School of Computing, Informatics, and Decision Systems ...€¦ · Seeing these opportunities also helps keep us focused on meaningful ... human decision making and learning and the

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School of Computing, Informatics, and Decision Systems Engineering

ANNUAL REPORT 2009 - 2010

Faculty of Computer Science & Engineering Faculty of Industrial Engineering

Contents 3 Director’s Welcome

4 A New School

6 Research

28 Faculty Excellence

32 Community Outreach

30 Student Excellence

36 Academic Programs

40 Directory

52 PublicationsGLOBAL IMPACT THROUGH COMPUTING AND ENGINEERING

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You’ll see numerous faculty and student awards and achievements throughout this report. One student group won the Microsoft Imagine Cup earlier this year, our junior faculty are winning CAREER Awards, our senior faculty are being noted as most highly-cited authors, and our people are being honored with best paper awards at all levels. For the purposes of the report we have tried to classify activities into four central themes: Computational Intelligence and Algorithms, Data Management and Information Assurance, Network Science and Systems, and Software and Systems Engineering. However, many of the activities transcend multiple areas and frequently involve faculty from other Schools as well. This is by intent. We pride ourselves in being the home for computing and decision technologies, but our mission is to reach out and employ these technologies for advancing the social condition. Seeing these opportunities also helps keep us focused on meaningful avenues for our theoretical research.

Please enjoy the remainder of the report, and let me hear your thoughts. We are always looking to expand our partnerships, so if you see a project of interest, or the ideas herein suggest a new possibility to you, please contact us to discuss ways to collaborate. And, as always, we welcome you to visit us in the Valley of the Sun. For more details, you can also check out our web site at http://engineering.asu.edu/cidse

Director, School of Computing, Informatics, and Decision Systems Engineering Professor of Industrial Engineering

Michael CrowPresidentArizona State University

Deirdre MeldrumDeanIra A. Fulton Schools of Engineering

Paul JohnsonExecutive DeanIra A. Fulton Schools of Engineering

Direc

tor’s W

elcom

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GeraldFarinGraduate Programs ChairSCIDSE

JohnFowlerProgram Chair Industrial Engineering

Yann-Hang LeeProgram Chair Computer Science and Engineering

Dear Friends and Colleagues,

Hello from Tempe and welcome to our 2009 – 2010 Annual Report. This has been an exciting year as we kicked off the new School of Computing, Informatics, and Decision Systems Engineering. By combining our existing healthy programs in Computer Science, Computer Systems Engineering, and Industrial Engineering, we have constructed a school that spans the spectrum from data to decisions.

We begin with a goal of envisioning, creating, and implementing transformational technologies for improving our everyday life through secure, timely, assured and ubiquitous access to reliable and relevant information. For the business analyst, that may mean understanding the current state of one’s competitors and supply chain. For the blind individual, that means artificial sensory perception to enable self-reliance. Our faculties of Computer Science and Engineering and Industrial Engineering are coalescing into an integrated academic unit that is reshaping the information driven society through internal cooperation and transdisciplinary external collaborations.

The school is making significant strides – growing in breadth while simultaneously strengthening our core disciplines and individual program size. We now have over 1,500 on-campus students and many more participating in our on-line programs. Particularly gratifying is the continued advancement in the quality and quantity of our research. Our funded research and number of graduate research assistants continues to grow.

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A NEW SCHOOL...Our Mission

The School of Computing, Informatics, and

Decision Systems Engineering (SCIDSE) at ASU

is a community of faculty, staff, and students

encompassing the disciplines of computer

science, computer systems engineering, industrial

engineering, informatics and systems engineering.

Our mission is to pursue academic excellence and

societal impact through outstanding teaching, use-

inspired, cutting edge research, and leadership in

service to the profession and community. We seek

to provide a flexible and proactive environment

that promotes innovative thinking, diversity,

transdisciplinary teaming, scholarship, and ethical

behavior in order to advance and realize the potential

of computing and information technology to enhance

society.

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Our VisionWe envision a society where secure, accurate, and

current information is ubiquitously available and data

is seamlessly collected, managed, and converted into

information that entertains individuals, empowers

businesses and guides the decisions of both in their

daily affairs. Our vision includes helping the blind

to see and companies to plan. We envision the ASU

School of Computing, Informatics, and Decision

Systems Engineering as a community recognized by

its colleagues internationally as a leader in enabling

this society and by students as a preferred location

for acquiring the knowledge and skills necessary to

contribute to this vision. We envision a community of

scholars cooperatively engaged in transdisciplinary

research addressing the grand challenges of modern

society and supporting the intellectual growth of

students and colleagues.

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COMPUTATIONAL INTELLIGENCE AND ALGORITHMS

DATA MANAGEMENT AND INFORMATION ASSURANCE

NETWORK SCIENCE AND SYSTEMS SOFTWARE AND SYSTEMS ENGINEERING

RESEARCH

COMPUTATIONAL INTELLIGENCE AND ALGORITHMS

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COMPUTATIONAL INTELLIGENCE AND ALGORITHMSComputational intelligence encompasses a collection of fundamental research areas dealing with the creation of knowledge from data, the development of algorithms for controlling computing decisions, and the effective approaches for interfacing computers and humans. The area focuses on enhancing human decision making and learning and the automation of computing processes.

Specialty Areas and Faculty Contacts:

Artificial Intelligence. SCIDSE researchers are addressing problems in automated planning and scheduling, constraint satisfaction, knowledge representation and reasoning, natural language processing, multi agent systems, and the semantic web. (Chitta Baral, Pat Langley, Joohyung Lee, Subbarao Kambhampati, Kurt VanLehn, Jieping Ye)

Theory and Algorithms. Understanding complexity and the theory of computation are critical for developing efficient algorithms. Research in this group focuses on both fundamental theory for analyzing algorithms and on developing specific deterministic and randomized algorithms for solving classic problem formulations relevant to the emerging problems in society and technology. (Rida Bazzi, Charles Colbourn, Goran Konjevod, Andrea Richa, Muhong Zhang)

Data Mining and Machine Learning. As scientific and enterprise data sets grow with respect to data characteristics (scale, accuracy, timeliness, media), dimensions, and instances it becomes imperative to develop new approaches to extract spatial and temporal relationships, correlation patterns and knowledge. The faculty are actively engaged in developing new methods for identifying patterns and extracting information. (Huan Liu, George Runger, Teresa Wu, Jieping Ye, Nong Ye)

Imaging, Graphics and Visualization. Rendering clearer images of urban scenes for games and homeland security, geometric modeling of images for new approaches to detect biosignature disease indicators using volumetric and other measures, recovery and digitization of information content in physical media and dynamic movements are all being addressed by SCIDE researchers. (Gerald Farin, Baoxin Li, Gregory Nielson, Peter Wonka, Yalin Wang)

Statistical Modeling. From universe to earth to nano scale, random phenomena influence behavior. Models and methods are being developed to better understand and predict random behavior to allow for more efficient acquisition of knowledge (Design of Experiments), improved estimation of system reliability, better characterization of system capability and making more accurate and meaningful inferences from data. (Jing Li, Doug Montgomery, Rong Pan, George Runger)

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When a Muslim-American citizen tries to set off a car bomb in New York's Times Square, many fear that the process of radicalization of all Muslims is well underway in Islamic communities at home and abroad. Many Muslims around the world are also worried about this prospect and are working to defeat violent extremists within their communities. But they don’t always get attention—from the media, from policy makers, or from academic researchers.

A new research project led by ASU’s Center for the Study of Religion and Conflict, "Finding Allies for the War of Words: Mapping the Diffusion and Influence of Counter-Radical Muslim Discourse," is seeking to change that. The project, which involves an international team of researchers, will examine what Muslims in the key regions of West African, Western Europe, and Southeast Asia are doing to counter and thwart the advance of radicalization.

"Many in the part of the world I study (Indonesia) are becoming increasingly concerned by what they see as an attempt by Middle Eastern groups to use wealth and prestige to establish an exclusionist, puritanical understanding of Islam as the voice of Islam. While this understanding of Islam is not inherently violent, it does, in some cases, provide theological cover for violent extremists," according to Mark Woodward, the principal investigator for the project and associate professor in the College of Liberal Arts and Science’s School of Historical, Philosophical and Religious Studies.

Research Brief -- COMPUTATIONAL INTELLIGENCE AND ALGORITHMS

Research Brief - COMPUTATIONAL INTELLIGENCE AND ALGORITHMS

"Finding Allies for the War of Words: Mapping the Diffusion and Influence of Counter-Radical Muslim Discourse” (Sponsor: DOD)

"Finding Allies for the War of Words," which is funded through 2013, is part of the Minerva Initiative, a social science research program funded by the U.S. Department of Defense.

Woodward, whose expertise is in Islam in Southeast Asia, leads a multi-disciplinary, multi-university team that includes, from ASU, Hasan Davulcu and Arun Sen (School of Computing, Informatics, and Decision Systems Engineering), Steven Corman (Hugh Downs School of Human Communication), and Thomas Taylor (School of Mathematical and Statistical Sciences); David Jacobson of the University of South Florida; Riva Kastoryano, Centre d'Etudes et de Recherches Internationales, Sciences Po (France); and Muhammad Sani Umar, Northwestern University.

“Despite the enormous literature concerning extremist Muslim movements,” stated Linell Cady, Director of CSRC, “there has been little discussion of the role of religious and cultural practices in countering them. This project aims to address that gap by examining the ways in which Muslim communities themselves fight back against extremist groups, at local, regional and global levels.”

At a colloquium on this topic sponsored by the Center, Muhammad Sani Umar, who heads the West Africa team, detailed the difficulties of such a project. “Radical and non-radical discourses,” said Umar, “interact with each other within the same political and social environments, and overlap intellectually by invoking the same Islamic authorities to support their divergent viewpoints and agendas. This makes it especially difficult for diplomats and policy makers who are looking for dichotomous identifications that are too simplistic and too unreliable.”

An innovative feature of the project is the way in which field researchers are working with a computer science research group. Headed by Hasan Davulcu, an associate professor of computer science and engineering, the team is developing a new approach to ethnographic research that takes account of the extensive global conversation taking place on the internet.

Davulcu talked about how his team of faculty and graduate students utilize computer technologies to process the volumes of material on the web. "The field ethnographers guide us to key terms and phrases that are commonly found in radical and counter-radical discourses. We look at what's online - speeches, rhetoric, attitudes – and train our automated system to recognize these patterns automatically.”

“We then apply these patterns to large publicly available document collections such as news sites and public discussion forums. This helps us to see shifts in opinions and influence within radical and counter-radical discourse," Davulcu said.

ASU was one of seven U.S. universities selected from a pool of 211 applicants to receive a Minerva award. Other awardees include MIT, Princeton, University of Texas at Austin, UC-San Diego, the Monterey Institute of International Studies, and San Francisco State University. “The Center for the Study of Religion and Conflict has brought together an impressive global team to address this problem,” said Cady. “By paying closer attention to the trends in religious and cultural values that help build and sustain peace, we can help deepen understanding between societies and contribute to wiser, more effective solutions.”

Research Brief -- COMPUTATIONAL INTELLIGENCE AND ALGORITHMS 9

Children’s Health Project: Linking Asthma to PM10 in Central Phoenix Research Brief - COMPUTATIONAL INTELLIGENCE AND ALGORITHMS

Arizona Department of Environmental Quality (ADEQ), the Arizona Department of Health Services (ADHS), Arizona State University researchers from the School of Computing, Informatics, and Decision Systems Engineering (SCIDSE), Center for Health Research, and the Center for Environmental Fluid Dynamics

Asthma is the most common chronic disease among children in developed countries with increasing rates reported in many countries, including the United States.

A joint project between the Arizona Department of Environmental Quality (ADEQ), the Arizona Department of Health Services (ADHS), and Arizona State University researchers from the School of Computing, Informatics, and Decision Systems Engineering (led by George Runger), the Center for Health Research, and the Center for Environmental Fluid Dynamics collaborated to study the relationship between air quality and childhood asthma in central Phoenix.

Arizona has a higher rate than the U.S. overall, and rates in Maricopa County were particularly high. Ambient air contains a wide-range of pollutants including airborne particles of different sizes.

Interpolated concentrations of PM10 (particulate matter under 10 micrometers in size) from a five-site network provided a spatial distribution that was mapped onto census tracts. This data was linked with a large volume of health transactions records from ADHS and the Arizona Heath Query (AZHQ) database from the Center for Health Research.

Extensive data pre-processing and preparation was required, and a spatial and temporal map between air quality and locations was developed. The models were challenged by strong seasonal effects for both air quality and asthma and needed to account for confounding variables such as day of the week, patient-level covariates (e.g., age, gender, lifestyle, etc.), and the presence of other air pollutants.

The researchers detected a significant association between PM10 in central Phoenix and childhood asthma incidents. The project demonstrated the capability for ASU and various state organizations to collaborate on an interdisciplinary project. In addition, they demonstrated methods useful to interrogate large heath bases, and methods to spatially and temporally link environmental models to those for health outcomes and account for many potentially confounding effects. Major findings on Asthma and PM10:• PM10 concentrations have a statistically significant association with asthma incidents incentral Phoenix at the 95% confidence level.• For children ages 5-17 an increase in the daily mean PM10 from the 25th to the 75th

percentile -36 μg/m³ in this study - is associated with a 13% increase in the probability of asthma incidents, an effect much stronger than in previous studies.• The effects of age and gender were insignificant.

Additional Findings:• CMAQ generally underestimated the higher PM10 concentrations and overestimated thelower, with the better correlations for the higher concentrations.• The better correlations in the higher concentration regimes, despite their under predictions,still bode well for the viability of the predictive tool to warn asthma populations in centralPhoenix.• The under predictions were most pronounced at the two maximum concentrationsites of Durango Complex and West 43rd Avenue, which represent the worst PM10 airquality in metropolitan Phoenix.• Any predictive system that comes close to predicting these peak concentrationsprovides adequate protection for asthmatic children in the rest of greater Phoenix.

10 Research Brief -- DATA MANAGEMENT AND INFORMATION ASSURANCE

DATA MANAGEMENT AND INFORMATION ASSURANCE “Preserving the Past with the Modern Archive”Information Assurance and Security: As a certified National Center for Academic Excellence, the Information Assurance Center forms a focal point for research and education in information assurance and security. Ensuring privacy and protection from attack for personal computers and corporate servers are challenges being addressed as well as developing schemes for addressing new distributed technologies such as cloud computing. (Gail-Joon Ahn, Partha Dasgupta, Dijiang Huang, Guoliang Xue, Stephen Yau, Nong Ye)

Multimedia: Data comes in many forms with intended use for many purposes in many environments. Virtualization must accommodate text, video, audio, tactile and eventually taste, smell and emotional response for high fidelity representation of the real world experience. Models for integrating multimedia and the creation of new technologies for multimedia educational experiences are under development. Additionally, SCIDSE researchers are making advances in heterogeneous data fusion and developing new tools to aid physically-impaired individuals. (Winslow Burleson, K. Selcuk Candan, Baoxin Li, Jeremy Rowe, Sethuraman Panchanathan, Hari Sundaram)

While networks connect entities, it is the data transmitted across those networks that empowers objects and enriches life. With terabytes of data being produced daily by single applications, storage, processing, and retrieval become key challenges. Knowing what, where, how, and how long to store and index data for later use are major challenges. The assured and secure functioning of this data management aspect in cyber space is critical to developing a trustworthy system that can support the needs of our modern information society.


Database Management and Information Retrieval: With close links to AI, query processing and extracting desired information from large, heterogeneous data bases represents a major challenge being addressed by SCIDSE researchers. Understanding data storage and designing storage protocols to enable efficient integrated workflow with data services and semantic web motivate research activities. (Chitta Baral, Yi Chen, K. Selcuk Candan, Hasan Davulcu, Subbarao Kambhampati)

Research Brief -- DATA MANAGEMENT AND INFORMATION ASSURANCE 11

tDAR is designed to enable scientists to observe and explore alternative models, data and metadata to inform the system regarding preferred strategies for integration.In 2009, the Mellon Foundation rewarded Candan and Kintigh's research and prototyping efforts with a two-year, $1.3 million grant (with additional funding contingent on the team's progress). That grant embeds tDAR in a new ASU Center for Digital Antiquity (http://digitalantiquity.org), a multi-institutional organization dedicated to establishing tDAR as the repository for archaeological data of the Americas and ensuring its long-term financial, technical, and social sustainability.

Because archaeology offers the only centennial- and millennial-scale data on the complex interactions that characterize socio-ecological systems, tDAR will enhance - to an unprecedented degree - the scientific understandings of the complex relationships between social and environmental change. Therefore, beside the potential for a transformative impact on archaeology, the team's research on fundamental information integration challenges contributes substantially to a shared infrastructure of science.

(Clockwise from left: Professors Subbarao Kamphampati, K. Selcuk Candan, Hasan Davulcu, student S. Toufeeq Ahmed, and Professor Margaret Nelson at an archaeological site in AZ)

DATA MANAGEMENT AND INFORMATION ASSURANCE “Preserving the Past with the Modern Archive”Archaeology is uniquely able to address research questions concerning social and ecological processes that operate at centennial or millennial scales. By providing scholars in diverse fields with meaningful access to long-term data on society, human biology, population, and environment, it has the potential to help scientists explain the dynamics that have constituted today's social world and shaped the modern environment.

While archaeologists are awash in data -on the order of 50,000 field investigations are undertaken annually in the US alone- the information needed to address these pressing questions is almost never collected by a single research team. The inability to integrate systematically collected data across different projects has crippled scientists' efforts to perform the crucial synthetic research needed to illuminate these important phenomena. With $1.35 million in grants from the National Science Foundation, a multi-disciplinary team (led by Profs. K. Selcuk Candan of SCIDSE and Keith Kintigh of the School of Human Evolution & Social Change (SHESC), with scientific contributions from Profs. Chitta Baral, Hasan Davulcu, Subbarao Khambampati and Maria Luisa Sapino of SCIDSE, and K. Spielmann and M. Nelson of SHESC have developed an international cyber infrastructure for archaeological data and documents, called tDAR (the Digital Archaeological Record, http://tdar.org).

tDAR offers cutting-edge data integration capabilities based on an innovative "user-driven integration" paradigm that enables integration of data and knowledge bases created by different researchers who use inconsistent recording protocols and conflicting schemas. Data and knowledge integration are costly in the time and expertise required from domain experts and are computationally challenging due to the complexities that arise when sources are not trivially compatible. Most existing solutions rely on a one-size-fits-all approach in which data are integrated up-front to a uniform standard. This solution, however, is not acceptable in scientific research, including archaeology, in which the variables of interest are many inferential steps removed from the observable variables and arguments must be comprised of a sequence of analytical steps that are individually assessed.

Candan and his colleagues observed that scientists bring a great deal of contextual knowledge to their integrative analyses and have strong beliefs about the kinds of integration operations that would be scientifically acceptable. They are, thus, indispensable to the integration process: their needs, assumptions, and knowledge must be leveraged to their fullest extents during the integration process. Candan states that "overly-eager, early conflict resolution (where some alternative interpretations are deemed inapplicable without sufficient evidence) can be detrimental to the effective use of the available knowledge." Therefore, he further argues that "the data and knowledge integration systems should not forget the user and, thus, should avoid a 'one-size-fits-all' approach to integration." Consequently,

12 Research Brief -- NETWORK SCIENCE AND SYSTEMS

NETWORK SCIENCE AND SYSTEMSNetworks permeate modern life. From the open and virtual private networks that support electronic data interchange within and between commercial enterprises to the wireless, mobile networks that enrich our personal lives by keeping us in contact with our friends and family, to the sensor networks that protect the homeland and enable scientific exploration, network technologies support our existence and constitute the backbone of cyber infrastructure. Protocols for ensuring safe, pervasive, and ubiquitous access to information must constantly adapt to the changing environment, both in terms of scale and technology. Modeling interactions and ensuring resiliency for today’s usage and preparing for tomorrow present significant research challenges being addressed at ASU.


Cloud and Distributed Computing. Maximizing the effective use of dispersed idle computing cycles while ensuring information reliability and security poses a major challenge being addressed by researchers. At the same time, growing calls for sustainable energy use dictate the need for careful design and management of large data centers and new strategies to support service oriented architectures. Along with these computing trends, the growing use of multimedia data presents the need for new data structures, application programming interfaces, and encoding rules. (K. Selcuk Candan, Partha Dasgupta, Sandeep Gupta, Dijiang Huang, Wei-Tek Tsai, Stephen Yau)

Cyber-Physical and Embedded Systems. Most modern devices from automobiles to smart phones are defined by their integrated hardware/software systems for sensing, computing, controlling, and communicating. Designing the network of interacting cyber-physical entities for efficiency, reliability, autonomy, sustainability and functionality is an on-going challenge being addressed by the group as well as embedded systems issues such as partitioning functions between hardware and software for maximizing performance with minimal power and cost. Architectural design and parallelism issues are paramount in preparing for the paradigm of multi-thread and multicore processors. The Center for Embedded Systems forms the core of this research and provides numerous opportunities for industrial collaboration as well as addressing fundamental challenges. (Karam Chatha, Georgios Fainekos, Sandeep Gupta, Yann-Hang Lee, Don Miller, Pitu Mirchandani, Aviral Shrivastava, Sarma Vrudhula)

Network Algorithms. Research spans problems in wireless, wireline, optical and transportation networks encompassing a broad range of problems from the design of resilient network architectures to operational routing to ensure connectedness in mobile ad hoc networks. Location services, access control and scheduling, self-stabilizing protocols, coverage and connectivity, multi path and QoS routing and congestion modeling are among areas of active interest by the research group. (Sandeep Gupta, Pitu Mirchandani, Andrea Richa, Arunabha Sen, Violet Syrotiuk, Guoliang Xue)

Social Computing. Social computing research seeks to understand social behavior and context based on communication systems. Based on the integration of social, physical, psychological and governmental mechanisms, this research relies on multidisciplinary collaboration to develop novel theories, behavior models and pattern mining tools to predict and connect the actions and interactions of individuals, groups, communities, and nation-states. The results have important application for commercial sponsors, social scientists, and security agencies alike. (Gail-Joon Ahn, Hasan Davulcu, Huan Liu, Guoliang Xue)

(Internet Topology Map)

Research Brief -- NETWORK SCIENCE AND SYSTEMS 13

NETWORK SCIENCE AND SYSTEMS

The energy inefficiency is caused by thermal phenomena such as heat recirculation and hot spots. These phenomena make the air-conditioning units work harder, in less efficient modes. By understanding and modeling the heat recirculation and how it is determined by the operation of the computers in the room, it is possible to adjust the computation to reduce the energy-wasting effects of heat recirculation. Over the years, Dr. Gupta's research on Green Computing has been funded by the National Science Foundation (NSF), Intel Corp. Science Foundation of Arizona, and Raytheon.

The IMPACT Lab is working on an NSF funded computing research infrastructure project called BlueTool (http://impact.asu.edu/BlueTool). The project's main objective is to design, construct and operate a small-sized data center to be used as a testbed for thermal-aware management algorithms. "Testing our models and algorithms in an actual data center is prohibitively expensive. BlueTool is the tool for showing the effectiveness of thermal-aware management, a data center available to the research community to test their algorithms for free," said Professor Gupta. "Once BlueTool is in operation we will be able to measure the energy savings which could be up to 50%, according to our simulations. Through our efforts, we hope to make cloud computing greener and more sustainable." Additionally, the IMPACT lab is involved with the FDA in making medical devices safer and more secure for pervasive health care.

Cloud computing relies on large data centers (a. k. a. server farms). According to a recent survey, data centers account for about 3% of the US energy budget. About half of that energy is used for cooling, making them of poor energy efficiency. Research at the IMPACT Lab (http://impact.asu.edu) at the School of Computing, Informatics and Decision Systems Engineering focuses on safe, sustainable, and secure high-performance, distributed, mobile and pervasive computing. One of its major efforts is in making data centers greener but with a twist: it makes use of their cyber-physical nature, that is, the fact that their physical performance (i.e. energy consumption) is tightly related to their cyber performance (i.e. computing).

If we allow computers to be aware of their thermal impact on their immediate environment, and equip them with the ability to adjust their computing accordingly, they can potentially schedule their computing to minimize this impact and, hence, help to reduce total energy consumption. "The trick is how to acquire and organize the knowledge of the thermal impact and make it usable by computers," said Professor Sandeep Gupta, who is the director for the IMPACT lab. "In other words, the trick is in the modeling of their cyber-physical nature and developing the management algorithms so that computers can use those models to adjust their operation and be greener."

"Making Cloud Computing Green by Exploring their Cyber-physical Nature”

14 Research Brief -- SOFTWARE AND SYSTEMS ENGINEERING

SOFTWARE AND SYSTEMS ENGINEERINGPersonalized Learning and Educational Games. With a basic goal of understanding how we learn and a secondary goal of improving the attractiveness and effectiveness of STEM education, SCIDSE faculty are developing intelligent virtual tutors and games that customize learning to the individual, taking HCI to a new level. (Mary Anderson-Rowland, Robert Atkinson, Winslow Burleson, Brian Nelson, Kurt VanLehn)

Production Logistics. Operations engineering of enterprises with an emphasis on the movement of people, information, and goods constitutes a major application area for operational analysis and systems modeling. Faculty research develops algorithms to efficiently produce products to meet demand and ensure safe, efficient transport of goods. (Ron Askin, John Fowler, Esma Gel, Pitu Mirchandani, Rene Villalobos)

Simulation Modeling and Systems. Throughout science, data-driven models take on a large role. SCIDSE faculty are developing structured languages and modeling tools to support the expanding role of simulation in turning scientific advances into knowledge and engineered solutions. (John Fowler, Hessam Sarjoughian, Wei-Tek Tsai, Teresa Wu)

Software Engineering Ensuring the reliability of software, assuring the provenance of data and the security of information transmittal are on-going challenges addressed by SCIDSE as we develop methods to enable new paradigms such as cloud computing. Research is ensuring effective functionality for middleware and application systems. (James Collofello, Hessam Sarjoughian, Wei-Tek Tsai, Stephen Yau)

Software instantiates our intentions and controls modern devices. Its pervasiveness in society, new computing paradigms and the growing complexity of many systems dictate the need for on-going development of flexible, reliable, and usable tools and development practices. Those new software tools and practices are then applied to applications that integrate computational theory, data, and networks. Within SCIDSE major efforts are having an impact in the areas of health informatics, personalized learning, logistics, enterprise information processes and modeling and simulation.

