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The MIT Stephen A. Schwarzman Faculty of Computing has awarded two inaugural chaired appointments to Dina Katabi and Aleksander Madry within the Division of Electrical Engineering and Pc Science (EECS).
“These distinguished endowed professorships acknowledge the extraordinary achievements of our school and future potential of their educational careers,” says Daniel Huttenlocher, dean of the MIT Schwarzman Faculty of Computing and the Henry Ellis Warren Professor of Electrical Engineering and Pc Science. “I’m delighted to make these appointments and acknowledge Dina and Aleksander for his or her contributions to MIT, the faculty, and EECS, and their efforts to advance analysis and instructing in laptop science, electrical engineering, synthetic intelligence, and machine studying.”
Dina Katabi is the inaugural Thuan (1990) and Nicole Pham Professor. Katabi is being honored as an distinctive school member and for her dedication to mentoring college students. Her work spans laptop networks, wi-fi sensing, utilized machine studying, and digital well being. She is particularly recognized for her work on a wi-fi system that may observe human motion even via partitions — a expertise that has nice potential for medical use.
Katabi is a member of the EECS school and is a principal investigator within the Pc Science and Synthetic Intelligence Laboratory (CSAIL), in addition to director of the Networks at MIT analysis group and co-director of the MIT Middle for Wi-fi Networks and Cellular Computing. Amongst different honors, Katabi has obtained a MacArthur Fellowship, the Affiliation for Computing Equipment (ACM) Prize in Computing, the ACM Grace Murray Hopper Award, two Check of Time Awards from the ACM’s Particular Curiosity Group on Knowledge Communications, a Nationwide Science Basis CAREER Award, and a Sloan Analysis Fellowship. She is an ACM Fellow and was elected to the Nationwide Academy of Engineering.
Aleksander Madry has been named the inaugural Cadence Design Techniques Professor. Established by Cadence Design Techniques, the aim of the place is to assist excellent school with analysis and instructing pursuits within the fields of synthetic intelligence, machine studying, or knowledge analytics. Madry’s analysis spans algorithmic graph principle, optimization, and machine studying. Specifically, he has a robust curiosity in constructing on current machine studying methods to forge a decision-making toolkit that’s dependable and well-understood sufficient to be safely and responsibly deployed in the actual world.
Madry is a member of the EECS school, CSAIL, and the Concept of Computation Group, and is the director of MIT’s Middle for Deployable Machine Studying, which brings collectively the broad experience and focus wanted to deploy machine studying programs.
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