Research Projects

My research vision is to explore Spatial Intelligence in the real, open world by decoding patterns of mobility within urban systems. This pursuit is grounded in the intersection of spatiotemporal data mining, human behavior modeling, and urban science, with a primary focus on leveraging multi-modal large language models to achieve higher-level spatial cognition and reasoning.

Spatial Systems

Scalable computational platforms for managing and analyzing massive spatial datasets in smart city applications.

Spatial Agents

Intelligent agent-based modeling systems for simulating complex spatial behaviors and supporting urban planning decisions.

Mobility Models

Deep learning frameworks for understanding and predicting human movement patterns in urban environments using large-scale mobility data.

Time Series Modeling

Advanced temporal analytics for forecasting urban dynamics and understanding spatio-temporal patterns in complex systems.