Ph.D. student, University of Georgia

I am a member of the Modeling, Simulation & Analytics Lab (MSAL) under the supervision of Dr. John A. Miller (Google Scholar). My research centers on lane-level traffic simulation, digital twins, and trustworthy AI for intelligent urban mobility systems.

I contribute to the open-source project Scalation 2.0, a Scala-based simulation and analytics framework that integrates stochastic processes, optimization, and machine learning for data-calibrated microscopic traffic modeling.

Right now I'm building real-time digital twin frameworks that combine online calibration, parameter-free optimization, and graph-based spatiotemporal forecasting. Explore more about MSAL and our work on my website.

• Lane-level microscopic traffic simulation
• Real-time digital twins and online calibration
• Parameter-free dynamic graph re-weighting
• Graph-based forecasting for lane-level flow prediction
• Optimization in stochastic simulation

⭐ “Model · Simulate · Learn · Optimize · Repeat.”