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The Networking Channel

Dina Katabi

speaker

Katabi received a bachelor’s degree in electrical engineering from the University of Damascus in 1995, then an M.S in Computer Science and a Ph.D. in Computer Systems Networking and Telecommunications from MIT in 1998 and 2003, respectively. In 2003, Katabi joined MIT, where she holds the title of Professor in the Department of Electrical Engineering and Computer Science. She is the co-director of the MIT Center for Wireless Networks and Mobile Computing and a principal investigator at MIT’s Computer Science and Artificial Intelligence Laboratory. Katabi’s research focused on signals, machine learning and health. Her work started in networks (especially the congestion control challenge), where she found solutions for a better reliability of networks. Then, with her team, she used machine learning and signals to analyze the human body. Based on how RF signals bounce off our bodies, the researchers could measure human breathing, heart rates, emotion and sleep stages, without having the “patient” wear any sensor. Her most recent research combined medicine with AI, where she developed with her team a system capable of diagnosing Parkinson’s Disease.

Nick McKeown

organizer

Nicholas William McKeown FREng is a professor in the Electrical Engineering and Computer Science departments at Stanford University, and a visiting professor at Oxford University. He has also started technology companies in Silicon Valley.