Electrical and Computer Engineering · EEC 313 EEC 313 EEC 315 or 381 EEC 315 or 381 EEC 361 EEC 380 EEC 380 EEC 440, 450, 470 or 480 EEC 440, 450, 470 or 480 EEC 440, 450, 470 or

Electrical and Computer

Engineering

Graduate Studies and Research

September, 2008

1

Contents

1. Message from the Chairman’s Office 2

2. Cleveland State University 3

3. The Fenn College of Engineering and the Department of Electrical and Computer Engineering 3

4. The Degree of Master of Science in Electrical Engineering (MSEE) 3

5. The Degree of Master of Science in Software Engineering (MSSE) 5

6. Accelerated 5-year BS/MS Program 7

7. The Degree of Doctor of Engineering (DE) 7

8. Financial Aid 8

9. Application Information 8

10. Faculty and Staff 10

11. Electrical and Computer Engineering Graduate Courses 11

12. Instructional Laboratories 13

13. Research Laboratories 13

14. Research and Scholarly Projects 14

15. Recent Faculty Publications 23

No person will be denied opportunity for employment or education or subjected to discrimination in any project, program, or activity

because of race, color, religion, sex, sexual orientation, national origin, ancestry, age, disability, or Vietnam veteran’s status. 93-0112

3301-362

News Release

Recent Grant Awards

1/23/08: Dr. Sridhar received a grant from the National Science Foundation for funding of the project titled

"CAREER: Improving the Productivity of the Sensor Network Programmer" in the amount of $450,000.

5/9/08: Dr. Sridhar received from the National Science Foundation a supplemental funding for support of

Research Experiences for Undergraduates in the same project in the amount of $12,000.

6/30/08: Drs. Zhao, Sridhar, Yu, and Fu received a grant from the National Science Foundation for the project

titled ―MRI: Acquisition of Equipment to Establish a Secure and Dependable Computing Infrastructure for

Research and Education at CSU‖ in the amount of $150,000.

7/17/08: Dr. Yau received a grant from the American Diabetes Association for the project titled ―Stabilization

of Immobilized Enzymes for Implantable Glucose Monitoring Devices‖ in the amount of $100,000 for Year

One of an anticipated three year award.

7/22/08: Dr. Simon received a grant from the National Science Foundation for the project titled

―Biogeography-based Optimization of Multiple Related Complex Systems‖ in the amount of $295,879.

8/21/08: Dr. Yu received a grant from the National Science Foundation for his project titled ―Collaborative

Research: NEDG: Exploring Data Access in Internet-based Wireless Mobile Networks‖ in the amount of

$50,000.

Spin-off Company

Dr. Gao has been working with Jim Dawson, a former student of his, on a CSU spin-off company, ADRC

Technologies. On 8/12/08, it has announced that it had received a $1,000,000 venture capital to license a

patent-pending control technology developed by Dr. Gao. Plain Dealer, Cleveland’s major news paper,

reported this company and Dr. Gao’s lab on September 2, 2008.

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Message from Chairman’s Office

Since 1923 the Fenn College of Engineering has provided high quality

undergraduate and graduate engineering programs to students in Northeast Ohio

and beyond. Then in 1964 the College served as the nucleus around which the

State of Ohio established Cleveland State University with its six colleges.

Electrical and Computer Engineering (ECE) is the largest of Fenn College’s six

departments, and it offers two undergraduate degree programs (a BS in

Electrical Engineering and a BS in Computer Engineering), two master’s degree

programs (an MS in Electrical Engineering with an emphasis in either electrical

engineering or computer engineering, and an MS in Software Engineering), and

a Doctoral Degree program.

Besides teaching and conducting research in the more traditional areas of

communications, controls, power electronics, power systems, and digital systems, recent recruitment of faculty in

the areas of computer engineering, software engineering, MEMs, and sensors has greatly expanded ECE’s range

of courses, degrees, and research activities. In addition to its nine research laboratories, the Department’s faculty

play major roles as both leaders and researchers in the college-wide Center for Research in Electronics and

Aerospace Technology (CREATE), as well as in the state-funded multi-university and multi-business $23

million-dollar Wright Center for Sensor Systems Engineering.

Academic programs in the Department of Electrical and Computer Engineering emphasize a blend of practical

experience and academic achievement, and our students often have the opportunity to work on real problems in

industry, in academic research, and at the NASA Glenn Research Center.

ECE’s students come from within and beyond Northeast Ohio, and from many countries, thus collectively

representing a rich mixture of cultures and languages. Graduates of the ECE degree programs are frequently hired

by prominent companies and government agencies such as Rockwell Automation, GE, Motorola, Microsoft,

ABB, Qualcomm, and NASA.

If you have further questions, please contact the Department of Electrical and Computer Engineering at

216-687-2589 to schedule an appointment with our undergraduate or graduate academic advisors, or to talk to us

in general about our activities.

Fuqin Xiong, Ph.D.

Professor and Chair

[email protected]

3

Cleveland State University

Cleveland State University is a state-assisted, comprehensive,

metropolitan university. Cleveland State has about 16,000

students enrolled in 200 major fields of study at the

undergraduate and graduate levels as well as professional

certificate and continuing education programs.

By action of the Ohio General Assembly in 1964, Cleveland

State was created in 1965 to provide quality education at

reasonable cost to the citizens of northeast Ohio. Cleveland

State was created out of the buildings, faculty, staff, and

curriculum of the former Fenn College, a private institution of

2,500 students that was founded in 1923. Later, in 1969, the

Cleveland-Marshall College of Law was merged into

Cleveland State University. Since then, the university has

developed into a comprehensive university with eight colleges:

the College of Liberal Arts and Social Sciences, the College of

Science, the Nance College of Business Administration, the

College of Education and Human Services, the Fenn College of

Engineering, the Maxine Goodman Levin College of Urban

Affairs, the Cleveland-Marshall College of Law, and the

College of Graduate Studies.

Now CSU attracts students from many states in the nation and

many counties of the world.

Rhodes Tower at Cleveland State University

The Fenn College of Engineering

and the Department of Electrical

and Computer Engineering

Long before the founding of Cleveland State University, the

Fenn College of Engineering had established a reputation for

excellence as early as 1890 when the first engineering course

was offered by the forerunner of Fenn College. The college

consists of six departments: Chemical and Biomedical

Engineering, Civil and Environmental Engineering, Electrical

and Computer Engineering, Industrial and Manufacturing

Engineering, Mechanical Engineering, and Engineering

Technology. The Department of Electrical and Computer

Engineering is the largest of them, both in the numbers of

faculty and students.

The department offers both undergraduate and graduate

degrees, including Bachelor of Electrical Engineering (BEE),

Bachelor of Computer Engineering (BCE), Master of Science

in Electrical Engineering (MSEE, with emphasis in either

electrical engineering or computer engineering), Master of

Science in Software Engineering (MSSE), and Doctor of

Engineering (DE).

Our degree programs emphasize a blend of practical experience

and academic achievement. Our programs are interdisciplinary

and closely related to advances in technology.

Faculty research is often sponsored by farsighted organizations

and industries seeking to explore technology challenges.

Computer network security and privacy, high efficiency

modulation and coding techniques, advanced control

algorithms and techniques, embedded systems, micro electrical

and mechanical systems (MEMS), biomedical sensors and

wireless sensor networks are just a few of the areas recently

investigated. Students often have opportunity to work on real

problems in industry and at the NASA Glenn Research Center,

through funded researches or internships.

The Fenn College of Engineering

The Degree of Master of Science

in Electrical Engineering

(MSEE)

Program

The Master of Science in Electrical Engineering program

integrates theory and applications. Courses are typically

scheduled in the late afternoon and early evening to serve the

needs of both full-time and part-time students. The program is

suitable for students planning to continue their studies at the

doctoral level, as well as those who do not plan formal studies

beyond the master’s degree. Each student plans a program of

study in consultation with an advisor appointed by the

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Department of Electrical and Computer Engineering. The

program includes required courses and an integrated selection

of courses in the student’s field of interest. The following

areas of specialization are offered for graduate study and

research:

Communication Systems

Computer Systems

Control Systems

Power Electronics and Power Systems

Admission Requirements

Admission to the graduate program in electrical engineering is

open to qualified students with a baccalaureate degree in

engineering or science. A minimum baccalaureate grade-point

average of 3.0 is usually required. Applicants should make

arrangements to have official transcripts sent directly from their

undergraduate institutions to the Graduate Admissions Office.

Two letters of recommendation from individuals familiar with

the student's undergraduate or graduate work also are required.

The GRE general section is required if one or more of the

following conditions is true:

The undergraduate degree was awarded by a college or

university outside of the United States or Canada, or by a

Canadian institution not accredited by the Canadian

Engineering Accreditation Board of the Canadian Council

of Professional Engineers.

An unaccredited college or university awarded the

undergraduate degree.

The undergraduate degree was in a discipline unrelated to

electrical or computer engineering.

The student’s undergraduate cumulative grade-point

average is below 3.0.

The year of the baccalaureate degree precedes the date of

application to the College of Graduate Studies by more

than six years.

International students should refer to the section later in this

brochure for more information including testing requirements

that demonstrate English-language proficiency. If the GRE is

required, a minimum score at the 80th percentile on the

Quantitative section is normally required.

There is a preparatory program designed for students without a

sufficient background in electrical engineering.

Preparatory Program

Graduate students with undergraduate degrees not in

Electrical Engineering must complete the following list of

courses in addition to the requirements for the MSEE degree.

This program is intended to prepare students for graduate

courses in electrical engineering. Students who previously

took one or more equivalent courses can have the

corresponding requirements waived with prior authorization

by the by the academic/research advisor.

List of Preparatory Courses

General

Requirements Electronic

Technology

Bachelors

Graduates

Engineering

Graduates

(not Electrical

Engineering)

ESC 250 ESC 250 EEC 310 & 311 EEC 311 EEC 311 EEC 313 EEC 313

EEC 315 or 381 EEC 315 or 381

EEC 361 EEC 361 EEC 361

EEC 380 EEC 380

EEC 440, 450, 470 or

480 EEC 440, 450, 470

or 480 EEC 440, 450, 470

or 480

Prior to satisfactory completion of the entire Preparatory

Program, no course may be taken toward the fulfillment of the

graduate degree program unless authorized by the

academic/research advisor.

Graduate students working in the Digital Communications

Research Laboratory

Degree Requirements

Students in the MS in Electrical Engineering program may elect

a thesis option or a non-thesis option. All students, and

particularly those intending to pursue a doctoral degree, are

encouraged to elect the thesis option.

Each student in the program must meet all College of Graduate

Studies requirements and the following department

requirements.

Program Options

1. All students:

a. A maximum of eight credit hours of graduate course work

outside of the department may be applied toward the degree

with advance approval from the student's advisor.

b. The seminar course EEC 601 and 400-level courses may not

be applied for credit toward the MSEE degree.

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c. Students must take at least four course subjects from their

area of specialization including its core courses (see below

―Areas of specialization and their core courses‖).

d. Within the first four weeks of the first semester of his or her

masters program of study, a student must submit a plan of

study that requires the approval of the advisor or program

committee.

2. Thesis Option:

Minimum of 30 total credit hours, including six credit

hours of thesis, and at least two 600-level EEC courses.

Completion and defense of a thesis. A graduate committee

guides the thesis work.

Students must give an oral presentation of the thesis.

3. Non-thesis Option:

Minimum of 32 total credit hours, including at least three

600-level EEC courses.

Areas of specialization and their core courses

Communication Engineering

Core Courses EEC 512 Probability and Stochastic Processes (4 credits)

EEC 651 Digital Communications (4 credits)

Electives EEC 530 Digital Signal Processing (4 credits)

EEC 650 Signal Detection and Estimation (4 credits)

EEC 652 Error Control Coding (4 credits)

EEC 653 Information Theory (4 credits)

EEC 654 Mobile Communications (4 credits)

EEC 655 Satellite Communications (4 credits)

Control Engineering

Core Courses EEC 510 Linear Systems (4 credits)

Electives EEC 512 Probability and Stochastic Processes (4 credits)

EEC 640 Advanced Control System Design (4 credits)

EEC 641 Multivariable Control (4 credits)

EEC 642 System Identification (4 credits)

EEC 643 Nonlinear Systems (4 credits)

EEC 644 Optimal Control Systems (4 credits)

EEC 645 Intelligent Control Systems (4 credits)

EEC 646 Dynamics and Controls of MEMS (4 credits)

EEC 517 Embedded Systems (4 credits)

Power System and Power Electronics Engineering

Core Courses EEC 571 Power Systems (4 credits)

EEC 574 Power Electronics II (4 credits)

Electives EEC 510 Linear Systems (4 credits)

EEC 640 Advanced Control System Design (4 credits)

EEC 641 Multivariable Control (4 credits)

EEC 643 Nonlinear Systems (4 credits)

EEC 644 Optimal Control Systems (4 credits)

EEC 670 Power Systems Operation (4 credits)

EEC 671 Power Systems Control (4 credits)

EEC 673 Power Electronics & Electric Machines (4 credits)

Computer Engineering

Core Courses EEC 581 Computer Architecture (4 credits)

EEC 584 Computer Networks (4 credits)

Electives EEC 517 Embedded Systems ((4 credits)

EEC 580 Modern Digital Design (4 credits)

EEC 587 Rapid Digital System Prototyping (4 credits)

EEC 680 High Performance Computer Architecture (4 credits)

EEC 681 Distributed Computing Systems (4 credits)

EEC 683 Computer Networks II (4 credits)

EEC 684 Parallel Processing Systems (4 credits)

EEC 685 Modeling and Performance Evaluation of Computer

Systems

EEC 686 Advanced Digital Design (4 credits)

EEC 687 Mobile Computing (4 credits)

EEC 688 Secure and Dependable Computing (4 credits)

Exit Requirements

Thesis students must follow the Thesis and Dissertation Format

Guidelines, available on the College of Graduate Studies web

page:

http://www.csuohio.edu/gradcollege/students/thesis

Acceptance of the thesis by the thesis committee and the

passing of an oral defense of the thesis are required.

Non-thesis students must complete the course requirements.

For further information about the MS in Electrical Engineering

program, contact the department at (216) 687-2589.

The Degree of Master of Science

in Software Engineering (MSSE)

Program

The Master of Science in Software Engineering (MSSE)

program is the first of its kind in Ohio. It is a joint,

interdisciplinary program between the College of

Engineering’s Department of Electrical and Computer

Engineering (ECE) and the College of Business

Administration’s Department of Computer and Information

Science (CIS). The program is the successor to the Graduate

Certificate Program in Software Engineering and is intended

for both practicing professionals, as well as full-time students

in the areas of software engineering, computer engineering,

electrical engineering, computer science, or information

management. The program introduces students to current and

best practices in the engineering of software systems. A

http://www.csuohio.edu/gradcollege/students/thesis

6

distinguishing feature is its emphasis on the architecture,

design, quality, management, and economic aspects of software

engineering. Students take a project from start to completion,

learning the requirements of specific deliverables and the

development life cycle. Critical management issues, such as

risk assessment, project planning, and market analysis, are also

covered. The program exposes students to new technological

developments in an advancing field and how to apply their

knowledge in the workplace. Graduates meet the demands of

industry and address the needs of information technology

professionals, in general, and software engineers, in particular.

