Email: haiminh (at) princeton.edu
My Research Wordcloud:
Hello and welcome! I am a third-year Ph.D. candidate in the Department of Electrical and Computer Engineering at Princeton University, advised by Professor Jaime Fisac. My research is centered around learning for control, human-robot interactions (HRI), model predictive control (MPC) and multi-agent systems.
I did my masters in the Department of Electrical and Systems Engineering at the University of Pennsylvania. I was fortunate to work with Professors George Pappas, Manfred Morari and Nikolai Matni in the GRASP Lab. I won the 2020 SEAS Outstanding Research Award.
I received my bachelor degree with honor in Electronic and Information Engineering from ShanghaiTech University, proudly among its first cohort of bachelor students since the university was founded in 2013. During my senior year I studied as a visiting undergraduate student in the Department of EECS at UC Berkeley.
During my undergraduate years, I worked with Prof. Boris Houska at ShanghaiTech University on the topic of tube-based robust MPC via min-max differential inequalities. From 2017 to 2018 I was a research assistant in the Hybrid Systems Lab at UC Berkeley, working on trajectory planning and distributed MPC, advised by Prof. Claire Tomlin.
New preprint “Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach” is out! This work contains results obtained during my internship at Honda Research Institute USA in Summer 2022.