Optimization, Control, Verification, and Safe Machine Learning
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Focuses on optimization and control for trustworthy AI. Builds verification and reachability methods via convex/semidefinite programming, learns Lyapunov and barrier certificates, and develops bilevel and time‑varying optimization to certify safety and performance of neural network–based controllers.
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