DDLC Seminar: Samuel Coogan (Georgia Tech)

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: Sam Coogan is an associate professor with the School of Electrical and Computer Engineering and the School of Civil and Environmental Engineering at the Georgia Institute of Technology. He received the B.S. degree in electrical engineering from Georgia Tech and the M.S. and Ph.D. degrees in electrical engineering from the University of California, Berkeley. In 2015, he was a postdoctoral research engineer at Sensys Networks, Inc., and in 2012 he spent time at NASA’s Jet Propulsion Lab. Before joining Georgia Tech in 2017, he was an assistant professor in the Department of Electrical Engineering at UCLA from 2015-2017.

His research is in the area of control theory and autonomy and focuses on developing scalable tools for verification, safety assurance, and control of robotic and cyber-physical systems with an emphasis on transportation systems. His research contributes to and draws from domains including dynamical systems, nonlinear and hybrid control theory, formal methods, learning in probabilistic systems, and optimization.

Coogan’s awards and recognitions include the 2020 Donald P Eckman Award from the American Automatic Control Council recognizing “an outstanding young engineer in the field of automatic control”, a Young Investigator Award from the Air Force Office of Scientific Research in 2019, a CAREER Award from the National Science Foundation in 2018, and the Outstanding paper award for the IEEE Transactions on Control of Network Systems in 2017.