The Electrical and Computer Engineering Department recently

commissioned a new state-of-the-art Software Engineering

instructional laboratory, fully equipped with hardware and

software required to meet the needs of all courses in the

curriculum. The department also maintains the Software

Engineering Research Laboratory to support research. The lab

is equipped with desktop computers and servers connected via a

LAN. Students have the opportunity to work on cutting-edge

research in Software Engineering.

Two major computer facilities are used by the Department of

Computer and Information Science to support teaching and

research: a networked laboratory of basic and advanced

personal computers; and clusters of UNIX workstations,

including HP Itanium, Sun Sparc/Ultra, SGI Indy/O2, IBM

RS/6000, and Dell Linux workstations. These machines are

connected to Fast Ethernet, ATM, and/or FDDI LANs. All

laboratories are available to students for both course work and

research. The networks are connected to the University fiber

backbone which, in turn, is linked to national networks.


Admission to the program requires a minimum undergraduate

cumulative grade-point average of 3.0. The Graduate Record

Examination (GRE) and the Test of English as a Foreign

Language (TOEFL) are required for all international students.

The GRE is also required if one or more of the following

conditions is true:

The undergraduate degree was awarded by a college or

university outside of the United States or Canada, or by a




An unaccredited college or university awarded the

undergraduate degree.

The undergraduate degree was in a discipline unrelated to

software engineering, electrical engineering, computer

engineering, computer science, or information

management.

The student’s undergraduate cumulative grade-point

average is below 3.0.

The year of the baccalaureate degree precedes the date of


than six years.

Applicants with a bachelor’s degree in computer science and

computer engineering are encouraged to apply. All applicants

must demonstrate prerequisite knowledge in the following

areas:

Data structures and algorithms

Programming languages

Discrete mathematics

Probability and statistics

Organization

Computer networks

Operating systems

Applicants in related fields will also be considered for

admission, but they may be required to take additional

prerequisite courses. Credits earned for prerequisite courses

cannot be used to meet the MSSE requirements.

Graduate students working in the Software Engineering

Research Laboratory

Degree Requirements

Students in the MSSE program may elect a thesis option or a

non-thesis option. All students, and particularly those

intending to pursue a doctoral degree, are encouraged to select

the thesis option.

1. All students

The MSSE program is planned around a core of required

topics and a number of technical electives. All students

must complete the core courses listed below.

2. Thesis option students

Students are required to take 28 credit hours of course

work and 6 hours of thesis, for a total of 34 credit hours.

3. Non-thesis option students

Students are required to take 32 credit hours of course

work and 4 credit hours of Software Engineering Project

(EEC 626), for a total of 36 credit hours.

Core Courses

EEC 521 Software Engineering (4 credits)

EEC 623 Software Quality Assurance (4 credits)

CIS 634 Object-Oriented Software Engineering (4 credits)

CIS 635 Software Engineering Metrics, Economics, and

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Management (4 credits)

Elective Courses

CIS 650 Compiler Design (3 credits)

CSI 675 Information Security (3 credits)

EEC 517 Embedded Systems (4 credits)

EEC 522 Modeling and Analysis in Software Systems (4

credits)

EEC 525 Data Mining (4 credits)

EEC 530 Digital Signal Processing (4 credits)

EEC 581 Computer Architecture (4 credits)

EEC 623 Software Quality Assurance (4 credits)

EEC 624 Software Testing (4 credits)

EEC 625 Software Design and Architecture (4 credits)

EEC 626 Software Engineering Project (4 credits)

EEC 681 Distributed Computing Systems (4 credits)

EEC 684 Parallel Processing Systems (4 credits)

EEC 687 Mobile Networks (4 credits)

EEC 692 Special Topics in Software Engineering (4 credits)

EEC 695 Individual Problems In Software Eng. (1-4 credits)

EEC 699 Master’s Thesis (1-9 credits)

Only one of the following courses is permitted to count towards

degree requirements for the MSSE program:

CIS 620 Comparative Operating Systems Interfaces (4

credits

CIS 630 Enterprise Application Development (4 credits)

Exit Requirements

For thesis option students, acceptance of the thesis by the thesis

committee and passing an oral defense of the thesis are

required. Students must follow the Thesis and Dissertation

Format Guidelines, available from the College of Graduate

Studies.

For non-thesis option students, successful completion of EEC

626 Software Engineering Project is required.

Accelerated 5-Year BS/MS

Program

The Department of Electrical and Computer Engineering

offers an Accelerated Program that would enable students to a

earn a Bachelor of Electrical or Computer Engineering degree

as well as a Master of Science in Electrical Engineering in 5

years. Students are eligible to apply after they have completed

sixty credit hours in their undergraduate program, with at least

30 credit hours earned at CSU. Once admitted to the combined

program, the student may complete up to 12 credit hours of

graduate courses while enrolled in the undergraduate program.

These 12 credit-hours count towards both the undergraduate

degree and the graduate degree requirements, either as electives

or as requirements. For more details, please refer to the

department webpage http://www.csuohio.edu/ece/.

The Degree of Doctor of

Engineering

Program

The Doctor of Engineering is a college-wide program

administrated by the College Doctoral Program Director and

College Graduate Affairs Committee. The Doctor of

Engineering degree is granted in recognition of high

achievement in scholarship and an ability to apply engineering

fundamentals to the solution of complex technical problems.

Students are expected to pursue a broad program of study,

pass all prescribed examinations, and submit an innovative,

high-quality applied-engineering dissertation as described in

the section on Degree Requirements.


The applicant must hold a master’s degree in engineering or in

a related science discipline. At least one degree (baccalaureate

or master’s) must be in engineering. A minimum master’s

grade-point average of 3.25 is required

The GRE General section is required if one or more of the

following conditions pertains:

Student’s most recent engineering degree was awarded by

a college or university outside of the United States, or by a




Student’s graduate cumulative grade-point average is

below 3.25.

Year of the student’s master’s degree precedes the date of


than six years.

If the GRE is required, a minimum score at the 80th percentile

on the Quantitative section is usually required.

International students should refer to the later section in this

brochure for information on testing requirements to

demonstrate English-language proficiency.

Degree Requirements

The doctoral degree includes the following specific

requirements:

1. A minimum of sixty (60) credits beyond the master’s

degree. These credits must include:

A minimum of thirty (30) credits of course work, which

should include minimum of six (6) credits of doctoral core

courses (select two of the following):

ESC 702 Applied Engineering Analysis I (4 credits)

ESC 704 Applied Engineering Analysis II (4 credits)

ESC 706 Applied Engineering Analysis III (4 credits)

or, subject to prior approval by the Program (Graduate

Affairs Committee), ESC 794 Selected Topics in

8

Engineering Science (1 to 4 credits)

A minimum of eight (8) credits of graduate

non-engineering courses related to the student’s area of

study and approved by the advisory committee and

Engineering College Graduate Affairs Committee

(GAC)

A minimum of twelve (12) credits of 700-level

engineering electives.

Four (4) credits can be any graduate level course

approved by the advisor.

A minimum of thirty (30) dissertation credits.

2. Satisfactory completion of the Qualifying Examination.

3. GAC approval of the Dissertation Proposal Approval Form

and satisfactory completion of the doctoral Candidacy

Examination.

4. Completion of a doctoral Dissertation and successful final

oral Defense examination.

5. Compliance with all requirements of the College of

Graduate Studies for regular graduate student status and

graduation.

For details of the degree requirements, refer to the web page:

http://graduatestudies.csuohio.edu/catalog/?View=entry&Entr

yID=273

A graduate student working in the Secure and Dependable

Systems Laboratory

Financial Aid

Research assistantships are provided through sponsored

research activities; the number available at a given time is

dependent on the research activity within the College.

Interested students are encouraged to discuss the availability of

assistantships and potential research projects with the program

director, department chairs, and faculty as soon as possible.

Teaching assistantships are provided by individual departments

to provide assistance with classroom and laboratory courses.

Responsibilities can include conducting classroom recitation

sessions, setting up laboratory experiments, tutoring students in

class work, grading, monitoring tests, and related activities. For

further information, students should contact the respective

department chairs.

All graduate teaching assistants who are international students

are required to pass an English Language Proficiency

Examination, which is administered by the University Testing

Center. Students are expected to work a maximum of twenty

hours per week on their assistantship assignments unless fewer

hours are specified under the terms of their contracts. A limited

number of graduate tuition grants also are available for which

students are expected to work ten hours per week.

Application Information

Domestic and Permanent Resident Students

A completed application should be submitted not less than six

weeks prior to the term of desired entrance. To facilitate the

admission process, it is strongly recommended that applicants

use the Apply NOW online application system at

http://www.csuohio.edu/gradcollege/admissions/apply.html.

An application form may be downloaded from

www.csuohio.edu/gradcollege/. The processing time for paper

application forms is longer than that for online applications.

At the time of application, applicants should request that every

college or university previously attended send one official

transcript to the Office of Graduate Admissions (the Graduate

Admissions Office will obtain official Cleveland State

University transcripts).

The Department of Electrical and Computer Engineering

requires the applicant to submit two letters of recommendation.

The applicant needs to submit GRE scores if the undergraduate

GPA is less than 3.00.

A $30 non-refundable application fee is required.

Graduate degree-seeking applicants who are U.S. citizens and

permanent residents should submit all application materials and

a check or money order drawn on a U.S. bank for the graduate

admission application fee, directly to:

Office of Graduate Admissions

Parker Hannifin Hall, Room 227

Cleveland State University

2121 Euclid Avenue

Cleveland, Ohio 44115-2214

Telephone: (216) 687-5599

Toll Free: 1-888-CSU-OHIO (ask for the Graduate Admissions

Office)

Fax: (216) 687-5400

E-mail: [email protected]

International Students

An international student is an individual who holds a visa while

http://www.csuohio.edu/gradcollege/admissions/apply.html

http://www.csuohio.edu/gradcollege/

9

enrolled at Cleveland State University.

English Language Proficiency

The University requires all non-native English speakers to

demonstrate proof of English-language proficiency. Any

individual who has earned a bachelor’s (or higher) degree from

a U.S. institution, in which the primary language of instruction

is English, is not required to take an English language

proficiency examination. The options and minimum score

requirements are as follows:

1. TOEFL (Test of English as a Foreign Language) score of at

least 17 in Reading, Speaking, and Listening and a

minimum score of 14 in writing on the Internet-based

TOEFL (iBT), or 197 for the computer-based TOEFL (525

on the paper-based test ). Please note that the Educational

Testing Service (ETS) will not provide test takers or third

parties (including Cleveland State University) with

TOEFL reports for test scores that are over two years old.

If required, the TOEFL must be taken again if the

applicant's most recent scores are over two years old, OR

2. Pass the IELTS test (International English Language

Testing System) with a minimum score of 6.0; OR

3. Advanced level with a grade of B or better and a

COMPASS ESL score of 80 or higher; OR

4. Pass the MELAB (Michigan English Language

Assessment Battery) with a minimum score of 77; OR

5. Achieve a score of C (Pass) or better on the A and O levels

of the General Certificate of Education (GCE or GCSE )

Test; OR

6. Achieve a score of C (Pass) or better on the Cambridge

Certificate of Advanced English (CAE); OR

7. Complete English language studies (Level 112) from any

of the ELS Language Centers; OR

8. Complete course work at a C or better level for the

equivalent of the CSU freshman English requirements at a

U.S. regionally accredited college or university, OR

9. Receive a Program Certificate of Completion from

Cleveland State University’s Intensive English Language

Program, indicating successful completion of the program.

Application Deadlines for International Students

Fall Semester—May 15

Spring Semester—November 1

Summer Term—March 15

International applicants must submit:

1. Application form,

2. All official original-language transcripts,

3. Official translation of non-English language transcripts,

4. Proof of all degrees earned (diplomas),

5. TOEFL or alternative English Language Proficiency test

score report,

6. Appropriate standardized admission examination,

7. Financial verification documentation, and

8. Application fee (non-refundable).

Submit all documents to:

Center for International Services and Programs (CISP)

Cleveland State University, Keith Building, Room 1150

1621 Euclid Avenue

Cleveland, Ohio 44115-2214 USA

Phone: (216) 687-3910

FAX: (216) 687-3965

E-mail: [email protected]

Students are encouraged to apply online at:

http://www.csuohio.edu/offices/international/admissions/

An application form may be downloaded from

http://www.csuohio.edu/offices/international/admissions/form

s/form.pdf. The processing time for paper application forms is

longer than that for online applications.

Financial Requirements

Living expenses in the U.S. are usually higher than

international students expect. Minimum total expenses for an

academic year (fall and spring semester) are estimated to be

approximately $21,000-$25,000., of which $10,000 -$14,000

are for tuition and fees and $11,000 for living expenses. For

details refer to

http://www.csuohio.edu/offices/international/admissions/expe

nses.html

All international students must supply to the Center for

International Services and Programs proof of adequate

financial resources before I-20 (F-1) or IAP-66 (J-1) documents

can be issued to obtain the appropriate visa to enter the United

States to study. For further details, contact the Center for

International Services and Programs at (216) 687-3910 or go to

its website at

http://www.csuohio.edu/offices/international/admissions/finan

cial_requirements.html.

The only financial aid for which international students may

qualify are graduate assistantships and graduate tuition grants.

Students should contact the department directly for details.

Health and Medical Requirements

International students attending Cleveland State University are

required to present results of a tuberculosis test before being

permitted to register at the University. All international

students on an F-1 or J-1 visa must show proof of adequate

health insurance before they are allowed to register. For further

details, please contact the Center for International Services and

Programs at (216) 687-3910 or visit its website at

http://www.csuohio.edu/offices/international/.

http://www.csuohio.edu/offices/international/admissions/expenses.html

http://www.csuohio.edu/offices/international/admissions/expenses.html

10

Faculty and Staff

Professors

Charles K. Alexander, Ph.D., IEEE

Fellow

Software Environments, Digital

System Design Using Register,

Transfer Languages, Nonlinear

Systems

Vijay K. Konangi, Ph.D.

Digital Systems, Computer

Architecture and Computer Networks

Dan J. Simon, Ph.D., IEEE Senior

Member

Control Systems, Signal Processing,

Neural Networks, Fuzzy Logic

F. Eugenio Villaseca, Ph.D.

High-Power Electronics, Power

Systems, Systems Control

Fuqin Xiong, Ph.D., IEEE Senior

Member

Digital Communications, Mobile

Communications, Satellite

Communications, Efficient

Modulation and Coding Schemes

Associate Professors

Pong P. Chu, Ph.D.

Digital Systems, Computer

Architecture and Computer Networks

Yongjian Fu, Ph.D.

Software Engineering, Data Mining

Zhiqiang Gao, Ph.D.

Systems and Control

Murad Hizlan, Ph.D.

Robust Communications, Spread

Spectrum, Multiple Access

Communications

Ana Stankovic, Ph.D.

Electric Machines, Power Electronics,

Digital Control Systems

11

Siu-Tung Yau, Ph.D.

Bioelectronics and Molecular

Electronics

Chansu Yu, Ph.D.

Mobile Computing, Mobile Ad Hoc

Networks and Embedded Systems

Assistant Professors

Lili Dong, Ph.D.

