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Department of EECS Announces 2024 Promotions

February 28, 2024

The Department of Electrical Engineering and Computer Science (EECS) is proud to announce multiple promotions.

Device could jumpstart work toward quantum internet

February 5, 2024

Solves paradox associated with transmission of quantum information

Study: Smart devices’ ambient light sensors pose imaging privacy risk

January 31, 2024

The ambient light sensors responsible for smart devices’ brightness adjustments can capture images of touch interactions like swiping and tapping for hackers.

Self-powered sensor automatically harvests magnetic energy

January 22, 2024

A system designed at MIT could allow sensors to operate in remote settings, without batteries.

Researchers safely integrate fragile 2D materials into devices

December 20, 2023

The advance opens a path to next-generation devices with unique optical and electronic properties.

2023-24 EECS Faculty Award Roundup

October 10, 2023

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

Team including MIT electrical engineer James Fujimoto wins Lasker Award

September 21, 2023

Professor James Fujimoto and two additional MIT affiliates honored for influential work on optical coherence tomography, which allows rapid detection of retinal disease, among other applications.

MIT engineers “grow” atomically thin transistors on top of computer chips

May 2, 2023

A new low-temperature growth and fabrication technology allows the integration of 2D materials directly onto a silicon circuit, which could lead to denser and more powerful chips.

Louis Braida, hearing aid innovator and mentor, dies at 79

November 3, 2022

Louis Braida, the Henry Ellis Warren (1894) Professor (Emeritus) in the Department of Electrical Engineering and Computer Science (EECS), died Sept. 2nd. He was 79. Braida was a

Collin Stultz named co-director and MIT lead of the Harvard-MIT Program in Health Sciences and Technology

June 23, 2022

MIT professor will leverage his research into machine learning and computer science, as well as his role as a practicing cardiologist, toward educating clinician-scientists and engineers.