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- Electrical Engineering
  
  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.
- Artificial Intelligence + Decision-making
  
  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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Alfred Henry (1929) and Jean Morrison Hayes Career Development Professor; Assistant Professor, [EE]

Office: 36-393

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Biological and Medical Devices and Systems
Electronic, Magnetic, Optical and Quantum Materials and Devices
Optics + Photonics

Latest News

December 18, 2024

Noninvasive imaging method can penetrate deeper into living tissue

Using high-powered lasers, this new method could help biologists study the body’s immune responses and develop new medicines.

October 1, 2024

2024-25 EECS Faculty Award Roundup

This ongoing listing of awards and recognitions won by our faculty is added to all year, beginning in September.

Last-minute pivot leads to record-setting Microsystems Annual Research Conference

Virtual conference gathered students, faculty, and industry partners to explore the future of microsystems and nanotechnology.

November 30, 2021

EECS Graduate Women’s Annual Research Summit Increases Research Visibility and Strengthens Community

Summit features the latest research of women and other underrepresented genders in MIT EECS, along with an opportunity to network, share experiences, and learn.

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Computer Science Department

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