Visiting Researcher at ENAC - Ecole Nationale de l'Aviation Civile
Seattle, Washington, United States
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Summary
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Yuanqi Mao is a research-focused engineer with 11 years of experience applying real-time optimization and control theory to autonomous systems across aerospace, marine, and robotics domains. Currently a Visiting Researcher at ENAC, he designs successive convexification-based trajectory optimization algorithms that integrate temporal logic constraints for spacecraft rendezvous and UAV motion planning. His PhD-level work with Prof. Behcet Acikmese at UT Austin and the University of Washington delivered practical Successive Convexification methods and software, bridging rigorous theory with deployable embedded and ROS-based implementations. Yuanqi’s background in naval architecture and early industry work on dynamic positioning and thrust allocation gives him a rare cross-domain perspective on vehicle dynamics and mission-level planning. He combines academic depth with hands-on software development, often translating cutting-edge safety and constraint specifications into real-time guidance solutions.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Aeronautics/Aviation/Aerospace Science and Technology, General, Doctor of Philosophy (Ph.D.), Aeronautics/Aviation/Aerospace Science and Technology, General at University of Washington
Doctor of Philosophy (Ph.D.), Aerospace, Aeronautical and Astronautical Engineering, Doctor of Philosophy (Ph.D.), Aerospace, Aeronautical and Astronautical Engineering at The University of Texas at Austin
Bachelor of Science (BS), Naval Architecture and Marine Engineering, Bachelor of Science (BS), Naval Architecture and Marine Engineering at Shanghai Jiao Tong University
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Yuanqi Mao - Visiting Researcher at ENAC - Ecole Nationale de l'Aviation Civile