Sanjit A. Seshia is a Professor in the Department of Electrical
Engineering and Computer Sciences at the University of California, Berkeley.
He received an M.S. and Ph.D. in Computer Science from Carnegie Mellon
University, and a B.Tech. in Computer Science and Engineering from the Indian
Institute of Technology, Bombay. His research interests are in dependable
computing and computational logic, with a current focus on applying automated
formal methods to problems in cyber-physical systems, computer security,
electronic design automation, and synthetic biology.
His Ph.D. thesis work on the UCLID verifier and decision procedure
helped pioneer the area of satisfiability
modulo theories (SMT) and SMT-based verification.
He is co-author of a widely-used textbook on embedded, cyber-physical
systems and has led the development of technologies for cyber-physical
systems education based on formal methods.
His awards and honors include a Presidential Early Career Award for
Scientists and Engineers (PECASE),
an Alfred P. Sloan Research Fellowship,
the Frederick Emmons Terman Award for contributions to electrical
engineering and computer science education,
the Donald O. Pederson Best Paper Award for the IEEE Transactions on CAD,
and the School of Computer Science
Distinguished Dissertation Award at Carnegie Mellon University.
He is a Fellow of the IEEE.