Specialty areas and faculty contacts:

Enterprise Systems. Collaborative design and decision making in an environment with dynamically evolving and distributed collaborators and competitors motivates the development of new tools and information sharing protocols being developed by the faculty. Methods for evaluating and improving systems engineering tools are also being developed. (Dan Shunk, Teresa Wu)

Health Informatics. SCIDSE faculty is actively engaged in the development and application of data mining tools for diagnosing disease incidence from health records. Designing patient and workflow processes to improve system efficiency are also active initiatives for SCIDSE researchers in health care. An additional thrust focuses on utilizing ubiquitous and pervasive computing to increase functionality and independence of physically-challenged individuals. At a higher level, policy analysis studies for public health policy and emergency management are being conducted. (John Fowler, Seungchan Kim, Baoxin Li, Jing Li, Sethuraman Panchanathan, George Runger, Yalin Wang, Teresa Wu, Jieping Ye, Nong Ye)

Research Brief -- SOFTWARE AND SYSTEMS ENGINEERING 15

SOFTWARE AND SYSTEMS ENGINEERING

SCIDSE Researchers Team with Mayo Clinic to Examine Radiation Exposure During Medical Procedures

The issue of radiation exposure during medical procedures has become an important public health issue as the number of procedures increases. Several cancers are known to be associated with high-dose exposure, including leukemia, breast, lung, esophageal, ovarian and gastric cancers, multiple myeloma and skin damage. The primary concerns are not for one or two scans but the cumulative exposure over a lifetime of multiple scans and a variety of radiation sources . It has been estimated that 50% of the CT scans performed on children and infants were potentially unnecessary. Having a comprehensive radiation dose information system, will ultimately reduce the numbers of these types of examinations.

Researchers from the Mayo Clinic Arizona (led by Dr. William Pavlicek) and SCIDSE (led by Drs. Teresa Wu and Muhong Zhang) are collaborating to integrate imaging data and clinical data through hospital information systems to electronically capture patient radiation dose. The objective is to accurately assess radiation exposure from multiple sources . In addition, a productivity tool termed “Imaging Exam Time Monitor©” (IETM) is being developed to accurately and transparently monitor imaging scanner efficiency for all devices and patients. In addition to providing physicians with radiation dose information specific to their patients to assist in prescribing tests, the IETM replaces current paper based methods and facilitates compliance with State and Accrediting Agency regulations. The efficiency metrics derived permit operations staff to identify and suggest changes for improvements aimed at reducing healthcare costs and improving patient safety.

Quality of Health Care Impact: Lowering radiation will immediately improve the quality of healthcare. A summary of the impact on improving Health Care Quality form this project includes:

• Providing quantitative data that identifies opportunities to reduce radiation exposure.• Enabling standards of dose usage including the ability to follow guidelines of an episode of dose and the number of exams that should be ordered for a specific patient. • Establishing monitoring and quality metrics for Quality Assurance purposes (e.g., monitoring by patients, by imaging modality, by physicians, by types of equipment).• Improving our understanding of benefits and risk with the use of ionizing radiation.• Automatically identifying patients who are at increased risk for adverse radiation effects and identifying the best practices with respect to radiation. • Providing an easy, consistent way to comply with state and federal radiation regulations.• Demonstrating a comprehensive response to national concerns over the consequences of radiation misuse.

With the successful implementation of this valuable data made readily available to all hospital information centers through a shared network, patients and physicians alike can utilize this important tool when making their decision on the risk vs. benefit factor of their next CT scan.

"Engineering Healthcare Delivery to Save Lives at Lower Cost ”

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The Center for Cognitive Ubiquitous Computing (CUbiC) at Arizona State University is an inter-disciplinary research center focused on cutting edge research targeting a variety of applications.

Most ubiquitous computing research takes a technology-centric view in solving real world problems. It is our belief that a balanced technology and problem-centric view is required in tackling challenging application domains. By targeting applications that require ubiquitous computing solutions, in contrast to applications with a ubiquitous computing flavor brings out the underlying challenges that need to be addressed. In keeping with this spirit, we have chosen to serve the needs of physically challenged individuals by empowering them with ubiquitous and pervasive computing technologies to enrich their lives. Motivated by this approach, we have assembled focus groups of blind and hearing-impaired individuals, researchers involved in disability studies and mobility instructors to bring out the real needs in this application.

RESEARCH CENTERS

CENTER for COGNITIVE UBIQUITOUS COMPUTING (CUbiC) CONSORTIUM for EMBEDDED SYSTEMS

The Consortium for Embedded Systems (CES) was established in 2001 as an Industry/University partnership dedicated to developing a globally recognized center for embedded computing system technologies. In March 2009 CES achieved the designation of National Science Foundation Industry/ University Cooperative Research Center.

Objects ranging from an iPod to an automobile use advanced computer technology commonly concealed by a metallic or decorative cover. Advanced technology of this nature usually operates through an embedded computer system. The Consortium for Embedded Systems (CES) researches the inner workings of embedded computer systems. A simplified explanation of embedded systems is that they are special purpose computer systems designed to perform one or a few dedicated functions and are part of a complete device including hardware and mechanical parts. Although most people do not realize it, they use some form of embedded systems in their daily interactions at work and at home.

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INFORMATION ASSURANCE CENTER (IAC)

Information systems through various types of networks have been indispensable for modern societies in the information age. To use and process information with great confidence, both the information systems and networks as well as the information must be trustworthy. For this objective, users need not only dependable and secure information systems and networks, but effective mechanisms to ensure integrity and quality.

The Information Assurance Center (IAC) is a multi-disciplinary center focusing on both research and educational activities to address the broad issues of developing trustworthy information systems (TIS) and ensuring the quality of information being stored, processed and transmitted by information systems and networks. Current research activities involve foundational, network, system and application aspects of developing and testing TIS; steganography; facial recognition, video surveillance, multimedia data processing, dynamic and deterministic Quality of Service management; data mining for security, privacy in data management; and situation-awareness.

PRISM is the focal point at Arizona State University for interdisciplinaryresearch in modeling and visualization to permit intelligent analysis and create spatial and dynamic knowledge.

The Partnership for Research in Spatial Modeling (PRISM) has a history ofcollaborative partnerships that center around how to develop, capture, model, analyze and interact with three-dimensional data. Researchers work with large, complex data sets from scanning devices that include 3D laser scanners, optical facial scanners and probe microscopes. 3D algorithms and software created by PRISM researchers allow users to accurately model and automatically segment, extract, measure and analyze features of interest to discipline researchers.

The computer-aided geometric design (CAGD) modeling and analytic tools developed at PRISM apply to surfaces and volumes within complex data sets regardless of scale.

CENTER for ENGINEERING LOGISTICS & DISTRIBUTION (CELDi)

PARTNERSHIP for RESEARCH in SPACIAL MODELING (PRISM)

CELDi is an applied research and education consortium consisting ofnine major research universities, more than 30 member organizations from commercial, military and government sectors of the economy, and The National Science Foundation (NSF). The ASU Center provides an international component to the consortium through its transborder studies.

CELDi has the mission of enabling member organizations to achieve logistics and distribution excellence by delivering meaningful, innovative and implementable solutions that provide a return on investment. CELDi partnerships achieve logistics and distribution excellence by solving real problems that achieve bottom-line impact, graduating students with real-world project experience, producing generalized, cutting-edge research, and sharing research results amongst member organizations to leverage intellectual and monetary capital.

$139,449,965

$15,030,565

$17,482,674

FACULTY RESEARCH ACTIVITYFY 2010

PROPOSALS

AWARDS

EXPENDITURES

18

Most Outstanding Research Award - Senior FacultySandeep Gupta Sarma Vrudhula

Most Outstanding Research Award - Junior FacultyJieping Ye

(Legend: PI(s), Sponsor, Title, Total Award, Start/End Dates)

Ahn, Gail-Joon, DOD-NSA, Detecting and Responding Network-centric Attack through Visual Analysis, $95,194, 7/1/2008 -7/29/2009

Ahn, Gail-Joon, DOE, Secure Information Sharing within a Collaboratory Environment, $100,575, 2/1/2009 - 1/31/2010

Ahn, Gail-Joon, DOJ, Examining the Creation, Distribution and Function of Malware on-Line, $25,000, 1/1/2009 - 11/30/2009

Ahn, Gail-Joon, NSF, TC: Small: Collaborative Proposal: User-Controlled Persona in Virtual Community, $269,900, 9/15/2009 - 8/31/2012

Ahn, Gail-Joon, Open Invention Network, User-centric Identity Management on Mobile Devices, $469,549, 5/1/2010 - 4/30/2012

Anderson-Rowland, Mary, National Action Council for Minorities in Engineering, NACME Scholars Program, $300,167, 8/16/2003 - 5/14/2010

Anderson-Rowland, Mary, Rodriguez, A., NSF, Collaborative Research: Motivated Engineering Transfers - STEM Talent Expansion Program (METSTEP), $1,218,000, 9/1/2009 - 8/31/2012

Ahn, Gail-Joon, NSF, CT-M-Collaborative Research: Securing Dynamic Online Social Networks, $585,000, 9/1/2008 - 8/31/2012

Anderson-Rowland, Mary, NSF, Academic and Professional Development for Upper-Division Computer Science, Engineering, and Mathematics Students, $500,000, 9/15/2006 - 8/31/2010

2009-2010 AY RESEARCH AWARDS

19

Anderson-Rowland, Mary, NSF, Collaborative Interdisciplinary Research Community Maricopa Engineering Transition Scholars (CIRC/METS) $400,000, 8/15/2003 - 7/31/2009

Anderson-Rowland, Mary, NSF, Motivated Engineering Transfer Students (METS), $159,669, 8/1/2008 - 8/31/2010

Anderson-Rowland, Mary, Rodriguez, A., Richa, A. NSF, Academic and Professional Development for Upper-Division Computer Science, Engineering, and Mathematics Students, $500,000, 9/15/2006 - 8/31/2010

Askin, Ronald, Mirchandani, Pitu, DOT, Enhanced Monitoring and Planning of Network Infrastructure with Remote Data Collection, $246,865 9/28/2009 - 1/3/2012

Baral, Chitta, NSF, Knowledge Representation, Reasonsing and Problem Solving in a Cellular Domain, $496,465, 8/1/2004 - 7/31/2010

Baral, Chitta, NSF, EAGER: Enabling Collaboration in the Creation of Scientific Databases from the Published Literature, $179,927, 9/1/2009 - 8/31/2010

Baral, Chitta, Kambhampati, S., Langley, P., DOD, Effective Human Robot Interaction under Time Pressure through Natural Language Dialogue and Dynamic Autonomy, $1,000,000, 10/1/2007 - 6/30/2012

Barton, C. Michael, Sarjoughian, H., NSF, Land-Use and Landscape Socioecology in the Mediterranean Basin, $1,523,996, 8/15/2004 9/30/2010

Bhattacharya, Amiya, Dasgupta, P., NSF, NeTS: Small: Realizing an Architecture for Community Sensor Grids, $315,781, 10/19/2009 - 12/31/2011

Burleson, Winslow, NSF, Workshop Proposal: Creativity and IT as Inte-gral Elements of Growing Creative-IT Communities, $50,000, 9/1/2008 - 8/31/2010

Burleson, Winslow, NASA, Mission Contingencies for Team (Astronaut - Robot - Mission Control) Interactions, $75,000, 8/29/2007 -8/17/2009

Burleson, Winslow, NSF, Game as Life - Life as Game, $100,034, 9/1/2007 -8/31/2009

Burleson, Winslow, NSF, HCC: Collaborative Research: Affective Learning Companions: Modeling and Supporting Emotion During Learning, $336,246 10/1/2007 - 9/30/2010

Burleson, Winslow, NSF, SGER: Creativity in IT Research Organizations $149,934, 9/1/2008 - 8/31/2009

Baral, Chitta, Lee, J., Ye, J., Intelligence Advanced Research Projects Activity, Integrating Machine Learning and Knowledge Representation for Discovery of Social Goals of Groups and Group Members from their Language Usage, $1,420,173, 8/24/2009 - 10/23/2012

Bazzi, Rida, NSF, Collaborative Research: CSR-DMSS, TM: Safe Live Updates of Scientific Workflows, $700,000, 9/1/2008 - 8/31/2012

20

2009-2010 AY RESEARCH AWARDS - contd.

Candan, K. Selcuk, Korea Institute of Science and Technology, A Framework for Real-time Context Monitoring in Sensor-rich Personal Mobile Environments, $83,000, 7/24/2009 - 5/31/2011

Candan, K. Selcuk, Davulcu, H., Sundaram, H., NSF, MAISON: Middleware for Accessible Information Spaces on NSDL, $499,970 , 1/1/2008 - 12/31/2010

Burleson, Winslow, NSF, Preparing for College: Using Technology to Support Students with Learning Disabilities in Mathematics, $25,496, 10/1/2009 - 9/30/2010

Candan, K. Selcuk, HP Corporate Philanthropy, Data-Quality Aware Middleware for Scalable Data Analysis, $150,000, 8/1/2009 - 7/31/2011

Chakrabarti, Chaitali, Chatha, K., Vrudhula, S., NSF, CSR-EHS: Analytical Techniques for Global Energy Minimizaiton of a System of Interacting Components, $400,000, 8/1/2005 - 5/31/2010

Chasey, Allan, Baral, C., DOD, Research Support for Engineering Processes for Facility Delivery Activities and Facility Sustainment Management, $5,000, 9/14/2006 - 9/20/2010

Chatha, Karamvir, NSF, CAREER: System-Level Design of Network-On-Chip Architectures, $400,000, 3/15/2006 - 2/28/2011

Chatha, Karamvir, Konjevod, G., NSF, System-level Design of Streaming Applications on Domain Specific Multi-core Processors, $233,014, 9/1/2009 - 8/31/2012

Chatha, Karamvir, Konjevod, G., Semiconductor Research Corporation, SRC: System-level Design of Streaming Applications on Domain Specific Multi-core Processors, $60,000 - 8/1/2009 - 7/31/2012

Chen, Yi, NSF, SGER: Enabling Effective Access to Scientific Workflows $87,370, 9/1/2007 - 8/31/2009

Chen, Yi, NSF, CAREER: Analyzing and Exploiting Meta-information for Keyword Search on Semi-structured Data, $478,655, 3/1/2009 - 2/28/2014

Chen, Yi, NSF, III Core Small: Collaborative Research: Mining and Optimizing Ad Hoc Workflows, $249,817, 9/1/2009 - 8/31/2012

Colbourn, Charles, Syrotiuk, V., DOD, Conditional Reliability and the Identification of Communities, $150,000, 6/4/2008 - 9/30/2009

Fowler, John, Askin, R., Zhang, M., Intel Corp, Factory Capacity Allocation Solver for Rapid within Shift Re-planning, $150,000, 1/1/2008 - 11/30/2010

Davulcu, Hasan, NSF, CAREER: A Logic-Based Dynamic Policy Model for Adaptive Workflow Management, $413,112, 1/16/2007 - 2/28/2011

Fowler, John, Intel Corporation, Intel Capital Equipment Supply Chain Lead Time Cost-Benefit Model, $250,000, 12/10/2008 - 9/22/2011

Fowler, John, NSF, Collaborative Research: Optimization of the Design and Operation Surgery Delivery Systems, $120,059, 9/1/2006 - 8/31/2010

21

Fowler, John, Wu, T., NSF, Collaborative Research: Developing an Engi-neering Virtual Organization for Discrete-Event Logistics Systems $26,884, 9/1/2007 - 8/31/2010

Huang, Dijiang, NSF, EAGER: Collaborative Research: A Secure and Resilient Virtual Trust Routing Framework for Future Internet, $133,000, 5/1/2010 - 4/30/2012

Gel, Esma, NSF, GOALI Collaborative Research: Matching Demand and Supply through Price and Lead Time Decisions, $185,996, 9/1/2007 - 8/31/2011

Gober, Patricia, Rowe, Jeremy, NSF, Decision Center for a Desert City (DCDC): Science and Policy of Climate Uncertainty, $7,503,929, 6/15/2004 - 8/31/2010

Gupta, Sandeep, Kambhampati, S., Northrop Grumman, Metaplanning Framework to Evaluate and Select Decision Making Paradigms for UAV Missions, $174,524, 2/8/2010 - 12/31/2010

Kambhampati, Subbarao, DOD, ASU Subcontract of LMCO Proposal to DARPA IL Program, $788,712, 5/15/2006 - 12/31/2009

Kambhampati, Subbarao, DOD, Foundations of Model-lite Planning: The Challenges of Planning with Incomplete and Evolving Domain Models, $342,854, 10/1/2008 - 9/30/2011

Kambhampati, Subbarao, DOD, Source and User Adaptive Information Integration, $472,589, 10/1/2008 - 9/30/2011

Kambhampati, Subbarao, NSF, RI:Medium: Collaborative Research: Solving Stochastic Planning Problems Through Principled Determinization, $328,821, 7/1/2009 - 6/30/2012

Kim, Seungchan, HHS-NIH-NLM, Integrating Genomic Data and Biological Knowledge to Learn Context-Specific Gene Networks, $91,470, 7/1/2009 - 9/29/2010

Kim, Seungchan, DOD, A New Therapeutic Paradigm for Breast Cancer Exploiting Low Dose Estrogen-Induced Apoptosis, $48,682, 9/1/2007 - 8/31/2009

Kintigh, Keith, Davulcu, H., Kambhampati, S., Candan, K. S., NSF, AOC: Archaelogical Data Integration for the Study of Long-Term Human and So-cial Dynamics, $749,984, 11/1/2006 - 10/31/2010

Kintigh, Keith, Candan, K. S., Mellon (Andrew W.) Foundation, Digital Antiquity: Enabling and Enhancing Preservation of and Access to Archaeo-logical Information, $1,294,000, 12/22/2008 - 4/30/2011

Konjevod, Goran, Richa, A., NSF, Dynamic Routing, Distributed Hash Tables and Location Services, $108,999, 8/1/2008 - 7/31/2010

Kumar, Sudhir, Ye, J., HHS-NIH-NHGRI, Computational Analysis of Gene Expression Pattern Images, $1,704,027, 7/1/2007 - 6/30/2011

Lacroix, Zoe, Chen,Y., NSF, Collaborative Research: SEI+II Proto-colDB: Archiving and Querying Scientific Protocols, Data and Provenance, $651,628, 8/15/2006 - 7/31/2010

22


Langley, Patrick, DOD, Workshop of Evaluation of Research in Human-Level AI, $9,791, 2/1/2009 - 1/31/2010

Langley, Patrick, DOD, MURI: A Unified Computational Theory of Language and Cognition, $644,849, 6/1/2009 - 5/31/2012

Langley, Patrick, DOD, Mental Simulation and Learning in the Icarus Architecture, $139,529, 1/1/2009 - 6/30/2010

Langley, Patrick, Kambhampati, S., NSF, Computational Approaches to Creativity Through Goal-Directed Cross-Domain Analogy, $199,828, 9/15/2007 - 2/28/2010

Langley, Patrick, DOD, Software Integration for Computational Cognitive Models in Virtual Environments, $228,702, 7/1/2009 - 7/14/2011

Lant, Timothy, Fowler, J., Arizona Department of Health Services, Risk Communication Analysis and Simulation for Pandemic Influenza Preparedness, $120,000, 9/16/2009 - 9/15/2010

Lee, Joohyung, NSF, RI: Small: Enhancing Nonmonotonic Declarative Knowledge Representation and Reasoning by Merging Answer Set Programming with Other Computing Paradigms, $290,668, 7/1/2009 - 8/31/2012

Lee, Joohyung, NSF, SGER: Grounding Independent Reasoning in Answer Set Programming, $80,000, 9/1/2008 - 8/31/2009

Lee, Yann-Hang, Tsai,W-T., Electronics and Telecommunications Research Institute, Process based Ontology Design for Smart Home Applications, $73,000, 8/1/2008 - 1/30/2010

Lee, Yann-Hang, Tsai,W-T., Electronics and Telecommunications Research Institute, Developing Dynamic Service Generation Algorithm for Smart Home Devices, $38,167, 7/1/2009 - 1/31/2010

Li, Baoxin, DOD, An Event-driven Approach to Efficient Summarization, Visualization, and Browsing of Massive Combat Video Database, $30,69, 1/27/2009 - 9/28/2009

Li, Baoxin, DOD, A Systematic Approach to 3D Imaging and Visualization for Enhancing Target Detection and Discrimination, $150,000, 11/1/2006 - 10/18/2009

Li, Baoxin, NSF, CAREER: Enabling Independent Access to Digital Graphical Contents for People with Visual Impairment, $419,768 - 3/1/2009 2/28/2014

Li, Baoxin, Liu, H., NSF, III-Medium: A Machine Learning Approach to Computational Understanding of Skill Criteria in Surgical Training, $874,484, 5/16/2009 - 6/30/2013

Liu, Huan, DOD, Developing A Cultural Analysis and Sociological Network Theory for Understanding Virutal Communities and Their Intrinsic Relationships on the Web, $261,735, 1/15/2009 - 11/30/2011

Li, Jing, NSF, Regression-based Quality Improvement in COmplex Systems with Consideration of Data Uncertainty, $190,476, 9/1/2008 - 8/31/2011

Liu, Huan, Woodward, M., DOD, BlogTrackers: Building Search and Tracking Capabilities for Assessing Political Risks (Phase 2), $88,981, 10/10/2008 - 5/31/2010

Liu, Huan, DOD, Online Social Behaviors and Prediction of their Implications for the Physical World-A Comparative Study, $284,721, /1/2009 12/31/2011

23

Liu, Huan, DOD, BlogTrackers: Analyzing Social Media for Cultural Modeling, $419,739, 1/31/2010 - 12/31/2013

Maracas, George, Pan, R., Science Foundation of Arizona, PEPER- Photovoltaic Environmental Performance and Reliability for the Arizona-Wide Electric Grid, $2,890,000, 6/30/2009 - 6/29/2012

Liu, Huan, HHS-NIH-NIGMS, Second International Workshop on Social Computing, Behavioral Modeling, and Prediction, $12,000, 3/16/2009 - 3/15/2010

Liu, Huan, DOD, Modeling Group Interactions via Open Data Sources, $434,782, 3/1/2008 - 11/30/2010

Liu, Huan, NASA, A Collective-Computation Approach to Prognostics Health Management, $200,000, 8/1/2008 - 8/31/2009

Mchenry, Albert, Villalobos, J. R., NSF, More Graduate Education at Mountain States Alliance (MGE@MSA) AGEP Phase II (2004-2009) $10,100,000, 10/1/2004 - 3/31/2011

Mirchandani, Pitu, Telvent Farradyne Inc., Integration of the RHODES Adaptive Control Algorithm with MIST Platform, $76,616, 8/1/2009 - 9/30/2010

Mobasher, Barzin, Montgomery, D., ADOT, Economical Concrete Mix Designs Utilizing Blended Cements, Performance Based Specifications, and Rational Pay Factors, $120,000, 7/8/2008 - 11/15/2010

Nganje, William, Runger, G., Villalobos, J. R., DHS, Intelligent Food Defense Systems for International Supply Chains: The Case of Mexico Fresh Produce to the U.S., $247,091, 7/1/2008 - 12/31/2009

Nielson, Gregory, NSF, Special Project: Building Relationships with Asia to Foster Research Exchanges and Student Training in Scientific Data Visualization and Modeling, $15,000, 8/1/2007 - 7/31/2009

Pan, Rong, Li, J., ADOT, ADOT Research Project SPR675: Effectiveness of Young Driver Training and Graduated Licensing Laws, $80,000 1/13/2009 - 8/1/2010

Pan, Rong, Montgomery, D., NSF, Collaborative Research: Efficient Ex-perimentation for Product and Process Reliability Improvement, $348,315 10/1/2009 - 9/30/2012

Pan, Rong, DOD, Understanding and Validating NOEM Outputs, $31,000 , 1/1/2010 - 9/30/2010

Pan, Rong, DOD, Analysis of Stability Indices and Their Representations in NOEM, $10,000, 8/10/2009 - 12/31/2009

Pan, Rong, DOEd, Developemnt and Evaluation of e-Based Bio-Manu-facturing Laboratory for Engineering Education, $118,981, 10/1/2008 - 9/30/2012

Pan, Rong, NSF, Modeling and Analysis of Profiled Reliability Tests Using Computation-Intensive Statistical Methods, $263,256, 9/1/2006 - 6/30/2010

Montgomery, Douglas, NSF, Collaborative Research: Web-based, Active Learning Modules for Teaching Statistical Quality, $245,245, 8/11/2008 - 8/31/2011

24


Richa, Andrea, NSF, Theory of Self-Stabilizing Overlay Networks, $170,161 9/1/2008 - 8/31/2010

Rikakis, Thanassis, Candan, K. S., Sundaram, H., NSF, IGERT: An Arts, Sciences, and Engineering Research and Education Initiative for Experimental Media, $3,638,079, 10/1/2005 - 9/30/2011

Razdan, Anshuman, Wonka, P., DHS, ATIC-ASU component of Kutta Consulting, Inc’s submission to Dept. Homeland Security STTR, Phase II, $200,000, 5/15/2008 - 8/15/2010

Razdan, Anshuman, Wonka, P., DOD, Geometry Based Feature Extraction and Analysis of Geo Data, $449,094, 7/29/2005 - 7/28/2009

Rodriguez, Armando, Anderson-Rowland, M., Richa, A., NSF, Academic and Professional Development for Upper-Division Computer Science, Engineering, and Mathematics Students -II: Transition to Research, $600,000, 9/1/2007 - 8/31/2011

Rodriguez, Armando, Anderson-Rowland, M., Richa, A., NSF, Academic & Professional Development for Lower-Division Computer Science, Engineering, and Mathematics Students: Transition to Upper-Division, $600,000, 8/1/2008 - 7/31/2012

Runger, George, Rowe, J., DOD, Important Features for Complex Systems with Transient Effects, $452,380, 3/16/2009 - 3/15/2012

Runger, George, Intel Corporation, Data Mining Pilot on Intel Factory Data, $285,500, 11/1/2002 - 12/31/2010

Runger, George, Ministry of Science, Technology & Innovation, Danish Industrial Ph.D Fellowship, $29,450, 8/16/2002 - 8/15/2009

Runger, George, NSF, Feature Selection with Ensembles for Complex Systems, $99,999, 9/1/2007 - 2/28/2010

Runger, George, NSF, Collaborative Research: Blind Discovery of Variation sources for Visualization by Multidisciplinary Teams, $170,063, 8/1/2008 - 7/31/2011

Runger, George, Semiconductor Research Corporation, Demand-Pricing Relationships for a Better Demand Supply Chain Planning, $318,000, 1/1/2009 - 12/31/2011

Sen, Arunabha, Li, B., DOD, Shared Vision: Embedded Technology for Military Operations in Urban Terrain, $304,592, 8/1/2006 - 8/14/2009

Sarjoughian, Hessam, RTSync Corp., Automated Sensor-based Network Simulation Joint Interoperability Test Command, $226,021, 10/1/2008 - 3/31/2010

Sen, Arunabha, Li, B., DOD, VISION-SHARE System: A Test bed for Video Transmission over Mobile Ad-hoc Networks with Applications to Military Operations in Urban Terrain (DURIP), $92,657, 5/1/2007 - 8/14/2009

Sen, Arunabha, DOD, Robust Network Design - Connectivity and Beyond, $1,288,640, 4/1/2009 - 11/30/2010

Qian, Gang, Candan, K. S., Farin, G., Li, B., Sundaram, H., NSF, CISE RI: An Interdisciplinary Research Environment for Motion Analysis, $758,082, 9/1/2006 - 8/31/2011

25

Tsai,Wei-Tek, Chen,Y., DOD, Testing Service-Oriented Software and Systems, $41,500, 6/1/2010 - 12/31/2010

Sen, Arunabha, DOD, First International Workshop on Network Science for Communication Networks (NetSciCom), $10,000, 4/8/2009 - 4/7/2010

Shrivastava, Aviral, Microsoft Corporation, Low Power Compilation in Phoenix, $50,000, 10/11/2007 - 10/10/2010

