Assistant Professor 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. 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.

Education

PhD in Aeronautics and Astronautics, University of Washington, WA, USA 2015–2021 

BE in Aeronautics and Astronautics, Beihang University, Beijing, China 2010–2014 

 

Professional Background

Postdoctoral Research Fellow, The University of Texas at Austin, TX, The Oden Institute for Computational Engineering and Sciences, 2021– 2024

Honors and Awards

2023 AIAA Guidance, Navigation, and Control Best Paper, 2023

DSCD Rising Stars invited speaker, Modeling, Estimation and Control Conference, 2023

Selected Publications

Y. Yu, M. Wang, M. Mesbahi, and U. Topcu (2023). "Vertiport Selection in Hybrid Air-Ground Transportation Networks via Mathematical Programs with Equilibrium Constraints," IEEE Transactions on Control of Network Systems. 

Y. Yu, K. Nagpal, S. Mceowen, B. Ac¸ıkmes¸e, and U. Topcu (2023. "Real-Time Quadrotor Trajectory Optimization with Time-Triggered Corridor Constraints." Journal of Guidance, Control, and Dynamics, 46(6), 1197-1205.

 S. H. Q. Li, Y. Yu, N. Miguel, D. Calderone, L. Ratliff, and B. Ac¸ıkmes¸e. (2023). "Adaptive Constraint Satisfaction for Markov Decision Process Congestion Games: Application to Transportation Networks." Automatica, 151, 110879.

 Y. Yu, J. Salfity, D. Fridovich-Keil, and U. Topcu (2022). "Inverse Matrix Games with Unique Quantal Response Equilibrium," IEEE Control Systems Letters, 7, 643–648, 2022. (Presented at 2023 American Control Conference.) 

Y. Yu, P. Elango, B. Ac¸ıkmes¸e, and U. Topcu (2022). "Extrapolated Proportional-Integral Projected Gradient Method for Conic Optimization," IEEE Control Systems Letters, 7, 73–78. (Presented at 2022 IEEE Conference on Decision and Control.)