Control Systems and MEMS

Nigamanth Sridhar, Ph.D.

Software Engineering, Distributed

Systems, Component-oriented

Systems, Wireless Sensor Networks

Wenbing Zhao, Ph.D.

Fault-Tolerant Computing, Computer

and Network Security, Peer-to-Peer

and Grid Computing, Performance

Evaluation of Distributed Systems

Ye Zhu, Ph.D.

Network Security and Privacy,

Computer Networking and

Distributed Systems, Pervasive

Computing

Adjunct Professors

Allen Morinec, Ph.D.

Affiliation: First Energy

Power systems

Louis Nerone, Ph.D.

Affiliation: General Electric

Power electronics

Robert R. Romanofsky, Ph.D.

IEEE Senior Member,

Affiliation: NASA Glenn Research

Center

Phased Array Antennas, Microwave

Applications of Ferroelectric Films,

Superconductivity, Cryogenic

Electronics, Deployable Antennas

Secretary

Adrienne Fox

Secretary for Graduate Student Affairs

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Electrical and Computer

Engineering Graduate Courses

EEC 510 Linear Systems

EEC 512 Probability and Stochastic Processes

EEC 517 Embedded Systems

EEC 521 Software Engineering

EEC 522 Software Systems Modeling and Analysis

EEC 525 Data Mining

EEC 530 Digital Signal Processing

EEC 561 Electromagnetic Compatibility

EEC 571 Power Systems

EEC 574 Power Electronics II

EEC 580 Modern Digital Design

EEC 581 Computer Architecture

EEC 584 Computer Networks

EEC 587 Rapid Digital System Prototyping

EEC 592 Special Topics in Electrical Engineering

EEC 601 Graduate Seminar

EEC 602 Electrical Engineering Internship

EEC 621/721 Internet Software Systems

EEC 623 Software Quality Assurance

EEC 624 Software Testing

EEC 625 Software Design and Architecture

EEC 626 Software Engineering Project

EEC 640/740 Advanced Control System Design

EEC 641/741 Multivariable Control

EEC 642/742 System Identification

EEC 643/743 Nonlinear Systems

EEC 644/744 Optimal Control Systems

EEC 645/745 Intelligent Control Systems

EEC 646/746 Dynamics and Control of MEMS

EEC 650/750 Signal Detection and Estimation

EEC 651/751 Digital Communications

EEC 652/752 Error Control Coding

EEC 653/753 Information Theory

EEC 654/754 Mobile Communications

EEC 655/755 Satellite Communications

EEC 670/770 Power Systems Operation

EEC 671/771 Power Systems Control

EEC 673/773 Power Electronics and Electric Machines

EEC 680/780 High Performance Computer Architecture

EEC 681/781 Distributed Computing Systems

EEC 683/783 Computer Networks II

EEC 684/784 Parallel Processing Systems

EEC 685/785 Modeling and Performance Evaluation of

Computer Systems

EEC 686/786 Advanced Digital Design

EEC 687/787 Mobile Computing

EEC 688/788 Secure and Dependable Computing

EEC 692 Special Topics in Software Engineering


EEC 695 Individual Problems in Software Engineering

EEC 696 Individual Problems in Electrical Engineering

EEC 699 Master’s Thesis

EEC 701 Graduate Seminar

EEC 723 Software Quality Assurance and Testing

EEC 782 Computer Networks I

EEC 783 Computer Networks II

EEC 784 Parallel Processing Systems

EEC 785 Modeling and Performance Evaluation of Computer

Systems

EEC 786 Advanced Digital Design

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EEC 787 Mobile Computing

EEC 788 Secure and Dependable Computing


EEC 796 Independent Study in Electrical Engineering

EEC 802 Electrical Engineering Internship

EEC 895 Doctoral Research

EEC 899 Doctoral Dissertation

Instructional Laboratories

The Electrical and Computer Engineering Department

maintains the following laboratories for instructional purposes:

1. Communications and Electronics Laboratory—fully

equipped to conduct experiments in analog and digital

electronics and analog and digital communications, such as

analog modulation and demodulation (AM and FM),

digital modulation and demodulation (ASK, PSK, FSK),

phase-locked loops, and baseband transmission.

2. Power Electronics and Electric Machines

Laboratory— equipped with line-frequency single- and

three-phase converters, and switch-mode converters,

which in combination with synchronous, induction, and

DC machines allow for the experimental study of

feedback-controlled motor drives.

3. Embedded Systems Laboratory— equipped with PCs

for writing and implementing micro-controller-based

assembly code software, which allows for the experimental

study of real-time interrupt handling, analog-to-digital

conversion, serial port reception/transmission, data

acquisition, communicating with external devices, and

other issues associated with embedded systems.

4. Control Systems Laboratory— equipped to conduct

experiments and projects in real-time data acquisition and

control, including the capability for modeling and

computer control of electromechanical and liquid-level

systems.

5. Digital Signal Processing Laboratory— equipped to

conduct experiments in real-time DSP, using A/Ds, D/As,

and DSP boards.

6. Distributed Computing Systems Laboratory—

equipped with Pentium Xeon dual-processor servers,

Pentium Dual-core workstations, and a number of laptops.

The research is focused on studying the security,

dependability, and concurrency of enterprise-distributed

computing systems and platforms, such as CORBA and

Web services.

7. Mobile Computing Laboratory— equipped with a

number of laptops, more than ten PDAs (iPAQs), a dozen

wireless sensor nodes, and high performance network

simulators. Studies energy efficiency, capacity, mobility

support, and interoperability issues in wireless networks,

such as mobile ad hoc networks, wireless sensor networks,

wireless mesh networks, and pervasive computing

systems.

8. Digital Systems Laboratory— equipped with logic

analyzers, testing equipment, prototyping boards, and

workstations running synthesis and simulation software. It

is used to conduct basic digital circuit experiments, as well

as to design, create prototypes, and test large systems.

9. Computer Networks Laboratory— equipped with

sixteen workstations and one server computer running the

Linux operating system, four Cisco routers, and numerous

switches. This lab is used to conduct various computer

network experiments and projects, for example, ARP,

DHCP, Internet routing, TCP performance evaluation, and

IP multicast. It is fully reconfigurable, a luxury that few

universities provide.

10. Software Engineering Laboratory— equipped with

sixteen workstations and one server. The workstations run

both Windows XP and Ubuntu Linux operating systems.

The workstations run a variety of software program suites

such as Microsoft Visual Studio, Rational Rose, and

Eclipse that are used in a number of Software Engineering

courses.

11. Communications Senior Design Laboratory—

Equipped with electronics and communications

instruments (such as digital oscilloscopes, arbitrary

waveform and signal generators, power supplies,

multimeters, spectrum analyzers, logic analyzers and

power meters), personal computers, simulation software

packages, tools, protoboards and components, this

laboratory can accommodate up to five independent groups

working on a variety of senior design projects in

communications.

12. Network Security and Privacy Laboratory—

configured to emulate real network defense systems. The

lab can equip students with real world experience on

defending security attacks launched from networks and

preserving privacy.

Research Laboratories

1. Applied Control Research Laboratory— equipped to

conduct joint research projects with industry, giving

students the opportunity to apply state-of-the-art

technology in real-world problem solving.

2. Biosensors and Bioelectronics Research Laboratory—

equipped to conduct research projects in biosensors and

bioelectronics.

3. Digital Communication Research

Laboratory—equipped with electronics and

communications instruments, high-speed workstations,

and computer-simulation packages (such as

Matlab-Simulink) to conduct research projects in digital

modulations, error-control codes, satellite

communications, mobile wireless communications, and

spread-spectrum communications.

4. Digital Systems Research Laboratory— equipped with

work-stations and testing equipment to do prototyping and

implement research projects.

5. Embedded Control Systems Research Laboratory—

focuses on the theoretical development and real-time

implementation of control and signal processing

14

algorithms. Theoretical directions that are of particular

interest include optimal control, Kalman filtering,

H-infinity control and estimation, neural networks, and

fuzzy logic.

6. Power Electronics and Electric Machine Research

Laboratory—funded by the National Science Foundation,

the NASA Glenn research Center and the Fenn College of

Engineering. It consists of seven state-of-the-art test

benches such as: Modular Lab-Volt Power Electronics and

Electric Machines Training System, DSPACE controller

boards, PWM converters, transducers, sensors, induction,

synchronous and DC machines as well as instrumentation.

It is fully equipped to conduct research in the power area.

7. Power Systems Research Laboratory— fully equipped

to conduct research projects in power engineering,

requiring personal computers, workstations, or mainframe

computers.

8. Mobile Computing Research Laboratory— fully

equipped with a variety of mobile systems including PDAs

(iPAQs), wireless sensor nodes, and software radio

platforms to conduct research on energy efficiency,

network capacity, mobility support, and interoperability

issues in mobile ad hoc networks, wireless sensor

networks, wireless mesh networks, and pervasive

computing systems.

9. Network Security and Privacy Research Laboratory—

equipped to conduct cutting-edge research in network

security and privacy–preserving systems in different

network settings including both wired networks and

wireless networks.

10. Secure and Dependable Systems Laboratory— the

mission of this laboratory is to advance the state of the art

of fault– and intrusion–tolerance techniques for the next

generation secure and dependable computer systems.

11. Advanced Engineering Research Laboratory— fully

equipped to conduct research in digital control,

communications, and power electronics applications.

12. Software Engineering Research Laboratory— this

laboratory has the following equipment for conducting

research in Software Engineering and Sensor Networks:

Six PCs (Pentium) running Windows and Linux connected

by a private 100 megabit switched Ethernet, with a server

(Xeon) acting as NAT to the Internet via the University’s

network; Approximately forty Tmote Sky motes, ten

MicaZ motes, and a few Imote2 and Sun SPOT motes. In

addition, there are about twenty basic sensor boards

suitable for prototyping. The lab also has several

custom-built sensor boards for conversion to standard

serial-port devices, such as GPS or other data logging

units; A Pentium-class workstation hosts a research web

server, which is suitable for distributing software, and

disseminating research results.

13. Laboratories at the NASA Glenn Research Center for

students supported by NASA.

Research and Scholarly Projects

Project Title: Design and Prototyping of High Performance

Control Systems for MEMS Gyroscopes

Sponsor: Ohio ICE

Research Team: Dr. Lili Dong (faculty; PI), David Avanesian

(graduate student), Qing Zheng (doctoral student).

Project Description: MEMS gyroscopes are one of the most

important types of silicon-based angular rate sensors on a

micrometer or millimeter scale with micro-resolution. The

higher performance requirements of the MEMS vibratory-rate

gyroscopes in aerospace and military applications require the

development of advanced control technologies to achieve

performance robustness against modeling uncertainties and

disturbance attenuation. This project produced an advanced

control strategy and theoretical proof of the controller on the

MEMS gyroscope. The simulation results verified the

robustness and effectiveness of the controller.

Dr. Dong (left) and graduate student David Avanesian

presented High Performance Control Systems for MEMS

Gyroscopes at Rockwell Automation Fair in Chicago, Nov.

2007

Project Title: Dynamics and Control of Flywheel Energy

Storage System

Sponsor: Department of Energy

Research Team: Dr. Lili Dong (faculty), Baixi Su-Alexander

(graduate student), Rick Rarick (graduate student), Silu You

(graduate student)

Project Description: A flywheel is an ideal electromechanical

energy storage device for its fast charging and discharging

capabilities, high-energy efficiencies, and relatively long life

span. The key component of the flywheel system is a

high-speed rotor that can transfer energy to and from an energy

source (such as solar array). However, the high speed is rarely

achieved because of potentially damaging rotor vibrations at

critical speeds. The objective of the project is to develop a

novel control strategy for effectively reducing the magnitude of

the vibration of the rotor, increasing the speed of the rotor

steadily, compensating all defects and perturbations that affect

the behavior of the flywheel system, and achieving a high

performance of the flywheel in a robust fashion.

15

Project Title: Implementation of an Active Disturbance

Rejection Controller on MEMS Rate Sensors

Sponsor: University Research Development Fund and CSU

Summer Undergraduate Research Grant

Research Team: Dr. Lili Dong (faculty; PI), David Avanesian

(graduate student), Anthony Roberts (undergraduate student),

Harry Olar (undergraduate student)

Project Description: This project addresses the issue of

degraded performance of Micro-Electro-Mechanical Systems

(MEMS) rate sensors (or gyroscopes) due to fabrication

imperfection and disturbances from a control perspective. By

implementing the Active Disturbance Rejection Control

(ADRC), a novel control strategy, in both analog and digital

circuits on the MEMS rate sensor, the project is focusing on

producing a prototype of a high-performance and

ready-to-be-packed control electronic system for the MEMS

rate sensor.

Project Title: Load Frequency Control of a Multiple-area

Power System

Sponsor: Department of Electrical and Computer Engineering

Research Team: Dr. Lili Dong (faculty), Yao Zhang (graduate

student), Gagandeep Kataria (Undergraduate student in honor

program)

Project Description: This project focuses on the design of a

novel control system to reduce the area control error (the

weighted summation of load frequency error and power

exchange error) to be zero for a multiple-area power system.

The comparison study between the novel controller and

existing controllers (such as PID) is also developed during the

project.

Project Title: Dynamics and Control of Micro-accelerometers

and Electrostatic Actuators


Research Team: Dr. Lili Dong (faculty), Edward Jason

(graduate student), Kai Zhang (graduate student)

Project Description: The project is focusing on the design of

an advanced controller to greatly increase the operating range

of the electrostatic actuator and to reduce the noise of the

micro-accelerometer (a MEMS inertial acceleration sensor)

while compensating the mechanical imperfections of the

actuator and sensor.

Project Title: Investigation of Alternative Solvers for

Dynamic Solutions

Sponsor: ABB, Inc.

Research Team: Yongjian Fu (faculty; PI), Ajitha Vemula

(graduate student)

Project Description: The Dynamic Solution (DS) system of

ABB uses gPROMS as the only solver. In this project, we

investigate other solvers, specifically, DYMOLA.

Project Title: XML Based Input Generator for Dynamic

Solutions

Sponsor: ABB, Inc.

Research Team: Yongjian Fu (faculty; PI), Sridhar Ungarala

(faculty, co-PI), Ajitha Vemula (graduate student), Aditya

Akella (graduate student)

Project Description: Dynamic Solutions (DS) is a software

system developed by ABB. DS’s main capability is process

modeling including simulation, optimization, and estimation.

This project looks into issues related to the subject of using

other solvers in DS. More specifically, this project implements

an XML-based input generator for simulation.

Project Title: Active Disturbance Rejection Control

Sponsors: NASA, various industrial partners, and a venture

capital firm.

Research Team: Zhiqiang Gao (faculty; PI), Anthony Roberts,

Qing Zheng and Gang Tian (graduate students), Dapeng Ye

(Visiting Scholar)

Project Description: The aim of our research in the last 15

years has been to find solutions to real industrial control

problems, not just pure theory. These problems often have a

large amount of unknown dynamics and they are in general

nonlinear and time varying, making them almost insolvable in

the existing model-based framework of modern control theory.

