Lokesh Das
About
Dr. Lokesh Das’s current research focuses on developing novel algorithms for the next-generation traffic control system for autonomous vehicles utilizing modern deep learning and vehicle-to-everything (V2X) communication technologies to reduce traffic congestion and enhance traffic efficiency and safety. Dr. Das’s research extensively uses modern reinforcement learning algorithms to provide novel solutions to complex problems in real-world traffic environments.
Research Performance Summary
First Recorded Paper
A Generalized Internet of Things (IoT) Framework for Serving Multiple Applications
Year: 2015
Citations: 0
Venue: The 4th International Conference on Internet Applications, Protocols and
Latest Recorded Paper
Z-Merge: Multi-Agent Reinforcement Learning for On-Ramp Merging with Zone-Specific V2X Traffic Information
Year: 2025
Citations: 0
Venue: arXiv preprint arXiv:2511.14910
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.