Dr. Ramezani employs optimization and machine learning methods to analyze transportation systems. Currently he studies impacts of automated truck platooning on traffic congestion and fuel consumption in Dr. Shladover’s research group.
One of his contributions in his Ph.D. dissertation is developing a CPU-efficient method to solve the “sign location problem for optimized speed harmonization” which is a large scale mixed integer nonlinear program. Also, he was the main developer of the WorkZoneQ-Pro (WZQ-Pro) which is a computer program to analyze traffic operation in work zones. WZQ-Pro has been taught for 10+ DOTs under National Work Zone Safety Grant project during the past three years, and the project has been renewed for the next three years. More detailed descriptions of his research activities are available in his LinkedIn page.
Dr. Ramezani received his B.S. (2005) in Civil and Environmental Engineering and his M.S. (2007) in Transportation Planning from Sharif University of Technology at Tehran, Iran. He received another M.S. (2015) in Operation Research and a PhD (2016) in Transportation Engineering, both from University of Illinois at Urbana-Champaign.