Curriculum Vitae

Google Scholar

Contact: haiminhu (at) seas.upenn.edu

My Research Wordcloud:


Hello and welcome! I am a second-year master student in the Department of Electrical and Systems Engineering at the University of Pennsylvania. Currently I work in the GRASP Lab with Prof. George Pappas and Prof. Manfred Morari. My research is centered around model predictive control (MPC), multi-agent systems, machine learning and robotics.

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 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.


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 contact me if you are interested in hiring me. Many thanks!

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



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: 3.69/4.0.



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: 3.955/4.0.



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 (in revision).  [Paper]  [Slides]

Conference Papers

Haimin Hu, Konstantinos Gatsis, Manfred Morari and George J. Pappas, “Non-Cooperative Distributed MPC with Iterative Learning.” 21st IFAC World Congress, 2019 (submitted).  [Paper]  [Slides]

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.  [Paper]  [Poster]

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

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.  [Paper]  [Slides]

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.  [Paper]  [Slides]  [Errata]