Curriculum Vitae

Contact: haiminhu (at)

My Research Wordcloud:


I am a master student in the Department of Electrical and Systems Engineering at the University of Pennsylvania, working in the GRASP Lab with Prof. George Pappas and Prof. Manfred Morari. I received my bachelor degree with honor in Electronic and Information Engineering from ShanghaiTech University, among the first cohort of bachelor students since the university was founded in 2013. I spent my senior year as a visiting student in the Department of EECS at UC Berkeley.

My research is mainly focused on model predictive control (MPC), with application to robotic and cyber-physical systems.

I worked as a research assistant at Chinese Academy of Sciences (Shanghai) from 2015 to 2017, focusing on robot mapping. I joined the group of Prof. Boris Houska at ShanghaiTech University in 2017, and started to explore the area of tube-based robust MPC. During Summer 2017, I did my research internship at the University of Padova and the National Institute for Nuclear Physics (INFN), Italy, where I contributed to the Fermi-LAT project under the supervision of Prof. Denis Bastieri. From 2017 to 2018 I was a research assistant in the Hybrid Systems Lab at UC Berkeley, advised by Prof. Claire Tomlin.

Outside of research, I like to play video games, watch movies and travel around the world. Photography has been my hobby for years.


Slides for my talk at ACC 2019 on Polytopic Tube MPC (video in below).

I’m looking for PhD positions starting Spring or Fall 2020. Please feel free to contact me if you are interested in hiring me. Many thanks!

New paper: Tuning Communication Latency for Distributed Model Predictive Control (Haimin Hu, Konstantinos Gatsis, Manfred Morari and George J. Pappas) accepted by NecSys 2019!

Appointed as head TA for the course ESE 619 Model Predictive Control (Spring 2020) to be taught by Prof. Manfred Morari at UPenn!

Haimin in a Nutshell



Aug. 2018 – Jun. 2020 (Expected), GRASP Lab, Department of Electrical and Systems Engineering, University of Pennsylvania,

Master of Science in Engineering, GPA: 4.0/4.0.


Sep. 2014 – Jul. 2018, Electronic and Information Engineering, School of Information Science and Technology, ShanghaiTech University,

Bachelor of Engineering, GPA: 3.7/4.0.


Aug. 2017 – Jun. 2018, Hybrid Systems Lab, Berkeley Artificial Intelligence Research (BAIR) Lab, Department of Electrical Engineering and Computer Sciences (EECS), UC Berkeley,

Visiting Student and Research Assistant, GPA: 3.96/4.0.


Jun. 2017 – Oct.2017, Dipartimento di Fisica e Astronomia “Galileo Galilei”, Università degli Studi di Padova,

Research Assistant.


Journal Papers

Mo Chen, Sylvia L. Herbert, Haimin Hu, Ye Pu, Jaime F. Fisac, Somil Bansal, SooJean Han, Claire J. Tomlin, “FaSTrack: a Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking.” IEEE Transactions on Automatic Control, 2018 (submitted).

Conference Papers

Haimin Hu, Konstantinos Gatsis, Manfred Morari and George J. Pappas, “Tuning Communication Latency for Distributed Model Predictive Control.” 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019 (accepted).

Xuhui Feng, Haimin Hu, Mario E. Villanueva and Boris Houska, “Min-max Differential Inequalities for Polytopic Tube MPC.” American Control Conference, 2019. [pdf]

Haimin Hu, Ye Pu, Mo Chen and Claire J. Tomlin, “Plug and Play Distributed Model Predictive Control for Heavy Duty Vehicle Platooning and Interaction with Passenger Vehicles.” 57th IEEE Conference on Decision and Control, 2018. [pdf]

Haimin Hu, Xuhui Feng, Rien Quirynen, Mario E. Villanueva and Boris Houska, “Real-Time Tube MPC Applied to a 10-State Quadrotor Model.” American Control Conference, 2018. [pdf]