Yash Ranjan
I am a third year PhD student in the Department of Computer Science at the University of Florida, supervised by Prof. Sanjay Ranka and Prof. Anand Rangarajan. My research interest lies in applying machine learning techniques to build trustworthy and explainable world simulators. I apply these techniques in the fields of scientific simulation and transportation. I finished my undergraduate from BITS Pilani, majoring in Computer Science, where I was supervised by Prof. Subhrakanta Panda.
Publications
- PhaseShift: Topology-Aware Data Harmonization and Model Consolidation Across Signalized Intersections arXiv preprint, 2026 [Link] [Code]
- A Generative Model for Closed-Loop Microsimulation of Signalized Intersections arXiv preprint, 2026 [Link]
- Enactor: From Traffic Simulators to Surrogate World Models 12th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), 2026 [Link] [Code]
- BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation International Conference on Modeling, Simulation and Intelligent Systems, 2025 [Link]
- IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle Driving at Signalized Intersections IEEE International Conference on Intelligent Transportation Systems (ITSC), 2025 [Link]
- Video-Based Machine Learning Approaches for Quantifying Pedestrian Safety in Traffic Intersections International Conference on SmartRail, Traffic and Transportation Engineering, 2025 [Link]
- Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025 [Link]
- A Data-Driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections IEEE Intelligent Vehicles Symposium (IV), 2024 [Link]
For the full list, see my Google Scholar profile.
