Graduate Research

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Almost all of the research by MIT EECS faculty, staff, and students is carried out in interdepartmental laboratories, centers, and programs. The primary labs include the Computer Science and Artificial Intelligence Lab (CSAIL), the Laboratory for Information and Decision Systems (LIDS), the Microsystems and Technology Laboratories (MTL) and the Research Laboratory of Electronics (RLE). For a complete list of laboratories, centers and programs at MIT, visit http://web.mit.edu/research/.

For purposes of administering the department doctoral program, research is considered to be carried out in five Graduate Areas (including three subdivisions in Computer Science: Artificial Intelligence, Systems, and Theory):
 

Graduate Research Areas

Research Supervisors

EECS Research Fields

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