Graduate Research Areas

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For purposes of administering the department doctoral program, research is considered to be carried out in five Graduate Areas* in the EECS Department. Each Area website (I, II, III, IV and VII) is viewable via the links provided below. For more information about the EECS graduate program, inquire at the Graduate Office and see the page on EECS Research Fields. *Note that Computer Science is defined by three groups Artificial Intelligence, Systems, and Theory. Visit the Computer Science and Artificial Intelligence (CSAIL) research groups for more detail.  

Please note that in addition to Area VII, Biomedical Sciences and Engineering, you can explore bioEECS for further information.

 Area I: Systems, Communication, Control, and Signal Processing
Lying at the critical interface between computation and the physical world, Area I bridges the more traditionally computer science centric and more traditionally electrical engineering centric areas of the department. 
Area II: Computer Science: AI, Systems, Theory
Academic programs for graduate students in the field of computer science lead to the Master of Engineering, Master of Science, Engineer's, and either Doctor of Philosophy or Doctor of Science degree. 
Area III: Electronics, Computers, and Systems
Research in Area III emphasizes electronic circuits and systems, microprocessor based control, and digital and analog signal processing. Design and practical implementation are emphasized. 
Area IV: Engineering Physics
Area IV Engineering Physics uses the foundation and underlying principles of physics to enable the engineering of complex integrated systems. The highlighted topics are electromagnetics, photonics, power, energy materials, devices, microsystems, nanotechnology, and physics of information.
Area VII: BioMedical Sciences and Engineering
The BioMedical Sciences and Engineering Area within EECS is composed of EECS faculty and students who work at the cutting edge of engineering and/or medicine. Our collective goal is to understand complex biological systems and/or engineer systems that solve important biological problems. Related: bioEECS