Summary
Haimin Hu is a postdoctoral researcher focused on trustworthy robots that learn and teach, with eight years of research experience spanning control, safe autonomy, and human-aware interaction. He completed a PhD in Electrical and Computer Engineering at Princeton after graduate work at UPenn’s GRASP Lab and visiting research at UC Berkeley, and now continues his work at the University of Pennsylvania. Haimin’s background blends theory and practice—distributed and robust MPC, Hamilton-Jacobi reachability, and game-theoretic motion planning—tested through internships at Toyota and Honda Research Institutes. He collaborates across disciplines with experts in control, learning, and safety, and brings a pragmatic interest in making robot learning interpretable and reliable. Outside academia he signals a reflective mindset—“Life swings like a pendulum”—which echoes his research balance between stability and adaptability.
8 years of coding experience
8 years of employment as a software developer
Master of Science in Engineering - MSE Electrical Engineering, Master of Science in Engineering - MSE Electrical Engineering at University of Pennsylvania
Visiting Student Electrical Engineering and Computer Sciences (EECS), Visiting Student Electrical Engineering and Computer Sciences (EECS) at University of California, Berkeley
Bachelor of Engineering - BE Electronic and Information Engineering, Bachelor of Engineering - BE Electronic and Information Engineering at ShanghaiTech University
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at Princeton University
Chinese, English, Spanish