Master of Science in Electrical Engineering
Because of the rapid changes in electrical and computer technology and the diversity of applications, the master's program at St. Mary's prepares students to constantly update their professional qualifications and imparts a love of lifelong learning. The program in Electrical Engineering is accredited by the Accreditation Board for Engineering and Technology (ABET).
Students completing the M.S. in Electrical Engineering are prepared for highly technical positions generally having to do with electrical and computer equipment and systems. Graduates can be involved in fields such as signal processing, control systems, communications, integrated systems, fiber optics, semiconductor devices, microprocessors, robotics, computer engineering, software design, embedded systems, computer architectures, digital systems design, and electronics.
The department also offers a unique five-year combined Bachelor of Science and Master of Science in Electrical Engineering. Undergraduate students begin graduate course work during their senior years and pursue a master's degree in one year.
To apply online, click here. For more information about the graduate school, click here.
Contact Information
For further information, please contact Djaffer Ibaroudene, Ph.D., Graduate Program Director, at (210) 431-2050 or dibaroudene@stmarytx.eduProgram of Study
Graduate Program Directors assist the student in designing a Degree Plan which meets university requirements. All courses must be approved by the Graduate Program Directors. Students may elect a 30 hour thesis or 30 hour non-thesis program. The 30 hour thesis program consists of 27 hours of course credit in addition to 3 hours of thesis credit, EG 6339 Thesis Direction. Non-thesis students must complete 30 hours of course credit and a special project combined with an oral comprehensive examination. The General Examination for thesis students is oral.EG 6308 Random Variables and Stochastic Processes
EG 6350 Digital Signal Processing I (S/G)
EG 6362 Computer Vision & Pattern Recognition
EG 6365 Automatic Control System (S/G)
EG 6367 Communication Systems (S/G)
Optional Courses (15 credit hours)
EG 6301 Statistical Data Analysis
EG 6311 Wireless Communication
EG 6312 Data Mining
EG 6318 Introduction to VSLI
EG 6328 Software Engineering
EG 6338 Special Topics
EG 6339 Thesis Direction
EG 6345 Digital Control Systems
EG 6356 Computer Networking
EG 6357 Computer-Controlled Systems
EG 6358 Stochastic Control Theory
EG 6359 Optical Communications
EG 6360 Digital Signal Processing II
EG 6364 Digital Speech Processing
EG 6370 Parallel Processing
EG 6374 Computer Architecture
EG 6376 Neural Networks
EG 6378 Microprocessors
EG 6380 Microcomputer Interfacing
EG 6386 Engineering Problem Solving
EG 6388 Data Acquisition, Presentation & Analysis
EG 6390 Digital System Design with VHDL
EG 6392 Network Programming
EG 6396 Computer Security
EG 6397 Fault-Tolerant Computing
EG 7155, 7255, 7355 Internship
EG 7306 Total Quality Systems
Admission and Prerequisites
Admission is granted to those with high promise for success in graduate study. Applicants demonstrate this potential through previous academic records and testing.To be considered for admission to the M.S.E.E. program, applicants must:
- Have a Bachelor of Science (B.S.) degree in electrical engineering, computer engineering or a closely related discipline. Applicants who earned a bachelor's degree in a closely related discipline, such as physics or mathematics, may be admitted with the provision that they take the prerequisite courses listed below. The Graduate Program Director will evaluate applicants from other disciplines on an individual basis.
- Have a minimum Grade Point Average (GPA) of 3.00 (A = 4.00) for their bachelor's degrees.
- Have a minimum GRE quantitative score of 148 and a minimum GRE analytical score within the 50th percentile.
- Applicants who fail to meet any of the above standards may be admitted on a conditional basis. The graduate program director evaluates these cases on an individual basis.
- Submit the TOEFL scores (international students only) and show a minimum of 213 in the computer-based test or 550 in the paper-based test, or 79 in Internet-based test. As an alternative, International students may take the IELTS test and show a minimum score of 6.0.
- Submit a completed application form, a written statement of purpose indicating the applicant's interests and objectives, two letters of recommendation concerning the applicant's potential for succeeding in the graduate program and official transcripts of all college level work.
EG 2141 Logic Design Laboratory
EG 2152 Circuit Laboratory
EG 2341 Fundamentals of Logic Design
EG 2352 Circuit Analysis I
EG 2353 Circuit Analysis II
EG 3372 Signals and Systems
To apply online, click here. For more information about the graduate school, click here.
Faculty
Mehran Aminian, Ph.D.
