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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.
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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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Jonathan Ragan-Kelley

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Associate Professor, [CS and AI+D]

801-913-0101

Office: 32-D462

Research Areas

Graphics and Vision
Programming Languages and Software Engineering

Latest News

High-performance computing, with much less code

The Exo 2 programming language enables reusable scheduling libraries external to compilers.

Creating bespoke programming languages for efficient visual AI systems

Associate Professor Jonathan Ragan-Kelley optimizes how computer graphics and images are processed for the hardware of today and tomorrow.

2023 EECS Awards

The EECS community came together to celebrate faculty, student, and staff achievements over the past year.

September 30, 2022

2022-23 EECS Faculty Award Roundup

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

MIT Electrical Engineering &
Computer Science Department

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Room 38-401
Cambridge, MA 02139

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