Sen, Arunabha, DOD, A Robust and Resilient Network Design Paradigm for Region-Based Faults Inflicted by WMD Attack, $ 758,140, 4/8/2009 - 4/7/2012

Shrivastava, Aviral, Arizona Security Technologies, Inc., Arizona Security Technologies Consulting Relationship with Aviral Shrivastava, $12,233, 5/20/2010 - 8/19/2010

Shrivastava, Aviral, NSF, CCF-SHF: CSR: Small: Compilation for Multi-Core Processors with Limited Local Memories, $515,776, 8/1/2009 - 7/31/2012

Sundaram, Hari, Candan, K. S., NSF, Collaborative Research: Design of Dense RFID Systems for Indexing in the Physical World across Space, Time, and Human Experience, $174,000, 9/15/2007 - 8/31/2010

Sundaram, Hari, Avaya Labs Research, Context Aware Expertise Closure $190,909, 12/1/2005 - 8/14/2010

Syrotiuk, Violet, Colbourn, Charles, Fed Govt, Autonomous Network Optimization and Compressive Sensing, $311,959, 9/24/2009 - 9/23/2010

Tsai, Wei-Tek, Chen,Y., Collofello, J., Lee, Y-H., DOEd, Preparing High School Teachers for Service-Oriented Computer Science Education, $596,427, 11/1/2006 - 5/31/2011

Van Schoik, Liu, H., Runger, G., Rowe, J., DHS, DHS COE in Border Security and Immigration, $408,500, 7/1/2008 - 6/30/2010

VanLehn, Kurt, Aptima, Inc, Adaptive Training to Enhance Individual and Team Learning, $31,000, 6/29/2009 - 4/30/2010

VanLehn, Kurt, Burleson, W., NSF, Deeper Modeling via Affective Meta-tutoring, $643,118, 9/1/2009 - 8/31/2011

VanLehn, Kurt, NSF, PSLC LearnLab Course, $499,313, 10/1/2009 - 1/31/2015

VanLehn, Kurt, NSF, Transfer Award: ITR: Tutoring Scientific Explana-tions via Natural Language Dialogue, $139,488, 10/1/2008 - 12/31/2009

Villalobos, J. Rene, Askin, R., Gel, E., NSF, Arizona State University affili-ation with the Center for Engineering Logistics and Distribution (CELDi), $107,856, 6/3/2008 - 8/31/2011

Villalobos, J. Rene, Administracion Portuaria Integral de Guaymas S.A. de C.V, CELDi Member: Port of Guaymas, $51,700, 2/1/2009 - 8/31/2010

Villalobos, J. Rene, ADOT, CELDi Membership: Forcast and Capacity Planning for Nogales’ Ports of Entry (Nogales POEs Traffic Study), $100,000, 7/1/2008 - 12/31/2009

26


Vrudhula,Sarma, Raytheon, Membership Agreement: Raytheon Company: Consortium for Embedded Systems Membership, $100,000, 1/1/2008 - 12/31/2009

Vrudhula, Sarma, Chatha, K., Dasgupta, P., Shrivastava, A., Science Foundation of Arizona, An Integrated Design Framework for Application Development on Multi-core Processors, $2,000,000, 5/16/2008 - 7/31/2011

Vrudhula,Sarma, Lee,Y-H., Chatha, K., Shrivastava, A., NSF, Collaborative Research: Consortium for Embedded Systems, $300,000, 3/1/2009 - 2/28/2014

Vrudhula, Sarma, Intel Corporation, CES Member: Intel Corporation $50,000, 9/28/2009 - 9/27/2012

Vrudhula, Sarma, NSF, NeTS:Medium:Collaborative Research: Exploiting Battery-Supply Nonlinearities in Optimal Resource Mgmt and Protocol Design for Wireless Sensor Networks, $215,000, 8/1/2009 - 7/31/2012

Vrudhula, Sarma, NSF, Collaborative Research: Synthesis, Verification and Testing for Nano-CMOS and Beyond using Threshold Logic, $200,000, 10/1/2007 - 9/30/2010

Wonka, Peter, NSF, SEI(GEO): Visual Geo-Analystics, $610,335, 8/1/2006-7/31/2010

Wonka, Peter, NSF, Pilot: SOUZOU - Creativity through Procedural Modeling, $199,962, 7/1/2008 - 6/30/2011

Wonka, Peter, NSF, HCC: Small: Collaborative Research: Graph and Pattern Design on Surfaces, $249,601, 8/1/2009 - 7/31/2012

Wonka, Peter, Vienna University of Technology, Gameworld: Procedural Worlds for Games, $129,727, 3/1/2008 - 2/28/2011

Wonka, Peter, NSF, CAREER: Constraint Proceedural Urban Modeling, $559,117, 3/1/2007 - 2/28/2011

Woodward, Mark, Davulcu, H., DOD, Funding Allies for the War of Words: Mapping the Diffusion and Influence of Counter-Radical Muslim Discourse, $5,886,813, 4/1/2009 - 3/31/2014

Wonka, Peter, Ye, J., NSF, CPA-G&V: Tensor Factory, $299,999, 7/1/2008 - 6/30/2011

Wu,Tong, Zhang, M., Mayo Clinic Scottsdale, Integrated Patient Radiation Dose Record (IIMF), $148,380, 1/1/2009 - 12/31/2010

Xue, Guoliang, NSF, WN:Collaborative Research: Cross-layer Optimization for Dynamic Spectrum Access Wireless Mesh Networks, $108,000, 9/1/2007 - 2/28/2010

Villalobos, J. Rene, Consejo para el Desarrollo Economico de Sinaloa, CEL-DI Member: CODESIN (Consejo para el Desarrollo Economico de Sinaloa), $104,500, 2/1/2009 - 8/31/2010

Vrudhula, Sarma, Science Foundation of Arizona, A Novel Threshold Logic Based Circut Architecture for High Performance and Low Power Digital Systems, $490,000, 10/1/2008 - 9/30/2010

Ye, Nong, DOD, Models of Quality of Service and Quality of Information Assurance towards Their Dynamic Adaptation, $204,084, 4/30/2008 - 10/30/2010

Xue, Guoliang, DOD, Multi-Constrained Multi-Path Routing Algorithms, $442,236, 8/25/2009 - 8/24/2013

Yau, Sik-Sang, Candan, K. S., Dasgupta, P., Huang, D., Xue, G., Ahn, G-J., Ye, N., DOD-NSA, DoD Information Assurance Scholarship (IASP) Program: Building Information Assurance forces at Arizona State University, $52,766, 9/11/2008 - 9/10/2009

Yau, Sik-Sang, Sarjoughian, H., Ye, N., NSF, SoD: Design of Service-based Software Systems with Qos Monitoring and Adaptation and Adaptation, $800,000, 8/1/2007 - 7/31/2011

Ye, Jieping, Wonka, P., DOD, Integrated Spectral Dimensionality Reduction, $301,104, 8/5/2008 - 8/5/2010

Ye, Jieping, NSF, SEI: Machine Learning Approaches for Biological Image Informatics, $583,603, 8/1/2006 - 7/31/2010

Ye, Jieping, NSF, CAREER: Dimensionality Reduction for Multi-label Classification, $78,388, 4/1/2010 - 3/31/2011

Xue, Guoliang, NSF, IHCS: Improving Coverage and Connectivity in Heterogeneous Wireless Sensor Networks through Relay, Cooperation, and Mobility, $339,519, 8/1/2009 - 7/31/2012

Zhang, Muhong, Wu, T., Mayo Clinic Scottsdale, ASU Mayo Seed Grant: Radiation Skin Dose Calculation for Specific Patient in Various Procedures, $24,714, 1/1/2009 - 12/31/2009

Zhang, Junshan, Xue, G., NSF, NeTS: Medium: Collaborative Research: MIMO-Pipe Modeling, Scheduling and Delay Analysis in Multi-hop MIMO Networks, $400,000, 8/1/2009 - 7/31/2012

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Sethuraman "Panch" Panchanathan, deputy vice president for Research in ASU's Office of the Vice President for Research and Economic Affairs, was recently inducted into the prestigious Canadian Academy of Engineering. The Academy was established in 1987, and is an active member of the international Council of Academies of Engineering and Technological Sciences (CAETS), which involves 25 other leading countries compromised of a small number of distinguished engineers.

Panchanathan is also a foundation chair in Computing and Informatics in the School of Computing Informatics and Decision Systems Engineering and the director of the Research Center for Cognitive Ubiquitous Computing (CUbiC) at ASU.

The year 2009 brought two prestigious career highlights for Regents’ Professor Douglas Montgomery. In February, Montgomery received the Engineering Lifetime Achievement Award, bestowed by the Greater Phoenix Area Engineers during National Engineers Week. The Greater Phoenix Area group accepts award nominations from several local chapters of various professional engineering societies, engineering and construction companies, public agencies and educational institutions.

Receiving the 2009 Lifetime Achievement Award is especially fitting for Montgomery, who is being recognized for his numerous achievements and contributions to the field of Engineering, which include four decades as a teacher, researcher, author and industry consultant.

A second honor bestowed to Dr. Montgomery was the Greenfield Industrial Medal (named for Tony Greenfield, renowned statistician, professor and industry consultant), by the Great Britain-based Royal Statistical Society at its annual meeting in June. Dr. Greenfield states of Montgomery: “Douglas Montgomery shares my passion for teaching engineers and scientists how to use statistical methods in their research, especially for improving products and processes. But his achievements in satiating that passion have far

exceeded any that I could have hoped for myself. He has excelled in bringing together his wide abilities in engineering, mathematics, statistics, writing and teaching. His books are profound in knowledge and splendid in their pedagogy. I was thrilled, delighted and humbled to learn that the Royal Statistical Society had awarded him the Greenfield medal.” The society, with more than 7,000 members in 50 countries, provides professional support to users of statistics and statisticians, and promotes the benefits of expertise in statistical methods to the industry.

At The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), The Most Influential Paper Award 2010 was awarded to Manoranjan Dash and Huan Liu (on right), for their technical paper on Feature Selection for Clustering published and presented at PAKDD 2000, in recognition of its influential and lasting contribution to the field of data mining, as evidenced by citations and impressive body of research based on it. Many quality papers started appearing in 2004 on the same topic. Liu states, “Of all the things we do as scientists, coming up with an original idea that stands the test of time is far and away the most significant one.”

Liu Receives Most Influential Paper Award

FACULTY EXCELLENCE

Montgomery Earns Greenfield Industrial Medal, Lifetime Achievement Award

Panchanathan Named to Prestigious Academy Nakamura Named Engineering Schools’ ‘Best Teacher’

S. Kim, S. Nasser, A. Ranade and G. Weiss, “Identifying MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain.” 2009 International Conference on Bioinformatics & Biomedicine in Washington, D.C., 2009.

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Goran Konjevod won the first-place prize in the Exhibition of Mathematical Art at the 2009 national Joint Mathematics Meetings of the American Mathematical Society and Mathematical Association of America in Washington, D.C.

2009-2010 Best Paper AwardsI. Arroyo, D. Cooper, W. Burleson, B. Woolf, K. Muldner and R. Christopherson, “Emotion sensors go to school,” Proceedings of 14th International Conference on Artificial Intelligence in Education, Brighton, England, July 2009

M. Chi, K. VanLehn and D. Litman, “Do Micro-level Tutorial Decisions Matter: Applying Reinforcement Learning to Induce Pedagogical Tutorial Tactics.” In V. Aleven, J. Kay & J. Mostow (Eds), Intelligent Tutoring Systems: 10th International Conference, ITS 2010 (pp. 184-193). Heidelberg, Germany

2009-2010 Most Viewed Presentation

“Safe, Secure and Sustainable Body Area Networks using Intel ATOM”Sandeep Gupta, School of Computing, Informatics, and Decision Systems Eng. (SCIDSE), Arizona State University, Tempe, AZ.

Most Influential Paper Award-Runner Up

M. Do and S. Kambhampati, “Solving Planning Graph by Compiling it into a CSP.” Proc. 5th AIPS. AIPS 2000: 82-91, ICAPS, Toronto, 2010

Konjevod wins 1st Place in Exhibit of Mathematical Art

H. Liu and Z. Zhao, “Biological Relevance Detection via Network Dynamic Analysis”, 2nd International Conference on Bioinformatics and Computational Biology (BICoB), Honolulu, Hawaii. March 24 - 26, 2010

Nakamura Named Engineering Schools’ ‘Best Teacher’

Mutsumi Nakamura is the recipient of the Best Teacher Award for the 2009-2010 academic year in Arizona State University’s Ira A. Fulton Schools of Engineering.

Nakamura, who has been teaching at ASU for the past decade, is a senior lecturer in the School of Computing, Informatics, and Decision Systems Engineering.

Dr. Nakamura was also the recipient of this year’s CSE Best Teacher Award, an honor

that is bestowed to a SCIDSE faculty member by student nomination. The awards recognize exceptional contributions to the instruction and mentoring of students. Nakamura teaches core courses in computer science and engineering, including computer programming and software engineering.

Mary Anderson-Rowland, associate professor in the program of Industrial Engi-neering, has won the 2009 Women in Engineering Proactive Network (WEPAN) Educator's Award.

The annual honor recognizes engineering educators for exceptional achievement in increasing the participation and retention of women in engineering. "She has had a profound impact on the lives of hundreds of students," said James Collofello, associate dean for Academic and Student Affairs for the Fulton Schools of Engineering. “Professor Anderson-Rowland has changed the face of our engineering school with her leadership in supporting women in engineering.”

Anderson-Rowland Recipient of 2009 WEPAN Educator’s Award

Yi Chen's work in computer science and engineering focuses on data management. She wants to improve the accessibility of Internet data for search engine users. Chen points out that Internet users employ Google to access millions of HTML documents accessible on the World Wide Web. In addition to this easily searched information, there is a "hidden web," she says, that includes high-quality research, travel, commerce and manufacturing data stored in databases not easily accessed by search engines such as Google. "The better research information you have," says Chen," the better your discoveries can be." Chen would like to develop a single interface that can search both HTML documents and databases using simple keyword searches. The NSF cites Chen's work as a potentially transformative advance because it would allow the user to cut across the boundaries between information that is stored in distinctly different modes, and it would overcome some of the problems associated with traditional databases and methods of information retrieval.

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CAREER AWARDS

Baoxin LiAssociate Professor

Yi ChenAssistant Professor

Baoxin Li is working in the areas of computer vision, multimedia processing and statistical methods in visual computing. His Career Award provides about $404,000 over five years for research into technology to aid visually impaired people. “We want to build a computer-based system to automatically create tactile graphics for people with visual disabilities,” Li says. His idea is to use computer technology to allow a person with visual impairments to read text or view web site content on-demand in the privacy of their own homes and work spaces in the same way as people without sight impairments. His research team is attempting to render representations of graphics usable by the visually impaired. One project is the development of software designed to “read” an image and render a tactile representation of that image. Initially, Li is focusing on textbooks used by students in science, technology, engineering and mathematics, commonly referred to as STEM courses. He explains that STEM education materials are

“heavy with diagrams and illustrations” presenting a challenge for sight-impared students who must seek out services to assist them in comprehending the illustrations that are central to STEM studies.

Using Computers to Help the Visually Impaired

Unlocking the Door to the Internet’s Deep Well of Data

Dean Deirdre Meldrum presents Drs. Baoxin Li (above) and Yi Chen (right) with their NSF Career Awards

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Recent advances in high-throughput technologies have unleashed a torrent of data with a large number of dimensions. Examples include gene expression pattern images, microarray gene expression data, protein/gene sequences, and neuroimages. Dimensionality reduction, which extracts a small number of features by removing irrelevant and redundant information, is crucial for the analysis of these data. The goal of this project is to develop efficient and effective dimensionality reduction algorithms for multi-label classification.

Ye states "My work aims at developing efficient and effective dimensionality reduction algorithms for knowledge discovery and pattern mining from massive high-dimensional multi-label data. High dimensional data analysis has become increasingly important in diverse areas including genomics, health sciences, finance, statistics, signal processing, and machine learning." The algorithms and tools developed in this project will directly impact biological research, as they will be used to annotate FlyExpress images. FlyExpress is the only digital library of standardized fruit fly embryonic patterns. The components of this project include developing a new curriculum that incorporates research into the classroom and provides students from under-represented groups with opportunities. Jieping Ye

Associate Professor

Cutting Through the Torrent of Data: Dimensionality Reduction

Dijiang HuangAssistant Professor

Better security, reliability and mobility are the big targets in the realm of wireless communication technologies.Dijiang Huang’s promising research in computer and communications networks – specifically in the emerging area of secure mobile cloud computing – has earned him a grant from the Office of Naval Research (ONR) Young Investigator Program to help take aim at these goals.

The Arizona State University assistant professor is one of 17 researchers to win one of the ONR program’s 2010 Young Investigator Awards – from among more than 200 who applied – and the only one to earn such a grant in the area of secure networking and communication. The ONR grant will provide up to $510,000 over three years to support Huang’s effort to develop a framework for advanced mobile wireless computing and communication systems that will employ cloud-computing techniques. Cloud computing is Internet-based computing that works similarly to a public utility, providing on-demand information and software services directly to computers and mobile devices. His goal is to develop a new mobile service model that uses mobile devices as cloud-service nodes with a range of capabilities comparable to cell phones, global-position tracking systems, sensing and networking technologies.

Navy Supports Mobile Communications Research

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COMMUNITY OUTREACH

SCIDSE’s Motivational Environments Research Group Advances K-12 STEM Cyberlearning

SCIDSE’s Motivational Environments research group, led by Assistant Professor Winslow Burleson, is advancing the next generation of Human-Computer Interaction methods, theories, technologies, architectures, and environments that incorporate wearable and ambient sensors, responsive spaces, robots and relational agents to promote creativity, teamwork, learning, and motivation. These activities are pursued through collaborations with teachers, online communities and museums involved in the research and development of novel educational technologies and the iterative deployment and evaluations of these in real world classrooms, museums, zoos and outdoor settings through participatory design methodologies.

The group engages children in grades K-6 in robotic pet building activities that foster their interest in STEM education. They use paper cards with compelling icons to teach robotic birds, frogs, cows and lions equipped with web cams and computer vision software how to decode the icons, and how to navigate and behave in challenging environments. Learners are also asked to “become the robots” as a naturally engaging way for them to form new hypotheses and to test and debug scenarios they construct. As pet building activities broaden the traditional scope of STEM learning, they are especially interesting to girls.

Middle and high school students take the activity one step further by translating the card-based icons into functional and interactive programs. Their technical and team working skills are extended through exploration scenarios and advanced mobile gaming paradigms, such as smart classrooms configured as Astronaut Robot Mission Simulators, which allow students to “re-visit” the Apollo 15 lunar landing site, as well as visit the Mars Rover mission landing sites that have not yet been visited by humans. Using low-cost off-the-shelf gaming technologies as well as immersive and online

Children engage in “hands-on: minds on” STEM learning and embodied play with Robotic pets in the LEGO sponsored Sprock-it project.

environments, these expeditions introduce and empower participants to engage with and advance new experiences that foster personal ownership of STEM skills, learning and creativity.

The Motivational Environments group is training teachers and museum educators with new skills to implement effective use of the innovative cyber learning technologies and methodologies. With collaborators at the University of Massachusetts Amherst and MIT, Dr. Burleson’s Intelligent Tutoring Systems have been used by thousands of students. All of this is made possible through close collaborations with the San Francisco Exploratorium, Smithsonian Institute’s National Zoological Park, American Geological Institute, ASU’s School of Earth and Space Exploration’s Deitz Museum and Mars Education Program, with support from iRobot, Motorola, and research grants from the National Science Foundation and NASA.

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Robotics Camp Offers Young Students a Gateway to Higher Education in Science and EngineeringASU’s Robotics Camp is a summer program series designed for middle school and high school students who intend to pursue a science and engineering career. The camps are sponsored by the U.S. Department of Education, Intel, and the School of Computing, Informatics and Decision Systems Engineering at Arizona State University.

The camp is part of the engineering school’s contribution to the national effort to interest more students in careers in science, engineering, technology and mathematics. “We are working in cooperation with the Department of Education’s goal to ensure the country produces the top scientists and engineers needed to keep the United States a leader in technological innovation and

technology development,” says Dr. Yinong Chen, a lecturer in the faculty of Computer Science and Engineering and leader of the Robotics Camp.

During the camp, Chen uses the intuitive Microsoft Visual Programming Language and Robotics Studio to engage students, while teaching the latest engineering design concepts and computing technologies. Students will also work with Lego Mindstorm NXT robots, using Lego building-block logic to demystify programming and robotics.

Chen explains, “We emphasize the logic rather than the syntax of the language. This program is more graphically oriented. Camp instructors use component-based robot construction, robotics programming, Web programming, and Alice game programming as a vehicle to teach the latest engineering design concepts and computing technologies. The robots built by students will enter a robotics competition and demonstration at the end of the camp.”

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ASU students create a device to help people with visual impairments succeed in the classroom

Computer Science student David Hayden turned frustration with his visual impairment into motivation, and the result has earned an Arizona State University student research team a top prize in a major international competition for technological innovation.

Hayden and team member Andrew Kelley recently returned from Warsaw, Poland, with a first-place trophy from the 2010 Imagine Cup Worldwide Finals organized by Microsoft, a global leader in computer software development and services. Overall, more than 325,000 students from more than 100 countries took part in stages of the competition leading to the finals.

Some 50 student teams from around the world entered a special category of the competition that challenged them to find creative ways to use Microsoft Windows-based Tablet PCs to improve access to education. Of those 50 teams, the ASU group was one of only two whose projects earned them invitations to Warsaw to compete at the Imagine Cup finals. Hayden’s and Kelley’s presentation and demonstration of the Note-Taker, a system designed to aid the visually impaired, deeply impressed the panel of judges, said ASU research scientist John Black. Black mentored the team, which developed the Note-Taker system in the Center for Cognitive Ubiquitous Computing – known as CUbiC in the School of Computing, Informatics, and Decision Systems Engineering.

The Note-Taker team, led by Hayden, includes computer science undergraduate Kelley, computer science doctoral student Mike Rush, industrial design graduate student Liqing Zhou, electrical engineering undergraduate Michael Astrauskas, and post-doctoral research associate Gaurav Padhan.

Hayden realized that his visual disability was jeopardizing his pursuit of a bachelor’s degree with a dual major in computer science and mathematics. None of the commercially available assistive technologies allowed Hayden to keep up with classroom note-taking in advanced mathematics coursework, during which instructors often filled more than a dozen whiteboards with theorems and proofs in a mere 45 minutes. Left with little recourse, Hayden began working on a solution.

The Note-Taker consists of a portable, custom-designed video camera and a Tablet PC. The camera is able to tilt up and down, and sweep side to side, as well as zoom in on its target. The Tablet PC provides a split-screen display. One half of the screen has a window that shows live video from the camera, while the other half has a window that is used for handwriting or typing notes.This dual-window interface allows students with visual impairment to quickly glance back and forth between the live view of the classroom whiteboard and their notes, just like their sighted peers. The video window also allows the user to aim and zoom the camera by simply dragging, tapping or pinching within the video window.

Hayden says that the Note-Taker overcomes the limitations of many assistive technologies which “force students with disabilities to rely on a special classroom infrastructure, or on people who aren’t always available when the student needs assistance.” The Note-Taker solves the problem by being portable, inexpensive, small enough to fit on a typical classroom desk, and easy to set up.

Hayden, who was recently awarded the National Science Foundation’s Graduate Research Fellowship, plans to pursue a Ph.D. in computer science. He says the experience with the Note-Taker has bolstered his commitment to achieving further advances in portable, wearable and prosthetic technologies that help people improve their capabilities in perception, cognition and mobility.

COMPUTER SCIENCE STUDENTS WIN TOP AWARD at MICROSOFT IMAGINE CUP WORLD FINALS

STUDENT EXCELLENCE

Note-Taker Team members David Hayden & Andrew Kelley accept their 1st Place Award at the Microsoft Imagine Cup award ceremony.

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STUDENT ONLINE SOFTWARE PROJECT WINS WEBBY AWARD

For their course project, a team of computer science students enrolled in Dr. Yinong Chen’s CSE 593 course developed an Android application for the Target Corporation. The team’s application, which allows mobile phone users to find anything in Target stores easily, has won a Webby Award for Target’s mobile site in the Mobile Marketplace and Services Category. Chosen by members of The International Academy of Digital Arts and Sciences, the Webby Award is the leading international award honoring excellence on the internet- including web sites, interactive advertising, online film and video.

OUTSTANDING STUDENT ACHIEVEMENTS

Professor Subbarao Kambhampati‘s former student Daniel Bryce (pictured on right), who received his Ph.D. from ASU CSE in 2007, received the 2009 Best Dissertation Award at the International Conference on Automated Planning and Scheduling (ICAPS) held in Thessaloniki, Greece. Bryce is now an Assistant Professor of Computer Science at Utah State University. Bryce’s dissertation is entitled “Scalable Planning Under Uncertainty.”

Raju Balakrishnan, a graduate student of Professor Subbarao Kambhampati was one of 20 students nationally to be selected to receive a Yahoo! KSC (Key Scientific Challenges) award. The award includes a $5,000 prize and invitation to attend a workshop on technical challenges for the Internet research community, designed to bring together innovative and emerging graduate students with Yahoo! scientists.

Balakrishnan also recently earned the best poster award for his work on SourceRank, at the 2010 World Wide Web conference. Raju received two certificates and a $500 cash award. A total of 70 posters were ranked at the conference.

Robert Trevino, a student of Asst. Professor Seungchan Kim, received a Fulbright Scholar award for 2009-10. Trevino, who is studying for his master’s in computer science, will conduct research on breast cancer at Lund University in Sweden, which has large hereditary breast cancer datasets. He hopes to advance the field by expanding on an innovative computational methodology for revealing signaling pathways in cancer cells.

Jenny Hastings, a sophomore in the computer science degree program, won first place in the 2009 Games 4 Girls Programming Competition with her game entitled “Pearly”. Entries in the computer-game programming competition were judged by a panel of 11 female high school students, who rated the games on levels of enjoyment. Fifty-eight college women on 19 teams participated in the event, with up to five members allowed per team. Hastings’ victory is unique because she competed solo. The competition took place at the ChicTech Technical Ambassadors Competition 2009 Retreat Weekend, April 18 -19, on campus of the University of Illinois at Urbana-Champaign. The event is part of an effort to help college women gain real-world, collaborative experience by creating original computer software for girl gamers. The award for the winning entry is $2000, plus a $500 donation to the School of Computing, Informatics, and Decision Systems Engineering, to support student diversity efforts.

Shaun Paredes and Nicholas Vaidyanathan have won Google Hispanic College Fund Scholarships. The scholarships provided by Google, the Internet search company, support students of Hispanic background studying computer science or computer engineering as a junior or senior undergraduate, or pursuing a master’s or doctoral degree in the fields. Paredes is pursuing an undergraduate degree in computer systems engineering, and Vaidyanathan is pursuing a Ph.D. in computer science. Each is receiving a $10,000 academic scholarship – half awarded now, the other half awarded if they have 3.5 or above grade point averages at the end of the fall semester.

