Assistant Professor at Université Gustave Eiffel & ENTPE within the Transport and Traffic Engineering Laboratory (LICIT-ECO7). 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.
PhD, Design and optimization of road networks for automated vehicles
Delft University of Technology
MSc, Industrial and Systems Engineering
Istanbul Sehir University
BSc, Industrial Engineering
Istanbul Sehir University
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 paper develops a multi-stage optimization framework for designing road networks that accommodate automated vehicles while considering elastic multi-class demand. Unlike …
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 …
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
Simheuristic approach to bridge maintenance optimization