At the 2004 American Control Conference we organized a

forum to discuss the big theory-practice gap. In simpler terms,

our approach is to use a very simple model (say, a double

integrator for 2nd order systems) for the controller design and

treat any discrepancy between this model and the plant

(unknown, nonlinear, and time-varying) as disturbance to be

estimated and rejected. The result is a high performance control

system that is tuned by adjusting only one parameter: the loop

bandwidth. We have tested this algorithm on countless

applications with great success. For more details, see

http://academic.csuohio.edu/cact/publications_new.htm

Dr. Gao (second from left) and his team at the CACT (Center

for Advanced Control Technologies)

Project Title: Correlation between Microscopic/Macroscopic

Surface Errors with Antenna Gain for an Inflatable Antenna

Sponsor: NASA Glenn Research Center

Research Team: Murad Hizlan (faculty), Bryan Welch

(graduate student)

Project Description: The research project investigates the

correlation between the antenna gain and the three types of

physical errors on the surface of an inflatable parabolic

antenna: the microscopic errors (bumps/dents on the antenna

http://academic.csuohio.edu/cact/publications_new.htm

16

surface), wrinkles that are present near the seams of the

antenna, and the Hencky curve (stretching of the antenna near

the rim).

Project Title: Optimization of the Level Sizes for Multi-Level

Generalized Spread Spectrum


Research Team: Murad Hizlan (faculty; PI), Noah Deetz

(graduate student)

Project Description: Five-level generalized spread spectrum

utilizes the spreading sequence levels of −1, −a, 0, +a, and +1.

The focus of this research project is to determine the optimum

value of a (between 0 and 1) for the lowest worst-case error

probability.

Project Title: Multiple Access Applications for Generalized

Direct Sequence Spread Spectrum


Research Team: Murad Hizlan (faculty; PI), Indrasena Reddy

(graduate student)

Project Description: Generalized spread spectrum has been

shown to be highly beneficial compared to ordinary spread

spectrum for robust communications where the worst-case

performance is important. This project investigates the

possible advantages and disadvantages of using generalized

spread spectrum for multiple access applications.

Project Title: Coded Generalized Spread Spectrum Using

Convolutional Codes


Research Team: Murad Hizlan (faculty; PI), Madan Venn

(graduate student)

Project Description: It has been shown that generalized

spread spectrum performs better than ordinary spread

spectrum, especially so when used with coding. This project

considers a number of convolutional codes and compares the

performance of ordinary and generalized spread spectrum as

various parameters such as code rate, constraint length,

memory depth, interleaving depth, interleaving type, etc. are

varied.

Project Title: Space Telecommunications Radio System

Waveform Development for TDRSS S-Band Single Access

Return Service


Research Team: Murad Hizlan (faculty; PI), Jennifer Nappier

(NASA colleague)

Project Description: The focus of this project is the

implementation of the TDRSS S-Band single access return

radio service through the use of software defined radio

technology.

Project Title: Application of the Ruze Equation For Inflatable

Aperture Antennas


Research Team: Murad Hizlan (faculty), Bryan Welch

(graduate student)

Project Description: Inflatable parabolic antennas illustrate

three physical errors from the ideal paraboloidal shape. The

focus of this project is the investigation of the microscopic

errors (thought of as Gaussian shaped bumps/dents on the

antenna surface) as they relate to the Ruze Equation.

Project Title: Receiver Design and Development for NASA

GRC Quantum Communicator


Research Team: Murad Hizlan (faculty; PI), Binh Nguyen

(NASA colleague)

Project Description: This project accomplishes the design,

development and implementation of a receiver and

synchronization system for NASA GRC Quantum

Communicator through the use of FPGA technology.

Project Title: Approximation of the Complementary Error

Function Q(X)


Research Team: Murad Hizlan (faculty), Fady Alghusain

(graduate student)

Project Description: This research project presents and

investigates a number of numerical approximations for the

Gaussian tail probability function Q(x) that are better than the

existing approximations in the literature.

Project Title: Performance Analysis and Synchronization of

Low-Power Optical Communication Systems Using

quantum-entangled and time-coincident photons


Research Team: Murad Hizlan (faculty), John Lekki (NASA

colleague), Binh Nguyen (NASA colleague)

Project Description: This project is about experimental

analysis of the error performance of NASA GRC Quantum

Communicator under various conditions, and the investigation

of receiver synchronization techniques when the received

signal consists of only a few photons per transmitted symbol.

Project Title: Generation of Generalized Signature Sequences


Research Team: Murad Hizlan (faculty; PI), Hariharan

Ramaswamy (graduate student)

Project Description: The focus of this research project is the

investigation of the theoretical properties and performance

analysis of generalized (multi-level) signature sequences, and

their implementation using FPGA technology.

Project Title: A Worst-Case Comparison of Generalized and

Ordinary DSSS in a Multipath Environment


Research Team: Murad Hizlan (faculty; PI), Konstantin

Matheou (graduate student)

Project Description: This research project focuses on the

worse-case performance of uncoded generalized spread

spectrum compared with ordinary spread spectrum in multipath

channels.

Project Title: Coded Generalized Direct Sequence Spread

Spectrum with Specific Codes


Research Team: Murad Hizlan (faculty; PI), Manohar Vellala

(graduate student)

Project Description: Theoretical benefits of coded

generalized spread spectrum over coded ordinary spread

spectrum have been shown. The focus of this research is to

17

consider a number of specific block codes and compare the

worse-case performances of the two systems through the use of

simulations.

Project Title: An Asymptotic Analysis of the Worst-Case

Performance of Coded Generalized Direct Sequence Spread

Spectrum


Research Team: Murad Hizlan (faculty; PI), Sree Krishna

Upadhyayula (graduate student)

Project Description: This research project compares the

worse-case performance of coded generalized and coded

ordinary spread spectrum from a theoretical viewpoint through

the derivation of asymptotic error exponents.

Project Title: Further Generalization of the Unique Spreading

Sequence in Generalized Direct-Sequence Spread Spectrum


Research Team: Murad Hizlan (faculty; PI), Ranga

Kalakuntla (graduate student)

Project Description: Three-level generalized spread spectrum

has been shown to be superior to ordinary spread spectrum for

robust communications. This research project investigates a

further generalization of spread spectrum using five-level

signature sequences and shows additional performance gains.

Project Title: Performance Analysis of a Low-Power Optical

Communication System Using Quantum-Entangled Photons


Research Team: Murad Hizlan (faculty; PI), John Lekki

(NASA colleague), Binh Nguyen (NASA Colleague)

Project Description: This research project is about a

theoretical study of the error performance of an extremely

low-power optical communication system using

quantum-entangled photons.

Project Title: Biogeography-based Optimization of Multiple

Related Complex Systems

Sponsor: National Science Foundation

Research Team: Dan Simon (faculty; PI), Jeffrey Abell

(General Motors; co-PI), Mehmet Ergezer (graduate student),

other students TBD

Project Description: The purpose of this collaboration is to

develop a new population-based algorithm for the optimization

of multiple related complex systems. The complex systems that

we optimize are sets of requirements that are specified for

multiple related product designs. The optimization algorithm

that we develop is biogeography-based optimization (BBO),

which is based on the mathematics of biogeography.

Biogeography is the study of the distribution, migration,

speciation, and extinction of biological species. Biogeography

is nature’s way of distributing species, and is analogous to

general problem solutions. A good solution to some problem is

analogous to a habitable island, and a poor solution represents

an island that is less friendly to life. Good solutions resist

change more than poor solutions, just as habitable islands resist

immigration due to their many species. Good solutions share

features with poor solutions, just as habitable islands share

species with other islands via emigration. This means that poor

solutions accept new features from good solutions. This

addition of new features to poor solutions may raise the quality

of those solutions. This is the essence of BBO.

Project Title: Robotic Swarms

Sponsor: CSU Undergraduate research grant

Research Team: Dan Simon (faculty; PI), Rick Rarick

(graduate student), Maria Baker (undergraduate student), Chris

Churavy (undergraduate student), Samarth Mehta

(undergraduate student), Ishu Pradhan (undergraduate student),

Steven Shanfelt (undergraduate student), Nina Sheidegger

(undergraduate student)

Project Description: This project focuses on map making. A

group of robots are released into a building with a layout that is

unknown to the robots. The robots are equipped with various

sensors, including ultrasonic sensors for obstacle detection, a

camera, radio transceivers, wall-following sensors, a

gyroscope, wheel encoders, and a LCD display. Each robot

takes a different path through the building, communicating its

navigation information via radio link to a base station, which

consists of a PC. The base station fuses the data from the robots

in order to tell each individual robot how to proceed through the

building. A map-building computer program is implemented on

the base station.

Project Title: Sinusoid Motor Drive Compensation

Sponsor: Arcus Technology

Research Team: Dan Simon (faculty; PI), Dawei Du (graduate

student)

Project Description: Manufacturing errors in the construction

of step motors cause their resolutions to be less than advertised,

and also leads to velocity ripple. A customized motor drive

characterizes and corrects for these manufacturing errors to

result in more accurate stepping and smoother velocity.

Project Title: A One-Dimensional Scanning Algorithm for

Robotic Applications

Sponsor: Cleveland State University

Research Team: Dan Simon (faculty; PI), Chandresh

Chaudhari (graduate student)

Project Description: A new algorithm for pattern recognition

is developed and implemented for a mobile robot. The project

uses a PIC microcontroller to run a robot. A robot-mounted

camera transmits video to a PC using wireless communication.

The pattern recognition algorithm runs on the PC to recognize

door numbers as the robot traverses a hallway.

18

Dr. Simon (right) and his Robotic Swarms team

Project Title: Optimal Robot Trajectory Planning Using

Evolutionary Algorithms


Research Team: Dan Simon (faculty; PI), Bhanu Gouda

(graduate student)

Project Description: An optimal trajectory planning approach

using evolutionary methods is developed for an industrial

manipulator. Minimum energy consumption is used as a

criterion for trajectory generation, and is achieved using genetic

algorithms as an optimization tool. Cubic splines are used to

generate the trajectory between the intermediate points of the

path. The effectiveness of the proposed method is verified

through simulations.

Project Title: Optimal Filtering for Stream Flow Forecasting


Research Team: Dan Simon (faculty; PI), Vinay Kantamneni

(graduate student)

Project Description: Streamflow forecasting models are

developed and optimal filtering techniques are applied to

update soil moisture values and to improve streamflow

predictions. Kalman and H-infinity filters are used to update

daily estimates of soil water content. Updated soil moisture

storages are then used to predict daily streamflow. The output

from the estimators is compared with the model output without

state updating, the simulation results from the National

Weather Service, and the observed streamflow. It is seen that

Kalman and H-infinity filtering provide improved streamflow

forecasting compared with existing methods.

Project Title: A Microcomputer-Controlled Calorie Monitor

for Human Powered Vehicles


Research Team: Dan Simon (faculty; PI), Gary Siegmund

(graduate student)

Project Description: The amount of calories expended during

an exercise interval is a primary indication of training intensity

and effectiveness. If the exercise apparatus is a human powered

vehicle, the potential exists for effectively measuring several

parameters of the training session. Unfortunately, existing

monitoring systems are either invasive or inaccurate. This work

describes the design of an energy monitoring system that

displays the cumulative calories expended during a riding

interval, without requiring attachments to the body of the

participant, or modification of the vehicle.

Project Title: Fuzzy Logic Control for an Autonomous Mobile

Robot


Research Team: Dan Simon (faculty; PI), Vamsi Mohan Peri

(graduate student)

Project Description: An autonomous wall-following robot is

designed. The wall-following controller is a two input, two

output system. The inputs are two proximity measurements to

the wall, and the outputs are the speeds of the two rear wheels.

For the embedded fuzzy logic controller, the behavior must be

approximately encoded for the target processor, and then

downloaded to the chip for execution. The target system is a

small mobile robot equipped with an embedded microcontroller

based on a Microchip microcontroller. The robot is driven by

two independent servo motors. Three ultrasonic range sensors

are used by the robot: two on one side (the controller inputs)

and one in the front (for emergency stop in case of an obstacle).

Since all the control circuitry and computation are embedded in

the robot, it is self contained and travels without the need for

any data link to external processors such as a PC. The detection

of a wall by the sensors activates the controller which attempts

to align the robot with the wall at a specified reference distance.

Once aligned, the robot follows the wall and attempts to

maintain alignment by compensating for lateral drift.

Project Title: Health Parameter Estimation of Turbofan

Aircraft Engine

Sponsor: NASA

Research Team: Dan Simon (faculty; PI), Srikiran Kosanam

(graduate student)

Project Description: Aircraft health monitoring has been a

challenging task for over decades. In turbofan jet engines the

parameters which describe the health of the engine cannot be

measured explicitly. One possible solution to this problem is

Kalman filter. The traditional Kalman filter is optimal as long

as the modeling of the plant is accurate. We show a way of

linearizing the jet engine model so that theoretically proven

estimation techniques can be applied to this problem. We

present the application of Kalman filter to health parameter

monitoring of the gas turbine engine. It is shown that the

standard Kalman filter will not be robust enough if there are

uncertainties in the modeling of the plant. A new filter is

developed which addresses the uncertainties in the process

noise and measurement noise covariances. A hybrid gradient

descent algorithm is used to tune the new filter gain. This filter

is then implemented for the health parameter estimation. The

results show significant decrease in the estimation error

covariance. It is shown that advanced search algorithms like

genetic algorithms prove to be superior to hybrid gradient

descent in searching for better minima.

Project Title: Input Output Harmonic Elimination of the

PWM Boost Type Rectifier under Unbalanced Operating

Condition


Research Team: Ana V. Stankovic (faculty), Ke Chen

(graduate student)

19

Project Description: This project focuses on the power quality

issues related to the input output harmonic elimination of the

front end rectifier under severe unbalanced operating

conditions. Control algorithm for harmonic elimination has

been implemented by using DSPACE development system in

the NSF funded Power Electronics and Electric Machines

Laboratory at Cleveland State University.

Dr. Stankovic working in her NSF funded state-of-the-art

Power Electronics and Electric Machine Research Laboratory

Project Title: Discrete Dimming Ballast for Linear

Fluorescent Lamps

Sponsor: General Electric Lighting

Research Team: Ana V. Stankovic (faculty; PI), Haiyan Wang

(graduate student),

Project Description: This project focuses on development

of discrete dimming ballast for linear fluorescent lamps. A

novel dimming control circuit is combined with a ballast

module for multiple lamps to realize three discrete lighting

levels. The newly proposed ballast is more efficient, more

flexible and more reliable compared with conventional step

dimming or on/off control methods. Experimental work has

been done in General Electric laboratory in Nela Park.

Project Title: Analysis and Implementation of a Dimmable

Low Frequency Electronic HID Ballast


Research Team: Ana V. Stankovic (faculty; PI), Prerana

Kulkarni (graduate student)

Project Description: This project focuses on the analysis,

design and implementation of dimmable low frequency

electronic High-Intensity-Discharge (HID) ballast, using the

variable dc link voltage with constant switching frequency

technique. Where previously this dimming technique was used

for high frequency ballasts, in this application, the technique is

applied to low frequency square wave electronic HID ballast, to

dim high pressure sodium (HPS) lamp. Low frequency

operation ensures an acoustic resonance free operation, low

switching losses, better efficiency and thus low cost.

Experimental work has been done in General Electric Lighting.

