Data-driven Learning and Control Seminar: Silvia Ferrari (Cornell ECE)

Data Driven Learning and Control seminar series is organized by the Information and Decision Science Lab at Cornell University and aims to explore the latest advancements and interdisciplinary approaches to data-driven learning and control systems.

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Bio: Silvia Ferrari is the John Brancaccio Professor of Mechanical and Aerospace Engineering at Cornell University. Prior to that, she was professor of engineering and computer science at Duke University, and founder and director of the NSF Integrative Graduate Education and Research Traineeship and Fellowship program on Wireless Intelligent Sensor Networks. Currently, she is the director of the Laboratory for Intelligent Systems and Controls at Cornell University and the co-Director of the Cornell-Unibo Věho Institute on Vehicle Intelligence at Cornell Tech. Her principal research interests include active perception, robust adaptive control, learning, and approximate dynamic programming, and control of multiscale dynamical systems. She is the author of the book “Information-driven Path Planning and Control,” MIT Press (2020), and of the TED talk “Do robots dreams of electric sheep?”. She received the B.S. degree from Embry–Riddle Aeronautical University and the M.A. and Ph.D. degrees from Princeton University. She is a Fellow of ASME, a Senior Member of the IEEE and AIAA, and a Member of SPIE and SIAM. She is the recipient of the ONR young investigator award (2004), the NSF CAREER award (2005), and the Presidential Early Career Award for Scientists and Engineers (PECASE) award (2006).