Yue Yu's research focuses on developing efficient and scalable algorithms for controlling autonomous systems in aerospace engineering. His work centers on numerical optimization and control theory, extending to various domains such as game theory, machine learning, and network systems. His recent research projects include real-time trajectory optimization and game-theoretic coordination in multiagent systems, with an emphasis on applications in advanced air mobility and spacecraft control.
Yu holds a PhD in aeronautics and astronautics from the University of Washington and a BE in aeronautics and astronautics from Beihang University. He was also a postdoctoral research fellow, at the Oden Institute for Computational Engineering and Sciences at the University of Texas.