Graduate Programs in Electrical Engineering

The Electrical Engineering and Computer Science Department (EECS) offers the degrees Master of Science and Doctor of Philosophy in Computer Science and the degrees Master of Science and Doctor of Philosophy in Electrical Engineering. These degree programs demand academic rigor and depth yet also address real-world problems. The EECS department has seven areas of research activity that stem from the core fields of Electrical Engineering and Computer Science: (1) Applied Algorithms and Data Structures, (2) Computer Graphics and Image Processing, (3) Energy Systems and Power Electronics, (4) High Performance and Parallel Computing, (5) Information and Systems Sciences, (6) Wireless Networks, and (7) Education. Additionally, students may study areas such as Embedded Systems and/or Robotics, which includes elements from both Computer Science and Electrical Engineering disciplines. Note that in many cases, individual research projects encompass more than one research area.

Areas specifically related to Electrical Engineering include:

  • Computer Graphics and Image Processing interests span scientific visualization, computer graphics, computational geometry and topology, data compression, and medical image analysis.
  • Energy Systems and Power Electronics is focused on both fundamental and applied research in the interrelated fields of conventional electric power systems and electric machinery, renewable energy and distributed generation, energy economics and policy issues, power quality, power electronics and drives. The overall scope of research encompasses a broad spectrum of electrical energy applications including investor-owned utilities, rural electric associations, manufacturing facilities, regulatory agencies, and consulting engineering firms.
  • Information and Systems Sciences is an interdisciplinary research area that encompasses the fields of control systems, communications, signal and image processing, compressive sensing, robotics, and mechatronics. Focus areas include intelligent and learning control systems, fault detection and system identification, computer vision and pattern recognition, sensor development, mobile manipulation and autonomous systems. Applications can be found in renewable energy and power systems, materials processing, sensor and control networks, bio-engineering, intelligent structures, and geosystems.
  • Embedded Systems and Robotics is an emerging area at CSM that merges research in mechanical design, control systems, sensing, and mechatronics to develop automated and autonomous systems that can be used to carry out tasks that are dirty, dangerous, dull, or difficult.

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