B.S. in Mathematics and Computer Science, Ho Chi Minh City University of Pedagogy, Vietnam
M.S. in Mathematics, University of Orleans, France
Ph.D. in Mathematics, 2016, Wayne State University, USA
Research Interests: Control Theory
After earning his Ph.D., Tan H. Cao worked as a mathematics lecturer at Vietnamese-German University in Vietnam. His interests mainly focus on the area of control theory, nonlinear and variational analysis, nonsmooth analysis and generalized differentiation, optimization, and applications. Currently, he is working on optimal control of a perturbed sweeping process and finding some applications to the crowd motion model.
My research interests mainly focus on the area of Optimal Control, Nonlinear and Variational Analysis, Nonsmooth Analysis and Generalized Differentiation, Optimization. I hold a profound interest in the cutting-edge realms of Reinforcement Learning, Artificial Intelligence, and Robotics. My endeavors have led to pioneering optimal control strategies for managing differential inclusions, with significant implications for modeling crowd movements, traffic flows, and robotic navigation. My current research is focused on refining the navigational strategies of various agents, such as pedestrians and vehicles, aiming to enhance their destination attainment efficiency while avoiding collisions with other agents or obstacles. This body of work provides deep insights into the dynamics of agent interaction and behavior in complex environments, shedding light on the intricate dance of motion and obstacle avoidance.