Outstanding Engineering Graduate Award CS Distinguished Senior AwardLuz Osuna, 2010 Michael Bartholomew, 2010IE Distinguished Senior Award CSE Distinguished Senior AwardLuz Osuna, 2010 Duo Li, 2010

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ACADEMICPROGRAMS

Undergraduate DegreesThe Bachelor of Science in Engineering (B.S.E) in Computer Systems Engineering emphasizes the design and production of hardware and software components comprising a computer system. It includes courses on computer organization and architecture, system programming, operating systems, embedded micro systems and digital hardware design. Although the program addresses numerous application areas, a unique focus on embedded systems sets it apart. A concentration on Information Assurance is also available.

The Bachelor of Science (B.S.) in Computer Science provides a solid background in computing principles and enables students to customize their degrees with 21 hours of computer science and technical electives. More than 30 senior-level courses are offered within the program. Students may also select courses in mathematics, other engineering areas and biology to meet requirements.

This degree also offers a Software Engineering concentration consisting of courses in which students have an opportunity to master software development techniques while working in teams. A concentration in Information Assurance is available for this degree as well.

The Bachelor of Science in Engineering in Industrial engineering (B.S.E.) is ranked among the top 20 in the nation. The program concentrates on the design, operation and improvement of the systems required to meet societal needs for products and services. Students complete 33 hours of upper division industrial engineering courses, three semester hours of technical electives, and nine hours of career-focused study area electives. Undergraduates learn to apply systems modeling and analysis skills to ensure that high-quality products and services are achieved with the optimal use of resources.

0100200300400500600700800

Industrial Engineering

Computer Science

Computer Systems Engineering

FEMALE MALE NATIVE AMERICAN

AFRICANAMERICAN

799

Total Undergraduate EnrollmentsFall 2009-2010

HISPANIC

115

15 26

126

0

100

200

300

400

500


Computer Science

FEMALE MALE NATIVE AMERICAN

AFRICAN AMERICAN

113

413

1 8

Total Graduate EnrollmentsFall 2009-2010

HISPANIC

12

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Master’s DegreesThe Master of Science (M.S.) in Computer Science is a research-oriented degree targeted at students with an undergraduate education in the science of computation. It provides advanced course work and emphasizes student research as well as offering numerous opportunities for interdisciplinary study. Within this degree, a concentration in Arts, Media and Engineering (AME) is offered in collaboration with faculty in the Department of Electrical Engineering and the Herberger College of the Arts. M.S. students can also pursue concentrations in Information Assurance and Biomedical Informatics.

The Master of Computer Science (M.C.S.) is an advanced degree targeted at students with undergraduate education in computer-related disciplines who can benefit from further breadth and background. The M.C.S. also provides an opportunity for students employed in industry to seek advanced education in computer science. Students will complete a project portfolio. M.C.S. students can pursue a concentration in Information Assurance.

The graduate-level course work emphasizes research topics of current interest, such as embedded systems; information assurance and computer security; multimedia and the arts; database systems; algorithm design and analysis; bioinformatics; sensor and ad-hoc networks; data mining; information integration; optical networks; and computer aided-geometric design. The Consortium for Embedded Systems, a partnership of ASU, Intel and Freescale, supports work that applies academic research to industrial problems in embedded systems and networks.

The Master of Science in Industrial Engineering (M.S.) is designed for students interested in pursuing original research. The 30 credit hour program requires four core courses, three area courses, one elective and a 6-hour thesis with an oral defense. Students complete four core courses to expose them to fundamental IE topics, including a course in Information Systems, Simulation, Industrial Statistics and Operations Research.

The Master of Science in Engineering in Industrial Engineering (M.S.E.) is a 30-credit-hour program that requires four core courses, four area courses, two electives and a written comprehensive examination instead of a thesis.

0.0

37.5

75.0

112.5Industrial Engineering

Computer Science

Computer Systems Engineering

Bachelors Masters Doctoral

34

90

48

81

5

Total Degrees AwardedAY 2009-2010

18

58

Certificate ProgramsTechnology Entrepreneurship is a 15-credit-hour technology entrepreneurship certificate program limited to students in the Ira A. Fulton Schools of Engineering and is designed to help technically oriented students analyze, launch and operate an entrepreneurial venture. Courses are approached from the perspective of the student whose primary interest is in technological innovation, whose primary concentration is on engineering, and who has little or no prior business education.

Computer Gaming Certificate is an 18-credit hour certificate is open to any student at ASU (undergraduate, graduate and non-degree seeking) and is designed to provide a comprehensive game development skill set that the student can apply to his or her major. The goal is to apply gaming technology to domain-specific problems. The certificate can also be used as one of the areas of concentration for the Bachelor of Interdisciplinary Studies (B.I.S.) degree.

Informatics Certificate is defined as the study of the ways in which computer technology can be used to gather, synthesize, store, visualize and interpret information. This certificate is available to students in non computing majors and will provide them with an understanding of the capabilities and technologies of informatics. The certificate can also be used as one of the areas of concentration for the B.I.S. degree.

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The Doctor of Philosophy degree in Computer Science (Ph.D.) prepares students to undertake fundamental and applied research in computer science in academia, government and industry. Having matured as a discipline in its own right, computer science is now developing deep interactions with other fields, not just in engineering and science, but throughout the arts and humanities, education, law, medicine and business. While computers have become essential tools in these areas, the depth of interaction of fundamental computer science with each is rapidly evolving.

A wealth of experience for computer science doctoral students is available though collaborations with other engineering Schools in the Ira A. Fulton Schools of Engineering, the Herberger Institute for Design and the Arts, the Consortium for Embedded Systems, and the Translational Genomics Research Institute (TGen). The interdisciplinary strength of the Ph.D. degree is enhanced by a concentration in Arts, Media and Engineering (AME), as well as a concentration in Information Assurance.

The Doctor of Philosophy in Industrial Engineering (Ph.D.) offers students a program focused on industrial statistics and quality engineering, applied operations research, production and supply-chain logistics and enterprise information systems in challenging manufacturing and service environments. The industrial engineering program is ranked in the top 20 nationally by U.S. News & World Report and is among the top programs in the western U.S. Our faculty are internationally recognized for their research, conducting many funded, state-of-the-art research projects for both government and industry. They are not only involved in leading-edge research from both methodological and applications perspectives, but they also actively advise students, are excellent teachers and continuously improve the curriculum.

DOCTORAL DEGREES SPRING 2009 - SPRING 2010

Nitin Agarwal, “Social Computing in the Blogosphere,” H. Liu, Chair. Placement: U of Arkansas, L.Rock

Wei Chen, “Applications Using Sibson’s Interpolant,” G. Farin, D. Hansford, Co-Chairs. Placement: Scottsdale Medical Imaging Comapny (SMI)

Ozgur Araz, “Modeling & Simulation for Pandemic Influenza & Bioterrorism Preparedness,” J. Fowler, T. Lant, Co-Chairs. Placement: U. of Texas, Austin

Ming Cui, “Methods for Hyperspectral Image Visualization & Analysis,” P. Wonka, Chair. Placement: Google

Andrew Feller, “E-Business Transaction Infrastructure Analysis Using Petri-Nets & Simulation,” D. Shunk, T. Wu, Co-Chairs. Placement: American Express

Syed Ahmed, “Information Extraction to Enable Faceted Search Over Large Text Document Collections,” H. Davulcu, Chair. Placement: VanderbiltUniversity Medical Center

Stina Anderson, “Supervised Modeling, Feature Extraction, & Monitoring for Multiple, High-Dimensional Profiles,” G. Runger, Chair. Placement:Norvo Nordisk

Min Hyeok Bae, “Automated Segmentation Methods For Mouse Brain Images,” R. Pan, T.Wu, Co-Chairs. Placement: Samsung

James Broyles, “Markovian Models of Patient Throughput in Hospitals: A Regression and Decision Process Approach,” D. Cochran, D. Montgomery, Co-Chairs. Placement: RAND Corp.

Guofeng Deng, “Receiver-Cost Cognizant Maximal Lifetime Routing in Embedded Networks: Model and Solutions,” S. Gupta, Chair. Placement: Harbin Institue of Technolgy

Toni Farley, “Network Reliability and Resilence,” C. Colbourn, Chair. Placement: Arizona State University

John Femiani, “Document Triage Using Handwriting and Machine Print Segmentation,” A. Razdan, Chair.Placement: Arizona State University

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Gary Mayer, “Composing Hybrid Discrete Event System & Cellular Automata Models,” H. Sarjoughian, Chair. Placement: Southern Illinois University

Satyajayant Misra, “SAS: Security,Anonymity, and Survivability in wireless Sensor & Ad Hock Neworks,” G. Xue, Chair. Placement: New Mexico State University

Sai T. Moturu, “Quantifying the Trustworthiness of User-Generated Social Media Content,” H. Liu, Chair. Placement: Media Lab, MIT

Luis Ng Tari, “A Framework for the Intergration of Information Retrieval & Parse Tree Database with Applications in the Genomics Domain,” C. Baral, Chair. Placement: Hoffman - La Roche

Stjepan, Rajko, “Probablistic Graphical Models for Pattern Recognition & Optical Motion Capture Tracking,” H. Sundaram & G. Qian, Co-Chairs.

Pavel Gosh, “Mapping & Islanding Problems in Small Scale On-Chip Networks & Large Scale Power Grid Networks,” A. Sen, Chair. Placement: SCIDSE

Eric Monroe, “Optimal Experimental Designs For Accelerated Life Tests With Censoring And Constraints,” D. Montgomery, R. Pan, Co-Chairs. Placement: Intel

Amir Khwaja, “REALSPEC: An Executable Real-Time Specification Language,” J. Collofello, J. Urban, Co-Chairs. Placement: Intel Corp

Joong Wook Kim, “Segment, Enrich, Annotate, & Link (SEAL) Paradigm for Context-Aware Access to Complex & Structured Data,” K. Candan, Chair. Placement: Technicolor Research Labs

Wenfeng Li, “Free Viewpoint Video with Image-Based Rendering,” B. Li, Chair. Placement: Google

Nuttha Lurponglukana, “Conditional Forests & Other Ensembles for Discrete Data w/ Application to Health Effects of Air Pollution,” G. Runger, Chair. Placement: Data Analysis

Kristis Makris, “Whole Program Dynamic Software Updating,” R. Bazzi, Chair. Placement: LoomCM

Tridib Mukherjee, “Energy-Efficient Proactive Techniques for Safe & Survivable Cyber-Physical Systems,” S. Gupta, Chair. Placement: SCIDSE

Yan Qui, “System Support for Conflict Resolution in Integrating Metadata,” K. S. Candan, Chair. Placement: Teradata

Krishna Venkatasubramanian, “Security Solutions for Cyber-Physical Systems” S. Gupta, Chair. Placement: U of Pennsylvania

Sudheendra Murthy, “Efficient Resource Allocation Techniques for Improved Capacity in Optical and Wireless Networks,” A. Sen, Chair. Placement: ASU

Zheng Zhao, “Special Feature Selection for Mining Ultrahigh Dimensional Data,” H. Liu, J. Ye, Co-Chairs. Placement: SAS

Pushpak Karnick, “Methods for Visualization & Analysis of Geo-Spatial Data,” P. Wonka, A. Razdan, Co-Chairs. Placement: DigiPen Inst of Technology

Melih Onus, “Overlay Network Construction in Highly Decentralized Networks,” A. Richa, Chair. Placement: TOBB ETU, Turkey

Gerardo Trevino Garza, “A Heuristic Approach For General 0-1 Integer Programming Problems” A. Keha, Chair. Placement: Monterrey Tech, Mexico

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DIRECTORY

Computer Science AND Engineering


Emeritus Faculty

Staff

41

Rida Bazzi, Associate ProfessorPh.D. Computer Science, Georgia Institute of Technology, 1994Email: [email protected] Research Interests: Computer security, reliability, fault tolerance, distributed computingHonors & Awards: NSF CAREER award 2000Key Activities: Co-chair HotSwup 2011, General chair PODC 2008, Steering committee PODC 2008, 2007, Committee member ICDCN 2011, SSS 2010, ICDCS 2008, PODC 2010, 2009, 2005, 2000, DISC 2001

COMPUTER SCIENCE AND ENGINEERINGGail-Joon Ahn, Associate Professor Ph.D. Information Technology, George Mason University, 2000Email: [email protected] Research interests: Vulnerability and risk management, authentication and access control, security architecture for distributed systems, identity management, policy analysis and enforcement, formal models for computer security, and cyber crime analysisHonors & Awards: DoE CAREER award (2003), Educator of the Year award (Federal Information Systems Security Educators’ Association, 2005)Key Activities: Tutorial Chair for ACM CCS ‘10; Guest Ed. ACM Trans. on Info & Systems Security (TISSEC, 2007) Information Dir. ACM SIGSAC; Steering Comm. Chair, ACM SACMAT; PC Co-chair for WWW ’09 Security and Privacy Track

Ashish Amresh, Lecturer M.S. Computer Science, Arizona State University, 2007 Email: [email protected] Research Interests: Computer aided geometric design (CAGD), real-time rendering, visualization and video game programming

Janaka Balsooriya, LecturerPh.D. Computer Science, Georgia State University, 2006Email: [email protected] website: http://www.public.asu.edu/~jbalasoo/Research Interests: Distributed, internet and grid computing, web service coordination primitives and system architectures, biological data integration and interoperability, middleware and embedded software

Chitta Baral, ProfessorPh.D. Computer Science, University of Maryland, 1991Email: [email protected] website: http://www.public.asu.edu/~cbaral/Research Interests: Knowledge representation, temporal logics, logic programming, dynamic systems, text extraction, question answering, natural language semantics, bioinformaticsHonors & Awards: NSF Career Award 1995Key Activities: Associate Editor of Journal of AI Research, Area Editor of ACM Transactions on Computational Logic, Editorial Board Member of Journal of Theory and Practice of Logic Programming

Kevin Burger, Lecturer M.S. Computer Science, University of Kansas, 1988Email: [email protected] website: http://www.public.asu.edu/~kburger2Research Interests: Embedded systems, introductory programming, data structures and algorithms, computer architecture and organization, web development

Winslow Burleson, Assistant ProfessorPh.D. Media Arts and Sciences, MIT, 2006Email: [email protected] Research Interests: Human-computer interaction applied to creativity and innova-tion, design engineering, scientific exploration, gaming and educational technology.Honors & Awards: AI in Education 2009 Overall Best Paper Award,AI in Education 2009 Overall Best Demo Award, NSF Affective Learning Compan-ions (2007), NSF Game As Life - Life As Game (2007), JPL SURP (2007),Key Activities: 2005-2007 Invited participant and member of the program committee for the NAS US-Chinese Frontiers of Science Symposium

Debra Calliss, LecturerPh.D. Computer Science, Arizona State University, 1991Email: [email protected] Research Interests: Computer science in education, programming languages, software maintenance

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COMPUTER SCIENCE AND ENGINEERING

Karamvir Chatha, Associate ProfessorPh.D. Computer Science & Engineering, University of Cincinnati, 2001E-mail: [email protected] Website: http://www.eas.asu.edu/~kchatha/Research Interests: Computer-aided design (CAD) for embedded and VLSI systems, system-on-chip (SoC) design, network-on-chip design, hardware software co-design, reconfigurable and adaptive computingHonors & Awards: NSF CAREER Award 2006; IEEE/ACM William J. McCalla Best Paper Award, International Conference on Computer-Aided Design (ICCAD), 2007Key Activities: Finance Chair, IEEE/ACM Symposium on Networks-on-Chip (NOCS) 2009, 2007; Member of Technical Program Committee of DAC (2008, 2007), ASPDAC (2009, 2008), CODES+ISSS (2008, 2007, 2006), NOCS (2009)

Yi Chen, Assistant ProfessorPh.D. Computer Science, University of Pennsylvania, 2005Email: [email protected] Website: http://www.public.asu.edu/~ychen127Research Interests: Data management in web and scientific applications, data modeling, storage and query optimization, data streams, information integrationHonors & Awards: NSF Career Award, 2009,Key Activities: Publicity and Proceedings Chair for PODS 2009, Program Committee member for ICDE 2009, APWeb-WAIM 2009, AAAI 2008, CIKM 2008, VLDB 2008

Yinong Chen, Lecturer Ph.D. Computer Science, University of Karlsruhe, Germany, 1993Email: [email protected] Website: http://www.public.asu.edu/~ychen10Research Interests: Service-oriented computing, embedded systems, fault-tolerant computing, distributed computingHonors & Awards: Teacher of the Year Award, (SCI), 2007-2008, 2008-2009.Key Activities: Summer Robotics Camp 2008, 2009,2010

K. Selcuk Candan, ProfessorPh.D. University of Maryland 1997Email: [email protected] Website: http://www.public.asu.edu/~candan/Research Interests: Database systems, storage/querying/retrieval of multimedia and web data, heterogeneous information integration and retrieval, assistive technologies for information and data access, data clouds, ambient media systemsKey Activities: Associate Editor, VLDB, Associate Editor, Journal of Multimedia, Publicity Chair-ACM SIGMOD 2006, PC Co-chair- ACM Multimedia 2008, Program Group Leader, ACM SIGMOD Conference 2010, Review Board member, the Proceedings of the VLDB Endowment (Journal track) 2008 - 2010, Program Co-Chair, Workshop on Information and Software as a Service (WISS) 2009 - 2010, PC Co-chair-ACM Int. Conference on Image & Video Retrieval (CIVR) 2010

Charles Colbourn, ProfessorPh.D. Computer Science, University of Toronto, 1980Email: [email protected] website: http://www.public.asu.edu/~ccolbouResearch Interests: Combinatorial design theory and its applications in communications and networkingHonors & Awards: The Euler Medal for Lifetime Achievement in Research (2003). Keynote/invited speaker at numerous conferences internationally; Key Activities: Editor-in-chief of the Journal of Combinatorial Designs, Editorial boards of Designs Codes and Cryptography; Journal of Combinatorial Theory Series A; Discrete Mathematics

James Collofello, Associate DeanPh.D. Computer Science, Northwestern University, 1978Email: [email protected] Research Interests: Software engineering, software project management, software quality assurance

Partha Dasgupta, Associate ProfessorPh.D. Computer Science, SUNY Stony Brook, 1984Email: [email protected] Website: http://cactus.eas.asu.edu/Partha/Research Interests: Computer security, operating systems, distributed and parallel systemsHonors & Awards: Best Paper Awards PDCS ‘05, ICDCS’95Key Activities: Program Vice Chair, ICDCS’03, CNIS’07

Hasan Davulcu, Associate ProfessorPh.D. Computer Science, SUNY Stony Brook, 2002Email: [email protected] Website: http://cactus.eas.asu.du/~hdavulcuResearch Interests: Data mining, web and text mining, data cleaning and information extraction, workflows and semantic web services, database systemsHonors & Awards: NSF Career Award, 2007Key Activities: PC member, National Conference on Artificial Intelligence (AAAI 2007), PC Member, International Conference on Data Engineering (ICDE 2007) Co-chair, Workshop on Information Integration on the Web; PC member, National Conference on Artificial Intelligence (AAAI 2004)

43


Toni Farley, LecturerPh.D. Computer Science, Arizona State University, 2009Email: [email protected] Website: http://www.public.asu.edu/~tfarleyResearch Interests: Graphs, networks, algorithms, network security, computer science theory, discrete math

Georgios Fainekos, Assistant ProfessorPh.D. Computer Science, University of Pennsylvania, 2008Email: [email protected] Website: http://www.public.asu.edu/~gfainekoResearch Interests: Cyber-Physical Systems: Hybrid Dynamical Systems, Real Time and Embedded Systems; Formal Methods w/ applications to Automation & Control: System Testing and Verification, Formal languages and Logic; Motion Planning in Robotics; Unmanned Aerial Vehicles (UAV)Honors & Awards: 2008 Frank Anger Memorial ACM SIGBED/SIGSOFT Student Award; Finalist for Best Student Paper at 2007 International Conference on Robotics and AutomationKey Activities: Guest Editor of ACM Transactions on Embedded Computing Systems Special issue: Numerical Software Verification of Cyber-Physical Software Systems;

Gerald Farin, Professor and Graduate Program Chair Ph.D. Mathematics, University of Braunschweig, 1980Email: [email protected] Website: http://www.farinhansford.com/geraldResearch Interests: 3D modeling, curver and surface design, scientific visualization.Honors & Awards: Dagstuhl Award for achievements in geometric modelingKey Activities: Co-director, PRISM, 2004-present, Internal Scientific Advisory Board, Arizona Alzheimer Research Center, 1996-present, Computer Systems Engineering Outstanding Teaching Award, 1999 Editor-in-chief, Computer-Aided Geometric Design (Elsevier), Editorial board, The Visual Computer (Springer)

Xeurong Feng, LecturerPh.D. Computer Science, University of Texas (Dallas), 2005Email: [email protected] Website: http://www.public.asu.edu/~xfeng13Research Interests: Algorithm design and analysis, including network algorithms, Bioinformatics algorithms and parallel algorithms

Sandeep Gupta, ProfessorPh.D. Computer Science, Ohio State University, 1995Email: [email protected] Website: http://impact.asu.eduResearch Interests: Wireless networks, Mobile and ubiquitous/pervasive computing, Embedded sensor networks for biomedical applications, Parallel and Distributed computingHonors and Awards: Best Paper Award in 4th Int’l Conf. on Intelligent Sensing and Information Processing, 2006, Best Researcher Award, Senior Faculty, (SCIDSE) 2009Key Activities: TPC chair for Third Int’l Conf. on Body Area Networks (BodyNets 2008,) Editorial Board Member of IEEE Communication Letters, TPC Co-chair of GreenCom 2007

Dijiang Huang, Assistant ProfessorPh.D. Computer Science, University of Missouri, 2004Email: [email protected] Website: http://dj.eas.asu.edu/dhuang/index.htmlResearch Interests: Network security, privacy prevention techniques, key management, secure ad hoc network routing, trust management for VANETsHonors and Awards: ONR Young Investigator Award 2010Key Activities: PC Co-chair for Information Security Symposium (ICC) 2010, Publication Chair for HPSR 2008, Finance Chair for ISADS 2007, FTDCS, 2007,2008

Subbarao Kambhampati, ProfessorPh.D. Computer Science, University of Maryland 1989Email: [email protected] Website: http://rakaposhi.eas.asu.edu/rao.htmlResearch Interests: Artificial intelligence, Automated planning, Machine learning, Data and information integrationHonors and Awards: NSF Research Initiation (1992), NSF Young Investigator (1994); College of Engineering Teaching Excellence award (2002), Fellow of AAAI (Association of Advancement of Artificial Intelligence) (2004), IBM Faculty Award (2004), Google Research Award (2008)Key Activities: Program Co-chair, AAAI 2005; Advisory board member, Journal of AI Research; Executive Council of Intl. Conf. on Automated Planning & Scheduling

Seungchan Kim, Assistant ProfessorPh.D. Electrical Engineering, Texas A&M University, 2001Email: [email protected] Website: http://sysbio.fulton.asu.eduResearch Interests: Computational systems biology, Bioinformatics, Genomic signal processing, Modeling genetic regulatory networks, Identification of genetic or molecular markers for cancer classification, Statistical machine learningHonors and Awards: Best Paper Award, International Conference on Bioinformatics & Biomedicine, 2009, AACR-AstraZeneca Scholarship-in-Training Award, 2002Key Activities: Associate Editor of EURASIP Journal of Bioinformatics and Systems Biology, Guest Editor of Current Genomics Special Issue on Genomic Signal Processing, Program Committee of GENSIPS (2001-2008)

44

Goran Konjevod, Assistant ProfessorPh.D. Algorithms Combinatorics and Optimization, Carnegie Mellon Univ, 2000Email: [email protected] Website: http://thrackle.eas.asu.edu/users/goranResearch Interests: Approximation algorithms, finite metric spaces, distributed algorithms, polyhedral combinatorics, Computer Aided Design, Ramsey theoryHonors and Awards: First place, Exhibition of Mathematical Art, American Mathematical Society, 2009

Patrick Langley, ProfessorPh.D. Cognitive Psychology, Carnegie Mellon University, 1980Email: [email protected] Research Interests: Cognitive architectures for intelligent agents, Computational scientific discovery, Interactive assistants for complex cognition, Computational models of human behavior, Computational biology and ecologyHonors and Awards: Fellow of AAAI, Fellow of the Cognitive Science SocietyKey Activities: Founding Executive Editor of Machine Learning, FoundingBoard Member, International Machine Learning Society, Program, Co-chair of Integrated Intelligence track for AAAI-07 and AAAI-08, Editorial board member of Machine Learning, Editorial board member of Data Mining & Knowledge Discovery

Joohyung Lee, Assistant ProfessorPh.D. Computer Science, University of Texas at Austin, 2005Email: [email protected] website: http://peace.eas.asu.edu/jooleeResearch Interests: Knowledge representation and reasoning, computational logic, logic programming, logics in security, computational semantics of natural languageHonors and Awards: AAAI 2004 Outstanding Paper Honorable Mention AwardKey Activities: Co-chair of ASPOCP 2008, 2009. PC Member: AAAI 2010, KR 2010, JELIA 2010, NMR 2010, Nonmon@30, IJCAI 2009, LPNMR 2009, Commonsense 2009, AAAI 2008, NMR 2008.

