I'm thrilled to share that our paper, 'Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting,' has been accepted for publication in Transportation Science! Read More ›
I will be presenting "Weaver: A Spatio-Temporal Deep Learning Model Architecture Based on the Mixed Kronecker Matrix-Vector Identity" at Transportation Research Board Annual Meeting (TRBAM 2025) Read More ›
I will be presenting two papers at TRC-30: (1) Evaluating UAM Route Feasibility in Terminal Airspace via Probabilistic Aircraft Trajectory Prediction, and (2) Multi-level Traffic Simulation with Dynamic Simulation Level Assignment for Urban Network Read More ›
Lindong Liu and Pouya Parsa joined the group. Read More ›
It was such a pleasure to present my works on "Deep Generative Models for Transportation and Mobility Data" at The 2nd Cho Chun Shik Graduate School of Mobility Summer Camp. Read More ›