Tuesday, April 17, 2012
Speaker: Sanjit Seshia
Venue: IST Austria
@Mondi 3, from 16:00
Even with impressive advances in automated formal methods, certain problems in system verification and synthesis remain challenging. Examples include the verification of quantitative properties of software involving constraints on timing and energy consumption, and the automatic synthesis of systems from specifications. The challenges mainly arise from three sources: environment modeling, incompleteness in specifications, and the complexity of underlying decision problems.
In this talk, I will present SCIDUCTION, a methodology to tackle these challenges. Sciduction combines inductive inference (learning from examples), deductive reasoning (such as SAT/SMT solving), and structure hypotheses. We have demonstrated several applications of sciduction including timing analysis of embedded software, synthesis of loop-free programs, synthesis from temporal logic (LTL), term-level verification of hardware (RTL) designs, and switching logic synthesis of hybrid systems. This talk will present some core theory, a couple of illustrative applications, and directions for future work.
Biography: Sanjit A. Seshia is an Associate 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 embedded systems, electronic design automation, computer security, and program analysis. His 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 textbook on embedded systems. He has received a Presidential Early Career Award for Scientists and Engineers (PECASE), an Alfred P. Sloan Research Fellowship, and the School of Computer Science Distinguished Dissertation Award from Carnegie Mellon University.