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Electrical Engineering (Ph.D.)
Basic Degree Information/Description
The Department of Electrical and Computer Engineering offers advanced coursework integrated with research leading to the Doctor of Philosophy degree in Electrical Engineering. The program has research concentrations in communications, signal processing, computer engineering, micro/nano electronic materials, control and power systems, with emerging emphases in cloud computing, cyber security, autonomous systems, Internet of Things, and machine learning. 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.
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 project 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.
|Required Degree||A student is expected to hold a master’s degree before being granted admission to the program. Only exceptional, well prepared, and highly competitive candidates should apply to enter the Ph.D. program directly upon receiving a bachelor’s degree.|
|Other Degree Requirements||Applicants with a master’s degree must have a grade point average of 3.3 or better in their master’s degree program. Applicants without a master’s degree program must have a grade point average of 3.3 or better in the last 60 semester credit hours of undergraduate coursework in electrical engineering.|
|General University Requirements||Must meet university wide requirements.|
|Application||A completed a Graduate School application.|
|Transcripts||Official transcripts from all institutions attended. All international transcripts must be recorded in English or officially translated to English.|
|Resume or Curriculum Vitae||Required.
|Letters of Recommendation||Letters of recommendation, preferably three, attesting to the applicant's readiness for doctoral study. a|
|Statement of Purpose||A statement of research experience, interests and goals.|
|Test Scores||General GRE, not older than five years old.|
|Evaluation of Foreign Credentials||All applicants including non-U.S. citizens (International), U.S. citizens (Domestic), or permanent residents who have earned university-level credit from foreign institutions are required to submit an evaluation from an approved Foreign Credential Agency of transcripts from all foreign institutions attended. If official transcripts are used in the foreign credential evaluation, the official transcript requirement will be considered met. However, if unofficial documents are used in the foreign credential evaluation, final official transcripts must be sent to UTSA.
|International Applicants||Must meet international graduate student admission requirements
Career Options Available for a Ph.D. Electrical Engineering Graduate
- After graduation, our M.S. and Ph.D. graduates are employed as engineers or researchers in research firms and industries.
- Some of our former doctorate students are working in universities as faculty members.
Research taking place in the Ph.D. 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.
- For more research projects, please refer to our website: http://ece.utsa.edu/research/faculty-research.html