851 Neyland Drive
Knoxville, TN 37909
United States
University of Tennessee, Knoxville
Generative AI, Urban Digital Twins, AI Agents, Large Language Models, Model Context Protocol, Agentic System, Agentic AI
Predictive Maintenance, Remaining Useful Life, Machine Learning, Motor Fault Analysis
Freight Intermodal Transportation, Digital Twins, Generative AI, Model Context Protocol (MCP), Knowledge Engineering, Multi-Agent System
Large language models (LLMs), Retrieval Augmented Generation (RAG), Predictive Maintenance (PdM), Asset Management, digital twins
Electric Vehicle Charging Demand, Spatio-Temporal Graph Neural Networks, Traffic and Weather Data, Deep Learning Forecasting, EV Infrastructure, Energy Consumption Prediction
Digital twin platform, Game Engine, Machine learning algorithms, Predictive maintenance
Public transit, Shared autonomous vehicles, Agent-based modeling, Ridership-coverage dilemma
biomedical informaticsclinical question answeringdirect preference optimizationgroundednessknowledge distillationsynthetic supervision
Incident clearance time, uncertainty quantification, bi-level forecasting, calibrated routing, spatial risk, Tennessee highways