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Foundations of Information, Networks, and Decision Systems

Optimization & Control Theory

Recent technological advancements have produced a “data revolution” in which low-cost ubiquitous sensors and fast processing capabilities are generating unprecedented amounts of raw data. A main focal area of the FIND group is the design and analysis of novel reliable and private algorithms that locally process data and support real-time decision making and control. To that end, the group leverages modern data-driven optimization, machine learning and control techniques. 

Specific research areas: Artificial intelligence, chance constrained optimization, reinforcement learning, signal and image processing.

Faculty members: Bitar, Delchamps, Bojanczyk, Lee Yu, Parise, Tong, Tang, Udell, You, Zhao

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