Photo Credit: Christa Ernst
My research is in the area of dynamical systems and autonomy and focuses on developing scalable tools for verification and control of robotic and cyber-physical systems. I am especially interested in applying these tools to create efficient, intelligent, and autonomous transportation systems. My research contributes to and draws from domains including control theory, nonlinear and hybrid systems theory, formal methods, learning in probabilistic systems, and optimization.
Sam Coogan 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 was a research intern at NASA's Jet Propulsion Lab. Before joining Georgia Tech in 2017, he was an assistant professor in the Electrical Engineering department at UCLA from 2015–2017.
Notable Honors and Awards: