معرفی
Dr. Casey Bowman is an Associate Professor in the Mathematics department at the University of North Georgia (UNG). He specializes in traffic simulation, machine learning, and big data analytics. His research focuses on integrating microscopic discrete-event simulation with real-world data to model transportation systems and optimize traffic flow. Bowman's work often bridges theoretical models with practical applications, such as calibrating vehicular traffic simulations and developing hybrid approaches combining simulation with machine learning for traffic forecasting.
He holds a PhD in a related field (details unspecified) and has published extensively on topics like sensor data-driven traffic optimization and open-source big data frameworks. His research has been published in journals and conferences, including works on traffic light synchronization and service network analysis. Bowman is reachable at casey.bowman@ung.edu and can be found at the Faculty Center, 736, Oconee campus.
