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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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Connor Wilson Coley

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Heyny Slezynger Career Development Professor, Assistant Professor / Shared appointment in ChemE, [AI+D]

(617) 253-9218

Office: 66-548

Research Areas

Artificial Intelligence + Machine Learning
Biological and Medical Devices and Systems

Latest News

February 13, 2023

Connor Coley, Dylan Hadfield-Menell named AI2050 Early Career Fellows

Department of EECS Assistant Professors Connor Coley and Dylan Hadfield-Menell have been named to the inaugural cohort of AI2050 Early Career Fellows by Schmidt Futures, a philanthropic initiative from Eric and Wendy Schmidt aimed at helping to solve hard problems in AI.

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.

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