I develop safe AI-based control theory and algorithms for aircraft autonomy and multi-agent systems.
My work spans robust multi-agent reinforcement learning, safety filtering in learned control policies, and language models in the control loop. Ongoing: world (action) models for multi-agent planning.
My research asks how learned decision-makers, such as reinforcement learning policies and language models, can be trusted in safety-critical multi-agent systems. I work on separation assurance for drones and advanced air mobility, with theory (adversarial robustness bounds), algorithms (multi-agent RL and runtime safety filters), and closed-loop evaluation in air traffic simulation.
Before GWU, I earned a master’s in Control Science and Engineering at Tsinghua University, where I worked on reinforcement learning for fault-tolerant flight control, and a B.S. in Aircraft Design and Engineering at Beihang University (BUAA), after earlier studies at National Cheng Kung University. Full details are in my CV.
Language models as decision-makers and advisors for air traffic and maritime collision avoidance, with fine-tuning, fallback control, and closed-loop evaluation.
Presented a poster “Fine-Tuning Large Language Models for Cooperative Tactical Deconfliction of Small Unmanned Aerial Systems” at the CVPR 2026 Workshop on Multi-Agent Embodied Intelligent Systems Meet the Generative-AI Era (MEIS), Denver, Colorado.
Earlier news
May 2026
Presented a poster on “Robust MARL for Small UAS Separation Assurance under GPS Degradation and Spoofing” at the ACC 2026 Workshop on Autonomy in Transportation, New Orleans, Louisiana.
May 2026
Started a summer appointment as Visiting Researcher at UC Berkeley (CITRIS and the Banatao Institute) with Prof. Alexandre Bayen, working on multi-modal aircraft trajectory prediction from ADS-B data and ATC voice communications.
Started a blog post series on Air Traffic Control.
Jan 2025
Began serving as a Teaching Assistant for MAE 3134 — Linear Systems Dynamics at George Washington University.
Sep 2024
Hosted and organized the Safe and Responsible AI workshop, featuring the FAA, HASS COE, Johns Hopkins APL, and MIT Lincoln Labs, as well as TRAILS, NIST AI, and RAI UK.
Aug 2024
Started my PhD and research assistantship in Mechanical and Aerospace Engineering at George Washington University.
Aug 2024
Presented my research on Fault-Tolerant Flight Control at the International Conference on Guidance, Navigation and Control (ICGNC 2024).
May 2024
Graduated with a Master’s in Control Science and Engineering from Tsinghua University.
service
Reviewer.Journals: Journal of Guidance, Control, and Dynamics; IEEE Transactions on Aerospace and Electronic Systems; IEEE Transactions on Intelligent Transportation Systems; Transportation Research Part C; Journal of Aerospace Information Systems; Engineering Applications of Artificial Intelligence. Conferences: IEEE CDC, IEEE ITSC, AAAI, ICRA, ICGNC.
Organizing. Hosted the 2024 Safe and Responsible AI workshop at GWU, with speakers from the FAA, Johns Hopkins APL, MIT Lincoln Laboratory, and NIST.
affiliations & research support
Doctoral research
George Washington University
Mechanical & Aerospace Engineering · IASL
Visiting research · Summer 2026
UC Berkeley
CITRIS and the Banatao Institute
Research support
NASA
University Leadership Initiative
For research collaborations or internship opportunities, reach out by email.