Nan Li

Nan Li is a mechanical engineer who pursued graduate studies at the University of Michigan, Ann Arbor.2 He received his master's degree in Mechanical Engineering from the University of Michigan and his bachelor's degree from Tongji University.

During his time at the University of Michigan, Nan Li worked as a Graduate Student Research Assistant.2 His research interests and expertise include:

• Nonlinear dynamics
• Control theory
• Automotive engineering
• Aerospace applications

Nan Li has made significant contributions to the field of control systems, particularly in the areas of autonomous vehicle control and decision-making. Some of his notable research work includes:

Autonomous Vehicle Control

• Game-theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems1
• Adaptive game-theoretic decision making for autonomous vehicle control at roundabouts1
• Interaction-aware trajectory prediction and planning for autonomous vehicles in forced merge scenarios1

Decision-Making and Control Algorithms

• Development of finite state machine-based automated driving controllers1
• Application of cognitive hierarchy theory, Bayesian inference, and predictive control in dynamic and interactive environments1
• Exploration of safe reinforcement learning using robust action governor1

Nan Li's research has been widely cited in the academic community, with his publications receiving numerous citations.1 His work has contributed to advancing the field of autonomous vehicle technology and control systems.

Currently, Nan Li has progressed in his career and is now a Professor at Tongji University.1 He continues to focus on research areas such as Control Theory, Automotive engineering, and Aerospace applications.1