PhD Candidate
University of Tennessee at Chattanooga
Ringgold, Georgia, United States
Dedicated and motivated Ph.D. candidate specializing in Artificial Intelligence, with expertise in Machine Learning, Reinforcement Learning, and Graph Neural Networks. Currently pursuing a Ph.D. at the University of Tennessee at Chattanooga, with research focused on optimizing traffic signal timing to reduce vehicle stops, delays, and pedestrian wait times. My work involves the development and testing of machine learning algorithms in the MLK Smart Corridor in Chattanooga, Tennessee. Additionally, I have experience developing predictive models, including a machine learning algorithm to forecast COVID-19 trends.
Prior to my Ph.D., I accumulated 18.5 years of industry experience in software and web-based applications development, successfully delivering 22 projects across various domains for diverse clients. This blend of practical IT experience and cutting-edge AI research drives my innovative approach to complex challenges.
Skills:
Technical: Artificial Intelligence, Machine Learning, Reinforcement Learning, Graph Neural Networks, Multi-head Graph Attention Networks, Intelligent Transportation Systems, Traffic Signal Timing Optimization, Data Visualization, Spatial and Temporal Analysis, Python
Professional: Problem-solving, Analytical Skills, Communication, Teamwork
Disclosure information not submitted.
Crash Patterns in Level 2 & 4 Autonomous Vehicles: Exploratory & Clustering Analysis
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT