Mohamed Eldafrawi

Background

About Mohamed Eldafrawi

My expertise lies at the crossroads of transportation engineering, optimization, and artificial intelligence. Over the years, I have gained in-depth experience in developing and implementing advanced deep learning models, specifically Graph Neural Networks, aiming to streamline traffic assignment and bolster the efficiency of modern urban transportation systems. My professional journey encompasses pivotal roles in software development and transportation modeling. I've taken the lead on initiatives that involved enhancing software capabilities, incorporating novel algorithms, and optimizing existing modules to maximize performance and reliability. In parallel, my grounding in transportation modeling is fortified by hands-on experience with dynamic OD matrix estimation, traffic data analysis, and model calibration across diverse global urban landscapes.