Mixed Monotonicity and Contraction in Physical Flow Networks with Applications to Transportation Networks
Sam Coogan is an Assistant Professor in the Electrical Engineering Department at UCLA. He received the B.S. degree in Electrical Engineering from Georgia Tech (2010), and the M.S. and Ph.D. degrees in Electrical Engineering from the University of California, Berkeley (2012 and 2015). In 2015, he was a postdoctoral research engineer at Sensys Networks, a wireless traffic sensing company, and in 2012 he was a research intern at NASA's Jet Propulsion Lab. He received the Eli Jury Award from UC Berkeley EECS in 2016 for "outstanding achievement in the area of systems, communications, control, or signal processing", the Leon O. Chua Award from UC Berkeley EECS in 2014 for "outstanding achievement in an area of nonlinear science", and the best student paper award at the 2015 Hybrid Systems: Computation and Control conference. His research focuses on developing scalable tools for verification and design of networked cyber-physical systems and especially focuses on creating efficient and intelligent transportation systems.