Project Title: Analysis and Implementation of Ripple Current

Cancellation Technique for Electronic Ballasts


Research Team: Ana V. Stankovic (faculty; PI), Marius

Marita (graduate student)

Project Description This project focuses on the analysis and

design of a universal input 150-Watt Boost Power Factor

Correction Converter with the Ripple Current Cancellation

Circuit. An EMI Filter designed for the 150-Watt Boost PFC

circuit with the Ripple Current Cancellation is designed to

satisfy the Federal Communication Commission (FCC)

regulations. Experimental work has been done in GE laboratory

in Nela Park.

Project Title: Analysis and Implementation of a Synchronous

Buck Converter Used As an Intermediate Stage for HID Ballast


Research Team: Ana V. Stankovic (faculty; PI) Sergey

Vernyuk (graduate student)

Project Description: This project focuses on the analysis of a

Synchronous Buck Converter, used as a second stage (which

controls the current through the lamp, and consequently, the

lamp power) in three-stage High-Intensity Discharge (HID)

ballast. This new application of the Synchronous Buck

converter for a medium-power lighting ballasts improves

efficiency of HID ballasts by operating the converter in a

modified critical-conduction mode. Simulation has been done

in General Electric Lighting.

Project Title: Analysis and Design of the Complementary

Class D Self-Oscillating Inverter for Compact Fluorescent

Lamps


Research Team: Ana V. Stankovic (faculty; PI) Wei Xiong

(graduate student)

Project Description: This project focuses on a detailed

analysis of L-Complementary output voltage clamping

self-oscillating class D inverter. Accurate time domain models

in the steady state and during starting have to be obtained to

improve the design process. Experimental work has been done

in GE Lighting.

Project Title: Predictable Monitoring for Networked

Embedded Computing

Sponsor: Ohio ICE ($24,062)

Research Team: Nigamanth Sridhar (faculty; PI), Hamza A.

Zia (graduate student)

Project Description: Networks of embedded sensors and

actuators need to function and provide service to users even in

the presence of failures. This project produced software failure

detectors for enabling such fault-tolerant execution.

Project Title: Open Middleware Architecture for

Sense-and-Respond Systems

Sponsor: Wright Center for Sensor Systems Engineering

Research Team: Nigamanth Sridhar (faculty; PI), Trisul

Kanipakam (graduate student), Manohar Bathula (graduate

student), Dheeraj Bheemidi (graduate student)

Project Description: Wireless sensor networks are typically

built on a ―per-application‖ basis. However, some aspects of

application design transcend application boundaries. This

project is focused on the design of reusable, generic

20

middleware systems for networked sense-and-respond systems.

Project Title: Improving the Productivity of the Sensor

Network Programmer


Research Team: Nigamanth Sridhar (faculty; PI), William P.

McCartney (graduate student), Adam Dutko (graduate student),

Trisul Kanipakam (graduate student)

Project Description: Wireless sensor networks (sensornets)

have the potential to enable an unprecedented amount of

visibility and control over the world around us. There are major

obstacles to realizing this potential, however: the methods and

tools available for constructing sensornet software are too

brittle, and require specialized training to use effectively. This

CAREER project is investigating ways to overcome these

obstacles. In particular, this project involves creating

programming and middleware artifacts, specification and

reasoning techniques, and toolsets that can be easily used by

―non-programmer‖ specialists -- researchers outside of the field

of computing.

Project Title: Improving Work Zone Safety using Sensor

Networks

Sponsor: CSU Undergraduate research grant

Research Team: Nigamanth Sridhar (faculty; PI), Wenbing

Zhao (faculty; co-PI), Ishu Pradhan (undergraduate student),

Mehrdad Ramazanali (undergraduate student), Lawrence Edem

(undergraduate student), Joe Gotschall (undergraduate

student), Nilesh Patel (undergraduate student)

Project Description: The focus of this research is to

investigate novel uses for wireless sensor network systems as

enablers for improving safety for motorists and workers in

temporary construction work zones. The main goal of the

research is to study the causes of crashes in and near

construction work zones.

Project Title: The Modulation Study for Self-Modulating

Phased Array Antenna


Research Team: Fuqin Xiong (faculty; PI), Robert

Romanofsky (adjunct faculty, collaborator at NASA GRC),

Huaihai Guo (graduate student),

Project Description: The modulation study for

self-modulating phased array antenna studied the performance

of incorporating modulator onto a phased array antenna so that

the satellite transceiver mass can be reduced. The results will be

very useful in NASA GRC’s endeavor to reduce the

transceivers on all types of the spacecrafts.

Project Title: Channel Estimation and Equalization Techniques

for MASK-OFDM in Fading Channels


Research Team: Fuqin Xiong (faculty; PI), Vijay Nomula

(graduate student, 2006)

Project Description: This research deals with channel

estimation and equalization for the newly proposed

MASK-OFDM. The existing frequency-domain channel

estimation and equalization methods for QAM-OFDM are

analyzed and investigated for their applicability in the case of

MASK-OFDM. It turns out that these frequency-domain

techniques are not applicable to the case of MASK-OFDM. As a

result, time-domain channel estimation and equalization

methods are proposed for MASK-OFDM and their performance

is compared with the frequency-domain methods of

QAM-ODFDM.

Project Title: Carrier Frequency Synchronizer Design and

Evaluation for MASK-OFDM System


Research Team: Fuqin Xiong (faculty; PI), Ying Yang,


Project Description: In this work, then investigation is focused

on the design of the carrier frequency synchronizer and its

performance for MASK-OFDM system. Two efficient carrier

frequency synchronization algorithms have been proposed by

Shi & Serpedin and Morelli & Mengali used for general OFDM

system that is based on IFFT/FFT pair. We modified these two

algorithms to suit to our system. Especially, we improved the

first algorithm to extend the frequency acquisition range. These

two schemes are based on the transmission of a training symbol

composed of L identical parts in the frequency domain.

Frequency estimation performance and comparison of these

two proposed methods are presented in an additive white

Gaussian noise (AWGN) and multipath COST-207 and Jakes

frequency-selective channel.

Project Title: Symbol Timing Synchronizer for ASK-OFDM in

AWGN and Fading Channels


Research Team: Fuqin Xiong (faculty; PI), Sai Mantripragada,


Project Description: This research focused on the

synchronization for newly proposed ASK-OFDM. The existing

Schmidl-Cox, Coulson, Menn Zeng Bhargava, algorithms have

been implemented for the ASK-OFDM system. Shi-Serpedin

algorithm has been justified for ASK-OFDM system to

withstand very low SNRs in AWGN, Rician, Rayleigh and

Multi-path fading (COST207 model) channels.

Project Title: OFDM Modem Design and Evaluation for MSL

Extension Channel


Research Team: Fuqin Xiong (faculty; PI), Huaihai Guo


Project Description: In this project, DCT-Based

MASK-OFDM (Discrete Cosine Transform-based M-ary

Amplitude Shift Keying Orthogonal Frequency Division

Multiplexing) and MC-CDMA (Multi-Carrier Code Division

Multiple Access) for future MLS (Microwave Landing System)

extension band communication system are modeled and

evaluated.

Project Title: Coding for Coherent ASK-OFSM Systems


Research Team: Fuqin Xiong (faculty; PI), Mukul V. Gandhi


Project Description: The purpose of this research is to analyze

performances of convolutional encoding with hard-decision

Viterbi decoding or soft-decision Viterbi symbol decoding and

TCM to ASK-OFDM, particularly soft-decision Viterbi symbol

21

encoding, their metrics and constellation design in TCM. So the

etrics

Project Title: Stabilization of Immobilized Enzymes for

Implantable Glucose Monitoring Devices

Sponsor: American Diabetes Association

Research Team: Siu-Tung Yau (faculty, PI), Research

assistant (TBD)

Project Description: In the USA, 20.8 million people have

diabetes. More than 200 000 Americans die from this chronic

disease annually. Effective treatment of diabetes requires

accurate monitoring of glucose in the patient’s blood. The

approach of continuous-glucose-monitoring could provide

diabetics with a complete glucose profile with instantaneous

fluctuations throughout the day, allowing optimized insulin

therapy and metabolic control, which drastically reduce the risk

of chronic complications. To implement this approach, the

glucose sensor needs to be implanted in the patient’s body to

facilitate periodic and frequent glucose measurement. One of

the main obstacles for the development of implantable glucose

biosensors is the inherent instability of the enzyme

immobilized on the electrodes of the sensors as the sensing

element. When immobilized on an electrode and subjected to

in-vivo conditions, enzymes will become unstable and will lose

their sensing ability, making long-term implant tasks

unrealistic. This project is proposed to overcome this crucial

obstacle using a spatial confinement approach. Enzymes will be

assembled into spatially confining fabricated on electrodes,

which will increase the stability of the enzymes and enable

them to perform sensing tasks under long-term in-vivo

conditions. Prototype glucose biosensors and glucose biofuel

cells, which could be used as the power supply for implanted

sensors, will be constructed and tested under long-term in-vitro

condition. The successful completion of the project will be a

substantial advance toward making implantable

glucose-sensing devices, which can be further developed for

the artificial pancreas.

and constellation design in TCM.

Project Title: Enzyme-Based Electrochemical Biosensor


Research Team: Siu-Tung Yau (faculty, PI), Yongki Choi

(graduate student)

Project Description: In this project, redox enzymes are

immobilized on silicon wafers. Several immobilization

techniques are used to preserve the activities of the enzymes.

The enzyme-immobilized silicon wafer is used as the sensing

electrode in the construction of biosensors used to detect

chemical substances that are important in biomedicine, human

health, food processing, environment protection and national

security. A particularly emphasized study is the construction of

biosensors for implantable applications. Here, glucose oxidase,

the enzyme that is used as the sensing element in commercial

glucose sensors, is immobilized on silicon wafers, whose

performance as sensing electrode is tested under long-term in

vivo conditions.

Project Title: Nanoparticle-Based (Enzymeless) Sensors



(graduate student)

Project Description: The newly-discovered colloidal silicon

nanoparticles are used as the sensing element for non-enzyme

sensors. With this kind of sensor, we have demonstrated direct

electrochemical amperometric detection of different forms of

sugar (glucose, fructose and lactose), dopamine, hydrogen

peroxide and phenol. In the sensing of glucose, the sensor

showed exclusive detection of glucose in the presence of

interfering species within the physiological concentration

ranges of these substances. The sensor also showed negligible

electrode poisoning and detection stability over a 14-week

period of repeated use. A comparison between the glucose

detection characteristics of the nanoparticle-based sensor and

those of the enzyme-based sensor shows an enhanced

amperometric response of the particle sensor. Our results reveal

several advantages of using the silicon nanoparticle in

bioelectronics. This particle-based sensor is being developed

for applications in food processing, biomedicine and

environmental monitoring.

Project Title: Biofuel Cells



(graduate student)

Project Description: In this project, the two criteria that

determine the performance of a biofuel cell, namely, high

output current and enzyme stability are addressed. High current

density is obtained with enhanced electron transfer at the

enzyme-electrode interface using different immobilization

techniques, which also enhance the stability of enzymes. We

have constructed double-compartment biofuel cell operating on

ethanol and single-compartment (membrane-less) biofuel cell

operating on glucose. The objective of this project is to realize

miniature biofuel cells that can be used as implantable power

supplies.

Dr. Yau working in the Bio-sensor and Bio-electronics

laboratory

Project Title: Functional Materials for Molecular Electronics



(graduate student)

Project Description: Here, we prepare novel bulk electronic

materials using nanoscale objects as active centers. Recently,

we have prepared a two-phase composite material by mixing

the polymer Nafion with an electroactive molecule, potassium

ferricyanide. The current-voltage characteristic of the material

22

shows a metal-like electrical conduction about zero-bias. The

conductance is found to be proportional to the concentration of

the potassium ferricyanide molecule and temperature. A

conductance peak is present at a low bias voltage, providing a

region of negative differential resistance. Other nanoscale

objects such as semiconductor quantum dots and proteins are

also used as active substances in our studies.

Project Title: Performability in Mobile Wireless Networks


(Program: MRI or Major Research Instrumentation, Project:

Acquisition of Equipment to Establish a Secure and

Dependable Computing Infrastructure for Research and

Education at Cleveland State University)

Research Team: Wenbing Zhao (faculty; PI), Chansu Yu

(faculty; co-PI), Nigamanth Sridhar (faculty; co-PI), Saehoon

Kang (post-graduate researcher), Bogju Lee (post-graduate

researcher)

Project Description: Mobile networks are vulnerable to the

presence of extreme conditions such as network partitions (due

to high node speeds) and strong interference (in urban

environments). As existing link and network layer solutions do

not take these extreme conditions into consideration, it is

critically important to know whether a mobile network is still a

dependable subnet under such situations. The goal of this

project is to investigate the performance of mobile wireless

networks in highly stressed environment and to seek novel

methods to survive the stress and achieve a reasonable

performance.

Project Title: Experimental Wireless Networking Using

Software Radio Systems

Sponsor: Fenn College of Engineering (equipment support)

Research Team: Chansu Yu (faculty; PI), Saikrishna

Gumudavally (graduate student), Sachin Hirve (graduate

student), Robert Fiske (graduate student)

Project Description: Software radio (also known as software

defined radio or SDR) is a 21st century-version of the crystal

radio. It can tune to any frequency band including TV and

AM/FM broadcast, Wi-Fi and Bluetooth wireless

communication channels, and CDMA and GSM cellular

networks by running new software without requiring additional

hardware. This project uses USRP (Universal Software Radio

Platform) and GNU Radio software package to experiment and

explore design issues in future radio systems.

Project Title: Improving Work Zone Safety Using Sensor

Networks

Sponsor: CSU Undergraduate Research Grant

Research Team: Nigamanth Sridhar (faculty; PI), Wenbing

Zhao (faculty; co-PI), Chansu Yu (faculty; co-PI), Pong Chu

(faculty; co-PI), Yongjian Fu (faculty; co-PI), Ishu Pradhan

(undergraduate student), Mehrdad Ramazanali (undergraduate

student), Lawrence Edem (undergraduate student), Joe

Gotschall (undergraduate student), Nilesh Patel (undergraduate

student)

Project Description: The focus of this research is to

investigate novel uses for wireless sensor network systems as

enablers for improving safety for motorists and workers in

temporary construction work zones. The main goal of the

research is to study the causes of crashes in and near

construction work zones.

Project Title: Byzantine Fault Tolerance for Long Running,

Non-deterministic Applications (from 9/1/2008)

Sponsor: National Science Foundation, Major Research

Instrumentation Grant

Research Team: Wenbing Zhao, Honglei Zhang, Hua Chai

Project Description: In this project, we aim to develop

efficient techniques to ensure strong replica consistency and the

long-term dependability of Web-based mission-critical systems,

including Web services and online database systems. In

particular, we focus on three sub-projects: (1) We propose

novel methods to reconcile the seemingly conflicting

requirements of strong replica consistency and the

independence of each individual replica in a Byzantine

fault-tolerant (BFT) system. For many applications, including

security services, it is ultimately important for each replica to

make decisions based on its own, possibly randomized, input.