Yann-Hang Lee, Professor and CSE Undergraduate Program ChairPh.D. Computer, Information and Control Engineering, Univ of Michigan, 1985Email: [email protected] website: http://rts-lab.eas.asu.eduResearch Interests: Real-time computing, embedded system and software, Fault-tolerant computing, distributed computing, and service-oriented computingHonors and Awards: Best Paper Award ISEQED 2008, Outstanding Paper AwardMIXDES 2001Key Activities: Keynote - SNPD(07) and CAINE(06), Co-Chair –ICESS(07), Advisory and Publicity Committee – ISORC(06), Steering Committee – SEUS(06), PC – WESE(06, 07, 08), SCC(06), IWEC(06), ESO(06), IWSSPS(06), SOCA(07), ICOIN(07), SEC(07), SAC(06)

Baoxin Li, Associate Professor (effective 8/10)Ph.D. Electrical Engineering, University of Maryland, 2000Email: [email protected] Research Interests: Computer vision &pattern recognition, image/video processing, statistical methods in visual computingHonors and Awards: NSF Career Award, 2009Key Activities: PC Member: CVPR 2008, ACM-MM 2008 (Content Track), ISS 2009, ICME 2007. TPC Chair: VPQM 2006 and 2007. Organizing Committee & Finance Chair: CIVR 2006, ICIP 2008. Editorial Board & Area Editor, Signal Processing: Image Communications

Huan Liu, ProfessorPh.D. Computer Science, Univ of Southern California, 1989Email: [email protected] Website: http://www.public.asu.edu/~huanliuResearch Interests: Social computing, data/web mining, machine learning, feature selection, text classificationHonors and Awards: Most Influential Paper Award, PAKDD, 2010Key Activities: PC co-chair for SIAM Data Mining 2009, Conference, Co-chair for PAKDD 2008, founding co-organizer of workshop series of Social Computing (SBP’08 and SBP’09), Editorial Board and Advisory Board member for handbook and journals

Donald Miller, Associate ProfessorPh.D. Electrical Engineering, Univ of Southern California, 1972Email: [email protected] Research Interests: Operating Systems, Computer Architecture, Computer Networks, Virtual Machine Implementation, Embedded Operating System and Network Software. Single Address Space Operating Systems

Mutsumi Nakamura, Senior LecturerPh.D. Computer Science/Math Sciences, Univ of Texas, 2001Email: [email protected] Website: http://www.public.asu.edu/~mutsumiResearch Interests: Active database systems, Web-based database systemsHonors and Awards: Best Teacher, Ira A. Fulton Schools of Engineering, 2009, Best CSE Teacher, (SCIDSE) 2009


45


Gregory Nielson, ProfessorPh.D. Mathematics, University of Utah, 1970Email: [email protected] Research Interests: Scientific Visualization, Geometric ModelingHonors and Awards: IEEE Meritorious Award, Dagstuhl (John Gregory Memorial)Research Award, ASU Mentor of Year Award, IEEE Golden Core Member, IEEE Outstanding Contribution AwardKey Activities: Director, IEEE Technical Committee on Computer Graphics and Visualization, Editorial Board, Computer-Aided Geometric Design, Editorial Advisory Board & Founding Editor, Trans. on Visualization and Computer Graphics

Sethuraman Panchanathan, ProfessorPh.D. Electrical Engineering, University of Ottawa, 1989Email: [email protected] Website: http://asuresearch.asu.eduResearch Interests: Multimedia computing, Face/Gait recognition, Genomic signal processing, Haptic interfacesHonors and Awards: Fellow of IEEE, Fellow of SPIE, Best poster paper awards:Medicine Meets Virtual Reality Conference (2006, 2007, 2008), Governor’s Innovator of the Year in Academia Award (2004)Key Activities: Editor-in-chief, IEEE Multimedia; Conference Chair, Third International Conference on Body Area Networks (BodyNets 2008); Associated Editor, Journal of Visual Communication & Image Representation

Andrea Richa, Associate ProfessorPh.D. Computer Science, Carnegie Mellon University, 1998Email: [email protected] Website: http://www.public.asu.edu/~arichaResearch Interests: Algorithms for distributed wireless and mobile networks, Graph algorithms, Randomized algorithms, Approximation algorithms, Combinatorial optimization, Distributed resource allocationHonors and Awards: NSF CAREER Award 2000Key Activities: Plenary Speaker, AdHocNow’07. Publicity Chair, ACM SPAA’08; Guest Editor, ACM Baltzer Journal on Mobile Networks and Applications (MONET), Special Issue on Foundations of Mobile computing, 2004, PC Member, ACM-SIAM SODA, 2008. ACM DIALM-POMC, 2007, 2008

Farideh Tadayon-Navabi, Senior LecturerM.S. Computer Science, University of Louisiana at Lafayette, 1991Email: [email protected] Website: http://www.public.asu.edu/~navabiResearch Interests: Computer science education, Programming languages

Hessam Sarjoughian, Associate ProfessorPh.D. Electrical and Computer Engineering, University of Arizona, 1995Email: [email protected] Website: http://www.eas.asu.edu/~hsarjouResearch Interests: Agent-based modeling, multiformalism modeling, simulation-based design, software architectureKey Activities: Area Editor for SIMULATION: Transactions of The Society for Modeling and Simulation (2004-)

Arunabha Sen, Professor (effective 5/10)Ph.D. Computer Science, University of South Carolina, 1987Email: [email protected] Website: http://www.public.asu.edu/~hallaResearch Interests: Resource optimization in optical, Wireless and sensor networks, Video transmission over mobile ad-hoc networks, Network processors, System/Network on chip design, Combinatorial optimization, Algorithm design and analysisKey Activities: Associate Editor, IEEE Transactions on Mobile Computing,Program Committees of IEEE Infocom, Globecom, ICC, ACM Foundations on Mobile Computing

Jeremy Rowe, Academic ProfessionalEd.D. Educational Policy & Admin/Higher Ed, Arizona State University, 1997Email: [email protected] Research Interests: Informatics and Digital Libraries incorporating 3-D data, 3-D handwriting, Enterprise distributed authentication and authorization, Water policy planning, 3-D digital libraries

Aviral Shrivastava, Assistant Professor Ph.D. Computer Science, University of California, Irvine, 2006Email: aviral.shrivastava@asu website: http://www.public.asu.edu/~ashriva6Research Interests: Compilers and micro architectures for embedded systems, including techniques for power, performance reliability, temperature and code sizeimprovementHonors and Awards: Best Paper Candidate at ASPDAC 2008Key Activities: Program Committee Member of CASES 2007, 2008, LCTES2008, RTCSA 2007, 2008, DSD 2007, 2008, Referee of Journals,TCAD, TVLSI, TECS, TODAES

46

COMPUTER SCIENCE AND ENGINEERINGSarma Vrudhula, Professor Ph.D. Electrical and Computer Engineering University of Southern California 1985Email: [email protected] Website: http://veda.eas.asu.eduResearch interests: CAD for VLSI Circuits, Logic synthesis and verification, Low power design, Power,Energy and thermal management in processors performance, Power and yield optimization of VLSI circuits, Novel logic structures and applications to BiologyHonors & Awards: Best Researcher, Senior Faculty (SCIDSE) 2009Key Activities: Director, Consortium for Embedded Systems

Wei-Tek Tsai, ProfessorPh.D. Computer Science, University of California, Berkeley, 1985Email: [email protected] Research Interests: Software engineering, Internet, Parallel & distributed processingHonors and Awards: Best Paper Award, Int’l Conf. on System Sciences, 1988, IEEE Meritorious Service Award 1992Key Activities: Associate Editor, IEEE Trans. on Knowledge and Data Engineering, 2002- 06, Service-Oriented Computing and Applications, 2006-present, Program co-chair, ISADS 2007 and IEEE Int’l Conf. on E-Commerce Technology and Enterprise Computing, ECommerce and E-Services, 2008

Kurt Van Lehn, ProfessorPh.D. Computer Science, MIT, 1983Email: [email protected] Website: http://www.public.asu/~kvanlehnResearch Interests: Applications of AI to Education (Intelligent Tutoring Systems; Teachable agents; Tutorial NL dialogue systems); Human Learning (StudentModeling; Cognitive Modeling); Cognitive ScienceHonors and Awards: Fellow of the Cognitive Science Society, Fellow of the Centerfor Advanced Study in the Behavioral Sciences, 9 best paper awards Key Activities: Former senior editor, Cognitive Science, Editorial boards of AI in Education, Cognition and Instruction, Machine Learning, Journal of the Leanring Sciences; Senior PC member for ITS, AI&Ed, Cognitive Science Conference

Peter Wonka, Associate Professor (effective 8/10)Ph.D. Computer Science, Vienna University of Technology, 2001Email: [email protected] Website: http://www.public.asu.edu/~pwonkaResearch Interests: Computer Graphics, Visualization, Information Visualization, Procedural Modeling, Visibility, Real-time Rendering, Urban EnvironmentsHonors and Awards: NSF CAREER award 2006, Günther Enderle Award for thebest paper at Eurographics 2001

Guoliang Xue, ProfessorPh.D. Computer Science, University of Minnesota, 1991Email: [email protected] Website: http://optimization.asu.edu/~xueResearch Interests: Network science; QoS provisioning; Cross-layer design of wireless networks; Privacy, anonymity and survivabilityHonors and Awards: Paper Award, IEEE Globecom’2007; Distinguished Invited Speaker at IEEE ICCCN’2008Key Activities: TPC co-Chair of IEEE INFOCOM’2010; TPC co-Chair of IEEE ICC’2009 Symposium on Adhoc and Sensor Networks; Associate Editor of IEEE Transactions on Wireless Communications; Associate Editor of IEEE Network Magazine; Area Editor of Computer Networks

Sik-Sang (Stephen) Yau, Professor Ph.D. Electrical Engineering, University of Illinois, 1961Email: [email protected] Website: http://dpse.asu.edu/yauResearch Interests: Trust management and security, software engineering, distributed systems, service based systems, ubiquitous/pervasive computingHonors and Awards: Information Resource Center (IRC) awarded recognition as National Center of Academic Excellence, NSA; Overseas Outstanding Contributions Award of the Chinese Computer Federation (2006), Tsutomu Kanai Award of IEEE Computer Society (2002), Fellows of IEEE and AAAS Key Activities: Keynote speaker, 2008 IEEE Intl Conf. on Services Computing; Editorial Board member of IEEE Trans. on Service Computing

Violet Syrotiuk, Associate ProfessorPh.D. Computer Science, University of Waterloo (Canada,) 1992Email: [email protected] Website: http://www.public.asu.edu/~syrotiukResearch Interests: Cross-layer design and optimization in changing network conditions, modelling and monitoring, medium access control protocols, multi-hop wireless networks including MANETs, WSNs, WMNs, and cognitive radio networksKey Activities: Associate Editor, Computer Networks. Associate Editor, International Journal of Communication Systems, TPC Co-chair ACM MSWiM’08 (11th ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems)

Hari Sundaram, Associate ProfessorPh.D. Electrical Engineering, Columbia University, 2002Email: [email protected] Website: http://www.public.asu.edu/~hsundaraResearch Interests: Multimedia, Computational models for experiential systemsHonors and Awards: IBM Faculty Award (2007, 2008), IBM UIMA InnovationsAward (2006), Best Student Paper Award (Joint Conf. on Digital Libraries 2007), Best Paper Finalist (ACM Multimedia 2007)Key Activities: Associate Editor: ACM Trans. on Computing, Communications and Applications, IEEE Signal Processing Magazine, ACM SIG Multimedia web editorial board (2004-07). Guest Editor: Special Issue on Communities and Media Computing, IEEE Trans. on Multimedia

47

COMPUTER SCIENCE AND ENGINEERINGJieping Ye, Associate Professor (effective 5/10)Ph.D. Computer Science, University of Minnesota, 1997Email: [email protected] Website: http://www.public.asu.edu/~jye02Research Interests: Machine Learning, Data Mining, BioinformaticsHonors and Awards: NSF Career Award, 2009, Best Researcher Award, Junior Faculty, (SCIDSE) 2009Key Activities: Program Committee member of KDD-08, ICML-08, CVPR-08, ECCV-08, ICDM-08, SDM-08

Amiya Bhattacharya, Assistant Research ProfessorSchool of Computing, Informatics, & Decision Systems Engineering

John Black, Faculty AssociateSchool of Computing, Informatics, & Decision Systems Engineering

Ellen Campana, Assistant ProfessorSchool of Arts, Media, and Engineering

Nancy Cooke, ProfessorBiomedical Informatics

Suzanne Dietrich, Associate ProfessorDivision of Mathematical and Natural Sciences

Gary Kevin, Assistant ProfessorCollege of Technology & Innovation

Marcus Janssen, Associate ProfessorSchool of Human Evolution & Social Change

Sudhir Kumar, Director and ProfessorEvolutionary Medicine and Informatics (EMI)

Zoe Lacroix, Associate Research ProfessorSchool of Electrical, Computer, & Energy Engineering

CSE Research and Affiliated Graduate Faculty Jianming Liang, Associate ProfessorBiomedical Informatics, Arizona State University

Deirdre Meldrum Dean & ProfessorSchool of Electrical, Computer, & Energy Engineering

Hans Mittelman, ProfessorSchool of Mathematical & Statistical Sciences

Anshuman Razdan, Affiliate FacultyCollege of Technology & Innovation

Martin Reisslein, Associate ProfessorDepartment of Electrical Engineering

Rosemary Renaut, ProfessorSchool of Math and Statistical Sciences

Maria Sapino, Associate ProfessorUniversity of Torino, Italy

Srikanth Saripalli, Assistant ProfessorSchool of Earth & Space Exploration

Feng Wang, Assistant ProfessorMathematical & Natural Sciences

Guoliang Zeng, Associate ProfessorCollege of Technology & Innovation

48

INDUSTRIAL ENGINEERINGEsma Gel, Associate Professor Ph.D. Industrial Engineering, Northwestern University, 1999Email: [email protected] Research interests: Applied probability, stochastic processes, queuing theory, stochastic modeling and control of manufacturing systemsKey Activities: Associate Editor, Journal of Flexible Services and Manufacturing

Linda Chattin, Senior LecturerPh.D. Industrial Engineering, University of New York, 1994Email: [email protected] Research Interests: Discrete Optimization, stochastic processes and probabilistic modeling, emergency service locationHonors and Awards: A. Alan B. Pritsker Outstanding IE Teacher Award, 2009

John Fowler, Avnet Professor and IE Undergraduate ChairPh.D. Industrial Engineering, Texas A&M University, 1990Email: [email protected] Website: http://ie.fulton.asu.edu/research/masm-labResearch Interests: Deterministic scheduling, discrete event simulation methodology, semiconductor manufacturing systems analysis, healthcare systems analysis, applied operations research.Honors and Awards: Avnet Professorship, 2009Key Activities: Editor in Chief, IIE Transactions on Healthcare Systems Engineering, Area Editor, SCS Transactions on Simulation; Area Editor, Computers and Industrial Engineering; Associate Editor, IEEE Transactions and Electronics Packaging Manufacturing; Associate Editor, Factory Modeling and Control, IEEE Transactaions on Semiconductor Manufacturing

Jing Li, Assistant Professor Ph.D. Industrial & Operations Engineering, University of Michigan, 2006Email: [email protected] Website: http://www.public.asu.edu/~jli09/Research Interests: Applied Statistics, process control, data mining, causal modeling and inferenceHonors and Awards: Best Paper Award in Quality & Reliability, 2008Key Activities: Member-Institute for Operations Research and the Management Sciences (INFORMS); Member- Institute of Industrial Engineers (IIE)

Pitu Mirchandani, ProfessorSc.D. Operations Research, MIT, 1975 Email: [email protected] Research Interests: Optimization, decision-making under uncertainty, real-time control and logistics, application interests in urban service systems, transportation, and homeland securityHonors & Awards: Recipient of “2007 Member of the Year” by the ITS Arizona Society for contributions to ITS in the State of Arizona. Research Interests: Optimization, decision-making under uncertainty, real-time control and logistics, application interests in urban service systems, transportation, and homeland security

Ronald Askin, Director and ProfessorPh.D. Systems & Industrial Engineering, Georgia Institute of Technology, 1979Email: [email protected] Research Interests: Logistics; Manufacturing Systems Analysis; Production Planning and Scheduling; Operations Research; Applied StatisticsHonors & Awards: IIE Transactions on Design and Manufacturing Best Paper Award (1998, 2000), IIE Joint Publishers Book-of-the-Year Award (1994, 2003)Shingo Prize for Excellence in Manufacturing Research (1994) Eugene L. Grant Award (1986); NSF Presidential Young Investigator Award (1984); IIE FellowKey Activities: Editorial Board, Int. Journal of Industrial & Systems Engineering; Special Issue Co-editor, Int. Journal of Production Economics, Board of Trustees, Institute of Industrial Engineers; Chair-elect CIEADH

Mari Anderson Rowland, Associate ProfessorPh.D. Mathematics, University of Iowa, 1966Email: [email protected] Research Interests: statistics and probability for quality control, academic scholarship programs for all engineering students with an emphasis on women and underrepresented minority studentsHonors and Awards: Best Teacher Award (Top 5%) 2009, WEPAN Educator’s Award, 2009; ASEE Minorities in Engineering Award, 2006; SHPE National Educator of the Year Award, 2005 Key Activities: : SWE National Board, Special Appointee, 2009; WEPAN Proceedings Chair, 2007; ASEE PIC IV Chair, 2006-2008; ASEE Women in Engineering Division Chair, 2005

Douglas Montgomery, Regent’s ProfessorPh.D. Industrial Engineering, Virginia Polytechnic Institute, 1969Email: [email protected] Research Interests: Statistical design of experiments, optimization and response surface methodology, empirical stochastic modeling, and industrial statisticsHonors and Awards: Engineering Lifetime Achievement Award (2009); Greenfield Industrial Medal (2009); Shewhart Medal; Shewell Award; Brumbaugh Award; William G. Hunter Award; Lloyd S. Nelson Award; Fellow of the American Statistical Association, the American Society for Quality Control,the Royal Statistical Society, the Institute of Industrial Engineers, and an Elected Member of the International Statistical InstituteKey Activities: Chief Editor, Quality & Reliability Engineering International

49

Rong Pan, Associate Professor (effective 5/10)Ph.D. Industrial Engineering, Pennsylvania State University, 2002Email: [email protected] Research Interests: Industrial statistics, reliability analysis and time series modelingHonors and Awards: Air Force Summer Faculty Fellowship, 2009, Stan Ofsthum Award by the Society of Reliability Engineers, 2008Key Activities: Associate Editor, Journal of Quality and Technology

INDUSTRIAL ENGINEERING

George Runger, ProfessorPh.D. Statistics, University of Minnesota, 1982Email: [email protected] Research Interests: Statistical Learning, process control, data mining for massive, multivariate data sets Honors and Awards: Best Application Paper Award, IIE Transactions, 2007,Brumbaugh Award-American Society for Quality , 1994, 2003; Ellis R. Ott Foundation Award, 1990; IBM Outstanding Achievement AwardKey Activities: Department Editor- Journal of Quality Technology; Associate Editor- Journal of Mathematical and Management Sciences

Dan Shunk, ProfessorPh.D. Industrial Engineering, Purdue University, 1976Email: [email protected] Research Interests: Agile, enterprise and CIM systems, group technology, planning systems, economics of computer-integrated manufacturing (CIM,) strategy and strategic role of technologyHonors and Awards: Best Teacher Award (Top 5%), 2009, Fulbright Award, 2002-2003, SME International Award for Education, 1996, I&MSE Faculty of the Year award, 1991 & 1999, SME Region VII Educator of the Year award, 1989Key Activities: Editorial Boards: Int. Journal of Flexible Automation & Integrated Manufacturing; Int. Journal of Logistics; Int. Journal of Product Development

J. Rene Villalobos, Associate ProfessorPh.D. Industrial Engineering, Texas A&M University, 1991Email: [email protected] Website: http://eal.asu.eduResearch Interests: Logistics, automated quality systems, manufacturing systems and applied operations research, International Logistics and Productivity Improvement Laboratory (ILPIL)Honors and Awards: NSF Career Award, 1995Key Activities: Member- Institute for Operations Research and the Management Science, Member- American Society for Engineering Education, Technical Advisory Board Member- Int. Journal of Interactive Design and Manufacturing; Director, Center for Engineering Logistics and Distribution

Teresa Wu, Associate ProfessorPh.D. Industrial Engineering, University of Iowa, 2001Email: [email protected] Website: http://swag.fulton.asu.edu/Research Interests: Information systems, supply chain management, multi-agent systems, data mining, Petri nets, Kalman filteringKey Activities: Editorial Boards: International Journal of Electronic Business Management; Computer & Standard Interface, Guest Editor- International Journal of Electronic Business Management Special Issue on Enabling Distributed Product Development

Nong Ye, ProfessorPh.D. Industrial Engineering, Purdue University, 1991Email: [email protected] Website: http://enpub.fulton.asu.edu/ye Research Interests: Information and systems assurance, data mining and modeling, quality optimization and control of system operationsKey Activities: Associate Editor- Information, Knowledge, Systems Management, Associate Editor- IEEE Transactions on Systems, Man, & Cybernetics, Part A; Editorial Boards: International Journal of Human-Computer Interaction; Information, Knowledge, Systems Management

Muhong Zang, Assistant ProfessorPh.D. Industrial Engineering & Operations Research, Univ of California, 2006Email: [email protected] Research Interests: Integer programming, robust optimization, computational optimization, network optimizationKey Activities: Member- Institute for Operations Research and the Management Sciences (INFORMS)

IE Research and Affiliated Graduate FacultyMark Henderson, ProfessorCollege of Technology & Innovation

J. Hunter, Emeritus ProfessorStanford University

Karl Kempf, Director, Decision Eng.Intel Corporation

Srimathy Mohan, Assistant ProfessorW.P. Carey School of Business

Michele Pfund, Clinical Assoc. Professor W.P. Carey School of Business

Antonios Printezis, Clinical Asst. ProfessorW.P. Carey School of Business

Chell Roberts, ChairCollege of Technology & Innovation

Yuntao Zhu, Assistant ProfessorMath & Natural Sciences Division

Hans Armbruster, ProfessorSchool of Mathematical & Statistical Sci.

Jennifer Bekki, Assistant ProfessorCollege of Technology & Innovation

Connie Borror, Associate ProfessorMath & Natural Sciences Division

Mohan Gopalakrishnan, Associate ProfessorW.P. Carey School of Business

EMERITUS FACULTY

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STAFF

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2009 Faculty PublicationsJournal Publications

Alternative Solution Approach,” Journal of the Operational Research Society, Vol. 60, No. 4, pp. 554-564, 2009.

Anderson-Cook, C.M., Borror, C.M., and Montgomery, D.C., “Response Surface Design Evaluation and Comparison,” (with discussion), Journal of Statistical Planning and Inference, Vol. 139, pp. 629-674, 2009.

Askin, R. G., and Krishnan, S. “Defining Inventory Control Points in Stochastic, Multistage Pull Systems”, Int. Journal of Production Economics, 120, 2009, pp. 418-429.

Bae, M, Pan, R., Wu, T. and Badea, A., “Automated Segmentation of Mouse Brain Images using Extended MRF,” NeuroImage, 46, 717-725, 2009.

Balasubramanian, H., Fowler, J.W., Keha, A., and Pfund, M.E, “Scheduling Interfering Job Sets on Parallel Machines,” European Journal of Operational Research, Vol. 199, No. 1, pp. 55-67, 2009.

Baral, C., Gelfond, M., Rushton, J.N., “Probabilistic Reasoning with Answer Sets,” Theory and Practice of Logic Programing, Vol. 9, No.1, pp. 57-144, 2009.

Bazzi, R.A., Choi, Y., Gouda, M.G., “Hop chains: Secure Routing and the Establishment of Distinct Identities,” Theory of Computer Science, Vol. 410, No. 6-7, 467-480, 2009.

Benton, J., Do, M., Kambhampati, S., “Anytime Heuristic Search for Partial Satisfaction Planning,” Artificial Intelligence, Vol. 173, No. 5-6, pp. 562-592, 2009.

Bhagvat, D., Jeschke, S., Cline, D., Wonka, P., “GPU Rendering of Relief Mapped Concial Frusta,” Computer Graphics Forum, Vol. 28, No. 8, pp. 2131-2139, 2009.

Bobach, T, Farin, G., Hansford, D., Umlauf, G., “Natural Neighbor Extrapolation using Ghost Points,” Computer Aided Design, 41, pp. 350-365, 2009.

Bridewell, W. & Langley, P. “Two Kinds of Knowledge in Scientific Discovery,” Topics in Cognitive Science, 2, 36–52, 2009.Brittner, J., Mattausch, O., Wonka, P., Havran, V., Wimmer, M. “Adaptive Global Visibility Sampling,” ACM Transactions on Graphics, Vol. 28, No. 3, article #94, pp. 1-10, 2009.

Brown, J., Colbourn, C.J., and Nowakowski, R.J., Chip Firing and All-Terminal Network Reliability Bounds,” Discrete Optimization 6, pp. 436-445, 2009.

Bryce, R.C and Colbourn, C.J., “A Density-Based Greedy Algorithm for Higher Strength Covering Arrays,” Software Testing, Verification, and Reliability, 19, 37-53, 2009.

Candan, K. S., Donderler, M., Hedgpeth, T., Kim, J-W., Li, Q., and Sapino, M.L, “SEA: Segment-Enrich-Annotate Paradigm for Adapting Digital Content for Improved Accessibility,” ACM Transactions on Information Systems, Vol. 27, pp. 15:1-15:45, July 2009.

Chai, Y., Du, Z., Chen, Y., "A Stepwise Optimization Algorithm of Clustered Streaming Media Servers," Journal of Systems and Software, pp. 1344-1361, 2009.

Chen, J. and Askin, R.G.,“Project Selection and Scheduling w/ Time Dependent Payoffs”, European Journal of Operational Research, 193 (1), 2009, pp. 23-24.

Chen, Y., and Tsai, W.T., “Towards Dependable Service-Orientated Computing Systems,” Simulation Modelling Practice and Theory, Vol. 17, Issue 8, pp. 1361-1366, September 2009.

Chi, M., Jordan, P. VanLehn, K. & Litman, D., “To Elicit or to Tell: Does it matter?” Frontiers in Artificial Intelligence and Applications, Vol. 200, pp. 197-204, 2009.

Chi, M., & VanLehn, K., “Meta-cognitive Strategy Instruction in Intelligent Tutoring Systems: How, When,

Agnetis, A., Grande, E., Mirchandani, P.B., and Pacifici A., “Covering a Line Segment with Variable Radius Discs,” Computers & Operations Research, Vol. 36, pp. 1423-1436, May 2009.

Aguirre, F., Villalobos, J.R., Phelan, P.E., Pacheco, J.R., “Development of Energy-Production Signatures to Assess the Relative Energy Use Efficiency in a Manufacturing Plant,” Energy: The International Journal, In Press, 2009.

Ahmed, S.T., Candan, K.S., Han, S., and Qi, Y. “Topic Development Pattern Analysis based Adaptation of Information Spaces,” New Review of Hypermedia and Multimedia, Volume 15, Issue 1, pp. 73 – 96 April 2009.

Ahn, G.J., Hu, H. and Jin, J., “Security-enhanced OSGi Service Environments,” IEEE Transactions on Systems, Man, and Cybernetics–Part C, Vol. 39 (5), pp. 562-571, September 2009.

Ahumada, O. and Villalobos, J.R., “Application of Planning Models in the Agri-Food Supply Chain: A review,” The European Journal of Operational Research, 2008, Volume 196, Issue 1, 1, pp. 1-20, July 2009.

Ahumada, O. and Villalobos, J.R., “Planning the Production and Distribution of Fresh Produce,” Annals of Operations Research, In Press, 2009.

Ali, S., Ye, J., Razdan, A., Wonka, P., “Compressed Facade Displacement Mapping,” IEEE Transactions on Visualization and Computer Graphics, Vol. 15, No. 2, pp. 262-273, 2009.

Almimi, A.A., Kulahci, M., and Montgomery, D.C., “Checking the Adequacy of Fit of Models from Split-Plot Designs,” Journal of Quality Technology, Vol. 41, No. 3, pp. 272-284, 2009.

Alvarez-Perez, G., Gonzalez-Velarde, J.-L., and Fowler, J.W., “Crossdocking - Just in Time Scheduling: An

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and Why,” Educational Technology and Society, 13, (1), pp. 25-39, 2009.

Chung, P.J., Goldfarb, H.B., Montgomery, D.C., and Borror, C.M., “Optimal Designs for Mixture-Process Experiments Involving Continuous and Categorical Noise Variables,” Quality Technology and Quantitative Management, Vol. 6, No. 4, pp. 451-470, 2009.

Cline, D., Razdan, A., Wonka, P., “A Comparison of Tabular PDF Inversion Methods,” Computer Graphics Forum, Vol. 28, No. 1, pp. 154-160, 2009.

Cline, D., Jeschke, S., Razdan, A., White, K., Wonka, P., “Dart Throwing on Surfaces,” Computer Graphics Forum, Vol. 28, No. 4, pp. 1217-1226, 2009.

Colbourn, C.J. & Ling, A.C.H., “Linear Hash Families and Forbidden Configurations,” Designs, Codes and Cryptography, 59, 25-55, 2009.

