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CAREER: From Neural Network Verification to General SMT Solving: A New Framework for Solving SMT over Non-linear Real Arithmetic

Organization University of Illinois at Urbana-ChampaignLocation URBANA, United StatesPosted 1 Aug 2026Deadline 31 Jul 2031
NSFUS FederalResearch GrantScience FoundationIL
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Description preview

Satisfiability Modulo Theories (SMT) problems are akin to mathematical puzzles: given a mix of equations and logical rules, an SMT solver determines whether there exists an assignment of variables that satisfies everything at once. SMT solving underpins high-stakes assurance tasks: for example, proving that a self-driving car cannot steer into an…

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CAREER: From Neural Network Verification to General SMT Solving: A New Framework for Solving SMT over Non-linear Real Ar | Dev Procure