The method proposed in this project will be urgently needed for

these types of applications to maintain strong replica

consistency while preserving their robustness. (2) We will

investigate the possibility of using software transactional

memory (STM) as a way to ease the programming complexity

and to increase the degree of concurrency obtainable for large

scale replicated distributed systems. (3) We propose a new

migration-based proactive recovery scheme that achieves a

very small vulnerability window, and hence, helps achieve

long-term dependability of mission critical systems. To assess

the practicality of our techniques, and to gain better insight on

the problems, we plan to build a prototype of a BFT

infrastructure and to perform empirical experimental study in

both local and wide area network environments.

Dr. Zhao (center) and his computer engineering research team

Project Title: Secure and Dependable Web Services (from

7/1/2006)

Sponsor: Cleveland State University, Faculty Research

Development Award

Research Team: Wenbing Zhao, Honglei Zhang, Hua Chai,

Bo Chen, and Srikanth Dropati

Project Description: The Web services platform has been

adopted by virtually all businesses and government

organizations as the distributed computing platform of choice

23

due to its strong interoperability, loose-coupling, and

extensibility design. In this project, we focus on developing

fault and intrusion tolerance frameworks that have the

following characteristics: (1) the design of the dependability

mechanisms are conformant to the design principles of Web

services; (2) the mechanisms are backward compatible with

WS-standards; (3) the frameworks incur minimum overhead

and require minimum changes to the application programs. The

frameworks support both generic Web services and specific

Web services applications such as transactional applications

and wireless Web services applications.

Project Title: A Reservation-Based Extended Transaction

Protocol (completed)

Sponsor: Cleveland State University, Faculty Startup Award

Research Team: Wenbing Zhao (in collaboration with Dr.

Louise Moser and Dr. P. Michael Melliar-Smith at UCSB)

Project Description: Existing extended transaction protocols

typically rely on compensating transactions to handle

exceptional conditions. In this project, we identified a number

of issues with compensation-based extended transaction

protocols, and proposed a reservation-based extended

transaction protocol that addresses those issues. Moreover, we

introduced a set of properties, analogous to the ACID

properties of traditional transactions that are more appropriate

for business activities that span multiple enterprises. In addition,

we compared our reservation protocol with other extended

transaction protocols for coordinating business activities, and

carried performance analyses.

Project Title: Performance Evaluation of Reliable Multicast

Strategies in 802.11 Networks (completed)

Sponsor: Cleveland State University, Faculty Startup Award

Research Team: Wenbing Zhao and Maulik Bhatt

Project Description: 802.11 networks have many differences

comparing with wired Ethernet-based networks. Many group

communication systems, which provide both reliable and

ordered multicast, have been designed and optimized for the

Ethernet-based networks. We investigated the performance of

these systems in 802.11 networks to see which strategy works

best in this new environment.

Project Title: Traffic Analysis and its Countermeasure

Sponsor: CSU Faculty Development Grant

Research Team: Ye Zhu (faculty; PI), Anil Vikram (graduate

student), Yuanchao Lv (graduate student)

Project Description: In this project, we will study timing

analysis methodologies and develop a framework for the

systematic assessment of countermeasures against traffic

analysis attacks.

Project Title: Application of Wireless Sensor Networks


Research Team: Ye Zhu (faculty; PI), Anil Vikram (graduate

student)

Project Description: In this project, we will study applications

of wireless sensor networks in environment monitoring and

optimal deploytment and packet routing in wireless sensor

networks to support these applications.

Recent Faculty Publications

1. C. Alexander and Matthew Sadiku, Fundamentals of

Electric Circuits, Second Edition, McGraw-Hill, January

2003.

2. C. Alexander and Donald Christiansen, Standard

Handbook of Electronic Engineering, Fifth Edition,

McGraw-Hill, 2005.

3. C. Alexander and Matthew Sadiku, Problem Solving

Made Almost Easy, McGraw-Hill, March 2000.

4. C. Alexander and Matthew Sadiku, Fundamentals of

Electric Circuits, Third Edition, McGraw-Hill, December

2005.

5. J. Watson, A. Brush, L. Penkowski, and C. Alexander ,

―Teaching the Communication Aspects of KCIDE

(Knowledge Capturing Integrated Design Environment),‖

The Conference Proceedings of International Professional

Communication Conference, Limerick, Ireland, July 2005

6. J. Watson and C. Alexander , ―Communication Aspects of

ProSkills: A Non-Technical Skill Development and

Enhancement Program For Engineers,‖ The Conference

Proceedings of International Professional Communication

Conference, Limerick, Ireland, July 2005

7. Y. Fu, D. Simon, and C. Alexander , ―A Knowledge

Capturing Integrated Design Environment For A Course In

Electrical Circuits,‖ Proceedings of the 2005 American

Society for Engineering Education Annual Conference &

Exposition, Portland, June 2005.

8. P. Chu, RTL Hardware Design Using VHDL: Coding for

Efficiency, Portability, and Scalability, Wiley-IEEE Press,

2006.

9. P. Chu, FPGA Prototyping by VHDL Examples: Xilinx

Spartan-3 Version, John Wiley, 2008.

10. P. Chu, FPGA Prototyping by Verilog Examples: Xilinx

Spartan-3 Version, John Wiley, 2008.

11. L. Dong, Q. Zheng, and Z. Gao, ―The Design and

Implementation of a Novel Control System for the

Conventional Mode of Operation of Vibrational

Gyroscopes‖, to be published in IEEE Sensors Journal,

2008.

12. Q. Zheng, L. Dong, D. LEE, and Z. Gao, ―Active

Disturbance Rejection Control for MEMS Gyroscopes‖, to

be published in IEEE Transaction on Control Systems

Technology, 2008.

13. B. Su-Alexander, R. Rarick, W. Zhao, and L. Dong, ―A

Novel Application of An Extended State Observer for

High Performance Control of NASA’s HSS Flywheel‖, to

be published in International Journal of Engineering

Simulation, 2008.

14. Q. Zheng and L. Dong, ―A Disturbance Rejection Based

Control System Design for Z-Axis Vibratory Rate

Gyroscopes‖, Journal of Systems and Control Engineering,

Vol. 222, No.1, p. 23-30, 2008.

15. Q. Zheng, L. Dong, and Z. Gao, ―A Novel Control System

Design for Vibrational MEMS Gyroscopes,‖ Sensors &

Transducers Journal, Vol. 78, No. 4, pp. 1073-1082, 2007.

16. B. Su-Alexander, R. Rarick, and L. Dong, ―Application of

Active Disturbance Rejection Control to Self-Sensing

Magnetic Bearings‖, International Journal of Engineering

Simulation, Vol. 8, No. 2, p. 10-16, July 2007.

24

17. B. Su-Alexander, R. Rarick, and L. Dong, ―A Novel

Application of An Extended State Observer for High

Performance Control of NASA’s HSS Flywheel‖, to be

published in Proceedings of American Control Conference,

Seattle, Washington, USA on June 11-13, 2008.

18. L. Dong, Q. Zheng, and D. Avanesov, ―The Design and

Implementation of Driving Mode Control for Vibrational

Gyroscopes‖, to be published in Proceedings of American

Control Conference, Seattle, Washington, USA on June

11-13, 2008.

19. Q. Zeng, L. Dong, D. H. LEE, and Z. Gao, ―Active

Disturbance Rejection Control for MEMS Gyroscopes‖, to

be published in Proceedings of American Control

Conference, Seattle, Washington, USA on June 11-13,

2008.

20. L. Dong, Q. Zheng, and Z. Gao, ―A Novel Oscillation

Controller for Vibrational MEMS Gyroscopes‖, in

Proceedings of American Control Conference, NYC, NY,

July11-13, 2007.

21. B. Su-Alexander, R. Rarick, and L. Dong, ―Application of

Active Disturbance Rejection Control to Self-Sensing

Magnetic Bearings‖, in Proceedings of American Control

Conference, NYC, NY, July11-13, 2007.

22. Q. Zheng, L. Dong, and Z. Gao, ―Control and

Time-Varying Rotation Rate Estimation of Vibrational

MEMS Gyroscopes,‖ in Proceedings of IEEE

Multi-Conference on Systems & Control, Singapore,

October, 2007.

23. Q. Zheng and L. Dong, ―A Disturbance Rejection Based

Control System Design for Z-Axis Vibratory Rate

Gyroscopes‖, in Proceedings of IEEE proceedings of

International Conference on Control and Automation,

Guangzhou, China, May 2007.

24. L. Dong, ―Adaptive Estimation and Control of a Z-axis

MEMS Gyroscope with Time-varying Rotation Rates‖, in

IEEE proceedings of International Conference on

Autonomic and Autonomous Systems, Silicon Valley, CA,

July 19-July 21, 2006, pp.18-pp.23.

25. L. Dong and R. P. Leland, ―The Adaptive Control System

of a MEMS Gyroscope with Time-varying Rotation Rate‖,

in Proceedings of American Control Conference, Portland,

Oregon, June 2005, pp. 3592-3597.

26. Y. Zhu, Y. Fu, and H. Fu, ―On Privacy in Time Series Data

Mining,‖ PAKDD, Osaka, Japan, May 2008.

27. Y. Fu, H. Paul, and N. Shetty, ―Improving Mobile Web

Navigation Using N-grams Prediction Models,‖

International Journal of Intelligent Information

Technologies, Vol. 3, No. 2, 2007.

28. S. R. Subramanya, J. Teng, and Y. Fu, ―Study of Relative

Effectiveness of Features in Content-Based Image

Retrievals,‖ International Journal of Computers and Their

Applications, Vol. 13, No. 1, March, 2006.

29. Y. Fu, ―Web Usage Mining and Its Applications,‖ in J.

Wang (Ed.), Encyclopedia of Data Warehousing and

Mining, Information Science Publishing, 2005.

30. Y. Fu, H. Paul, and N. Shetty, ―Using N-Grams Prediction

Models to Improve Web Navigation for Wireless Users,‖

International Conference on Data Mining, Las Vegas,

2005.

31. S. Hu and Z. Gao, ―A Two-Degree-of-Freedom

Time-Optimal Solution for Hard Disk Drive Servo

Problems‖, International Journal of Adaptive Control and

Signal Processing, Volume 22, Issue 4, Date: May 2008,

Pages:388-401

32. Z. Chen, Q. Zheng, and Z. Gao, ―Active Disturbance

Rejection Control of Chemical Processes‖, Proceedings of

the 2007 IEEE Multi-conference on Systems and Control,

Singapore, October 1-3, 2007.

33. W. Zhou and Z. Gao, ―An Active Disturbance Rejection

Approach to Tension and Velocity Regulations in Web

Processing Lines‖, Proceedings of the 2007 IEEE

Multi-conference on Systems and Control, Singapore,

October 1-3, 2007.

34. Q. Zheng, L. GAO, and Z. Gao, ―On Estimation of Plant

Dynamics and Disturbance from Input-Output Data in Real

Time‖, Proceedings of the 2007 IEEE Multi-conference on

Systems and Control, Singapore, October 1-3, 2007.

35. G. Tian, Z. Gao, ―Frequency Response Analysis of Active

Disturbance Rejection Based Control System‖,

Proceedings of the 2007 IEEE Multi-conference on

Systems and Control, Singapore, October 1-3, 2007.

36. D. Yoo, S. Yau, and Z. Gao, ―Optimal Fast Tracking

Observer Bandwidth of the Linear Extended State

Observer‖, International Journal of Control, Volume 80,

Number 1/January 2007, pp. 102-111.

37. Q. Zheng, Z. Chen, and Z. Gao, ―A Disturbance Rejection

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Proceedings of the 2007 American Control Conference,

July 11-13, 2007.

38. J. Lekki, Q. Nguyen, T. Bizon, B. Nguyen, J. Kojima and

M. Hizlan, ―An extremely low power quantum optical

communication link for miniature planetary sensor

stations,‖ Journal of Aerospace Computing, Information,

and Communication. (Accepted for publication, 4/2008)

39. M. Hizlan, ―Spread Spectrum,‖ The Handbook of

Computer Networks, H. Bidgoli, Ed. Wiley, New York

2007.

40. M. Hizlan, ―Space Telecommunications Radio System

Waveform Development for TDRSS S-Band Single

Access Return Service.‖ Prepared for NASA Summer

Faculty Fellowship Program 2007, NASA Glenn Research

Center, Cleveland, OH, July 2007.

41. M. Hizlan, ―Glenn Research Center Quantum

Communicator Receiver Design and Development.‖

Prepared for NASA Summer Faculty Fellowship Program

2006, NASA Glenn Research Center, Cleveland, OH,

August 2006.

42. J. Lekki, Q. Nguyen, B. Nguyen and M. Hizlan,,

―Quantum Optical Communication for Micro Robotic

Explorers,‖ AIAA Conference Infotech@Aerospace 2005,

September 26-29, 2005, Arlington, VA. AIAA

2005-7118.

43. M. Hizlan, ―GRC Quantum Communicator Experimental

Analysis.‖ Prepared for NASA Summer Faculty Fellowship

Program 2005, NASA Glenn Research Center, Cleveland,

OH, August 2005.

44. M. Hizlan, ―Quantum Communications System

Analysis.‖ Prepared for NASA Summer Faculty Fellowship

Program 2004, NASA Glenn Research Center, Cleveland,

OH, August 2004.

45. D. Simon, Optimal State Estimation, John Wiley and Sons,

2006

25

46. D. Simon, ―A Comparison of Filtering Approaches for

Aircraft Engine Health Estimation,‖ Aerospace Science

and Technology, vol. 12, no. 4, pp. 276-284, June 2008

47. D. Simon, ―Reduced Order Kalman Filtering without

Model Reduction,‖ Control and Intelligent Systems, vol.

35, no. 2, pp. 169-174, April 2007

48. D. Simon and D. L. Simon, ―Kalman Filter Constraint

Switching for Turbofan Engine Health Estimation,‖

European Journal of Control, vol. 12, no. 3, pp. 331-343,

May 2006

49. D. Simon and D. L. Simon, ―Kalman Filtering with

Inequality Constraints for Turbofan Engine Health

Estimation,‖ IEE Proceedings – Control Theory and

Applications, vol. 153, no. 3, pp. 371-378, May 2006

50. D. Simon, ―A Game Theory Approach to Constrained

Minimax State Estimation,‖ IEEE Transactions on Signal

Processing, vol. 54, no. 2, pp. 405-412, February 2006

51. T. Chia, D. Simon, and H. Chizeck, ―Kalman Filtering

with Statistical State Constraints,‖ Control and Intelligent

Systems, vol. 34, no. 1, pp. 73-79, January 2006

52. D. Simon, ―H-infinity Estimation for Fuzzy Membership

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November 2005

53. D. Simon and D. L. Simon, ―Aircraft Turbofan Engine

Health Estimation Using Constrained Kalman Filtering,‖

ASME Journal of Engineering for Gas Turbines and

Power, vol. 127, no. 2, pp. 323-328, April 2005

54. D. Simon and D. Feucht, ―Synchronous Motor Phase

Control By Vector Addition of Induced Winding

Voltages,‖ IEEE Transactions on Industrial Electronics,

vol. 51, no. 3, pp. 537-544, June 2004

55. D. Simon, ―Data Smoothing and Interpolation Using

Eighth-Order Algebraic Splines,‖ IEEE Transactions on

Signal Processing, vol. 52, no. 4, pp. 1136-1144, April

2004

56. A. Stankovic ―Unbalanced Operation of Three-Phase

Boost Type Rectifiers‖, Handbook of Automotive Power

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57. N. Sayed, A. Stankovic, L. Nerone, ― A New

Mathematical Tool to Meet IEC 61000-3-2‖, Journal of

the Illuminating Engineering Society, vol. 33, No.1,

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58. A. Stankovic, E. Benedict, V. John and T. A. Lipo, ―A

Novel Method for Measuring Induction Machine

Magnetizing Inductance‖, IEEE Transactions on Industry

Applications, vol. 39. No.5, Sep/Oct, 2003.pp. 1257-1263.

