Dong Ho Lee
Hi! I am a Ph.D. student in Aerospace Engineering at the University of Texas at Austin. I work in the CLeAR Lab, advised by Prof. David Fridovich-Keil.
My research interests are optimization, game theory, control, and learning for multi-agent systems. I study how agents make decisions when some objectives take priority over others. My current work develops compact reformulations and a Newton solver for real-time receding-horizon control. I implement these methods in Julia and Python.
Before joining UT Austin, I received my B.S. and M.S. in Aerospace Engineering at KAIST and worked on UAV mission planning at the Agency for Defense Development.
I am looking for research internship opportunities in 2027.
Ph.D. expected May 2028
Research in focus
Current work
Planning with ordered objectives
Receding-horizon control for highway overtaking and cooperative pot transfer.
Read more →Prior work
Games of Ordered Preference
A framework for strategic agents with strictly ordered objectives, and compact reformulations for computation.
Read more →Prior work
Hierarchical routing
A convex reformulation and branch-and-bound solver for route assignment with strategic vehicle interactions.
Read more →Selected publications
Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation
Under review at SIAM Journal on Optimization · 2026
Paper: Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation · Code: Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation
Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations
Workshop on the Algorithmic Foundations of Robotics (WAFR) · 2026
Paper: Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations · Code: Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations
You Can't Always Get What You Want: Games of Ordered Preference
IEEE Robotics and Automation Letters · 2025
Paper: You Can't Always Get What You Want: Games of Ordered Preference · Code: You Can't Always Get What You Want: Games of Ordered Preference
Updated November 6, 2026