UCLA Mobility Lab | Foundation Models, Mobility AI Agents, and Digital Twin Systems
Haoxuan (Nick) Ma is a PhD student in Intelligent Transportation Systems at the University of California, Los Angeles. His research develops foundation-model and generative-AI methods for mobility data fusion, household-coordinated activity generation, and city-scale traffic simulation. Across transportation planning, safety, and policy applications, he builds scalable pipelines that connect AI methods with interpretable, real-world deployment.
Current work centers on mobility foundation models, retrieval-augmented generation for behavior synthesis, and agentic digital twins for transportation policy and operations.
Learning Universal Human Mobility Patterns with a Foundation Model for Cross-Domain Data Fusion
Transportation Research Part C (2025)Mobility AI Agents and Networks: A Digital Twin Perspective
IEEE Transactions on Intelligent Vehicles (2024)Beyond 9-to-5: A Generative Model for Augmenting Mobility Data of Underrepresented Shift Workers
IEEE ITSC (2025)Next-Generation Travel Demand Modeling with a Generative Framework for Household Activity Coordination
IEEE ITSC (2025)