Graduate Research Areas

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As a convenience for administering the department doctoral program, research activities in EECS are divided into two Graduate Research Areas.

 

Graduate Area I comprises the following research communities:  

  1. Information, System, and Network Science;  
  2. Integrated Electronic and Photonic Systems; 
  3. Physical Science, Devices, and Nanotechnology;
  4. Bioelectrical and Biomedical Engineering.

 

Graduate Area II comprises the following research communities:  

  1. Artificial Intelligence;
  2. Computer Systems, Networks, and Architecture; 
  3. Theory of Computer Science.  

​Bioinformatics and Computational Biology research is also included in Graduate Area II. 

 

There is significant overlap between the two Graduate Areas, and much research lies in their intersection.   As a result, while every faculty member has a primary affiliation with one of these areas, some faculty also have a secondary affiliation with the other.    Every doctoral student has their program administered through one of the two areas, though this does not in any way constrain the range of research activities in which he or she can get involved, nor the faculty or staff with whom he or she may work.

 

As the wide spectrum of graduate research in EECS at MIT reflects, many advances in electrical engineering and computer science leverage important connections to one or more of mathematics, physics, statistics, materials science, chemistry, biology, medicine, neuroscience, and other fundamental disciplines.  

For example, those interested in any of the large number of opportunities for research at the interface between biology and EECS, which span both Graduate Areas, can learn more by visiting the bioEECS website.

 

Area I: Information Systems (InfoSys)
Lying at the critical interface between computation and the physical world, Information Systems 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 I: Circuits
Research in Area I: Circuits emphasizes electronic circuits and systems, microprocessor based control, and digital and analog signal processing. Design and practical implementation are emphasized. 
Area I: Applied Physics and Devices (ApplPhysDev)
Area I: Applied Physics and Devices 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 I: BioMedical Sciences and Engineering (BioMed)
Area I: BioMedical Sciences and Engineering 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