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Electrical Engineering


The Department of Electrical Engineering offers a program of graduate study leading to a Master of Science in Engineering (M.S.E.) degree with a major in electrical engineering. The M.S.E. program is broad in scope and emphasizes portable concepts in the design and analysis of complex physical systems using modeling, synthesis, and optimization techniques, and bridges interdisciplinary engineering areas such as controls, robotics, electronics, and communications. A Ph.D. in engineering with a major in electrical engineering is also available. For details, see Engineering Ph.D. Program.


To be considered for admission to the M.S.E.–Electrical Engineering program, students must first satisfy basic requirements of the School of Graduate Studies. This includes having a bachelor’s degree in engineering or a related area with an overall undergraduate grade point average of at least 2.7 (on a 4.0 scale) or an overall undergraduate grade point average of at least 2.5 with an average of 3.0 or better for the last 90 quarter hours (60 semester hours) earned toward the undergraduate degree. International students must have a TOEFL score of at least 550 on the paper-based exam or 213 on the computer-based exam. In addition, the program requires students from non-ABET accredited undergraduate programs to submit general GRE test scores. Program admission decisions are based on complete application information including overall academic performance and standardized test scores where applicable.


The Dayton Area Graduate Studies Institute provides collaboration opportunities through the graduate engineering courses, faculty, and research resources of the Air Force Institute of Technology, the University of Dayton, The Ohio State University, and the University of Cincinnati.

Degree Requirements

Students should plan a program of study in consultation with a faculty advisor. The program of study should be finalized by the time the student completes 12 credit hours of graduate study.
The following requirements must be met for the Master of Science in Engineering degree with a major in electrical engineering:

1. Completion of 45 graduate credit hours (in courses numbered 600 or above) in a program of study approved by the Electrical Engineering department chair or the Electrical Engineering Graduate Program Director.

2. At least 33 of the total 45 graduate credit hours must have an EE (electrical engineering) prefix.

3. At least 24 of the 45 graduate credit hours must be courses numbered 700 or above. Of these 24, 700-level credit hours, at least 16 must have an EE prefix.

4. At least 6 of the total 45 graduate credit hours must be from the following: EE 701, EE 702, EE 761, EGR 703, CEG 770, or any 600-700 level math/statistics class approved by the graduate advisor. A grade of “B” or better must be earned in the above class.

5. Students may choose either a thesis option or a 45 credit hours graduate course work option. Students employed as teaching or research assistants through the School of Graduate Studies must choose the thesis option. The thesis option consists of a research project satisfying all requirements of the School of Graduate Studies. The final report (thesis) must be completed and successfully defended in an oral examination before a faculty committee. Up to 12 credit hours of EE 899, Thesis, may count toward degree requirement of 45 graduate credit hours.

6. No more than nine credit hours of “C” grade may be applied toward the program of study. A maximum of four credit hours of independent study (EE 890) may be used toward the degree requirements.

Note: In any given quarter, a minimum of 50 percent of total registered credit hours must have an EE prefix.


Graduate students have access to a wide range of computer systems interconnected by local and wide-area networks. Access is available to DEC Alpha servers and workstations, a Silicon Graphics (SGI) Onyx 2 and SGI, DEC and Sun Workstations, as well as numerous networked PCs and x-windowing terminals. Access is also available to the Ohio Supercomputer via the Ohio Academic and Research Network (OARNET).


James E. Brandeberry (Emeritus), circuit and interface design, microprocessors, digital control, robotics and computer-aided design
Chien-In Chen, VLSI design, design testability, computer-aided design automation
Lang Hong, stochastic control systems, computer vision, image processing and pattern recognition, robotics, multiple sensor integration and target tracking
Marian K. Kazimierczuk, electronic circuit analysis, high-frequency tuned power amplifiers, power electronics
William S. McCormick (Emeritus), communication theory, bioengineering, electromagnetics, electro-optics
Kuldip S. Rattan, computer-aided design, digital signal processing and control, bioengineering, robotics
Arnab K. Shaw, communication theory and stochastic processes, estimation and detection, signal modeling and signal processing, simulation of communication systems
Raymond E. Siferd (Emeritus), integrated circuits, signal processing, microelectromechanical systems

Associate Professors
John M. Emmert, physical VLSI design, reconfigurable systems, VHSIC hardware description language (VHDL), verilog, physical design automation for VLSI
Fred Garber (chair), decision theory and pattern recognition with applications to automatic target recognition, communication theory with emphasis on modulation techniques for multipath fading channel communications
Russell A. Hannen (Emeritus), electronic systems, control theory, stochastic processes
Pradeep Misra, multivariable control theory, decentralized system theory, robotics and applied numerical analysis, two-dimensional discrete-time systems and robust control theory
Kefu Xue, image processing and computer vision, stochastic processes and filtering, computer and communication systems, control and estimation theory

Assistant Professors
Brian Rigling, sensor signal processing, including synthetic aperture radar, autofocus, and array processing, radar systems engineering, parametric modeling and estimation, growing interest in noise radar and adaptive filtering
Zhigiang Wu, 3G cellular, CDMA systems, multicarrier architectures and frequency domain processing

Graduate Assistantship

Assistantships are available to students on a competitive basis. Students awarded assistantship support are eligible for stipends and remission of tuition fees. Interest in financial support should be indicated at the time of application.


Research in electrical engineering includes the following areas: robotics and control systems, signal and image processing, power electronics, very large scale integrated (VLSI) circuits, and microwaves and antenna theory.

In the areas of robotics and control, faculty members are involved in conventional and fuzzy control of robot manipulators and calibration, robust control of uncertain systems, and computer-aided control design. Related research in system identification, multisensor integration, multidimensional filter design, and computer integrated manufacturing is also being conducted.

A number of faculty members are involved in research programs in the areas of signal and image processing, communications, and radar systems. Topics under investigation include real-time spectrum estimation, radar system analysis, real-time frequency and angle of arrival estimation, parametric modeling techniques, neural network based speech processing, color image processing, and automatic target recognition.

The activities in electronics include design of research in radio frequency power conditioning circuits involving hybrid circuit technology and power electronics.

VLSI research includes design of integrated circuits for signal processing and computer architecture using CMOS technologies as well as developing methods for built-in self-test of VLSI circuits. There is an associated research program in microelectromechanical systems (MEMS).

The research effort in microwaves and antennas is focused on CAD models for millimeter wave integrated circuits (MMIC), and analytical and numerical techniques for arbitrarily shaped, high-frequency printed circuits and conformal antennas.
Research at Wright State is not limited to the laboratory facilities on campus. Several industrial companies, laboratories, and Wright-Patterson Air Force Base are involved in joint research efforts with the university and have unique facilities that are available for faculty and graduate research.

Graduate School
E344 Student Union
Voice: (937) 775-2976
Fax: (937) 775-2453
E-mail: wsugrad@wright.edu
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