Fusing AI and Formal Methods for Automated Synthesis
Priyanka Golia
NUS, Singapore and IIT Kanpur
SWS Colloquium
Priyanka Golia is a final year Ph.D. candidate at NUS, Singapore and IIT Kanpur. Her research interests lie at the intersection of formal methods and artificial intelligence. In particular, her dissertation work has focused on designing scalable automated synthesis and testing techniques.
Her work has been awarded Best Paper Nomination at ICCAD-21 and Best Paper Candidate at DATE-23. She was named one of the EECS Rising Stars in 2022. She has co-presented a tutorial on Automated Synthesis: Towards the Holy Grail of AI at AAAI-22 and IJCAI-22, and She is co-authoring an upcoming book (on invitation from NOW publishers) on functional synthesis.
AG 1, AG 2, AG 3, INET, AG 4, AG 5, D6, SWS, RG1, MMCI
We entrust large parts of our daily lives to computer systems, which are becoming increasingly more complex. Developing scalable yet trustworthy techniques for designing and verifying such systems is an important problem. In this talk, our focus will be on automated synthesis, a technique that uses formal specifications to automatically generate systems (such as functions, programs, or circuits) that provably satisfy the requirements of the specification. I will introduce a state-of-the-art synthesis algorithm that leverages artificial intelligence to provide an initial guess for the system, and then uses formal methods to repair and verify the guess to synthesize probably correct system. I will conclude by exploring the potential for combining AI and formal methods to address real-world scenarios.
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