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Haimin Hu is an incoming Assistant Professor in the Department of Computer Science at Johns Hopkins University, where he is also a member of the Institute for Assured Autonomy and the Laboratory for Computational Sensing and Robotics. His research focuses on the algorithmic foundations of human-centered autonomy, particularly in integrating dynamic game theory with machine learning for safety-critical control. His work aims to create deployable, verifiable, and trustworthy systems for autonomous vehicles, drones, and legged robots. Specifically, his research covers topics such as uncertainty-aware motion planning that enables robots to plan safe and efficient movement while accounting for evolving uncertainties, human-AI co-evolution, and scalable strategic decision-making for multi-robot systems in dynamic environments. Hu has been recognized as a 2025 Robotics: Science and Systems Pioneer and a 2025 Cyber-Physical Systems Rising Star, and has served as an associate editor for the IEEE Robotics and Automation Letters. He earned his PhD in Electrical and Computer Engineering from Princeton University in 2025, a Master of Science in Engineering in Electrical Engineering from the University of Pennsylvania in 2020, and a degree in Electronic Information Engineering from ShanghaiTech University in 2018. He is currently conducting postdoctoral research at the University of Pennsylvania before joining Johns Hopkins full-time as a tenure-track faculty member.
Department of Pathology - PhD in Pathobiology. GRE is not required.