Electrical and Computer

Engineering

Graduate Studies and Research

September, 2008

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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

f.xiong@csuohio.edu

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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

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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 Requirements

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

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 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 application to the College of Graduate Studies by more

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.

Admission 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

Canadian institution not accredited by the Canadian

Engineering Accreditation Board of the Canadian Council

of Professional Engineers.

Student’s graduate cumulative grade-point average is below 3.25.

Year of the student’s master’s degree precedes the date of application to the College of Graduate Studies by more

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

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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: graduate.admission@csuohio.edu

International Students

An international student is an individual who holds a visa while

http://www.csuohio.edu/gradcollege/admissions/apply.htmlhttp://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: appstatus@csuohio.edu

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.htmlhttp://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

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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 693 Special Topics in Electrical 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 793 Special Topics in Electrical Engineering

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

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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

Sponsor: Department of Electrical and Computer Engineering

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

Sponsor: Department of Electrical and Computer Engineering

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

Sponsor: Department of Electrical and Computer Engineering

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

Sponsor: Department of Electrical and Computer Engineering

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

Sponsor: NASA Glenn Research Center

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

Sponsor: NASA Glenn Research Center

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

Sponsor: NASA Glenn Research Center

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)

Sponsor: Department of Electrical and Computer Engineering

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

Sponsor: NASA Glenn Research Center

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

Sponsor: Department of Electrical and Computer Engineering

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

Sponsor: Department of Electrical and Computer Engineering

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

Sponsor: Department of Electrical and Computer Engineering

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

Sponsor: Department of Electrical and Computer Engineering

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

Sponsor: Department of Electrical and Computer Engineering

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

Sponsor: NASA Glenn Research Center

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

Sponsor: Cleveland State University

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

Sponsor: Cleveland State University

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

Sponsor: Cleveland State University

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

Sponsor: Cleveland State University

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

Sponsor: Cleveland State University

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

(graduate student)

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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

Sponsor: General Electric Lighting

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

Sponsor: General Electric Lighting

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

Sponsor: General Electric Lighting

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

Sponsor: General Electric Lighting

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

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middleware systems for networked sense-and-respond systems.

Project Title: Improving the Productivity of the Sensor

Network Programmer

Sponsor: National Science Foundation

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

Sponsor: NASA Glenn Research Center

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

Sponsor: Cleveland State University

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

Sponsor: Cleveland State University

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

(graduate student, 2005)

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

Sponsor: Cleveland State University

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

(graduate student, 2005)

Project Descri