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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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Steven Leeb

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Emanuel E. Landsman (1958) Professor, [EE and CS]

(617) 253-9360

Office: 10-069

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Electronic, Magnetic, Optical and Quantum Materials and Devices
Energy

Latest News

October 5, 2020

A Circuit Board With A View: oscilloscopes from Keysight Technologies enable new insights in EECS teaching labs

A recent donation from Keysight Technologies includes 120 new oscilloscopes, in two cutting-edge models. When the in-person labs of MIT once again fill, the students of EECS will...

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