Assistant Professor at Université Gustave Eiffel & ENTPE within the EMob-Lab (Energy & Mobility Laboratory), where I am the Principal Investigator and Coordinator of the GREENSHIFT project—an ANR JCJC personal research grant awarded by the French National Research Agency to pioneer sustainable multimodal mobility hub networks. My research focuses on learning-based optimization in transport and energy, specifically enabling seamless zero-emission multimodal mobility. I specialize in Graph Neural Networks, Deep Learning, and Operations Research to solve complex problems in transport network design, traffic simulation, and geospatial data analysis. I serve as Associate Editor of Transportation Engineering (Elsevier), a journal dedicated to advancing open and reproducible research in transportation science, and on the Steering Committee of the RERITE Working Group, advancing reproducible research practices in transportation engineering.
PhD, Transportation Science & Technology
Delft University of Technology
MSc, Industrial and Systems Engineering
Istanbul Sehir University
BSc, Industrial Engineering
Istanbul Sehir University
Teleoperated driving (TOD) enables humans to operate vehicles remotely during challenging scenarios, offering a promising transition path toward full automation in freight …
This paper presents a novel hybrid framework combining deep learning with metaheuristic optimization to solve bi-level network design problems. Traditional optimization approaches …
This PhD dissertation addresses the design and optimization of road networks to accommodate automated vehicles (AVs). The research develops methodologies for network-level …
This research explores different infrastructure strategies for integrating automated vehicles into existing road networks, comparing three approaches: dedicated links (entire roads …
This paper presents a bi-level optimization model and evolutionary local search algorithm for optimizing road networks during the transition period when both manual and automated …
Framework for assessing road authority readiness for CAV support
Using LLMs to explore artifact availability in transportation research
Conference presentation on explainable GNNs for network design
Presentation on hybrid DL-metaheuristic approach to network design
Framework for road authorities to assess CAV readiness for C-ITS services
