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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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Sangeeta Bhatia

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Faculty AI+D
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John and Dorothy Wilson Professor of EECS, [EE and AI+D]

sbhatia@mit.edu

(617) 324-0221

Office: 76-453

Research Areas

Biological and Medical Devices and Systems
Computational Fabrication and Manufacturing
Nanoscale Materials, Devices, and Systems

Latest News

New sensor sniffs out pneumonia on a patient’s breath

The technology could enable fast, point-of-care diagnoses for pneumonia and other lung conditions.

Injectable “satellite livers” could offer an alternative to liver transplantation

The engineered tissue grafts could take on the liver’s function and help thousands of people with liver failure.

January 7, 2026

AI-generated sensors open new paths for early cancer detection

Nanoparticles coated with molecular sensors could be used to develop at-home tests for many types of cancer.

Women in STEM — A celebration of excellence and curiosity

An MIT Values event showcased three women's career journeys and how they are paving the way for the next generation.

December 20, 2023

MIT’s tiny technologies go to Washington

Cancer nanomedicine was on display at the 2023 White House Demo Day.

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