Mr. Christopher Daniel Winfrey earned his M.S. in Professional Science with a concentration in Engineering Management from the Department of Engineering Technology at Middle Tennessee State University (MTSU). He also holds a B.S. from MTSU's Department of Engineering Technology with a concentration in Computer Engineering Technology. Mr. Winfrey is actively pursuing a Ph.D. in Computational Science at MTSU. His research area includes vehicle traffic simulation and traffic signal optimization.  

Beyond his research work, Mr. Winfrey is actively engaged in engineering education, including finding innovative ways to better teach freshman engineering students. He also actively works to coordinate with industry partners to adjust and re-design courses to ensure they properly prepare students for the transition from a collegiate career into the workforce.

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Winfrey, C. and Miao, L. (2025). Using a Weight-Based Reinforcement Learning Algorithm to Optimize Traffic Signals.
Finalizing paper for submission.

Miao, L., Zhang, H., and Winfrey, C. Outcomes and lessons learned from a First-time National Summer Transportation
Institute Pre-College Program (Evaluation). Accepted by 2025 ASEE Annual Conference & Exposition.

Winfrey, C. and Miao, L. (2024). Using Reinforcement Learning to Optimize Isolated Traffic Signals with High Priority
Vehicles. 7th International Conference on Artificial Intelligence and Big Data (ICAIBD), Chengdu, China, 2024, pp.
265-270, doi: 10.1109/ICAIBD62003.2024.10604640.

Winfrey, C. D., and Miao, L. (2023). WIP: Utilizing MATLAB in Combination with Lego Mindstorm EV3 Kits for a First-year
Engineering Course. 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--44107

Winfrey, C., Meleby, P., & Miao, L. (2023). Using big data and machine learning to rank traffic signals in Tennessee.
Journal of Traffic and Transportation Engineering (English Edition), 10(5), 918–933, doi:
10.1016/j.jtte.2023.04.005

Meleby, P., Winfrey, C., & Miao, L. (2022). Development of a Traffic Signal Performance Ranking Online Database for the
State of Tennessee. International Conference on Transportation and Development 2022

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