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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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  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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Jacob Andreas

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X-Window Consortium Career Development Assistant Professor of EECS , [AI+D]

617-253-0352

Office: 32-386H

Research Areas

Artificial Intelligence + Machine Learning
Natural Language and Speech Processing

Latest News

Aziza Almanakly, Belinda Li Selected to Receive Clare Boothe Luce Graduate Fellowship for Women

The rigorous selection process for this prestigious fellowship took into account the two students’ outstanding track record of scientific achievement and inquiry, as well as their contributions to the STEM community.

February 19, 2020

Five EECS faculty members named to career development chairs

Clockwise from top left: Professors Andreas, Belay, O'Brien, Agrawal, and Reiskarimian.

January 9, 2019

EECS announces six new faculty members

The new professors are among 11 joining several School of Engineering departments.

MIT Electrical Engineering &
Computer Science Department

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Room 38-401
Cambridge, MA 02139

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