معرفی
Bin Hu is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, affiliated with the Coordinated Science Laboratory. His research bridges control theory and machine learning, focusing on certifiable robustness of AI models, generative AI for control, and control-theoretic analysis of optimization algorithms.
- PhD, Aerospace Engineering and Mechanics, University of Minnesota (2016)
- Postdoctoral Research, Wisconsin Institute for Discovery, University of Wisconsin-Madison (2016-2018)
- B.Sc, Theoretical and Applied Mechanics, University of Science and Technology of China (2008)
- M.S., Computational Mechanics, Carnegie Mellon University (2010)
His work spans machine learning control, robust neural network design, and policy optimization, with recent emphasis on adversarial attacks in LLMs and stability analysis using control tools. His publications highlight integration of Lyapunov theory, semidefinite programming, and reinforcement learning for control problems.
- NSF CAREER award (2021)
- Amazon Research Award (2020, 2024)
- O. Hugo Schuck Best Paper Award (2024)
- AFOSR grant for control verification (2023)
Bin Hu has advised students like Xingang Guo and led research projects on Lipschitz neural networks, policy gradient methods, and LLM-based control engineering, while teaching courses such as Digital Signal Processing, Control Systems, and advanced topics on the interplay between control and machine learning.
