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  Electrical Engineers design systems that sense, process, and transmit energy and information. We leverage computational, theoretical, and experimental tools to develop groundbreaking sensors and energy transducers, new physical substrates for computation, and the systems that address the shared challenges facing humanity.
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  Computer science deals with the theory and practice of algorithms, from idealized mathematical procedures to the computer systems deployed by major tech companies to answer billions of user requests per day.
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  Artificial Intelligence and Decision-making combines intellectual traditions from across computer science and electrical engineering to develop techniques for the analysis and synthesis of systems that interact with an external world via perception, communication, and action; while also learning, making decisions and adapting to a changing environment.
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Alan Oppenheim

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Ford Professor of Engineering (Post-Tenure), [EE and CS, AI+D]

(617) 253-4177

Office: 36-615D

Research Areas

Quantum Computing, Communication, and Sensing
Signal Processing
Systems Theory, Control, and Autonomy

Latest News

December 6, 2019

Restructuring EECS

The Institute's largest academic department reorganizes with new leadership as part of the formation of the MIT Schwarzman College of Computing. Clockwise from top left: Asu Ozdaglar, Joel Voldman, Arvind, and Antonio Torralba.

Roundup: EECS faculty awards, prizes, fellowships, and other honors, 2018-2019

Constantinos Daskalakis and Vivienne Sze were among more than 40 EECS faculty members honored for excellence over the past academic year.

December 4, 2018

Professor Alan Willsky to be honored for achievements in signal processing

The long-time EECS faculty member will receive the IEEE’s 2019 Jack S. Kilby Signal Processing Medal.

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