Professor of Electrical EngineeringOffice: Richter 219
Phone: (210) 431-2047
maminian@stmarytx.edu
Full Bio Details
M.S., University of Oklahoma, 1982
Ph.D., University of Oklahoma, 1989
Mehran Aminian, Ph.D. joined St. Mary's University in 1988 after graduating from University of Oklahoma with a doctorate in Electrical Engineering. His areas of interest include Computational Intelligence, Optical Communication, Quantum Electronics, Quantum Computing, Quantum Mechanics, Quantum Collision Theory and Semiconductor Devices. He teaches a variety of electrical engineering courses such as Electronics, Semiconductor Devices, Communication Theory, Neural Networks, Optical Communication, Senior Design Project, Electromagnetic Wave Theory, Circuit Theory, Signals and Systems, etc.
He has published numerous papers in Journals such as Physical Review A, Journal of Physics B, IEEE Transactions, Journal of Electronic Testing Theory and Application. He has served in numerous committees such as Campus Technology Committee, Campus Safety Committee, Tenure and Promotion Committees, etc.
Vahid Emamian, Ph.D.
Associate Professor of Electrical EngineeringOffice: Richter 223
Phone: (210) 431-2049
vemamian@stmarytx.edu
Full Bio Details
B.S., Sharif University of Technology, Tehran, 1995
M.S., Sharif University of Technology, Tehran, 1997
Ph.D., University of Minnesota, 2003
Vahid Emamian received his bachelor's and master's in Electrical Engineering from Sharif University of Technology in Tehran in 1995 and 1997, respectively, and his Ph.D from University of Minnesota in Electrical and Computer Engineering, in 2003. The focus of his Ph.D. thesis was “collaborative communications for cellular wireless systems.” He then joined St. Mary's University in 2003 as an Assistant Professor of Engineering, and was elevated to Associate Professor position in 2008.
Emamian teaches an undergraduate course, Circuit Analysis I, in addition to many graduate level courses: Wireless Communications, Automatic Control Systems, Digital Control, Data Acquisition, Presentation, and Analysis, and Engineering Problem Solving Using Matlab. He established a Control and Data Acquisition lab using a grant from Education Department, and a Wireless Communications lab using a grant from the Department of Defense. He is a Senior Member of IEEE reviews papers for IEEE journals. Emamian has published more than 10 journal and conference papers. He has been an associated editor of the International Journal of Computers and Electrical Engineering since 2007.
Bahman Rezaie, Ph.D.
Chair of the Engineering Department and Professor of Electrical EngineeringOffice: Richter 220
Phone: (210) 431-2051
brezaie@stmarytx.edu
Full Bio Details
B.S., Pars College (Iran), 1971
B.S.E.E., Southern Methodist, 1978
M.S.E.E., Southern Methodist, 1980
Ph.D., Southern Methodist, 1984
Bahman Rezaie, Ph.D., earned his doctorate in Electrical Engineering from SMU in 1984. The results of his thesis (on image registration and pattern recognition) were published as a paper in IEEE transactions on Aerospace and Electronic Systems in November 1984.
After teaching for three years at Southern Methodist University, Rezaie joined St. Mary’s University where he is currently Professor and Chair of the Engineering Department. In 1980, Rezaie was awarded a $300,000 research grant by the National Science Foundation (NSF). The research was titled "Rotation Invariant Image Registration" and was geared to investigate rotation invariance of certain features on different images to develop a class of fast algorithms to detect and register rotated objects within the image scene.
He was also co-investigator on a $137,000 research grant awarded to the Department of Engineering by the U.S. Department of Education titled "Development of Academic Program and Acquisition of Equipment for Manufacturing Engineering Degree" in 1980. Recently, he co-authored a $2.1 Million Title V grant awarded to St. Mary’s University by the U.S. Department of Education titled “St. Mary’s University’s Plan to Improve Academic Programs through Instructional Technology."
At St. Mary’s University, he served as the Acting Dean of the School of Science, Engineering, and Technology in 2000. He has taught a variety of electrical engineering courses both at the graduate and undergraduate levels, including Digital Signal Processing, Digital Image Processing, Computer-Aided Circuit Design, Microprocessors, Signals and Systems and Microelectronics. His areas of specialization are signal processing, pattern recognition, robotic vision, medical imaging, adaptive filtering, microcontrollers and embedded systems.
Rezaie is a member of Eta Kappa Nu and Tau Beta Pi honorary societies of engineering. He is the recipient of the 1987-1988 Distinguished Faculty Award, (School of Science, Engineering and Technology), at St. Mary's University; recipient of the Sears-Roebuck Foundation Teaching Excellence and Campus Leadership Award at St. Mary's University during 1991-1992; and recipient of the 1993-1994 Distinguished Faculty Award, (Graduate School), at St. Mary's University. In 2001, Rezaie was selected as a Minnie Stevens Piper Professor in the State of Texas.



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