Email: haiminh (at) princeton.edu
Hello and welcome! I am a first year PhD student in the Department of Electrical Engineering at Princeton University, working with Professor Jaime Fisac. My research is centered around learning for control, convex optimization, model predictive control (MPC), multi-agent systems and robotics.
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 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.
I started my first research project on robot control and navigation at Chinese Academy of Sciences (Shanghai) in 2015. Two years later in 2017 I joined the group of Prof. Boris Houska at ShanghaiTech University and began to explore the area of tube-based robust MPC. During Summer 2017, I did my research internship at the University of Padova and contributed to the Fermi-LAT project using machine learning tools, under the supervision of Prof. Denis Bastieri. 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.
Outside of research, I like to play video games, watch motorsport games (mostly Formula 1 races) and travel around the world. Photography has been my hobby for years.