DDLC Seminar: Francesco Borrelli (UC Berkeley)

Description

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: Francesco Borrelli received the Laurea degree in computer science engineering in 1998 from the University of Naples. In 2002 he received the Ph.D. from the Automatic Control Laboratory at ETH Zurich. He is currently a professor at the Department of Mechanical Engineering of the University of California at Berkeley. He is the author of more than one hundred fifty publications in the field of predictive control. He is author of the book Predictive Control published by Cambridge University Press, the winner of the 2009 NSF CAREER Award and the winner of the 2012 IEEE Control System Technology Award. In 2016 he was elected IEEE fellow. In 2017 he was awarded the Industrial Achievement Award by the International Federation of Automatic Control Council.

Since 2004 he has served as a consultant for major international corporations. He was the founder and CTO of BrightBox Technologies, Inc., a company focused on cloud-computing optimization for autonomous systems, acquired by Flex, Inc. in 2016. He was the co-director of the Hyundai Center of Excellence in Integrated Vehicle Safety Systems and Control at UC Berkeley. He is the co-founder of WideSense, Inc., a UC Berkeley spinoff focused on Mobility Contextual Intelligence.

His research interests are in the area of model predictive control and its application to automated driving, robotics, food and energy systems.