Invited Speakers

François Glineur - UCLouvain

Short Bio
François Glineur earned dual engineering degrees from CentraleSupélec and Université de Mons in 1997, and a PhD in Applied Sciences from the latter institution in 2001. After visiting Delft University of Technology and working as a post-doctoral researcher at McMaster University, he joined Université catholique de Louvain, where he is currently a full professor of applied mathematics in the Engineering School. He is also a member of the Center for Operations Research and Econometrics and the Institute of Information and Communication Technologies, Electronics and Applied Mathematics. He served as the Engineering School's vice-dean between 2016 and 2020. His primary areas of interest in research are optimization models and methods, with a particular emphasis on convex optimization and algorithmic efficiency. He received the 2017 Optimization Letters best paper award for the worst-case analysis of gradient descent with line search. He is also interested in the use of optimization in engineering, as well as nonnegative matrix factorization and its application to data analysis.

Talks
An introduction to performance estimation of first-order methods Abstract - Slides
Performance estimation of first-order methods: extensions and recent results Abstract - Slides

Flip Klijn - Barcelona School of Economics

Short Bio
Flip Klijn is Scientific Researcher at the Institute for Economic Analysis (CSIC) and Research Professor at the Barcelona School of Economics. His research interests are in Matching Theory, Market Design, Game Theory, Operations Research, and Social Choice Theory. He is currently involved in experimental and theoretical research related to the working of centralized assignment mechanisms in public schools and general exchange markets without monetary compensations. He is also a member of a research team that together with the Spanish National Transplant Organization aims to redesign the algorithm of the Spanish National Kidney Exchange Program.
He has published in leading journals such as American Economic Review, Journal of Economic Theory, and Games and Economic Behavior. Professor Klijn has been a research fellow at Harvard Business School and he has held visiting research chairs at Aix-Marseille School of Economics and Innsbruck University. He also co-wrote a report for the Dutch Ministry of Education, Culture and Science on a new centralized university admission system in the Netherlands.

Talks
Core Stability and Strategy-Proofness in Hedonic Coalition Formation Problems with Friend-Oriented Preferences
Shapley-Scarf Housing Markets: Respecting Improvement, Integer Programming, and Kidney Exchange

Dolores Romero Morales - Copenhagen Business School

Short Bio
Dolores Romero Morales is a Professor in Operations Research at Copenhagen Business School. Her areas of expertise include Data Science, Supply Chain Optimization and Revenue Management. In Data Science she investigates interpretability and visualization matters. In Supply Chain Optimization she works on environmental issues and robustness. In Revenue Management she works on large-scale network models. She is Editor-in-Chief to TOP, the Operations Research journal of the Spanish Society of Statistics and Operations Research, and an Associate Editor of Journal of the Operational Research Society, Omega and the INFORMS Journal on Data Science.
She has worked with and advised various companies on these topics, including IBM, SAS, KLM and Radisson Edwardian Hotels, as a result of which these companies managed to improve some of their practices. SAS named her an Honorary SAS Fellow and member of the SAS Academic Advisory Board. She currently leads the EU H2020-MSCA-RISE NeEDS project, which has a total of 15 participants and a budget of more than €1.000.000 for intersectoral and international mobility, with the aim to improve the state of the art in Data Driven Decision Making.
Dolores joined Copenhagen Business School in 2014. Prior to coming to Copenhagen Business School, she was a Full Professor at University of Oxford (2003-2014) and an Assistant Professor at Maastricht University (2000-2003). She has a BSc and an MSc in Mathematics from Universidad de Sevilla and a PhD in Operations Research from Erasmus University Rotterdam.
Talks
Opening black box models for fairer decision making
Counterfactual Analysis in Benchmarking

Rayadurgam Srikant - U. Illinois Urbana-Champaign

Short Bio
R. Srikant is the co-Director of the C3.ai Digital Transformation Institute, a Grainger Chair in Engineering, and Professor in the Department of Electrical and Computer Engineering and the Coordinated Science Lab, all at the University of Illinois at Urbana-Champaign. His research interests include applied probability, machine learning and communication networks. He is the recipient of the 2015 INFOCOM Achievement Award, the 2019 IEEE Koji Kobayashi Computers and Communications Award and the 2021 ACM SIGMETRICS Achievement Award. He has also received several Best Paper awards including the 2015 INFOCOM Best Paper Award, the 2017 Applied Probability Society Best Publication Award, and the 2017 WiOpt Best Paper award. He was the Editor-in-Chief of the IEEE/ACM Transactions on Networking from 2013-2017.

Talks
Introduction to Average-Cost MDPs
Approximate Policy Iteration in Average-Cost MDPs