Colbourn, C.J., & Ling, A.C.H., “A Recursive Construction to Perfect Hash Families”, Journal of Mathematical Cryptology 3 (2009), 291-296

Colbourn, C.J. & Fujiwara,Y., “Small Stopping Sets in Steiner Triple Systems,” Cryptography and Communications 1, 31-46, 2009.

Colbourn, C.J., Ge, G., and Ling, A.C.H. “Graph Designs for the Eight-Edge Five-Vertex graphs,” Discrete Mathematics, 309, 6440-6445, 2009.

Colbourn, C.J., Ge, G., and Ling, A.C.H., “Optical Grooming with Grooming Ratio Eight,” Discrete Applied Mathematics, 157, 2763-2772, 2009.

Colbourn, C.J. “The Configuration Polytope of $\ell$-Line Configurations in Steiner Triple Systems,” Mathematica Slovaca, 59, 77-108, 2009.

Colbourn, C.J., “Distributing Hash Families and Covering Arrays,” Journal of Combinatorics, Information, and System Sciences, 34, (2009), 113-126.

Craig, S. D., Chi, M., & VanLehn, K., “Improving Classroom Learning by Collaboratively Observing Human Tutoring Videos while Problem Solving,” Journal of Educational Psychology, 101(4), 779-789. 2009.

Cui, M., Razdan, A., Hu, J., and Wonka, P., “Interactive Hyper spectral Image Visualization Using Convex Optimization,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 47. No. 6, pp. 1673-1684, 2009.

Cui, M., Femiani J.C., Hu, J., Wonka, P., Razdan, A., “Pattern Curve Matching for Open 2D,” Curves Recognition Letters, Vol. 30, No. 1, pp. 1-10, 2009.

Deval, S., Ritchie, L., Reisslein, M., and Richa, A.W., “Evaluation of Physical Carrier Sense Based Backbone Maintenance in Mobile Ad Hoc Networks,” International Journal of Vehicular Technology, Vol. 2009, Article ID 958056, 13 pages, 2009.

Dewan, P. and Dasgupta, P., “Mitigating Routing Vulnerabilities in Ad Hoc Networks Using Reputations,” International Journal of Information and Computer Security, Vol 3 No. 2, 2009.

Dewan, P. and Dasgupta, P., “P2P Reputation Management using Distributed Identities and Decentralized Recommendation Chains,” IEEE Transactions on Knowledge and Data Engineering, Feb. 2009.

Du, Y., Gupta, S.K.S., and Varsamopoulos, G., “Improving On-Demand Data Access Efficiency in MANETs with Cooperative Caching,” Elsevier Ad Hoc Journal, 7 (3), 579-598, May 2009.

Du, Z., Man, W., Cheng, Y., Yin Y., Xudong C., "The Triangular Pyramid Scheduling Model and Algorithm for

PDES in Grid," Simulation Modelling Practice and Theory, Vol. 17, Issue 10, pp. 1678-1689, November 2009.

Fainekos, G.E., Antoine, G., Kress-Gazit, H. and Pappas, George J., “Temporal Logic Motion Planning for Dynamic Mobile Robots,” Automatica, Elsevier, Vol. 45, No. 2, pp. 343-352, 2009.

Fainekos, G.E., and Pappas, G.J., “Robustness of Temporal Logic Specifications for Continuous-Time Signals,” Theoretical Computer Science, Elsevier, Vol. 410, No. 42, pp. 4262-4291, 2009.

Farley, T.R. and Colbourn, C.J., “Multiterminal Network Connectedness on Series-Parallel Networks,” Discrete Mathematics, Algorithms, and Applications, 1, pp. 253-265, 2009.

Felici, G., Mecoli, M., Mirchandani, P.B., and Pacifici, A., “Equilibrium in a Two-Agent Assignment Problem,” International Journal of Operational Research, Vol. 6, No. 1, pp. 4-26, 2009.

Feller, A., Wu, T., Shunk, D. and Fowler, J., “Petri Net Translation Patterns for the Analysis of eBusiness Collaboration Messaging Protocols,” IEEE Transactions on System, Man and Cybernetics Part A.: Systems and Humans, Vol. 39, No. 5, pp.1022-1034, 2009.

Feller, A., Wu, T., Shunk, D., Fowler, J., “Supply Chain Management Model Translation and Analysis – an Integrated SCM Multi-Paradigm Modeling Framework,” IEEE Transactions on System, Man, Cybernetics Part A., pp. 1022-1034, 2009.

Ferraris, P., Lee, J. and Lifschitz, V., “Stable Models and Circumscription,” Artificial Intelligence, 2009.

Ferreira, S., Collofello, J., Shunk, D. and Mackulak, G., “Understanding the Effects of Requirements Volatility in Software Engineering by Using Analytical Modeling and

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Software Process Simulation,” The Journal of Systems and Software, Vol. 82, pp. 1568-1577, 2009.

Garcia H., Villalobos, R., Pan, R. and Runger, G., “A Novel Feature Selection Method for the Quadratic Discriminant Function,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, Issue 7, pp.1338 – 1344, July 2009.

Garcia, H and Villalobos, J.R., “Automated Refinement of Automated Visual Inspection Algorithms,” IEEE Transactions on Automation Science and Engineering, Vol. 6, Issue 3, pp. 514-524, July 2009.

Garcia, H.C., Villalobos, J.R., Runger, G.C. and Pan, R., “A Novel Feature Selection Method for the Quadratic Discriminant Function,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 7, pp. 1338-1344, 2009.

Giorgetti, G., Cidronali, A., Gupta, S.K.S., Manes, G., “Single Anchor Indoor Localization Using a Switched Beam Antenna,” IEEE Communication Letters, Vol. 13, No. 1, pp. 58 60, Jan. 2009.

Goel, A., Vrudhula, S., Taraporevala, F., and Ghanta, P., “Statistical Timing Models for Large Macro Cells and ip Blocks Considering Process Variations,” IEEE Transactions on Semiconductor Manufacturing, Vol. 22, No. 1, pp. 3–11, 2009.

González-Ramírez, R. G., Askin, R. G., Smith, N. R., and Villalobos, R., “Shipment Consolidation by Terminals and Vehicles,” Revista de Matemática: Teoría y Aplicaciones, Vol. 16, No.1, pp. 178-187, 2009.

Gowda, T., Vrudhula, S. and Kim, S., “Modeling of Gene Regulatory Network Dynamics Using Threshold Logic,” Annals of the New York Academy of Sciences, Vol. 1158, No. 1, pp. 71-81, 2009.

Gupta, S. K. S., “A Tool for Designing High Confidence Implantable BioSensor Networks for Medical Monitoring,” Special Issue on the 2nd Joint Workshop on High Confidence Medical Devices, Software, and Systems

Journal Publications- contd. (HCMDSS) and Medical Device Plug and Play (MD PnP) Interoperability, SIGBED Review, Vol. 6, No. 2, July 2009.

Harnish, P., Nelson, B.J., and Runger, G.C., "Process Partitions from Time-Ordered Clusters," J. of Quality Technology, Vol. 41, No.1, pp. 3-17, 2009.

Hoskins, D.S., Colbourn, C.J. and Montgomery, D.C., “D-optimal Designs with Interaction Coverage,” Journal of Statistical Theory and Practice, Vol. 3, No. 4, pp. 817-830, 2009.

Huang, D., Sarjoughian, H.S., Wang, Godding, W. G., Rivera D., K. Kempf, H. Mittelmann, “Simulation of Semiconductor Manufacturing Supply-Chain Systems with DEVS, MPC, and KIB,” IEEE Transactions on Semiconductor Manufacturing, Vol. 22, No. 1, 165-174, 2009.

Jeschke, S., Cline, D., Wonka, P., “Rendering Surface Details with Diffusion Curves Stefan,” ACM Transactions on Graphics, Vol. 28, No. 5, pp. 1-8, 2009.

Jeschke, S., Cline, D., Wonka, P., “A Minimal Surface Poisson Solver for Diffusion Curves and Image Editing,” ACM Transactions on Graphics, Vol. 28, No. 5, pp. 1-8. 2009.

Ji, S., Tang, L., Yu, S., and Ye, J., “A Shared-Subspace Learning Framework for Multi-label Classification,” ACM Transactions on Knowledge Discovery from Data, 2009.

Jiang, C.-H., Hu, H., Cai, K.-Y., Huang, D., and Yau, S.S., “An Intelligent Control Architecture for Adaptive Service-based Software Systems,” International Journal of Software Engineering and Knowledge Engineering, Vol. 19, No. 5, pp. 653-678, 2009.

Jin, J. and Li, J., “Multiscale Mapping of Aggregated Signal Features to Embedded Time-Frequency Localized Operations Using Wavelets,” IIE Transactions, Vol. 41, No. 7, pp. 615-625. 2009.

Jin, J. and Ahn, G-J, “Authorization Framework for Resource Sharing in Grid Environments,” Proceedings of International Conference on Grid and Distributed Computing (GDC), Communications in Computer and

Information Science (63), Springer, pp. 148-155, Dec. 2009.

Jin, J., Ahn, G-J, Hu, H, Covington, M., and Zhang, X., “Patient-centric Authorization Framework for Sharing Electronic Health Records,” Proc. Of 14th ACM Symposium on Access Control Models And Technologies (SACMAT), Stresa, Italy, June 3-5, 2009.

Johnson, R.T. and Montgomery, D.C., “Choice of Second-Order Response Surface Designs for Logistic and Poisson Regression Models,” International Journal of Experimental Design and Process Optimization, Vol. 1, No. 1, pp. 2-23, 2009.

Johnson, R.T., Parker, P.A., Montgomery, D.C., Cutler, A.D., Danehy, P.M., and Rhew, R.D., “Design Strategies for the Response Surface Models for the Study of Supersonic Combustion,” Quality and Reliability Engineering International, Vol. 25, pp. 365-377, 2009.

Karnick, P., Jeschke, S., Cline, D., Razdan, A., Wentz, E., Wonka, P., “A Shape Grammar for Developing Glyph-Based Visualizations,” Computer Graphics Forum, Vol. 28, No. 8, pp. 2176-2188, 2009.

Karnik, P., David C., Jeschke, S., Razdan, A., Wonka, P., “Route Visualization using Detail Lenses,” IEEE Transactions on Visualization and Computer Graphics, 2009.

Keha, A., Khowala, K., and Fowler, J., “Mixed Integer Programming Formulations for Single Machine Scheduling Problems,” Computers and Industrial Engineering, Vol. 56, No. 1, pp. 357-367, 2009.

Kierstead, H. A. & Konjevod, G. , “Coloring Number and On-line Ramsey Theory for Graphs and Hypergraphs,” Combinatorica, Vol. 29, No. 1, pp. 49-64, 2009.

Konik, T., O’Rorke, P., Shapiro, D., Choi, D., Nejati, N., & Langley, P., “Skill Transfer Through Goal-Driven Representation Mapping,” Cognitive Systems Research, 10, pp. 270–285.

Kress-Gazit, H., Fainekos, G.E., and Pappas, G.J., “Temporal Logic-based Reactive Mission and Motion Planning,” IEEE Transactions on Robotics, Vol. 25, No. 6, pp. 1370-1381, 2009.

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Langley, P., Choi, D., & Rogers, S., “Acquisition of Hierarchical Reactive Skills in a Unified Cognitive Architecture,” Cognitive Systems Research, 10, pp. 316–332, 2009.

Langley, P., Laird, J. E., & Rogers, S, “Cognitive Architectures: Research Issues and Challenges,” Cognitive Systems Research, 10, pp. 141–160, 2009.

Leary, G., Srinivasan, K., Mehta, K., and Chatha, K.S., “Design of Network-on-Chip Architectures with Genetic Algorithm Based Technique,” IEEE Transactions on VLSI Systems, Vol. 17, No. 5, pp. 674-687, 2009.

Lee, K., Shrivastava, A., Issenin, I., Dutt, N., Venkatasubramanian, N., “Partially Protected Caches to Reduce Failures due to Soft Errors in Multimedia Applications,” TVLSI :IEEE Transactions on VLSI, Vol. 17. No. 9, pp. 1343-1348, Sept. 2009.

Li, J-Q., Liang, L., Borror, C.M., Anderson-Cook, C.M., and Montgomery, D.C., “Graphical Summaries to Compare Prediction Variance Performance for Variations of the Central Composite Design for 6 to 10 Factors,” Quality Technology and Quantitative Management, Vol. 6, No. 4, pp. 433-449, 2009.

Li, J-Q., Mirchandani, P.B., and Borenstein, D., “A Vehicle Rescheduling Problem with Real-time Vehicle Reassignments and Trip Cancellations,” Transportation Research Part E: Logistics and Transportation Review, Vol. 45, No. 3, pp. 419-433, 2009.

Li, J-Q., Mirchandani, P.B., and Borenstein, D., “Real-Time Vehicle Rerouting Problems with Time Windows,“ European Journal of Operational Research, Vol. 194, pp 711-727, May 2009.

Li, W., Zhou, J., Li, B., Sezan, M.I., “Virtual View Specification and Synthesis for Free-Viewpoint Television,” IEEE Transactions on Circuit and Systems for Video Technology, Vol, 19, No. 4, pp.533-546, 2009.

Liu, Z., Sun, P., and Chen, Y., “Structured Search Result Differentiation,” PVLDB, Vol. 2, No. 1, pp. 313-324, 2009.

Liu, Z., Sun, P., Huang, Y., Cai, Y., and Chen, Y., Challenges, Techniques and Directions in Building XSeek:

an XML Search Engine,” IEEE Data Eng, Bull, Vol. 32, No. 2, pp. 36-43, 2009.

Mayer, G.R., and Sarjoughian, H.S., “Composable Cellular Automata,” Simulation Transactions, Vol. 85, No. 11-12, pp. 735-749, 2009.

McClary, D. W., Syrotiuk, V.R., and Kulahci, M., ``Profile Driven Regression for Modelling and Run-Time Optimization of Mobile Networks,” ACM Transactions on Modeling and Computer Simulation, 2009.

McClary, D. W., Syrotiuk, V. R., and Kulahci, M., ``Steepest-Ascent Constrained Simultaneous Perturbation for Multi-Objective Optimization,'' ACM Transactions on Modeling and Computer Simulation, 2009.

McNeill, J. E., Fowler, J.W., Mackulak, G.T. and Kulahci, M., “Simulation Based Cycle-Time Quantile Estimation in Manufacturing Settings Employing Non-FIFO Dispatching Policies,” Journal of Simulation, Vol. 3, No. 2, pp. 69-83, 2009.

Mirchandani, P. B., Gentili, M., and He, Y. "Location of Vehicle Identification Sensors to Monitor Travel-Time Performance," IET Intelligent Transportation Systems, Vol. 3, No. 3, pp. 289-303, 2009.

Misra, Satyajayant, Xue, G., and Bhardwaj, S., “Secure and Robust Localization in a Wireless Ad Hoc Environment,” IEEE Transactions on Vehicular Technology, Vol. 58, pp. 1480-1489, 2009.

Misra, Satyajayant, Reisslein, M., and Xue, G., “A Survey of Multimedia Streaming in Wireless Sensor Networks,” IEEE Communications Surveys and Tutorials, Vol. 10, No. 4, pp. 18-39, 2009.

Monroe, E. and Pan, R., “Knowledge Based Reliability Assessments for Time-Varying Climates,” Quality and Reliability Engineering, International, Vol. 25, No. 1, pp. 111-124, 2009.

Montgomery, D.C. “A Conversation with Stu Hunter,” Quality Engineering, Vol. 21, No. 3, pp. 233-240, 2009.Moon, Y. and Syrotiuk, V. R., “A Cooperative CDMA-based Multi-Channel MAC Protocol for Mobile Ad Hoc

Networks,'' Computer Communications, Vol. 32, No. 17, pp. 1810-1819, November 2009.

Moturu, S., Johnson, W., and Liu, H., “Predictive Risk Modeling for Forecasting High-Cost Patients: a Real-World Application Using Medicaid Data,” International Journal of Biomedical Engineering and Technology, Special Issue on Warehousing and Mining Complex Data: Applications to Biology, Medicine, Behavior, Health and Environment, Vol. 3, No. 1-2, pp. 114-132, 2009.

Mukherjee, T., Gupta, S.K.S., Varsamopoulos, G., “Self Managing Energy Efficient Multicast Support in MANETs under End to End Reliability Constraints,” Elsevier Computer Networks, Vol. 53, No. 10, pp. 1603-1627, July 2009.

Mukherjee, T., Gupta, S.K.S., Varsamopoulos, G., “Energy Optimization for Proactive Unicast Route Maintenance in MANETs under End to End Reliability Requirements,” Elsevier Performance Evaluation, Special Issue, Vol. 66, No. 35, pp 141-157, March 2009.

Mukherjee, T., Banerjee, A., Varsamopoulos, A., Gupta, S.K.S., and Rungta, S,. “Spatio-Temporal Thermal Aware Job Scheduling to Minimize Energy Consumption in Virtualized Heterogeneous Data Centers,” Computer Networks: Special Issue on Virtualized Data Centers (COMNETS), Vol. 53, No. 17, pp 2888-2904, Dec. 2009.

Nam, H., Renaut, R., Chen, K., Guo, H., Farin, G., “Improved Inter-Modality Image Registration Using Normalized Mutual Information with Coarse-Binned Histograms,” Comm. Num. Methods in Engineering, 25, pp. 583-595, 2009.

Nielson, G. M., “Normalized Implicit Eigenvector Least Squares Operators for Noisy Scattered Data: Radial Basis Functions,” Computing, Vol. 86, No. 2-3, pp. 199-212, October, 2009.

Nielson, G. M., Zhang, L., Lee, K., Huang, A., “Spherical Parameterization of Marching Cubes Isosurfaces based upon Nearest Neighbor Coordinates,” Journal of Computer Science and Technology, Vol. 24, No. 1, pp. 30-38, Jan. 2009.

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Journal Publications- contd.

Noh, H., Chiu, Y-C, Zheng, H., Hickman, M., Mirchandani, P., "Approach to Modeling Demand and Supply for a Short Notice Evacuation," Transportation Research Record, 9091, pp. 91-99, 2009.

Obeidat, S. A. and Syrotiuk, V. R. ``An Opportunistic Cross-Layer Architecture for Voice in Multi-hop Wireless LANs,'' International Journal of Communication Systems, Vol. 22, No.4, pp. 419-439, April 2009.

Pan, R., “A Bayes Approach to Reliability Prediction Utilizing Data from Accelerated Life Tests and Field Failure Observations,” Quality and Reliability Engineering, International, Vol. 25, No. 2, pp. 229-240, 2009.

Pan, R. and Rigdon, S., “Bayes Inference for General Repairable Systems,” Journal of Quality Technology, Vol. 41, No.1, pp. 82-94, 2009.

Parameswaran, V., Kannur, A., and Li, B., “Adapting Quantization Offset in Multiple Description Coding for Error Resilient Video Transmission,” Journal of Visual Communication and Image Representation, Vol. 20, Issue 7, pp. 491-503, 2009.

Parmar, D., Wu, T., Callarman, T., Fowler, J., Wolfe, P., “A Clustering Algorithm for Supplier Base Management,” International Journal of Production Research, 1-19, 2009.

Quintana, R., Wang, J.H., Villalobos, J.R., and Graul, M., “Corrective Maintenance through Dynamic Work Allocation and Preemption: Case Study and Application of Bucket Brigade System,” International Journal of Production Research, Vol. 47, No. 13, pp. 3539-3557, January 2009.

Rao, R. and Vrudhula, S., “Fast and Accurate Prediction of the Steady State Throughput of Multi-core Processors under Thermal Constraints,” IEEE Transactions on Computer-Aided Design (TCAD), Vol. 28. pp. 1559–1572, Oct. 2009.

Ritchie, L., Deval, S., Reisslein, M., and Richa, A., “Evaluation of Physical Carrier Sense Based Backbone Construction and Maintenance as well as Broadcast and Convergecast in Ad Hoc Networks,” Ad Hoc Networks, Vol. 7, No. 7, pp. 1347-1369, September 2009.

Tang, J., Xue, G., and Zhang, W. “Cross-Layer Optimization for End-to-End Rate Allocation in Multi-Radio Wireless Mesh Networks,” ACM Wireless Networks (WINET), Vol. 15, (1), pp. 53-64.

Tari, L., Baral, C., Kim, S., “Fuzzy C-Means Clustering with Prior Biological Knowledge,” J. Biomedical Informatics, Vol. 42, No. 1, pp. 74-81.2009.

Torres-García W., Zhang, W., Runger, G., Johnson, R., and Meldrum, D., “Integrative Analysis of Transcriptomic and Proteomic Data of Desulfovibrio Vulgaris: a Nonlinear Model to Predict Abundance of Undetected Proteins,” Bioinformatics, Vol. 25, No. 15, pp. 1905-1914, 2009.

Tran, N., Baral, C., “Hypothesizing About Signaling Networks,” Journal of Applied Logic, Vol. 7, No. 3, pp. 253-274, 2009.

Tuv, E., Borisov, A., Runger, G., Torkkola, K., “Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination,” Journal of Machine Learning Research 10, pp, 1341-1366.

Vanegas, C., Aliaga, D., Wonka, P., Müller, P., Waddell, P., Watson, B., “Modeling the Appearance and Behavior of Urban Spaces,” Computer Graphics Forum, 2009.

Walker II, R.A. and Colbourn, C.J., “Tabu Search for Covering Arrays Using Permutation Vectors,” Journal of Statistical Planning and Inference, 139, 69-80, 2009.

Wang, K., Du, Z., Chen, Y., Li, S., "V3COCA: An Effective Clustering Algorithm for Complicated Objects and its Application in Breast Cancer Research and Diagnosis," Simulation Modelling Practice and Theory, Vol. 17, No. 2, pp. 454-470, 2009.

Wang, W., Yang, S., Bhardwa, S.,Vrudhula, S., Liu, F., and Cao, Y., “The Impact of NBTI Effect on Combinational Circuits: Modeling, Simulation and Analysis,” IEEE Transactions on Very Large Scale Integration, (VLSI), 2009.

Weber, B., Mueller, P., Wonka, P., “Markus Gross Interactive Geometric Simulation of 4D Cities” Computer Graphics Forum, Vol. 28, No. 2, pp. 481-492, 2009.

Rodriguez, M., Montgomery, D.C. and Borror, C.M., “Generating Experimental Designs Involving Control & Noise Variables using Genetic Algorithms,” Quality and Reliability Engineering International, Vol. 25, pp. 1045- 066, 2009.

Ronneseth, A.H . and Colbourn, C.J., “Merging Covering Arrays and Compressing Multiple Sequence Alignments,” Discrete Applied Mathematics, 2177-2190, 2009.

Shao, Q., Sun, P., and Chen, Y. “Efficiently Discovering Critical Workflows in Scientific Explorations,” Future Generation Computer Systems, Vol. 25, No. 5, pp. 577-585, 2009.

Shrivastava, A., Kannan, A., and Lee, J., “A Software-only Solution to use Scratch Pads for Stack Data,” TCAD :IEEE Transactions on Computer Aided Design, Vol. 28, No. 11, pp. 1719-1728, Nov. 2009.

Shrivastava, A., Issenin, L., Dutt, N., Park, S., and Paek, Y., “Compiler-in-the-Loop Design Space Exploration Framework for Energy Reduction in Horizontally Partitioned Cache Architectures,” TCAD :IEEE Transactions on Computer Aided Design, Vol. 28, No. 3, pp. 461-466, March 2009.

Shrivastava, A., Bhardwa, S., and Vrudhula, S., “Reduc- ing Functional Unit Power Consumption and its Variation Using Leakage Sensors,” IEEE Transactions on Very Large Scale Integration (VLSI), Vol. 18, pp. 173–183, Feb. 2009.

Shuiwang J., Li, Y-X, Zhou, Z-H, Kumar, S., and Ye, J., “A Bag-of-Words Approach for Drosophila Gene Expression Pattern Annotation,” BMC Bioinformatics, 10:119, 2009.

Siler, S.A. & VanLehn, K., “Learning, Interactional and Motivational Outcomes in One-to-One Synchronous Computer-Mediated Versus Face-to-Face Tutoring,” International Journal of Artificial Intelligence in Education, Vol. 19, No. 1, pp. 73-102.

Sun, P., Liu, Z., Natarajan, S., Davidson, S.,and Chen, Y., “WOLVES: Achieving Correct Provenance Analysis by Detecting and Resolving Unsound Workflow Views,” PVLDB, Vol. 2, No. 2, pp. 1614-1617, 2009.

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Conference Proceedings

Agarwal, N., Liu, H., S. Murthy, Sen, A. and Wang, X., “A Social Identity Approach to Identify Familiar Strangers in a Social Network,” Third International Conference on Weblogs and Social Media(ICWSM 2009), San Jose, California, May 2009.

Agarwal, N., Kumar, S., Liu, H. and Woodward, M., “BlogTrackers: A Tool for Sociologists to Track and Analyze Blogosphere," Third International Conference on Weblogs and Social Media (ICWSM09), Demo Paper, San Jose, California, May 17 – 20, 2009.

Agarwal, N., Liu, H., Subramanya, S., Salerno, J. and Yu, P.S., “Connecting Sparsely Distributed Similar Bloggers,” IEEE International Conference on Data Mining (ICDM'09), Dec 2009.

Ahmed, S., Bhindwale, R., Davulcu, H., “Tracking Terrorism News Threads by Extracting Event Signatures,” IEEE Intelligence and Security Informatics (ISI), pp. 182-184, 2009.

Ahmed, S.T., Candan, K.S., Cidambaram, S., Gaur, S., Kim, J.W., Kim, M., Sundaram, H., Wang, X., and Yu, R., “Enabling Accessible Interfaces to Digital Library Content,” Demos, IEEE International Conference on Multimedia and Expo (ICME 2009), pp. 1841-1842, June 28 -July 3 2009.

Ahn, G.J., Ko, M. and Shehab, M., “Privacy Enhanced User-Centric Identity Management,”Proceedings of IEEE

Weng, S-J, Wu, T., Blackhurst, J., Mackulak, G., “An Extended DEA Model for Hospital Department Performance Evaluation and Improvement,” Health Services and Outcomes Research Methodology, Vol. 9, Issue 1, pp. 39-45, 2009.

Wolf, G., Kalavagattu, A., Khatri, H., Balakrishnan, R., Chokshi, B., Fan, J., Chen, Y., Kambhampati, S., “Query Processing Over Incomplete Autonomous Databases: Query Rewriting Using Learned Data Dependencies,” VLDB J, Vol. 18, No. 5, pp. 1167-1190, 2009.

Woolf, B., Burleson, W., Arroyo, I., Dragon, T., Cooper, D., and Picard, W, “Affect-Aware Tutors: Recognizing and Responding to Student Affect,” International Journal of Learning Technology, Inderscience Enterprises Ltd, Vol. 4, Nos. 3/4, November, 2009.

Wu, M. and Ye, J., “A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 11, pp. 2088-2092, 2009.

Wu, T., and Blackhurst, J., “Supplier Evaluation and Selection: An Augmented DEA Approach,” International Journal of Production Research, Vol. 47, No. 16, pp. 4593-4608, August 2009.

Xu, X. and Li, B., “Exploit Motion Correlations for 3D Articulated Human Tracking,” IEEE Transactions on Image Processing, Vol. 16, No. 3, pp. 838-849, 2009.

