Demand Modeling for Advanced Air Mobility: Challenges, Opportunities, and Future Directions
IEEE T-ITS 2026 A survey of AAM demand modeling methods and research priorities, including infrastructure and equity.
Interpretable AI for Future Mobility
Advanced Air Mobility · Neurosymbolic AI · Demand Modeling · Operations Research
I am a Postdoctoral Research Associate in Mechanical Engineering at Baylor University. My research connects Advanced Air Mobility demand forecasts with aircraft assignment and scheduling, distributed optimization, and simulation to evaluate safe, energy-efficient operations.
Selected Publications
Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey
IJCAI 2025 Examines how neurosymbolic AI could support reliable, transparent, and regulation-aware AAM systems.
Neurosymbolic Reinforcement Learning and Planning: A Survey
IEEE TAI 2024 Reviews methods combining neural learning, symbolic reasoning, and reinforcement learning for interpretable planning.