Research
Multi-agent systems bring their own set of challenges, falling across a wide range of behaviors. I use techniques from game theory, optimization, learning, and control to answer questions across different scales of the autonomy stack, from strategic planning of traffic flows to tactical deconfliction of drones.
Congestion Management for Advanced Air Mobility
Centralized air traffic control does not scale to the volume and on-demand character of drone and eVTOL operations, but today's largely uncoordinated approach is unsafe at any meaningful density. I work on designing protocols and algorithms to optimize strategic traffic flow deconfliction between flights for efficiency and fairness. A recent focus: how do current regulatory frameworks like ASTM F3548-21 break as drone traffic scales?
Publications on this topic
- JATS 2025 pdf
Privacy-Preserving Mechanisms for Coordinating Airspace Usage in Advanced Air Mobility
ACM Journal on Autonomous Transportation Systems, vol. 2, no. 4, pp. 1-34
- Frontiers 2023
Traffic Management Protocols for Advanced Air Mobility
Frontiers in Aerospace Engineering, vol. 2, pp. 1176969
- ICRAT 2022
Cost-Aware Congestion Management Protocols for Advanced Air Mobility
10th International Conference on Research in Air Transportation, Tampa FL
Game-Theoretic Multi-Agent Decision Making
When many strategic agents plan simultaneously, the equilibrium matters more than any single agent's optimum — and the equilibrium can be fragile to modeling error. I work on trajectory optimization and conflict resolution that stay robust when other agents deviate from the model you assumed for them.
Publications on this topic
- CDC 2026 (to appear)
Strategically Robust Game-Theoretic Multi-Agent Trajectory Optimization
65th IEEE Conference on Decision and Control, Honolulu HI
- AAS/AIAA 2023 pdf
Satellite Collision Avoidance Using Repeated Games
AAS/AIAA Astrodynamics Specialist Conference, Big Sky MT
Market Structures and Competition Among Service Providers
Future airspace will be shared by competing service providers, and the market structure they operate under shapes the resulting traffic as much as any control algorithm does. I study how competition, entry, and pricing between providers affect system-level efficiency, and what market designs align private incentives with public outcomes.
Publications on this topic
- JAT 2024 pdf
Market Structures for Service Providers in Advanced Air Mobility
Journal of Air Transportation, vol. 32, no. 4, pp. 169-183
- ICRAT 2024 pdf
Modeling Competition Between Service Providers in Advanced Air Mobility
11th International Conference on Research in Air Transportation, Singapore
Best Paper in Economics, Environment and Information Track
- ATM 2023 pdf
Market Structures for Service Providers in Advanced Air Mobility
15th USA/Europe Air Traffic Management Research and Development Seminar, Savannah GA
There are no technical problems, only political problems. Technology expands our Pareto frontier; politics determines where we end up within that frontier.