Yau, S. S. and An, H.G., “Adaptive Resource Allocation for Service-Based Systems,” International Journal of Software Informatics, Vol. 3, No. 4, pp. 483-499, 2009.

Yau, S.S., Ye, N., Sarjoughian, H.S., Huang, D., Roontiva, A., Baydogan, M., and Muqsith, M., “Toward Development of Adaptive Service-Based Software Systems,” IEEE Transactions on Service Computing, Vol. 2, No. 3, pp. 247-260, 2009.

Yin, X., Wonka, P., Razdan, A., “Generating 3D Building Models from Architectural Drawings: A Survey,” IEEE Computer Graphics and Applications, Vol. 29. Issue 1, pp. 20-30, 2009.

International Conference on Communications, IEEE, pp. 1-5, June 2009.

Anderson-Rowland, M.R. and Rodriguez, A.A., “Life Planning for Engineering Students,” 39th ASEE/IEEE Frontiers in Education Conference, San Antonio, TX, October 2009, 6 pages.

Anderson-Rowland, M.R. “An Academic Scholarship Program for Transfer Students in Engineering and Computer Science: A Five Year Summary,” Proceedings of the 2009 American Society for Engineering Education Annual conference & Exposition, Austin, TX, June 2009, 15 pages.

Yoon, J.W., Shrivastava, A., Park, S., Ahn, M., and Pae, Y., “A Graph Drawing Based Spatial Mapping Algorithm for Coarse-Grained Reconfigurable Architectures,” TVLSI :IEEE Transactions on VLSI, Vol. 17, No. 11, pp.1565-1579, Nov. 2009.

Yu, S., Bi, J., and Ye, J., “Probabilistic Two-dimensional and Higher-order PCA-style Algorithms,” Data Mining and Knowledge Discovery, 2009.

Zhao, Z. and Liu, H., “Searching for Interacting Features in Subset Selection,” Intelligent Data Analysis - An International Journal, Vol. 13, No. 2, pp. 207 -228, 2009.

Anderson-Rowland, M.R. “Career Planning by Women Engineering Students,” Proceedings of the 2009 WEPAN Conference, Austin, TX, June 2009, 8 pages.

Anderson-Rowland, M.R., “Keeping In Touch with Your Class: Short Class Evaluations,” Proceedings of the 2009 American Society for Engineering Education Annual conference & Exposition, Austin, TX, June 2009, 13 pages.

Anderson-Rowland, M.R. “The Engineering Highway: A New Metaphor Especially Appropriate for Women,” Proceedings of the 2009 WEPAN Conference, Austin, TX, June 2009, 14 pages.

Anderson-Rowland, M.R., “Understanding Engineering Freshman Study Habits: the Transition from High School to College,” Proceedings of the 2009 American Society for Engineering Education Annual conference & Exposition, Austin, TX, June 2009, 13 pages.

Araz, O.M., Fowler, J.W., Lant, T., and Jehn, M., “A Pandemic Influenza Simulation Model for Preparedness Planning,” Proceedings of the Winter Simulation Conference, Austin, TX, Dec. 13-16, 2009, pp. 1986-1995.

Arroyo, I., Cooper, D., Burleson, W., Woolf, B., Muldner, K., Christopherson, R., “Emotion Sensors Go to School,” Proceedings of 14th International Conference on Artificial Intelligence in Education, Brighton, England, July 2009.

Askin, R. G., “Fowler, J., Fu, M., Jarugumlli, S., Keng, N., “Capacity Models for Multistage Production Systems w/ Parallel Processors,” Proceedings of the 7th Conference on

58

2nd ACM Workshop on Hot Topics in Software Upgrades (HotSWUp '09), October 2009.

Bazzi, R.A., Herlihy, M., “Enhanced Fault-Tolerance through Byzantine Failure Detection,” OPODIS 2009: 129-143, December 2009.

Berrado, A., Runger, G., "Supervised Multivariate Discretization in Mixed Data with Random Forests," 7th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA-2009), Rabat, Morocco, May 2009.

Borisov, A., Runger, G., and Tuv, E., “Contributor Diagnostics for Anomaly Detection,” Artificial Neural Networks ICANN 2009, 19th International Conference, Limassol, Cyprus, Proceedings, Springer, pp. 944-953, September 14-17, 2009.

Borisov, A., Runger, G., Tuv, E., and Lurponglukana-Strand, N., “Zero-Inflated Boosted Ensembles for Rare Event Counts,” IDA '09: Proceedings of the 8th International Symposium on Intelligent Data Analysis, Lyon, France, pp. 225-236, Springer, 2009.

Cai, Y. and Chen, Yi. “Mining Influential Bloggers: From General to Domain Specific," Proceedings of 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, 2009.

Candan, K.S., Cao, H., Qi, Y., and Sapino, M.L., “AlphaSum: Size-Constrained Table Summarization using Value Lattices,” 12th International Conference on Extending Database Technology (EDBT.), Saint Petersburg, Russia, March 24-26 2009.

Candan, K.S., Li, W-S, Phan, T., and Zhou, M., “Frontiers in Information and Software as Services,” First IEEE Workshop on Information & Software as Services, Shanghai, China, 2009.

Candan, K.S., “Multimedia Data Mining Workflows: Efficiency and Effectiveness,” SIAM SDM Workshop on Multimedia Data Mining, 2009.

Cao, H., Qi, Y.,Candan, K.S., Sapino, M.L., “Exploring Path Query Results through Relevance Feedback,” CIKM, pp. 1959-1962, 2009.

Conference Proceedings- contd.

Stochastic Models of Manufacturing and Service Systems, Ostuni, Italy, 2009, 9 pages.

Askin, R. G., “Grand Challenges for Industrial Engineering in the 21st Century,” Proceedings of the Industrial Engineering Research Conference, Miami, FL, 2009, 9 pages.

Baker, M.A., Dalale, P., Chatha, K.S., and Vrudhula, S.B.K., “A Scalable Parallel H.264 Decoder on the IBM Cell Broadband Engine Architecture," Proceedings of International Conference on Hardware-Software Codesign and System Synthesis (CODES-ISSS), Grenoble, France, October 12-14, 2009.

Balasooriya, J., Morgan, S., Gonzalez, G., “Defining Web-Service Based Biological Analysis Workflows,” Rocky 2009 Bioinformatics Conference, Aspen, Colorado, December 2009.

Bandyopadhyay, S., Rahman, Q., Banerjee, S., Murthy, S., and Sen, A., “Dynamic Lightpath Allocation in Translucent WDM Optical Networks,” IEEE International Communication Conference (ICC), Dresden, Germany, June 2009.

Banerjee, A., Venkatasubramanian, K., and Gupta, S.K.S., “Challenges of Implementing Cyber-Physical Security Solutions in Body Area Networks,” 6th Int. Workshop on Wearable and Implantable Body Sensor Netwokrs (BodyNets 2009), pp 240-245, April 2009.

Bapat, T., Candan, K.S., Cherukuri, V., and Sundaram, H., “Information-Gradient based Decentralized Data Management over RFID Tag Clouds,” 10th International Conference on Mobile Data Management: Systems, Services and Middleware (MDM 2009), 2009.

Bapat, T., Candan, K.S., Cherukuri, V., and Sundaram, H., “AURA: Enabling Attribute-based Spatial Search in RFID Rich Environments,” 25th International Conference on Data Engineering (ICDE), Shanghai, China, March 29, 2009.

Bazzi, R.A., Makris, K., Nayeri, P., Shen, J., “Dynamic Software Updates: The State Mapping Problem,” The

Chen, J., Tang, L., Liu, J., and Ye, J., “A Convex Formulation for Learning Shared Structures from Multiple Tasks,” The Twenty-Sixth International Conference on Machine Learning, 2009.

Chen, Y., Lee, Y-H, Xu, X., Wong, W.E., Guo, D., “A Genetic Algorithm Based Approach for Event Synchronization Analysis in Real-Time Embedded Systems,” Proceedings of the 2009 International Conference on Embedded Software and Systems, pp. 201-208 May 25-27, 2009.

Chen, Yi, Wang, W., Liu, Z., and Lin, X., “Keyword Search on Structured and Semi-structured Data," 28th ACM SIGMOD International Conference on Management of Data, 2009.

Chen, Y., Sabnis, A., and Garcia-Acosta, "Design and Performance Evaluation of a Service-Oriented Robotics Application," 29th IEEE international Conference on Distributed Computing Systems Workshops, Montreal, pp.292 – 299, June 22 - 26, 2009.

Chen, Y., and Bai, X., "On Robotics Applications in Service-Oriented Architecture," The 28th IEEE International Conference on Distributed Computing Systems, ADSN Workshops, pp. 551-556.

Cheng, Z., Du, Z., Chen, Y., and Wang, X. "Virtual Workspace Based Job Execution Methods and Dynamic Makespan Optimized Scheduling Algorithms," The 28th IEEE International Conference on Distributed Computing Systems, ADSN Workshops, pp. 599-604.

Cidronali, A., Maddio, S., Giorgetti, G., Magrini, I., Gupta, S.K.S., Manes, G., “A 2.45 GHz Smart Antenna for Locationaware Single Anchor Indoor Application,” IEEE Microwave Symp. Digest, pp: 1553 – 1556, June 2009.

Cokshi, R., Berezowski, K., and Shrivastava, A., “Exploiting Residue Number System for Power-Efficient Digital Signal Processing in Embedded Processors,” CASES 2009 : Proceedings of the 2009 International Conference on Compilers, Architectures and Synthesis for Embedded Systems, 2009.

59

Colbourn, C.J. and Kéri, G. “Binary Covering Arrays and Existentially Closed Graphs,” Proceedings of the Int. Workshop Coding and Cryptology, Lecture Notes in Computer Science 5557, 22-33, 2009.

Cooper, D., Arroyo, I., Woolf, B., Muldner, K., Burleson, W., and Christopherson, R., “Sensors Model Student Self Concept in the Classroom,” International Conference on User Modeling and Adaptive Presentation, Trento, Italy, June 2009.

Cui, M. and Syrotiuk, V.R., ``Cooperative Signaling and it’sApplication in a Power-Controlled MAC Protocol,'' Proceedings of the 8th International Conference on Ad Hoc Networks and Wireless (AdHoc Now'09), Murcia, Spain., pp. 16-29, September 22-25, 2009.

Das, N., Ghosh, P., and Sen, A., “Approximation Algorithm for Avoiding Hotspot Formation of Sensor Networks for Temperature Sensitive Environments,” IEEE Globecom, Honolulu, Hawaii, November 2009.

Davidson, S., Chen, Yi., Sun, P., and Cohen-Boulakia, S., “On User Views in Scientific Workflow Systems," The First International Workshop on the role of Semantic Web in Provenance Management, in Conjunction with ISWC, 2009.

Davulcu, H., Mukhopadhyay, S., Singh, P., and Yau, S.S., “Default α-Logic for Modeling Customizable Failure Semantics in Workflow Systems Using Dynamic Reconfiguration Constraints,” Proceedings of International Conference on Grid and Distributed Computing (GDC), pp. 49-56, 2009.

Demaine, E. D., Demaine, M.L., Konjevod, G., & Lang, R.J., “Folding a Better Checkerboard,” ISAAC, pp. 1074-1083, 2009.

Denton, B.T., Fowler, J.W., Schaefer, A., Batun, S., Erdogan, S.A., and Gul, S., “Optimization of the Design and Operation of Surgery Delivery Systems,” Proceedings of the 2009 NSF CMMI Grantees and Research Conference, 2009.

Dzifcak, J., Scheutz, M., Baral, C., Schermerhorn, P.W., “What to Do and How to Do It: Translating Natural Language Directives into Temporal and Dynamic Logic Representation for Goal Management and Action

Execution,” International Conference in Robotics and Automation (ICRA), pp. 4163-4168. 2009

Fainekos, Georgios E. and Pappas, G.J., “MTL Robust Testing and Verification for LPV Systems,” Proceedings of the 2009 American Control Conference, St. Louis, Missouri, June 2009.

Feng, X., Chitturi, B., Liu, C., “Sorting Circular Permutations by Bounded Transpositions,” Proc. of Int’l Conference on Bioinformatics and Computational Biology (BIOCOMP’09), pp. 562-566, 2009 Ferraris, P., Lee, J., Lifschitz, V., and Palla, R., “Symmetric Splitting in the General Theory of Stable Models,” Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI 2009), pp. 797–803, 2009.

Gall, Dominik, Jacob, R., Richa, A., Scheideler, C., Schmid, S., and Taeubig, H., “Brief Announcement: On the Time Complexity of Distributed Topological Self-Stabilization,”11th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS), pp. 781-782, 2009.

Gel, A., Gel, E. S. , Ormeci, L., Salman, F. S., and Yucel, E., “Designing Routes to Match Collected Workload with the Processing Capacity,” Proceedings of the International Workshop on Freight Transportation and Logistics, Cesme, Turkey, May 26-29 2009.

Ghosh, P. and Sen, A. “Efficient Application Mapping to Network-on-Chip Processing Elements Operating at Mul-tiple Voltage Levels,” 3rd ACM/IEEE International Sym-posium on Networks-on-Chip, San Diego, California, May 2009.

Gibbs, J.D., and Sarjoughian, H.S., “Assessing the Impact of a Computer Network Modeling Tool and its Support for Verification and Validation,” Symposium on Performance Evaluation of Computer and Telecommunication Systems, Istanbul, Turkey, July 2009.

Giorgetti, G., Maddio, S., Cidronali, A., Gupta, S.K.S., Manes, G., “Switched Beam Antenna Design Principles for Angel of Arrival Estimations,” IEEE European Wireless Technology Conference (EuWIT), pp. 5-8, Sep. 2009.

Gul, S., Fowler, J.W., and Denton, B.T., “Modeling and Analysis of the Tradeoffs in Surgical Suite Performance Measures,” Proceedings of the 2009 INFORMS Simulation Society Research Workshop, pp. 80-84, 2009.

Gonzalez-Ramirez, R., Smith, N.R., Askin, R.G., “Districting Design of a Parcel Company,” OPTIMA 2009: VIII Congreso Chileno de Investigacion Operativa, Chile, 14 pages.

Ham, M.S., Lee, Y.H., and Fowler, J.W., “Integer Programming-Based Real-Time Scheduler in Semiconductor Manufacturing,” Proceedings of the Winter Simulation Conference, Austin, TX, pp. 1657-1666, Dec. 13-16, 2009.

Hanumaiah, V., Ravishankar, R., Vrudhula, S. and Chatha K. S., “Throughput Optimal Task Allocation Under Thermal Constraints for Multi-Core Processors," Proceedings of the 46th IEEE/ACM Design Automation Conference (DAC), San Francisco, CA, July 26-31 , 2009.

Hanumaiah, V., Vrudhula, S. and Chatha, K. S. "Maximizing Performance of Thermally Constrained Multi-core Processors by Dynamic Voltage and Frequency Control." Proceedings of the IEEE/ACM International Conference on Computer-Aided Design (ICCAD). San Jose, CA, Nov. 2-5, 2009.

Hanumiah, V., Vrudhula, S., and Chatha, K.S., “Performance Optimal Speed Control of Multi-Core processors Under Thermal Constraints,” Proceedings of the Design, Automation & Test in Europe (DATE), Nice, France, March 20-24, 2009.

Hausmann, R. G. M. & VanLehn, K.., “Self-explaining in the Classroom: Learning Curve Evidence In D. McNamara & G. Trafton (Eds.),”Proceedings of the 29th Annual Conference of the Cognitive Science Society, New York, NY: Erlbaum, pp. 1067-1072.

Hausmann, R. G. M., Nokes, T. J., VanLehn, K & Van de Sande, B., “Collaborative Dialog While Studying Worked-out Examples,” Artificial Intelligence in Education, Amsterdam, Netherlands: IOS Press, 2009.

Hincapie, R., Zhang, L., Tang, J., Xue, G., Wolff, R., and Bustamante, R., “Efficient Recovery Algorithms for

60

Lee, J. and Shrivastava, A., “Static Analysis to Mitigate Soft Errors in Register Files,” Proceedings of the International Conference on Design Automation and Test in Europe, 2009.

Lee, J., and Palla, R., “System F2LP - Computing Answer Sets of First-Order Formulas.” Proceedings of the 10th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2009), pp. 515–521, 2009.Lee, J. and Meng, Y., “On Reductive Semantics of Aggregates in Answer Set Programming,” Proceedings of the 10th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2009), pp. 182–195, 2009.

Lee, Y. H., Li, W., Tsai, W.T., Son, Y.S., and M. K.D., “A Code Generation and Execution Environment for Service-Oriented Smart Home Solutions,” IEEE International Conference on Service-Oriented Computing and Applications (SOCA'09), Dec. 14-15, 2009.

Li, N., Stracuzzi, D. J., Langley, P., and Nejati, N. “Learning Hierarchical Skills from Problem Solutions Using Means-Ends Analysis, Proceedings of the Thirty-First Annual Meeting of the Cognitive Science Society, Amsterdam, 2009.

Li, N., Cushing, W., Kambhampati S., Yoon S. W., “Learning User Plan Preferences Obfuscated by Feasibility Constraints,” ICAPS, 2009.

Li, Y.X., Ji, S., Kumar, S., Ye, J., and Zhou, Z.H., “Drosophila Gene Expression Pattern Annotation Through Multi-Instance Multi-Label Learning,” The Twenty-first International Joint Conference on Artificial Intelligence (IJCAI) 2009.

Lin, Y.K., Pfund, M.E., and Fowler, J.W., “Minimizing Makespans for Unrelated Parallel Machine Scheduling Problems”, IEEE International Conference on Service Operations, Logistics, and Informatics, Chicago, IL., July 22-24, 2009.

Lipp, M., Wonka, P., and Vision, M. W. “Parallel Generation of L-Systems” Modeling, and Visualization Workshop, 2009.


Wireless Mesh Networks with Cognitive Radios,” IEEE International Conference on Communications (ICC'2009), Dresden, Germany, June 14-18, 2009.

Huang, D., and Kapoor, H., “Towards Lightweight Secure Communication Protocols for Passive RFIDS,” in Proceedings of the 6th IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp. 1-7, 2009.

Huang, D. Secure Multi-path Data Delivery in Sensor Networks,” Proceedings of Milcom, 2009.

Huang, D., on “An Information Theoretic Approach to Model Anonymous MANET Communications,” Proceedings of IEEE International Symposium on Information Theory (ISIT), pp. 1629-1633, 2009.

Huang, S., Jing, L., Liang, S., Jun, L., Wu, T.., Kewei, C., Fleisher, A., Reiman, E., and Ye, J., “Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data,” The Twenty-Third Annual Conference on Neural Information Processing Systems (NIPS ), 2009.

Jagasia, M., and Huang, D., “Distributed Data-theft Detection in Wireless Sensor Networks,” Proceedings of IEEE Globecom, AHSN, 2009.

Ji, S., and Ye, J., “An Accelerated Gradient Method for Trace Norm Minimization,” The Twenty-Sixth International Conference on Machine Learning (ICML) 2009.

Ji, S. and Ye, J., “Linear Dimensionality Reduction for Multi-label Classification,” The Twenty-first International Joint Conference on Artificial Intelligence (IJCAI), 2009.

Ji, S., Yuan, Lei, Y., Li, X., Zhou, Z. H., Kumar, S., and Ye, J., “Drosophila Gene Expression Pattern Annotation Using Sparse Features and Term-term Interactions,” The Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 407-416, Short Presentation, 2009.

Kapoor, H. and Huang, D., “Secret-Sharing Based Secure Communication Protocols for Passive RFIDs,” In

Proceedings of IEEE Globecom, CISS, 2009. “Propagate Efficiently,” SIAM International Conference on Data Mining (SDM), 2009.

Kim, J. W., and Candan K. S., “Skip-and-Prune: Cosine-based Top-K Query Processing for Efficient Context-Sensitive Document Retrieval,” ACM SIGMOD International Conference on Management of Data (SIGMOD), 2009.

K., J. W., Candan K. S., and Tatemura, J., “Efficient Overlap and Content Reuse Detection in Blogs and Online News Articles,” 18th International World Wide Web (WWW) Conference, 2009.

Kim, S. J. and Gupta, S. K. S., “Audio Based Self Organizing Authentication for Pervasive Computing: A Cyber Physical Approach,” Proc of 2nd International Workshop on Next Generation of Wireless and Mobile Networks (NGWMN 2009), pp. 362-369, Vienna, Austria, 2009.

Kim, T.W., Lee, J. and P. Ravi., “Circumscriptive Event Calculus as Answer Set Programming,” Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI 2009), pp. 823–829, 2009.

Konjevod, G. & Kupresanin, A. M., “Notation for a Class of Paperfolded Models,” Proceedings of the 12th Annual Bridges Conference, Banff, pp. 47-54, 2009.

Leary, G. and Chatha, K. S., “Automated Technique for Design of NoC with Minimal Communication Latency," Proceedings of International Conference on Hardware-Software Codesign and System Synthesis (CODES-ISSS), Grenoble, France, Oct. 12-14, 2009.

Lee, J. and Shrivastava, A., “A Compiler Optimization to Reduce Soft Errors in Register Files,” (LCTES 2009):Proceedings of the 2009 ACM SIGPLAN/SIGBED Conference on Language, Compilers and Tool support for Embedded Systems, 2009.

Lee, J., and Shrivastava, A., “Compiler-Managed Register File Protection for Energy-Efficient Soft Error Reduction,” Proceedings of the Asia and South Pacific Design Automation Conference, 2009.

61

Liu, C., C., Jiang H., Hu H., Cai, K.-Y., Huang, D., and Yau, S. S., "A Control-Based Approach to Balance Services Performance and Security for Adaptive Service Based Systems (ASBS)," Proceedings of 33rd Annual IEEE International Computer Software and Applications Conference (COMPSAC 2009), vol. 2, pp.473-478, 2009.

Liu, J., Przem, M., Wonka, P., and Ye, J.,“Tensor Completion for Estimating Missing Values in Visual Data,” The Twelfth IEEE International Conference on Computer Vision (ICCV), 2009.

Liu, Jun, and Ye, J., Efficient Euclidean Projections in Linear Time. The Twenty-Sixth International Conference on Machine Learning (ICML 2009).

Liu, J., Chen, J., and Ye, J., “Large-Scale Sparse Logistic Regression,” The Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 547-556, Full Presentation, 2009.

Liu, J., Chen, J., Chen, S., and Ye, J., “Learning the Optimal Neighborhood Kernel for Classification,” The Twenty-first International Joint Conference on Artificial Intelligence (IJCAI), 2009.

Liu, J., Ji S., and Ye, J., “Multi-task Feature Learning via Efficient L2,1-Norm Minimization,” The Twenty-fifth Conference on Uncertainty in Artificial Intelligence (UAI) 2009.

Liu, Ji, Musialski P., Wonka, P., and Ye J., “Tensor Completion for Estimating Missing Values in Visual Data,” The Twelfth IEEE International Conference on Computer Vision (ICCV), 2009.

Liu, X., Du, Z., Chen, Y., Dai, M., "An Index Clustering and Mapping Algorithm for Large Scale Astronomical Data Searching," In Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems Workshops, Montreal, pp.318-323, June 22 - 26, 2009.

Makris, K., Bazzi, R. A., “Immediate Multi-Threaded Dynamic Software Updates Using Stack Reconstruction,” USENIX Annual Technical Conference (USENIX), pp.397-410, June 2009.

Maniyar, R., Ghosh, P. and Sen, A., “A Unified Approach for Multiple Multicast Tree Construction and Max-Min Fair Rate Allocation,” IEEE International Conference on High Performance Switching and Routing (HPSR), Paris, France, June 2009.

Mejia, L. and Pan, R., “Product Robust Design via Accelerated Degradation Tests,” Proceedings of the Annual Reliability & Maintainability Symp., IEEE. Fort Worth, TX, 2009. Mirchandani, P. B. (presenter) and Gentili, M. "Scheduling and Routing of Airborne Sensors to Monitor HAZMAT Trucks," ODYSSEUS 2009, Cesme, Turkey, May, 2009.

Misra, S., Xue, G., and Yang, D., “Polynomial Time Approximations for Multi-Path Routing with Bandwidth and Delay Constraints,” IEEE INFOCOM'2009, Rio de Janeiro, Brazil, pp. 558-566, April 19-25, 2009.

Misra, S., Verma M., Huang, D., and Xue G., “SEAS: A Secure and Efficient Anonymity Scheme for Low-Cost RFID tags,” IEEE International Conference on Communications (ICC'2009), Dresden, Germany, June 14-18, 2009.

Moturu, S. T. and Liu, H., “Evaluating the Trustworthiness of Wikipedia Articles through Quality and Credibility,” The 5th International Symposium on Wikis and Open Collaboration, Florida, Oct 25-2, 2009.

Moturu, S.T., Yang, J. and Liu, H., “Quantifying Utility and Trustworthiness for Advice Shared on Online Social Media," Symposium on Social Intelligence and Networking, IEEE International Conference on Social Computing (SocialCom'09), Vancouver, Canada, Aug 29-31, 2009.

Mukherjee, T. and Gupta, S. K. S., “A Crisis Response Evaluation Tool to Improve Crisis Preparedness," IEEE Int.Conf. on Technologies for Homeland Security, Waltham, MA, May 11-12, 2009.

Mukherjee, T., Gupta, S. K. S., Varsamopoulos, G. “Self-Managing Energy-Efficient Multicast Support in MANETs under End to End Reliability Constraints,” Elsevier Computer Networks, vol. 53(10), pp. 1603-1627, July 2009.

Muldner, K., Christopherson, R., Atkinson, R., and Burleson, W., “Investigating the Utility of Eye-tracking Information on Affect and Reasoning for User Modeling,” International Conference on User Modeling and Adaptive Presentation, Trento, Italy, June 2009.

Murthy, S., P. Hegde and A. Sen, “Design of a Delay-Based Routing Protocol for Multi-rate Multi-hop Mobile Ad Hoc Networks,” IEEE International Communication Conference (ICC), Dresden,Germany, June 2009.

Musialski, P., Wonka, P., Recheis, M., Maierhofer, S., Vision, W. P., “Modeling, and Visualization Workshop,” Symmetry-Based Facade Repair, 2009.

Mylavarapu, S., Chaudhuri S., Shrivastava, A., Lee, J., and Givargis, T., “FSAF: File System Aware Flash Translation Layer for NAND Flash Memories,” Proceedings of the International Conference on Design Automation and Test in Europe, 2009.

Nafarrate, Ramirez, A., Fowler, J.W., and Wu, T., “Analysis of Ambulance Diversion Policies for a Large-size Hospital”, Proceedings of the Winter Simulation Conference, Austin, TX, pp. 1875-1886, Dec. 13-16, 2009.

Nafarrate, A. R., Fowler, J.W. and Wu, T., “Modeling of Regional Healthcare Delivery Networks Using Distributed Simulation,” 17th Annual Industrial Engineering Research Conference, Miami, FL, pp. 681-685, May 30-June 3, 2009.

Nagesh, P. and Li, B., “A Compressive Sensing Approach for Expression-Invariant Face Recognition,” CVPR, June, 2009.

Nagesh, P. and Li, B., “Compressive Imaging of Color Images,” ICASSP, April, 2009.

