Sanjit A. Seshia: Faculty Home Page
Sanjit A. Seshia
Biography
Sanjit A. Seshia is the Cadence Founders Chair 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 formal methods for dependable and secure computing, with a current focus on the areas of cyber-physical systems, computer security, machine learning, and robotics. He has made pioneering contributions to the areas of satisfiability modulo theories (SMT), SMT-based verification, and inductive program synthesis. 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, the IEEE Technical Committee on Cyber-Physical Systems (TCCPS) Mid-Career Award, the Computer-Aided Verification (CAV) Award, and the Distinguished Alumnus Award from IIT Bombay. He is a Fellow of the ACM and the IEEE.
Education
2005, Ph.D., Computer Science, Carnegie Mellon University
2000, M.S., Computer Science, Carnegie Mellon University
1998, B.Tech., Computer Science, Institute of Technology, Bombay
Research Areas
Cyber-Physical Systems and Design Automation (CPSDA)
Control, Intelligent Systems, and Robotics (CIR)
Dependable Computing; Computational Logic; Formal Methods
Research Centers
Agile Design of Efficient Processing Technologies (ADEPT)
Berkeley Artificial Intelligence Research Lab (BAIR)
Berkeley Center for Responsible, Decentralized Intelligence (RDI) (RDI)
Industrial Cyber-Physical Systems Center (iCyPhy)
Verified Human Interfaces, Control, and Learning for Semi-Autonomous Systems (VeHICaL)
Teaching Schedule
CS C249A. Introduction to Embedded Systems, MoWe 14:00-15:29, Soda 306
EECS 149. Introduction to Embedded and Cyber Physical Systems, MoWe 14:00-15:29, Soda 306
EE C249A. Introduction to Embedded Systems, MoWe 14:00-15:29, Soda 306