Intelligent Control and Estimation of Things Lab
Jul 1, 2024
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1 min read
Safe learning and control for autonomous systems, with formal constraint-satisfaction and safety guarantees
- Constrained neural networks and hard constraint satisfaction
- Safe-by-design neural network controllers and control barrier functions
- Model predictive control, reachability analysis, and safety-critical autonomy
Authors
Ph.D. Candidate
I am a second-year Ph.D. student in Mechanical Engineering at Northeastern University, advised by Prof. Sze Zheng Yong. My research lies at the intersection of control theory and machine learning, with a focus on data-driven control with constraint satisfaction, as well as safe planning and control under uncertainty.
I received my M.S. in Mechanical Engineering from the University of Illinois Urbana-Champaign (UIUC), where I was advised by Prof. Naira Hovakimyan. Prior to that, I earned my B.Eng. in Electronic and Information Engineering from The Hong Kong Polytechnic University (PolyU).