MIT Schwarzman College of Computing welcomes seven new faculty for 2026
Faculty members serve in core computing and shared roles, bringing a wide range of experiences and areas of expertise to the MIT community.
Faculty members serve in core computing and shared roles, bringing a wide range of experiences and areas of expertise to the MIT community.
The newest MIT engineering faculty are conducting research across a diverse range of subject areas.
With up to $53 million from ARPA-H, the researchers will use AI to generate safer herbicides that reduce dependence on imports and improve the security of the U.S. food supply.
By learning how matter moves, the WorldParticle system could assist with developing soft robots, medicines, and more.
The MIT Quilt Show, featuring more than 40 quilted projects from 20 members of the MIT community, drew almost 1,000 visitors over three days.
A new system identifies and corrects unreliable object descriptions stored in a robot’s memory, improving the robot’s ability to interact with its environment.
Awarded up to $38 million from ARPA-H, the team aims to create a low-power, noninvasive sensor patch that measures heart failure and sepsis biomarkers in real-time.
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
The Social.Wiki framework enables anyone to easily edit social websites within the system, while allowing them to choose the content they see.
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
Longtime EECS adjunct professor and LIDS researcher was known for an influential essay on the need for engineers to “respect the unstable.”
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
The team took first prize in both the Prototype and Digital Twin tracks for its lunar waste recycling system.