Ph.D. in Electrical Engineering

The Department of Electrical Engineering offers advanced coursework integrated with research leading to the Doctor of Philosophy degree in Electrical Engineering. The program has emphases in Signals and Systems (communications, signal processing, digital systems, and control).

The Ph.D. in Electrical Engineering will be awarded to candidates who have displayed an in-depth understanding of the subject matter and demonstrated the ability to make an original contribution to knowledge in their field of specialty.

Program Information

Why Pursue a Ph.D. in Electrical Engineering?

  • The Ph.D. program in Electrical Engineering, M.S. program in Electrical Engineering and M.S. program in Computer Engineering offer opportunities in both advanced course work and research projects to prepare students for leadership roles in engineering careers with industry, government, or educational institutions.
  • Our graduate programs stress both theoretical and practical aspects of Electrical and Computer Engineering by combining the teaching and research expertise of the university community with the resources of other San Antonio research institutions.
  • The graduate faculty in Electrical and Computer Engineering are very active in conducting cutting-edge research projects which provide both research experiences and financial supports for our graduate students.

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Research Taking Place in the Ph.D. in Electrical Engineering Program

The research in our graduate programs at the Department of Electrical and Computer Engineering mainly focuses on five concentrations:

Communications
Fiber optic communications, fiber optic sensors, coding and error correction, control of communication networks, positioning and navigation algorithms, GPS, signal processing for communications, digital communications systems, wireless mobile communications, information theory, and signal detection and estimation.
Computer and Digital Systems
Parallel and distributed computing, routing in computer networks, network intrusion detection, computer architecture, ASICs, RISC processors, microprocessor based systems, VLSI design and testing, CAD tools, HDL modeling and FPGA implementation, computer graphics hardware and software parallelism, visualization techniques, information science, optimization and forecasting, digital systems, multimedia and network processors, low power VLSI systems, and reconfigurable computing.
Signal and Image Processing
Signal and image processing, visual communication, and quantum information processing and communication, signals and systems, tomographic imaging, processing biomedical images FISH (Fluorescence In Situ Hybridization), theory of fast unitary transforms, robust linear and nonlinear filters, morphological image processing, statistical signal processing, Bayesian methods, sampling-based approaches.
Systems and Control
Intelligent systems, neural networks and fuzzy systems, adaptive learning, data mining, networking, diagnosis and prognosis, health monitoring, and robotics and automation, Complex Systems, Computational Intelligence, System of Systems Engineering, Mechatronics, Neuro-fuzzy techniques, robotics and intelligent networks/systems, robust and adaptive control, stabilization of nonlinear systems, optimal control, homogeneous systems theory, aerospace systems and power plants.
Microelectronics and Microdevices
This concentration area provides students with balanced training in theory and experimentation in the areas of analog and mixed signal integrated circuit design, microsystems technology (MEMS), RF and Microwave devices. Research emphasis covers such diverse topics as wireless transceivers, data converters, power management, VLSI, micromirror arrays, MEMS microwave devices, Bio-MEMS, photonic crystals, microfluidics, sensor arrays, microchemical reactors, micropropulsion and energy harvesting schemes. Graduates are well qualified to seek employment in semiconductor manufacturing, aerospace, telecommunications, petrochemical industry, food and chemical processing, microelectronics research and development, health care and other industries requiring analog circuitry, sensing schemes or the application of microdevices.

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Funding Opportunities

Research stipends and scholarships will be posted to the College of Engineering Scholarships page as they become available.

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Course Scheduling and Offerings

Our graduate courses are offered mostly in afternoon and evening. About half of the courses are taught in the afternoon (2 p.m. - 5 p.m.) and another half in the evening (5 p.m. - 8:15 p.m.).

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Career Options Available for an Electrical Engineering Graduate

  • After graduation, our MS and PhD graduates are employed as engineers or researcher in research firms and industries.
  • Some of our former doctorate students are working in universities as faculty members.

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Ph.D. in Electrical Engineering Admission Requirements and Deadlines

Admissions requirements and pre-requisites
For more specific requirements, please visit the Online Graduate Catalog.
Specific Degree Requirements
N/A
Graduate Studies Application
Yes
Department Application
No
Test Scores
General GRE required
Resume or CV
Yes
Letters of Recommendation
3 L/R required
Statement of Purpose
Yes
Minimum TOEFL Score
550 paper/79 internet

Please visit the Graduate Admissions Deadline page for a list of application deadlines.

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