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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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David Gifford

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Professor of CS and Engineering (Post-Tenure), [AI+D and CS]

(617) 253-6039

Office: 32-G542

Research Areas

AI for Healthcare and Life Sciences
Artificial Intelligence + Machine Learning

Latest News

January 5, 2022

Nonsense can make sense to machine-learning models

Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.

December 2, 2021

2021 EECS Awards

It’s nearing the end of 2021, and we want to celebrate the accomplishments and contributions of our incredible EECS community by sharing some of the awards given by...

EECS Masterworks 2019: Celebrating Thesis Research

About 40 current students and recent graduates discussed their master's-thesis research in areas ranging from robotics to clinical imaging to Internet of Things tracking devices.

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Computer Science Department

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