Doctor of Philosophy in Electrical Engineering- Signal Processing and Communications

Signal processing is the art and science of extracting information from data. It is essential to a variety of emerging technologies, from next-generation WiFi and cellular communications to state-of-the-art imaging systems to bleeding-edge machine learning and big data techniques. Students in this concentration will learn the tools of modern signal processing, will sharpen their mathematical and statistical intuition, and will apply their skills to practical problems that will prepare them for careers in digital communication, image processing, and machine learning. The Wayne State University College of Engineering offers two doctoral degrees:Doctor of Philosophy in Computer Engineering, Doctor of Philosophy in Electrical Engineering. A minimum of 90 graduate credits (semester) beyond the baccalaureate degree is required for the completion of the Ph.D. program. The division of these credits will be basically as follows: At least 12 credits of coursework in the major (not including directed study or research credit). At least one minor composed of six or more credits elected within or outside the major department (no minor is required for students entering the Ph.D. Program in Fall 2012 or after).Two credits of Doctoral Seminar (ECE 9997). Thirty additional credits of coursework, pre-dissertation research and directed study. Thirty credits earned in four consecutive Candidate Status semesters after candidacy has been approved.

The Ph.D. program in electrical engineering in the Department of Electrical and Computer Engineering is aimed at preparing its graduates to become leaders in research and development in industry, academia, as well as government organizations. Under guidance of faculty members, Ph.D. students do research in areas such as micro-/nano-electronic and photonic devices and systems, circuits and system-on-chip, power systems and sustainable energy, signal/image processing and communication, intelligent control and robotics, electric vehicle and e-mobility. Students work in research labs in ECE Department equipped with state-of-the-art instrumentation. Depth and breadth of studies is further enhanced by research seminars featuring invited speakers who are leading experts in industry and academia.

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