Ayse Nur Arslan

Current position

Junior Researcher (CR) at Centre Inria de l'Universite de Bordeaux

Research interests

• Mathematical programming with emphasis on mixed integer programming under uncertainty (both stochastic and robust optimization).
• Development of theory and methodology for solving these problems with a special focus on decomposition methods and polyhedral approaches.
• Application of solution methodologies to industrial problems, in areas including but not limited to production planning, supply chain management, healthcare, transportation science and energy management.

News

• I was excited to present some of my recent work during the Robust Optimization Webinar series. Full video of this talk can be found here . Many thanks to Jannis Kurtz and Ahmadreza Marandi for the organization and the invitation.
• I was happy to present a tutorial on "Decision rules for robust adjustable optimization" during the Optimization at the Second Level workshop at CIRM, Marseille. Many thanks to the organizing comitee for the invitation.
  You can download my slides here.
• A revised version of our paper "Uncertainty reduction in robust optimization" is now available . This is joint work with Michael Poss.
• Our paper "KidneyExchange.jl: A Julia package for solving the kidney exchange problem with branch-and-price", accepted for publication in Mathematical Programming Computation, is now available online. This is joint work with Jérémy Omer and Fulin Yan. Full text is available here.
• I am excited to annouce my participation as a lecturer to the Robust Optimization School 2024 (June 3-5) that will take place in Montpellier, France. See here for more information. Many thanks to Michael Poss for the organization.
• I am happy to annouce that Patxi Flambard has joined the team EDGE for his PhD thesis. Patxi will work on the ANR-JCJC project DROI. His thesis is on primal and dual bounds in two-stage robust optimization and co-advised by Boris Detienne and myself.
• Our paper "Two-stage and Lagrangian dual decision rules for multistage adaptive robust optimization" has been submitted. This is joint work with Maryam Daryalal and Merve Bodur.
• Congratulations to Théo Guyard for having received the Best Student Paper Award at ROADEF 2023.
• I am happy to have participated as a lecturer to the Winter School on Robust Optimization and its Applications that was held in Avignon, France. Many thanks to Michael Poss and Rosa Figueiredo for the organization.
• I am grateful to have received a young researcher grant from ANR (Agence National de Recherche) for my project DROI. This project proposes to study primal and dual approximation approaches for two- and multi-stage robust optimization problems and will fund a PhD thesis as well as a 1-year postdoctoral research position.
• Congratulations to Théo Guyard for having received the Best Poster Presentation Award at Journées SMAI-MODE 2022.
• I am honored to have received the Prix Robert-Faure (3rd place). This is an award designated by the French operations research society (ROADEF) to young researchers (under 35) for outstanding contributions in the field of operations research. I share this honor with Axel Parmentier (1st place) and Amelie Lambert (2nd place).