MIT EECS

David Huang ’85, SM ’89, PhD ’93 didn't set out to change ophthalmology as a student in electrical engineering--but he was interested in applying an engineering mindset to complicated medical problems. The rest is history: https://lnkd.in/etBxMy-6

Associate Professor Jelena Notaros and her team have developed a novel silicon-photonics chip design that could fuel the development of advanced lidar sensors for demanding applications like autonomous vehicle navigation, aerial surveying, and construction site monitoring. https://lnkd.in/ezg3EkZM

Sixian You, the Alfred Henry (1929) and Jean Morrison Hayes Career Development Professor in the MIT Department of Electrical Engineering and Computer Science, has been promoted from Assistant Professor to Associate Professor. You is affiliated with the MIT Research Laboratory of Electronics (RLE), where her research focuses on biophotonics and microscopy, with an emphasis on developing optical hardware and machine learning algorithms to overcome longstanding imaging limitations (depth, resolution, contrast, and speed) for biomedical translation. Specifically, she has developed new methods to allow noninvasive imaging of living intact biological systems at high spatiotemporal resolution deep within intact tissue, without exogenous labels and without perturbing biological function. You’s methods have applications ranging from point-of-procedure surgical imaging, to in vivo cancer imaging, to in vitro organoid monitoring. You earned her BS from HUST and her PhD from UIUC, and completed a postdoc at UC Berkeley before joining MIT EECS in 2021.

Congratulations to Muriel Medard on this well-deserved honor!

"Silent" heart attacks are usually chalked up to indigestion or fatigue; but if you've had one heart attack already, your odds of dying from a second are much higher. With support from the the MIT Human Insight Collaborative, Professors Esther Duflo and Marzyeh Ghassemi are using machine learning to help identify patients who may have had silent attacks--and who could benefit from a simple and inexpensive preventative regimen to keep another heart attack at bay. https://lnkd.in/eepqekye

One of the most promising applications for AI is optimizing the power grid, which would improve efficiency, increase resilience to extreme weather, and enable the integration of more renewable energy. Priya Donti, a professor in MIT EECS, is currently conducting research in this area. She explains that “we need to maintain an exact balance between the amount of power that is put into the grid and the amount that comes out at every moment in time.” “One way AI can be helpful is to use a combination of historical and real-time data to make more precise predictions about how much renewable energy will be available at a certain time. This could lead to a cleaner power grid by allowing us to handle and better utilize these resources,” she said. https://lnkd.in/eCYxhMgG

CSAIL Director & MIT Professor Daniela Rus has been named to AI Magazine's Top 100 Women in AI 2026 for her groundbreaking work in robotics & autonomy. The list recognizes senior executives who are shaping AI in the real world across global organizations: https://lnkd.in/evFNXa4g

A team, including researchers in MIT EECS, developed an AI-driven robotic assembly system that allows people to build physical objects simply by describing them in words. Their system uses a generative AI model to build a 3D representation of an object’s geometry based on the user’s prompt. Then, a second generative AI model reasons about the desired object and figures out where different components should go, according to the object’s function and geometry. The system can automatically build the object from a set of prefabricated parts using robotic assembly. It can also iterate on the design based on feedback from the user. https://lnkd.in/etBR3jiK

The department is so pleased to congratulate Nickolai Zeldovich, one of the 2026 MacVicar Faculty Fellows and a "dedicated teacher of teachers": https://lnkd.in/ebpG8hzj