59. A. Stankovic, D. Uppala, D. Kachmarik, M.C Cosby Jr.

and L. Nerone, ―Design, Analysis and Optimization of a

Universal Power Factor Correction Circuit for Linear

Fluorescent Lamps‖, Journal of the Illuminating

Engineering Society, vol. 33, No.1, Winter 2004.pp.43-54.

60. N. Sayeed, A. Stankovic and L. Nerone, ―A Low Cost

High Power Factor Electrolytic-less Ballast for

Fluorescent lamps‖, Journal of the Illuminating

Engineering Society, vol.32. No.1.Winter 2003.pp. 41-51.

61. K. Chen, A. Stankovic, ―Building a Modern Power

Electronics and Electric Machines Laboratory‖,

Conference Proceedings of 2007 ASEE Conference, AC

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62. H. Y. Wang, A. Stankovic, D. Kachmarik and L. Nerone,

―A Novel Discrete Dimming Ballast for Linear Fluorescent

Lamps‖, Conference Proceedings of 35th IEEE Power

Electronics Specialists Conference PESC 2004, Aachen,

Germany, June 20 - 25, 2004, pp.815-820.

63. A. Stankovic, A. G. Birchenough, B. Kenny, G. Kimnach,

―Modeling of an AC Power System for High Power

Spacecraft‖, Conference Proceedings of Space Technology

and Applications International Forum-STAIF 2004, pp

598- 605.

64. A. Stankovic, D. Uppala, D. Kachmarik, M.C Cosby Jr.

and L. Nerone, ―Design, Analysis and Optimization of a

Universal Power Factor Correction Circuit for Linear

Fluorescent Lamps‖, Conference Proceedings of the

IESNA, pp. 73-101, 2003.

65. A. Stankovic, ―Trends in developing State of the Art

laboratories for Teaching Power Electronics and Electric

Machines‖, ETRAN 2008, Palic, Serbia.

66. A. Arora, M. Gouda, J. Hallstrom, T. Herman, W. Leal,

and N. Sridhar, ―A state-based language for

sensor-actuator networks,‖ SIGBED Review, 4(3), July

2007. Special Issues on the Workshop on Wireless Sensor

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67. N. Sridhar. Serfs: Dynamically-bound parameterized

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68. D. Bheemidi and N. Sridhar, ―A Wrapper-Based

Approach to Sustained Time Synchronization in Wireless

Sensor Networks,‖ In Proceedings of the International

Conference on Computer Communications Networks

(ICCCN 2008), US Virgin Islands, USA, August 2008. To

appear.

69. A.. Dalton, W. McCartney, K. Ghosh-Dastidar, J.

Hallstrom, N. Sridhar, T. Herman, W. Leal, A. Arora, and

M. Gouda. DESAL-a: ―An Implementation of the

Dynamic Embedded Sensor-Actuator Language,‖ In

Proceedings of the International Conference on Computer

Communications Networks (ICCCN 2008), US Virgin

Islands, USA, August 2008. To appear.

70. W. McCartney and N. Sridhar, ―Getting TinyOS and

NesC Ready for Prime Time,‖ In Proceedings of the 5th

International Workshop on Embedded Networks

(HotEmNets 2008), Charlottesville, VA, USA, June 2008.

Pages 88–92.

71. W. McCartney and N. Sridhar, ―Abstractions for Safe

Concurrent Programming in Networked Embedded

Systems,‖ In Proceedings of the 4th ACM Symposium on

Embedded Networked Sensor Systems (SenSys 2006),

Boulder, CO, USA, November 2006. Pages 167–180.

72. W. McCartney and N. Sridhar. TOSDev: ―A Rapid

Development Environment for TinyOS,‖ Demo paper. In

Proceedings of the 4th ACM Symposium on Embedded

Networked Sensor Systems (SenSys 2006), Boulder, CO,

USA, November 2006. Pages 387–388.

73. H. Zia and N. Sridhar, ―A Fault-Tolerant Algorithm for

Gossip in Wireless Sensor Networks,‖ In Proceedings of

the Ohio ICE Technical Conference, Akron, OH, USA,

October 2006.

74. A. Dalton, J. Hallstrom, H. Zia, and N. Sridhar,

―Improving Network Link Quality in Embedded Wireless

Systems,‖ In Proceedings of the 3rd Workshop on

26

Dependable Embedded Systems, Leeds, UK, October 2006.

Pages 43–48.

75. N. Sridhar, ―Decentralized Local Failure Detection in

Dynamic Distributed Systems,‖ In Proceedings of 25th

Symposium on Reliable Distributed Systems (SRDS 2006),

Leeds, UK, October 2006. Pages 143-152.

76. N. Sridhar, J. Hallstrom, and P. Sivilotti,

―Container-based component deployment: A case study,‖

In Proceedings of the 18th International Conference on

Software Engineering and Knowledge Engineering (SEKE

2006), San Francisco, CA, USA, July 2006.

77. N. Sridhar, ―Dynamic instantiation-checking

components,‖ In Proceedings of the 21st Annual ACM

Symposium on Applied Computing (SAC 2006), pages

1442–1446, Dijon, France, April 2006.

78. N. Sridhar and J. Hallstrom, ―A behavioral model for

software containers,‖ In Proceedings of FASE’06:

Fundamental Approaches to Software Engineering, pages

139–154, Vienna, Austria, March 2006.

79. F. Xiong, Digital Modulation Techniques, Second Edition,

1017 pages, Artech House, April 2006.

80. F. Xiong, Amplitude Shift Keying, in Encyclopedia of RF

and Microwave Engineering, Editor, Kai Chang, Texas

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2005.

81. F. Xiong and R. Romanofsky, ―Study of Behavior of

Digital Modulations for Beam-Steerable Reflectarray

Antennas,‖ IEEE Transactions on Antennas and

Propagation, vol. 53, no. 3, March 2005. 82. Y. Fang, V. Siemionow, V. Sahgal, F. Xiong, G. Yue,

―Distinct brain activation patterns for human maximal

voluntary eccentric and concentric muscle actions,‖ Brain

Research, 2004 Oct 15;1023(2):200-12.

83. F. Xiong, ―M-ary Amplitude Shift Keying OFDM system,‖

IEEE Transaction on Communications, vol-51, No. 10, pp.

1638-1642, October, 2003.

84. A. Al-Dweik and F. Xiong, ―FHMA Communication with

Noncoherent OFDM-ASK in AWGN Channels,‖ IEEE

Transaction on Communications, Vol. 51, No. 1, pp. 33-36,

January 2003.

85. H. Wang, X. Qin, L. Zeng, and F. Xiong, ―Coding, Decoding

and Recovery of Clock Synchronization in Digital

Multiplexing System,‖ IEEE Transactions on Communications,

Vol. 51, No. 5, pp.825 – 831, May 2003.

86. X. Qin, H. Wang, L. Zeng, and F. Xiong, ―An All-Digital

Clock Smoothing Technique –Counting Prognostication,‖

IEEE Transactions on Communications. Vol. 51, No. 2, pp.

166-169, February 2003.

87. G. Wang and S.-T. Yau “Spatial confinement induced

enzyme stability for bioelectronic applications,‖ J. Phys.

Chem. C, vol. 111, pp. 11921-11926, 2007.

88. G. Wang, N. M. Thai and S.-T. Yau ―Preserved enzymatic

activity of glucose oxidase immobilized on unmodified

electrodes for glucose detection,‖ Biosensors &

Bioelectronics, vol. 22, pp. 2158-2164, 2007.

89. Y. Choi, G. Wang and S.-T. Yau, "An electronic composite

material with room-temperature negative differential

resistance," Appl. Phys. Lett., vol. 89, 233116, 2006.

90. G. Wang, K. Mantey, M. Nayfeh and S.-T. Yau,

―Amperometric Detection of Bio-Medically Important

Substances Using Si29 Particles,‖ Appl. Phys. Lett, vol. 89,

243901, 2006.

91. G. Wang and S.-T. Yau, ―Preserved enzymatic activity of

glucose oxidase immobilized on an unmodified electrode,‖

Electrochem. Commun, vol. 8, pp. 987-992, 2006.

92. S.-T. Yau, Iris Thai, Ela Strauss, Narender Rana and Gang

Wang., ―Inlaying nanoscale surface recess structures with

nanoscale objects,‖ J. Nanosci. Nanotechnol. Vol. 6,

pp.796-801, 2006.

93. G. Wang and S.-T. Yau, ―Enzyme-Immobilized Si-SiO2

Electrode: Fast Electron Transfer with Preserved Enzymatic

Activity,‖ Appl. Phys. Lett. vol.87, 253901, 2005.

94. E. Manning and S.-T. Yau, ―Spatially selective

immobilization of ferritin using solid-solution interfacial

interactions,‖ J. Vac. Sci. Technol. B, vol. 23, pp.

2309-2313, 2005.

95. S.-T. Yau and G. Qian, ―A Prototype Protein Field-Effect

Transistor,‖ Appl. Phys. Lett. Vol. 86, 103508, 2005.

96. E. Strauss, B. Thomas and S.-T. Yau, ―Enhancing electron

transfer at the cytochrome c – immobilized microelectrode

and macroelectrode,‖ Langmuir, vol. 20, pp. 8768-8772,

2004.

97. N. Rana and S.-T. Yau, ―Constructing low-dimensional

assemblies of nanoparticles,‖ Nanotechnology, vol. 15, pp.

275-278, 2004.

98. Feeling-Taylor, S.-T. Yau, D. Petsev, R. Nagel, R. E.

Hirsch and P. G. Vekilov, ―Crystallization mechanisms of

hemoglobin c in the R-state,‖ Biophys. J. vol. 87, pp. 1-9,

2004.

99. H. Lin, S.-T. Yau and P. G. Vekilov, ―Dissipating step

bunches during crystallization under transport control,‖

Phys. Rev. E, vol. 67, 031606, 2003.

100. Yu, C. Das and Y, Pan (editors), Performance Analysis of

Mobile Ad Hoc Networks, Nova Science Publishers Inc.,

ISBN 1-60021-277-8, July 2006.

101. Yu, Mieso Denko, and Ben Lee (Guest editors), Journal of

Pervasive Computing and Communications (JPCC),

Special Issue on ―Wireless Networks and Pervasive

Computing,‖ Issue 5, Volume 2, 2006.

102. S. Moh, C. Yu, B. Lee, and H. Y. Youn, ―Energy Efficient

Two-Tree Multicast for Mobile Ad Hoc Networks,‖

Advances in Wireless Ad Hoc and Sensor Networks, Ed.

M. Cheng, G. Xue and D. Li, of book series ―Network

Theory and Applications,‖ Springer, 2007.

103. W. Chedid, C. Yu and B. Lee, ―Power Analysis and

Optimization Techniques for Energy Efficient Computer

Systems,‖ Advances in Computers, Vol. 63, Ed. A. R.

Hurson and M. V. Zelkowitz, Elsevier Academic Press, pp.

129-164, 2005.

104. Lee, C. Yu, and S. Moh, ―Issues in Scalable Clustered

Network Architecture for Mobile Ad Hoc Networks,‖

Handbook of Mobile Computing, CRC Press LLC, 2004.

105. Yu, B. Lee, S. Kalubandi and M. Kim, ―Medium Access

Control Mechanisms in Mobile Ad Hoc Networks,‖

Handbook of Mobile Computing, CRC Press LLC, 2004.

106. S. Mal-Sarkar, I. U. Sikder, C. Yu, V. K. Konangi,

―Uncertainty-Aware Wireless Sensor Networks,‖

International Journal of Mobile Communications (IJMC,

Inderscience), 2008 (to appear).

107. L. Song and C. Yu, ―Minimizing Spatial and Time

Reservation with Collision-Aware DCF in Mobile Ad Hoc

27

Networks,‖ Ad Hoc Networks Journal (Elsevier), 2008 (to

appear).

108. S. Moh, S. J. Lee, and C. Yu, ―Adaptive Multicast on

Mobile Ad Hoc Networks using Tree-Based Meshes with

Variable Density of Redundant Paths,‖ Wireless Networks

(WINET), Springer, 2008 (to appear).

109. C. Yu, K. G. Shin, and L. Song, ―Maximizing

Communication Concurrency via Link-Layer Packet

Salvaging in Mobile Ad Hoc Networks,‖ IEEE Trans.

Mobile Computing, Vol. 6, No. 4, Apr. 2007.

110. K Lee, M. Kim, C. Yu, B. Lee and S Hong, ―Selective

Advance Reservations Based on Host Movement

Detection and Resource-aware Handoff,‖ International

Journal of Communication Systems, Vol. 19, Issue 2, pp.

163-184, Mar. 2006.

111. Lee, E. Nurvitadhi, R. Dixit, C. Yu, and M. Kim,

―Dynamic Voltage Scaling Techniques for Power Efficient

Video Decoding,‖ Journal of Systems Architecture, Vol.

41, Issues 10-11, pp. 633-652, Oct.-Nov. 2005.

112. Nurvitadhi, B. Lee, C. Yu, and M. Kim, ―Adaptive

Semi-Soft Handoff for Cellular IP Networks,‖

International Journal of Wireless and Mobile Computing,

Special Issue on Media Streaming Over Wireless and

Mobile Networks, Vol. 1, Issue 4, 2005.

113. Won, B. Lee, C. Yu, S. Moh, K. Park, M.-J. Kim, ―A

detailed performance analysis of UDP/IP, TCP/IP, and

M-VIA network protocols using Linux/SimOS,‖ The

Journal of High Speed Networks, Vol. 13 No. 3, pp.

169-182, 2004.

114. Yu, K. G. Shin, and B. Lee, ―Power-Stepped Protocol:

Enhancing Spatial Utilization in a Clustered Mobile Ad

Hoc Network,‖ IEEE Journal on Selected Areas in

Communications (J-SAC), Vol. 22, No. 7, pp. 1322-1334,

Sep. 2004.

115. C Yu, B. Lee, and H. Y. Youn, ―Energy Efficient Routing

Protocols for Mobile Ad Hoc Networks,‖ Wireless

Communications and Mobile Computing, Vol. 3, Issue 8,

pp. 959-973, Dec. 2003.

116. Lee, D. Nam, H.Y. Youn, and C. Yu, ―OCI-based Group

Communication Support in CORBA,‖ IEEE Transactions

on Parallel and Distributed Systems, Vol. 14, No. 11, pp.

1126-1139, Nov. 2003.

117. M. Kang, C. Yu, H. Y. Youn, B. Lee and M. Kim,

―Isomorphic Strategies for Processor Allocation in k-ary

n-cube Systems,‖ IEEE Transactions on Computers, Vol.

52, No.5, pp. 645-657, May 2003.

