Lihan Lian

Lihan Lian

Robotics enthusiast. Passionate about optimal control and deep learning.

Hi, I’m Lihan Lian (廉立涵).

I am a robotics enthusiast with a deep admiration for the pioneers of modern control theory, including Lev Pontryagin, Richard Bellman, and Rudolf Kalman.

I am passionate about robotics, particularly in areas such as legged robots, robotic manipulation, and autonomous driving. My research interests include, but are not limited to, optimal control, data-driven control, reinforcement learning and imitation learning.

I am looking for Ph.D. opportunities starting in Fall 2026.

To take risks and make mistakes.

About me

I am currently a research assistant at Shanghai Jiao Tong University, supervised by Prof. Wenzhao Lian (连文昭). I earned my Master’s degree in Robotics at the University of Michigan, Ann Arbor, where I was advised by Prof. Uduak Inyang-Udoh in the Autonomous & Intelligent Systems Lab (AI-Sys Lab). My work primarily focuses on applying data-driven methods to solve optimal control problems.

Prior to that, I obtained a Bachelor’s degree in Mechanical Engineering with a minor in Computer Science from the University of Michigan, Ann Arbor. During my undergraduate studies, I was advised by Prof. Jingwen Hu at the University of Michigan Transportation Research Institute (UMTRI), where I worked on parametric human modeling, with a particular emphasis on thoracic spine modeling.

News

  • Jan 17, 2025
    Paper "Co-state Neural Network for Real-time Nonlinear Optimal Control with Input Constraints" has been accepted!
  • Oct 02, 2024
    Our paper "Co-state Neural Network for Real-time Nonlinear Optimal Control with Input Constraints" has been submitted to American Control Conference (ACC) 2025.
  • May 23, 2023
    I am honored to have given an oral presentation at the 18th Injury Biomechanics Symposium on our work concerning parametric thoracic spine modeling.

Education