Nasser, S., Ranade, A. R., Sridhart, S., Haney, L., Korn, R. L., Gotway, M. B., Weiss, G. J., Kim, S., “Identifying MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain,” IEEE International Conference on Bioinformatics & Biomedicine, Washington D.C. USA. (best paper award), Nov 1- 4, 2009.

Nasser, S., Weiss, G. J., Ranade, A. R., and Kim, S, “In-silico Conditioning of MicroRNA to Identify Potential

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2009: 3912-3917 An Ensemble Learning and Problem Solving Architecture for Airspace Management, Proceedings of IAAI, 2009.

Sen, A. and Banerjee, S., “Impact of Region-based Faults on the Connectivity and Capacity of Wireless Networks,” 47th Annual Allerton Conference on Communication,Control, and Computing, University of Illinois, Urbana-Champaign, September 2009.

Sen, A., Murthy, S., and Banerjee, S., “Region-Based Connectivity - A New Paradigm for Design of Fault-tolerant Networks,” IEEE International Conference on High Performance Switching and Routing (HPSR), Paris, France, June 2009.

Sen, I., Verdicchio, M., Jung, S., Trevino, R., Bittner, M. and Kim, S. (2009) “Context-Specific Gene Regulations in Cancer Gene Expression Data,” The Pacific Symposium on Biocomputing, Big Island, HI, Jan 5-9, 2009.

Shao, Q., Sun, P., and Chen, Y., "WISE: a Workflow Information Search Engine," Demo Description, Proceedings of the 25th International Conference on Data Engineering (ICDE), 2009.

Shen, B. H., Ji, S., and Ye, J., “Mining Discrete Patterns via Binary Matrix Factorization,” The Fifteenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (SIGKDD), pp. 757-766, Full Presentation, 2009.

Shin, D., Lopes R., Claycomb, W., and Ahn, G.J. “A Framework for Enabling User-Controlled Persona in Online Social Networks,” Proceedings of Annual IEEE International Computer Software and Applications Conference (COMPSAC), IEEE, pp. 292-297, July 2009.

Shinde, A., Apley, D., Runger, G., “Preimages for Visualization of Variation Patterns from Kernel Methods,” Proceedings of the National Science Foundation CMMI Conference, Honolulu, HI, 2009.

Soares, S. N., Halambi, Ashok, Shrivastava, A., Wagner, F. R., and Dutt, N. Adaptive “Recuced Bit-width Instruction Set Architecture (adapt-RISA) VLSI-SOC 2009,” Proceedings of the 17th IFIP/IEEE International Conference on Very Large Scale Integreation, 2009.


Biomarkers from Serum for Pancreatic Cancer,” IEEE GENSIPS 2009, Minneapolis, MN, USA, May 17-19, 2009.

Nayeri, P., Colbourn, C.J., and Konjevod, G., “Randomized Postoptimization of Covering Arrays,” Proceedings of the Int. Workshop on Combinatorial Algorithms (lWOCA), pp. 408-419, 2009.

Nielson, G. M. & Lee, K., “Urban Terrain Data Modeling with Adaptive Marching Tetrahedra and Feature Detecting Techniques,” Proceedings of the 2009 conference on Information Science, Technology and Applications, Kuwait, pp. 30-39, 2009 ISBN:978-1-60558-478-2, ISTA 2009.

Nielson, G. M., “Normalized Implicit Eigenvector Least Squares Operators for Noisy Scattered Data: Piecewise Linear 2D Models, WorldComp 2009,” MSV’09, Proceedings of the 2009 International Conference on Modeling, Simulation & Visualization Methods, CSREA Press, pp. 87-91, July 13-16, 2009.

Noh, H., Chiu Y-C, Zheng, H., Hickman, M., Mirchandani, P.B., “ Approach to Modeling Demand and Supply for Short-Notice Evacuation,” TRB 88th Annual Meeting, Washington, D.C., January 11-15, 2009.

Onus, Melih, Richa, A., Brief Announcement: Parameterized Maximum and Average Degree Approximation in Topic-Based Publish-Subscribe Overlay Network Design.” Proceedings of the 17th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), pp. 39-40, 2009.

Onus, Melih, Richa, A.,“Minimum Maximum Degree Topic-Based Publish-Subscribe Overlay Network Design”. Proceedings of the 28th Annual IEEE Conference on Computer Communications (INFOCOM), 2009.

Overholt, D., Lahey, B., Hansen, A., Burleson, W., Jensen, C., “Pendaphonics,” Proceedings of the Conference on New Interfaces for Musical Expression, Installation, Carnegie Mellon University, Pittsburg, PA, June, 2009.

Overholt, D.; Hansen, A.; Jensen, C.; Burleson, W.,

“Musical Applications and Design Techniques for the Gametrack Tethered Spatial Position Controller,” Proceedings of the Conference on Tangible Embedded Interaction 2009, Cambridge, England, February 2009.

Pan, R., “A Unifying Approach to Data Fusion for Reliability Prediction,” Mathematical Methods in Reliability, Moscow, June 22-27, 2009.

Pan, R. and Monroe, E. “Modeling and Analysis of Profiled Reliability Tests using Computation-Intensive Statistical Methods,” The 2nd IREE Proceedings, NSF, April 2009. Pan, R. “GLM Approach to Step-Stress Accelerated Life Testing Data Analysis,” The 2009 Proceedings of NSF CMMI Engineering Research and Innovation Conference, Honolulu, Hawaii, June 2009.

Qin, Y. and Huang, D., “A Statistical Traffic Pattern Discovery System for MANETS,” Proceedings of Milcom, 2009.

Reiley, J., Sandeep, M., and Shrivastava, A., “Code Transformations for TLB Power Reduction,” VLSI 2009: Proceedings of the 22nd International Conference on VLSI Design, 2009.

Riko, J., Richa, A. W., Scheideler C., Schmid, S., Taeubig, H. “A Distributed Polylogarithmic Time Algorithm for Self-Stabilizing Skip Graphs,” Proceedings of ACM Symposium on Principles of Distributed Computing (PODC), pp. 131-140, 2009.

Runger, G., Tuv, E., “SGER: Feature Selection with Ensembles for Complex Systems,” Proceedings of the National Science Foundation CMMI Conference, Honolulu, HI, 2009.

Sarjoughian, H.S., Elamvazhuthi, V., “CoSMoS: A Visual Environment for Component-Based Modeling, Experimental Design, and Simulation,” Proceedings of the International Conference on Simulation Tools and Techniques, Rome, Italy, March 1-9, 2009.

Schermerhorn, P. W., Benton, J., Scheutz, M., Talamadupula, K., Kambhampati, S., “Finding and Exploiting Goal Opportunities in Real-Time During Plan Execution,” IROS

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Stracuzzi, D. J., Li, N., Cleveland, G., & Langley, P. “Representing and Reasoning Over Time in a Cognitive Architecture,” Proceedings of the Thirty-First Annual Meeting of the Cognitive Science Society, Amsterdam.

Sun, L., Patel, R., Liu, J., Chen, K., Wu, T., Li, J., Reiman, R., and Ye, J., “Mining Brain Region Connectivity for Alzheimer's Disease Study via Sparse Inverse Covariance Estimation,” Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Paris, France, June 28-July 1, 2009. Sun, L., Liu, J., Chen, J., and Ye, J., “Efficient Recovery of Jointly Sparse Vectors,” The Twenty-Third Annual Conference on Neural Information Processing Systems (NIPS), 2009.

Sun, L., Patel, R., Liu, J., Chen, K., Wu, T., Li, J., Reiman, E., and Ye, J., “Mining Brain Region Connectivity for Alzheimer's Disease Study via Sparse Inverse Covariance Estimation,” The Fifteenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (SIGKDD), pp. 1335-1344, Full Presentation, 2009.

Sun, L., Ji, S., and Ye, J., “A Least Squares Formulation for a Class of Generalized Eigenvalue Problems in Machine Learning,” The Twenty-Sixth International Conference on Machine Learning (ICML), 2009.

Sun, L., Ji, S., Yu, S., and Ye, J., “On the Equivalence Between Canonical Correlation Analysis and Orthonormalized Partial Least Squares,” The Twenty-first International Joint Conference on Artificial Intelligence (IJCAI), 2009.

Sun, P., Liu, Z., Davidson, S. B., and Chen, Y., “Detecting and Resolving Unsound Workflow Views for Correct Provenance Analysis," 28th ACM SIGMOD International Conference on Management of Data (SIGMOD), 2009.

Sun, Q., Cui, L. and Pan, R., “Modeling and Analyzing Safety-critical Parallel-Series System Safety,” 2009 Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, Hong Kong, Dec. 8-11, 2009.

Sun, Q., Cui, L., Pan, R. and Chen, G., “Reliability Modeling and Analysis of Safety-Critical Manufacture

Villalobos, J.R. and Ahumada O., “The Development of Planning Tools for the Agribusiness Supply Chain,” Proceedings of the 2009 Industrial Engineering Research Conference, Miami, Fl, May 28 - June 1, 2009.

Wang, L., Bai, X., Zhou, L., Chen, Y., “A Hierarchical Reliability Model of Service-Based Software System,” Proceedings of the 33rd IEEE International Computer Software and Applications Conference (COMPSAC), pp. 199-208, 2009.

Wang, Z., Li, B., Hedgpeth, T., Haven, T., “Instant Tactile-Audio Map: Enabling Access to Digital Maps for People with Visual Impairment,” ACM Conference on Computers and Accessibility (ASSETS), 2009.

Wang, Z. and Li, B., “Human Activity Encoding and Recognition Using Low-level Visual Features,” IJCAI, July 2009.

Wang, Z. and Li, B., “Learning to Recommend Tags for On-line Photos,” International Workshop on Social Computing, Behavior Modeling, and Prediction, March 2009.

Woolf, B., Dragon, T., Arroyo, I., Cooper, D., Burleson, W., Muldner, K., (2009) “Recognizing and Responding to Student Affect,” Proceedings of 14th International Conference on Artificial Intelligence in Education, July 2009.

Xu, J., Lee, Y.H., Tsai, W.T., Li, W., Son, Y.S., Park, J.H., Moon, K.D., “Ontology-Based Smart Home Solution and Service Composition,” Proceedings of the 2009 International Conference on Embedded Software and Systems, PP. 297-304, 2009.

Xu, W., Zhang, X., and Ahn, G. J., “Towards System Integrity Protection with Graph-Based Policy Analysis,” Proceedings of Annual IFIP WG 11.3 Working Conference on Data and Applications Security, pp. 65-80, July 2009.

Yang, D., Misra, S., and Xue, G., “Joint Base Station Placement and Fault-TolerantTouting in Wireless Sensor Networks,” IEEE Global Communications Conference (Globecom’2009), Honolulu, HI, Nov. 30-Dec. 4, 2009.

Yang, D., Fang, X., Li, N., and Xue G., “A Simple Greedy Algorithm for LinkScheduling with the Physical Interference

System,” The Second International Conference on Intelligent Computation Technology and Automation (ICICTA), IEEE, Zhangjiajie, China Oct. 10-11, 2009.

Tang, L. and Liu, H., “Scalable Learning of Collective Behavior based on Sparse Social Dimensions,” The 18th ACM Conference on Information and Knowledge Management (CIKM'09), Hong Kong, Nov. 2-6, 2009.

Tang, L., Wang, X. and Liu, H., “Uncovering Groups via Heterogeneous Interaction Analysis,” IEEE International Conference on Data Mining (ICDM'09), Dec. 2009.

Tang, L., Chen, J., and Ye, J., “On Multiple Kernel Learning with Multiple Labels,” The Twenty-first International Joint Conference on Artificial Intelligence (IJCAI), 2009.

Thulasiraman, K., Javed, M., and Xue, G., “Circuits/Cutsets Duality and a Unified Algorithmic Framework for Survivable Logical Topology Design in IP-Over-WDM Optical Networks,” IEEE INFOCOM'2009, Rio de Janeiro, Brazil, pp.1026-1034, April 19-25, 2009.

Thulasiraman, K., Javed, M., Lin T., and Xue, G., “Logical Topology Augmentation for Guaranteed Survivability Under Multiple Failures in IP-over-WDM Optical Networks,” IEEE International Symposium on Advanced Networks and Telecommunication Systems (ANTS'2009), New Delhi, India, Dec.14-16, 2009.

Tsai, W.T., Chow, T., Chen, Y., Wei, X., “An Adaptive Management Framework for Service Brokers in Service-Oriented Architecture,” SEKE, pp. 280-285, 2009.

Tsai, W. T., Lee Y. H., Wiezel, A., Sun, X., and Li, W., “Ontology-Based Service Composition Framework for Syndicating Building Intelligence,” 4th International Workshop on Data Engineering Issues in E-Commerce and Services (DEECS), pp. 445-452, 2009.

Varsamopoulos, G., Banerjee, A., Gupta, S. K. S., “Energy Efficiency of Thermal-Aware Job Scheduling Algorithms under Various Cooling Models,” International Conference on Contemporary Computing (IC3), Noida, India, pp. 568-580, August 2009.

Venkatasubramanian, K., A. Banerjee, S. K. S. Gupta, “Green and Sustainable Cyber-Physical Security Solutions

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Agarwal, N., Liu, H. and Zhang, J., “A Study of Friendship Networks and Blogosphere,” Handbook of Research on Text and Web Mining Technologies, Information Science Reference (an imprint of IGI Global), pp. 646-669, 2009

Agarwal, N., Liu, H., Salerno, J.J. and Yu, P.S., “Searching for `Familiar Strangers' on Blogosphere,” in Next Generation of Data Mining, Kargupta, H., Han, J., Yu, P.S., Motwani, R. and Kumar, V. (Ed.) CRC Press, pp. 295-315, 2009.

Ahn, G.J., “Discretionary Access Control,” Ling Liu, M. Tamer Özsu (Eds.): Encyclopedia of Database Systems, Springer, pp. 864-866, 2009.

Arroyo, I., Muldner, K., Burleson, W., Woolf, B. and Cooper, D. (2009), “Designing Affective Support to Foster Learning, Motivation and Attribution,” Closing the Affective Loop in Intelligent Learning Environments Workshop, International Conference on Artificial Intelligence in Education, Brighton, England, July 2009.

Barrett, C., Bisset, K., Holzer, M., Konjevod, G., Marathe, M. and Wagner, D., “Engineering Label-Constrained Shortest-Path Algorithms,” In C. Demetrescu, A. Goldberg & D. S. Johnson, (Ed.), The Shortest Path Problem: Ninth DIMACS, Implementation Challenge, pp. 309-318, AMS and DIMACS, 2009.

Book Chapters & Other Publications

Model,” IEEE Global Communications Conference (Globecom’2009), NovHonolulu, HI. 30-Dec. 4, 2009.

Yang, L., Rong J., and Ye, J., “Online Learning by Ellipsoid Method,” The Twenty-Sixth International Conference on Machine Learning (ICML), 2009.

Yau, S. S., and Pohare, G. G., “An Efficient Approach to Situation-Aware Service Discovery in Pervasive Service Computing Environments,” Proceedings of 2009 International Conference on Ubiquitous Intelligence and Computing (UIC 2009), pp. 68-82, 2009.

Yau, S. S., Yin, Y. and An, H. G., “An Adaptive Model for Tradeoff between Service Performance and Security in Service-based Environments,” Proceedings of International Conference on Web Services (ICWS 2009), pp. 287-294, 2009.

Yau, S.S., and An, H. G., “Adaptive Resource Allocation for Service-Based Systems,” Proceedings of 1st Asia-Pacific Symposium on Internetware, pp. 98-1042009. 2009.

Wang, Z. and Li, B., “Human Activity Encoding and Recognition Using Low-level Visual Features,” IJCAI, July 2009.

Zengin A., and Sarjoughian, H.S., “Teaching and Training in Network Protocols with DEVS-Suite,” Symposium on Performance Evaluation of Computer and Telecommunication Systems, Istanbul, Turkey, pp. 104-111, July 2009.

Zhang, S., Chatha, K. S., and Konjevod, G., “Near Optimal Battery-Aware EnergyManagement,” Proceedings of International Symposium on Low Power Electronics and Design (ISLPED), San Francisco, CA, 2009 August 19-21.

Zhao, Z., Liu, H., Wang, J. and Chang, Y., “Biological Relevance Detection via Network Dynamic Analysis. The 7th Georgia Tech - ORNL Conference on Bioinformatics In- silico Biology: Genome Biology and Bioinformatics, 2009.

Zhou, Z., Parikh, D., Gudadhe, P. and Sen, A., “A Novel Mechanism to Dynamically Switch Speed and Accuracy in SystemC based Transaction Level Models,” 19th Great Lakes Symposium on VLSI, May, 2009.

Zhao, Z., Sun L., Yu, S., Liu, H., and Ye, J., “Multiclass Probabilistic Kernel Discriminant Analysis,” The Twenty-first International Joint Conference on Artificial Intelligence (IJCAI), 2009.

Zhao, Z., Wang, J., Sharma, S., Agarwal, N., Liu, H. and Chang, Y., “A Knoweldge Oriented Framework for Gene Selection,” 13th Annual International Conference on Research in Computational Molecular Biology (RECOMB), 2009.

Bridewell, W., Borrett, S. R., and Langley, P., (2009), “Supporting the Construction of Dynamic Scientific Models,” In A. Markman (Ed.), Tools for Innovation, New York: Oxford University Press, 2009.

Burleson, W., “Slow/Flow,” GreenBuild Symposium, ASU Art Museum, Tempe, AZ, November 2009.

Burleson, W., Jensen, C. N., Overholt, D., Skriver, A., and Lahey, B., “Pendaphonics,” NSF, Media Arts Science and Technology Workshop, University of California, Santa Barbara, January 2009.

Candan, K. S., and Maria Sapino, L., “Multimedia Data Querying,” Encyclopedia on Databases Systems, Özsu, M. Tamer; Liu, Ling (Eds.), ISBN: 978-0-387-49616-0, 2009.

Candan, K. S., Bimbo A. D., Griwodz C., and Jaimes A., “Introduction to the Special Section for the Best Papers of ACM Multimedia 2008,” TOMCCAP, Vol. 5, No. 3, pp. 18:1-18:3, 2009.

Candan, K. S., “Multimedia Data Mining Workflows: Efficiency and Effectiveness,” (Invited abstract) SIAM SDM Workshop on Multimedia Data Mining, 2009.

Chen, L., Liu C., Zhang, X., Wang S., Strasunskas, D., Tomassen, S. L., Rao, J., Li, W.S., Candan, K. S., Dickson, Chiu, K. W., Zhuang, Y., Ellis, C. A., and Kim, K.H., “Advances in Web and Network Technologies, and Information Management,” APWeb/WAIM 2009.

Das, E. S., Caragea, D., Hsu, W. H., Welch, S. M., Guhathakurta, S., Kobayashi, Y., Patel, M., Holston, J., Lant, T., Crittenden, J., Li, K., Konjevod, G. and Date, K., “Digital Phoenix Project: A Multidimensional Journey through Time,” In G. Steinebach, S. Guhathakurta & H. Hagen (Ed.), Visualizing Sustainable Planning, pp. 159-184, Springer, 2009.

Freed, A., McCutchen, D., Hansen, S., Overholt, A., D., Burleson, W., Jensen, C., and Mesker, A., “Musical Applications and Design Patterns for the Gametrak,” Sound and Music Computing Conference, July, 2009.

Gokalp, S., Ahmed, S., Vijayarajan, S., and Davulcu, H., “WikiSLE: Mapping Wikipedia Infobox Information onto

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Y. Pan, Nova Science Publishers, Inc., 2008, Chapter 3, pp. 97-115.

Pan, R., “A Gentle Introduction to the Analysis of Sequential Data,” The Mini-Paper Series of ASQ Statistics Division Newsletter, November 2009.

Pan, R., “Statistical Process Adjustment in Short-Run Manufacturing Processes: An Integrated SPC/EPC Approach,” VDM-Verlag, 2009.

Talamadupula, K., Benton, J., Schermerhorn, P., Kambhampati, S., and Scheutz, M., “Integrating a ClosedWorld Planner with an Open World Robot: A Case Study,” ICAPS 2009 Workshop on Bridging the Gap Between Action and Motion Planning, 2009.

Tsai, W.T., Sarjoughian, H.S., Li, W., and Sun, X., “Timing Specification and Analysis for Service-Oriented Simulation,” Annual Simulation Symposium, Proceedings of the Spring Simulation Conference, ACM Press, San Diego CA. (Runner up Best Technical Paper Award) March, 2009.

VanLehn, K. and Van de Sande, B., “Expertise in Elementary Physics, and How to Acquire it,” In K. A. Ericsson (Ed.) The Development of Professional Performance: Toward Measurement of Expert Performance and Design of Optimal Learning Environments, , Cambridge, UK: Cambridge University Press, pp. 356-378, 2009.

Verma, M. and Huang, D., “SeGCom: Secure Group Communication in VANETs,” IEEE Intelligent Vehicular Communications System (ICVS), 2009.

Villalobos, J.R., Chiu, Y.C., and Mirchandani, P.B., “Numerical Performance of Spatially and Temporally Scalable Dynamic Traffic Simulation and Assignment System MALTA”, TRB 88th Annual Meeting, Washington, D.C., January 11-15, 2009.

Villalobos, J.R., Maltz, A., Xue, L., Sánchez, O., and Vázquez, L. “Forecast and Capacity Planning for Nogales’ Ports of Entry.” Arizona Dept. of Transportation. 2009.

Wutzler, T., and Sarjoughian, H.S., “DEVS-based Simulation Interoperability,” Utilizing Information

Technology Systems Across Disciplines: Advancements in the Application of Computer Science, E. Abu-Taieh and A. El-Sheikh (Ed.), IGI Global, 2009, ISBN 978-1605666167.

Xu, X. and Li, B., “Chapter 8. Human Action Recognition in Video,” in Intelligent Video Surveillance: Systems and Technology, Ed. Y. Ma and G. Qian, CRC Press, ISBN: 978-1-4398-1328-7, December 2009.

Yau, S. S., Huang, D., Gao, W. and Yin, Y., “Mobile and Ubiquitous Computing”, Encyclopedia of Computer Science and Engineering, B. Wah (eds.), Vol. 3, pp. 1893-1904, 2009.

Yau, S. S., Mukhopadhyay, S., Davulcu, H., Huang, D., Bharadwaj, R., and Rapid, K. S. “Development of Adaptable Situation-Aware Service-based Systems, Service-Oriented Architecture in Industries.”Best Practices (Advances in Web Services Research) Liang-Jie Zhang (Editor), Information Science Publishing, (2009).

Zhang, B. and Xue ,G., “Broadcasting, Multicasting, and Geocasting,” Wireless Sensor Networks: A Networking Perspective, chapter 5, Jun Zheng and Abbas Jamalipour (eds.), pp. 145 -172, IEEE/Wiley Press, July 2009.

the Article Text,” IJCAI Workshop on User-Contributed Knowledge and Artificial Intelligence: An Evolving Synergy, pp. 44-46, 2009.

Kammerdiner, A., Boyko, N., Ye, N., He, J., and Pardalos, P.M., “Integration of Signals in Complex Biophysical Systems,” in M. J. Hirsch, P. M. Pardalos, and R. Murphey (eds.), Dynamics of Information Systems: Theory and Applications, Springer Lecture Notes in Control and Information Sciences, 2009.

Kim, S., Sarjoughian, H.S., and Elamvazhuthi, V., “DEVS-Suite: A Simulator for Visual Experimentation and Behavior Monitoring,” High Performance Computing & Simulation Symposium, Proceedings of the Spring Simulation Conference, San Diego, CA, ACM Press, March 2009.

Kim, S. “Observable Markov Decision Process,” In Computational Methodologies in Gene Regulator. ISI Global. 2010.

Konjevod, G., “Integer Programming Models for Flat Origami,” In R. J. Lang, editor, Origami 4, Proceedings of 4OSME: 4th International Conference on Origami Science, Mathematics and Education, pp. 207-216, 2009.

Leung, H., Zhang, C., Li, Q., Lau, R.W. H., Wah, B. W., El-Saddik, A., Candan, K. S., and Cheng I., “ACM 2009 Workshop on Ambient Media Computing (AMC'09) Overview,” ACM Multimedia 2009, 1143-1144, 2009.

Li, N., Stracuzzi, D., Cleveland, G., Langley, P., Konik, T., Shapiro, D., Ali, K., Molineaux, M., and Aha, D., “Learning Hierarchical Skills for Game Agents From Video of Human Behavior,” Proceedings of the IJCAI-09 Workshop on Learning Structural Knowledge from Observations, Pasadena, CA, 2009.

Mooney, J., and Sarjoughian, H.S., “A Framework for Executable UML Models,” High Performance Computing & Simulation Symposium,” Proceedings of the Spring Simulation Conference, San Diego, CA, ACM Press, March 2009.

Nagi, S. and Syrotiuk, V. R. “Hybrid Medium Access Control Protocols for Multihop Wireless Networks,'' in Medium Access Control in Wireless Networks, H. Wu and

Books Authored

Agarwal, N., and Liu, H., Modeling and Data Mining in Blogosphere, Morgan & Claypool Publishers, July 2009.

Liu, H., Salerno, J., Young, M., editors, Social Computing and Behavioral Modeling”, SBP09, Springer, 2009.

Wu, T., Blackhurst, J. (edited), Managing Supply Chain Risk and Vulnerability – Tools and Methods for Supply Chain Decision Makers, Springer, 2009.

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The ASU Vision -

To establish ASU as the model for a New American University, measured not by who we exclude, but rather by who we include; pursuing research and discovery that benefits the public good; assuming major responsibility for the economic, social, and cultural vitality and health and well-being of the community.

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Production Note: Sustainability is the simple idea that, as human beings, we place a high value on our own quality of life and that of future generations. To be sustainable, our actions must reflect what is important to us- qualities such as clean air, clean water, health, security and prosperity.

In keeping with the spirit of ASU President Crow’s Sustainability Initiative, we are producing a more “sustainable” Annual Report. The paper we are using is highly recycled, compared to both foreign and domestic grades, and the mill at which it is produced is a “clean mill” with a sustainability charter.

The Annual Report is published by the School of Computing, Informatics, and Decision Systems Engineering in the Ira A. Fulton Schools of Engineering at Arizona State University.

For more information about the School of Computing, Informatics, and Decision Systems Engineering, visit http://engineering.asu.edu/cidse on the Web.

For details about the programs or research highlighted in this magazine, please contact the editor or sources directly.

School of Computing, Informatics, and Decision Systems EngineeringIra A. Fulton Schools of EngineeringArizona State UniversityPO Box 878809Tempe, AZ 85287-8809

EditorVeronica D. Bräuchli

Contributing WritersRonald G. AskinVeronica D. BräuchliJoe Kullman

Design & ProductionVeronica D. Bräuchli

PhotographyVeronica BräuchliDeborah PaterickJessica SlaterTom Story

© Copyright 2010. Arizona Board of Regents. All rights reserved.Printed in the United States

The sunburst logo is a registered trademark, and the Arizona State Universityword mark is a trademark of the Arizona Board of Regents. All other brand, product names, company names, trademarks and service marks used herein are the property of their respective owners. Information in this document is for informational purposes only and is subject to change without notice.

For more information, please visit: engineering.asu.edu/cidse

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