118. K. Lee, M. Kim, S. T. Chanson, C. Yu and J. Lee, ―CORP

- A Method of Concatenation and Optimization for

Resource Reservation Path in Mobile Internet,‖ IEICE

Transactions on Communications, Vol. E86-B, No. 2, Feb.

2003.

119. S. Moh, C. Yu, S.-M. Park, and H.-N. Kim, ―CD-MAC:

Cooperative Diversity MAC for Robust Communication in

Wireless Ad Hoc Networks,‖ IEEE International

Conference on Communications (ICC), 2007.

120. S. Lim, C. Yu and C. Das, ―Clustered Mobility Model for

Scale-Free Wireless Networks,‖ IEEE 31st Conference on

Local Computer Networks (LCN), 2006.

121. S. Moh, S. J. Lee, and C. Yu, ―Tree-Based Multicast

Meshes with Variable Density of Redundant Paths on

MANETs: Tradeoffs between Tree and Flooding,‖ The

International Conference on Wireless Algorithms, Systems

and Applications (WASA’06), 2006.

122. L. Song and C. Yu, ―Improving Spatial Reuse with

Collision-Aware DCF in Mobile Ad Hoc Networks,‖ 35th

International Conference on Parallel Processing (ICPP),

pp. 219-226, 2006.

123. C. Yu, K. G. Shin, B. Lee, S. Park, and H. Kim, ―Node

Clustering in Mobile Peer-to-Peer Multihop Networks,‖

IEEE Percom Workshop on Mobile Peer-to-Peer

Computing (MP2P’06), pp. 130-134, 2006.

124. C. Yu, K. G. Shin, and L. Song, ―Link-Layer Salvaging for

Making Routing Progress in Mobile Ad Hoc Networks,‖

The Sixth ACM International Symposium on Mobile Ad

Hoc Networking and Computing (MobiHoc 2005),

pp.242-253, 2005.

125. S. Lim, C. Yu and C. Das, ―Rcast: A Randomized

Communication Scheme for Improving Energy Efficiency

in Mobile Ad Hoc Networks,‖ The 25th

International

Conference on Distributed Computing Systems (ICDCS

2005), 2005.

126. C. Yu, S. Park, and H. Kim, ―Every Node is Born Equal:

Attacking Preferential Attachment in Peer-to-Peer Mobile

Multihop Networks‖ IEEE Percom Workshop on Mobile

Peer-to-Peer Computing (MP2P’05), pp. 70-74, 2005.

127. W. Kim, M. Kim, K. Lee, C. Yu, B. Lee, ―Link Layer

Assisted Mobility Support Using SIP for Real-time

Multimedia Communications,‖ ACM International

Workshop on Mobility Management and Wireless Access

(MobiWac 04), Sep. 2004.

128. S. Mehra and C. Yu, ―Enhancing the Performance of

Mobile Ad Hoc Networks with the Aid of Internet

Gateways,‖ Proceedings of the International Conference

on Wireless Networks (ICWN’04), Vol. I, pp. 22-26, 2004.

129. M. Lim and C. Yu, ―Does Cluster Architecture Enhance

Performance Scalability of Clustered Mobile Ad Hoc

Networks?‖ Proceedings of the International Conference

on Wireless Networks (ICWN’04), Vol. I, pp. 71-77, 2004.

130. S. Moh, C. Yu, and D. Han, ―Design and Experiment of a

Communication-Aware Parallel Quicksort with Weighted

Partition of Processors,‖ International Conference on

Computational Science and Its Applications (ICCSA-2004),

pp. 97~105, Assisi, Italy, May 14~17, 2004.

131. E. Nurvitadhi, B. Lee, C. Yu, and M. Kim, ―A

Comparative Study of Dynamic Voltage Scaling

Techniques for Low-Power Video Decoding,‖ 2003

International Conference on Embedded Systems and

Applications (ESA ’03), 2003.

132. J. H. Lee, H. Y. Youn, C. Yu, and D. Lee, ―Efficient

Power-aware Hybrid Routing Using Zoning for Ad Hoc

Network,‖ ISCA 18th Int’l Conf. on Computers and Their

Applications, Mar. 2003.

133. W. Zhao, L. E. Moser and P. M. Melliar-Smith, ―A

Reservation-Based Extended Transaction Protocol,‖ IEEE

Transactions on Parallel and Distributed Systems, vol. 19,

no. 2, pp. 188-203.

134. W. Zhao, F. Kart, L. E. Moser and P. M. Melliar-Smith,

―A Reservation-Based Extended Transaction Protocol for

Coordination of Web Services,‖ to appear in International

Journal of Web Services Research.

135. W. Zhao, ―A Game Theoretical View of Byzantine Fault

Tolerance Design,‖ International Journal of

28

Performability Engineering, Short Communications, vol. 3,

no. 4, October 2007, pp. 498-500.

136. W. Zhao, L. E. Moser and P. M. Melliar-Smith,

―Unification of Transactions and Replication in Three-Tier

Architectures Based on CORBA,‖ IEEE Transactions on

Dependable and Secure Computing, vol. 2, no. 1, 2005, pp.

20-33.


―End-to-End Latency of a Fault-Tolerant CORBA

System,‖ Performance Evaluation, vol.63, no. 4-5,

pp.341-363.

138. W. Zhao, L. E. Moser and P. M. Melliar-Smith, ―Design

and Implementation of a Consistent Time Service for

Fault-Tolerant Distributed Systems,‖ Computer Systems

Science and Engineering, vol.19 no. 5, 2004, pp. 315-323.

139. L. E. Moser, P. M. Melliar-Smith and W. Zhao, ―Building

Dependable and Secure Web Services,‖

Journal of Software, Academy Publisher, vol. 2, no. 1,

February 2007, pp. 14-26.

140. W. Zhao, L. E. Moser and P. M. Melliar-Smith, ―Design

and Implementation of a Pluggable Fault Tolerant CORBA

Infrastructure,‖ Cluster Computing: The Journal of

Networks, Software Tools and Applications, Special issue

on Dependable Distributed Systems, vol. 7, no. 4, 2004, pp.

317-330.

141. B. X. S. Alexander, Richard Rarick, W. Zhao, Lili Dong,

―Simulation and Analysis of an Extended State Observer

for Levitation Control of a Rotor-Bearing System,‖ To

appear in International Journal of Engineering and

Simulation.

142. B. Chen and W. Zhao, ―Building Secure and Dependable

Online Gaming Applications,‖ to appear in Encyclopedia

of Information Science and Technology, 2nd

Edition, Idea

Group Publishing.

143. H. Zhang and W. Zhao, ―Web Services Coordination for

Business Transactions,‖ to appear Encyclopedia of

Information Science and Technology, 2nd

Edition, Idea

Group Publishing.

144. W. Zhao, ―Intrusion Tolerance in Information Systems,‖

to appear in Encyclopedia of Information Science and

Technology, 2nd

Edition, Idea Group Publishing.

145. W. Zhao, ―Highly Available Database Management

Systems,‖ to appear in Encyclopedia of Information

Science and Technology, 2nd

Edition, Idea Group

Publishing.

146. W. Zhao, ―Concurrency Control in Real-Time

E-Collaboration Systems,‖ Encyclopedia of

E-Collaboration, Idea Group Publishing, 2008, pp.

95-101.

147. W. Zhao, ―Anonymous Peer-to-Peer Systems,‖

Encyclopedia of Information Ethics and Security, Idea

Group Publishing, 2007, pp. 23-29.

148. W. Zhao, ―Building Secure and Dependable Information

Systems,‖ Encyclopedia of Information Ethics and

Security, Idea Group Publishing, 2007, pp. 62-67.


―Transparent Fault Tolerance for Distributed and

Networked Applications,‖ Encyclopedia of Information

Science and Technology, Idea Group Publishing, January

2005, pp. 1190-1197.

150. W. Zhao, L. E. Moser and P. M. Melliar-Smith, ―High

Availability and Data Consistency for Three-Tier

Enterprise Applications,‖ Encyclopedia of E-Commerce,

E-Government and Mobile Commerce, Idea Group

Publishing, March 2006, pp. 552-558.

151. W. Zhao and H. Zhang, ―Byzantine Fault Tolerant

Coordination for Web Services Business Activities,‖ in

Proceedings of the IEEE International Conference on

Services Computing, Honolulu, Hawaii, July 8-11 2008

(18% acceptance rate).

152. W. Zhao and E. Villaseca, ―Byzantine Fault Tolerance for

Electric Power Grid Monitoring and Control,‖ in

Proceedings of the International Conference on Embedded

Software and Systems, Chengdu, Sichuan, China, July

29-31 2008 (16% acceptance rate).

153. W. Zhao, ―BFT-WS: A Byzantine Fault Tolerance

Framework for Web Services,‖ Proceedings of the

Middleware for Web Services Workshop, Annapolis, MD,

October 2007. (Won Best Paper Award)

154. W. Zhao, ―A Lightweight Fault Tolerance Framework for

Web Services,‖ Proceedings of the IEEE/WIC/ACM

International Conference on Web Intelligence, Silicon

Valley, CA, November 2007, pp. 542-548. (16%

acceptance rate)

155. W. Zhao, ―Byzantine Fault Tolerant Coordination for

Web Services Atomic Transactions,‖ Proceedings of the

5th

International Conference on Service-Oriented

Computing, Vienna, Austria, September 2007, Lecture

Notes in Computer Science, vol. 4749, pp. 307-318. (21%

acceptance rate)

156. W. Zhao, ―A Byzantine Fault Tolerant Distributed

Commit Protocol,‖ Proceedings of the 3rd IEEE

International Symposium on Dependable, Autonomic and

Secure Computing, Loyola College Graduate Center,

Columbia, MD, USA, September 2007, pp. 37-44.

157. W. Zhao, ―Byzantine Fault Tolerance for

Nondeterministic Applications,‖ Proceedings of the 3rd

IEEE International Symposium on Dependable,

Autonomic and Secure Computing, Loyola College

Graduate Center, Columbia, MD, USA, September 2007,

pp. 108-115.

158. L. E. Moser, P. Melliar-Smith and W. Zhao, Making Web

Services Dependable, Proceedings of the First

International Conference on Availability, Reliability and

Security, the International Dependability Conference

Bridging Theory and Practice, Vienna University of

Technology, Austria, April 2006, pp. 440-448.

159. W. Zhao, L. E. Moser and P. M. Melliar-Smith, A

Reservation-Based Coordination Protocol for Web

Services, Proceedings of the IEEE International

Conference on Web Services, Orlando, Florida, July 2005,

pp. 49-56. (17% acceptance rate)

160. W. Zhao, L. Moser and P. M. Melliar-Smith,

Deterministic Scheduling for Multithreaded Replicas,

Proceedings of the IEEE International Workshop on

Object-oriented Real-time Dependable Systems, Sedona,

Arizona, February 2005, pp. 74-81.

161. Y. Zhu and R. Bettati, ―Information Leakage as a Model

for Quality of Anonymity Networks‖, accepted by IEEE

Transactions on Parallel and Distributed Systems.

162. Y. Zhu, X. Fu, R. Bettati, and W. Zhao, ―Analysis of

29

Flow-Correlation Attacks in Anonymity Network,‖

International Journal of Security and Networks (IJSN)

Special Issue on "Computer & Network Security", Vol. 2,

No.1/2, pp. 137-153, 2007.

163. X. Fu, Y. Zhu, B. Graham, R. Bettati and W. Zhao, ―On

Flow Marking Attacks in Wireless Anonymous

Communication Networks,‖ Journal of Ubiquitous

Computing and Intelligence, Vol. 1, No. 1, pp. 42-53, April

2007.

164. Y. Zhu, X. Fu and R. Bettati, ―On the Effectiveness of

Continuous-Time Mixes under Flow-Correlation Based

Anonymity Attacks,‖ International Journal of Network

Security (IJNS), Vol. 7, No. 2, pp. 136-146, 2008.

165. D. Xuan, S. Wang, Y. Zhu, R. Bettati and W. Zhao, ―A

Gateway-based Defense System for Distributed

Denial-of-Service Attacks in High-Speed Networks,‖

IEEE Transactions on System, Man, and Cybernetics, in

press.

166. Y. Zhu, Y. Fu and R. Fu ―On Privacy in Time Series Data

Mining,‖ Accepted by the 12th Pacific-Asia Conference on

Knowledge Discovery and Data Mining (PAKDD 2008).

167. Y. Zhu, ―Optimizing RED Control to Maximize Utility‖,

Accepted by 2008 Third International Conference on

Communications and Networking in China.

168. Y. Zhu and R. Bettati, ―Compromising Confidentiality in

Wireless Network using Cheap Sensors,‖ Accepted by the

27th International Conference on Distributed Computing

Systems (ICDCS 2007).

169. Y. Zhu and R. Bettati , ―Anonymity vs. Information

Leakage in Anonymity Systems,‖ in Proceedings of the

25th International Conference on Distributed Computing

Systems (ICDCS), Columbus, Ohio, June 2005.

170. X. Fu, Y. Zhu, B. Graham, R. Bettati and W. Zhao, ―On

Flow Marking Attacks in Wireless Anonymous

Communication Networks,‖ in Proceedings of the 25th

International Conference on Distributed Computing

Systems (ICDCS), Columbus, Ohio, June 2005.

171. Y. Zhu and R. Bettati, ―Un-mixing Mix Traffic,‖ in

Proceedings of Workshop on Privacy Enhancing

Technologies, Dubrovnik, Croatia, May 2005.

172. Y. Zhu, X. Fu, B. Graham, R. Bettati and W. Zhao,

―Anonymity Analysis of Mix Networks against

Flow-Correlation Attacks,‖ in Proceedings of the 48th

IEEE Global Telecommunications Conference, Computer

& Network Security Track (GLOBECOM), St. Louis, MO,

November 2005

173. H. Xu, X. Fu, Y. Zhu, R. Bettati, J. Chen, and W. Zhao,

―SAS: A Scalar Anonymity Anonymous Communication

System,‖ in Proceedings of the International Conference

on Computer Networks and Mobile Computing (ICCNMC),

Zhangjiajie, China, August 2005.

174. Y. Zhu, X. Fu and R. Bettati, ―On the Effectiveness of

Continuous-Time Mixes under Flow-Correlation Based

Anonymity Attacks,‖ in Proceedings of the 4th IEEE

International Symposium on Network Computing and

Applications (NCA), Cambridge, MA, July 2005.

175. B. Graham, Y. Zhu, X. Fu and R. Bettati, ―Using Covert

Channels to Evaluate the Effectiveness of Flow

Confidentiality Measures,‖ in Proceedings of the 11th

International Conference on Parallel and Distributed

Systems(ICPADS), Fukuoka, Japan, June 2005.

176. Y. Zhu, X. Fu, B. Graham, R. Bettati and W. Zhao, ―On

Flow Correlation Attacks and Countermeasures in Mix

Networks,‖ in Proceedings of Workshop on Privacy

Enhancing Technologies (PET), Toronto, Canada, May

2004.

Documents

Electrical and Computer Engineering · EEC 313 EEC 313 EEC 315 or 381 EEC 315 or 381 EEC 361 EEC 380 EEC 380 EEC 440, 450, 470 or 480 EEC 440, 450, 470 or 480 EEC 440, 450, 470 or