
About
Mehmet Yildirimoglu is a Senior Lecturer in Transport Engineering at the School of Civil Engineering, University of Queensland, where he has worked since 2016. He completed his PhD at École Polytechnique Fédérale de Lausanne (EPFL) in 2015, following earlier degrees at Middle East Technical University (BSc) and Rutgers University (MSc).
His research focuses on large-scale traffic modeling, dynamic traffic assignment, data mining techniques, and real-time traffic management. He employs advanced computational methods to address urban mobility challenges, including congestion mitigation, route guidance systems, and traffic flow optimization.
Recent publications analyze congestion pricing, cooperative platooning, and spatio-temporal deep learning for traffic patterns. His work integrates Kalman filtering, MFD (Macroscopic Fundamental Diagram) approaches, and reinforcement learning to improve urban transportation systems.
Dr. Yildirimoglu has secured multiple competitive grants including the ARC Discovery Early Career Researcher Award for next-generation city-scale traffic modeling and collaborative projects with iMove CRC and ARC Linkage Programs. He supervises PhD candidates in traffic modeling frameworks, autonomous vehicle safety, and real-time analytics.
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