I'm honored to be a member of GERAD, a vast and varied research hub. Here, I have the chance to gain knowledge from and work alongside esteemed experts in optimization and data science. My research journey is categorized into three distinct phases, each emphasizing the application of Operations Research (OR) in various domains. The initial phase, during my Ph.D. at Ozyegin University, was dedicated to the application of OR in industry and supply chain management. The second phase delved into the application of OR in healthcare and humanitarian operations. The final phase, initiated during my postdoctoral studies at IMT Atlantique, concentrated on integrating OR with machine learning (ML) for addressing real-life problems.

Throughout my research journey, I have tackled real-world problems with innovative solutions. In the realm of supply chain and industry, I developed heuristics for scheduling problems, proposed algorithms for supplier selection and order allocation, and introduced a matheuristic method for synchronized replenishment of multiple products. In the humanitarian and healthcare sector, I developed robust optimization models for post-disaster relief supply distribution, proposed a flexible blood donation scheme considering demand uncertainty, and addressed the challenge of platelet collection from blood donations. In the manufacturing domain, I explored the balancing problem of mixed-model assembly lines using Markovian decision processes and mixed-integer linear programming.

Inspired by past experiences, here in GERAD, I aim to explore the intersection of machine learning, optimization under uncertainty, and large-scale optimization. A significant focus will be on developing optimization techniques for routing problems, considering various uncertainties. Additionally, I am keen on integrating machine learning techniques into transportation science to develop advanced solutions. By leveraging the power of data-driven algorithms, I aim to optimize processes and achieve a harmonious balance between economic, environmental, and social considerations.

Throughout my academic journey, I have always emphasized the significance of aligning theoretical research with real-world applications. This conviction led me to establish robust collaborations with the industry, a notable one being with VESTEL Electronics. My engagement with VESTEL provided invaluable insights into real-world challenges, particularly in the realm of TV production scheduling. Such industry partnerships enriched my research, offering practical perspectives and immediate applicability. Additionally, my involvement in European Horizon projects further solidified my industry-academia nexus, allowing me to work on cutting-edge challenges with a consortium of academic and industry partners. These experiences ensured that my research remained not only theoretically sound but also pragmatically impactful, bridging the gap between academia and industry.