Undergraduate Researcher
Artificial Intelligence Research (AIR) Lab, MSU
Feb 2026 - Present
EV Grid Simulation Platform
- Research accepted for demonstration at IJCAI-ECAI 2026 (Demo Track); paper: LLM-to-Map: Transparent Conversational Tool Orchestration for Real-Time Multi-Domain Simulation.
- Re-architected real-time state synchronization from HTTP polling to event-driven WebSockets, eliminating 5-7 requests/sec/client and 2-5s polling delays while pushing network, V2G, scenario, and AI-map updates in real time.
- Built an agentic simulation interface with 26 OpenAI function-calling tools spanning substation control, V2G dispatch, EV configuration, scenario orchestration, and map control, with live frontend synchronization over Socket.IO.
- Scaled the simulation platform from ~100 to 700+ concurrent vehicles through WebSocket migration, headless SUMO execution, backend broadcast throttling, and frontend rendering optimizations with 60 FPS vehicle interpolation.