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Dr. Achterberg studied mathematics and computer science at the Technical University of Berlin and the Zuse Institute Berlin. He finished his PhD in mathematics under supervision of Prof. Martin Grötschel in 2007. Dr. Achterberg is the author of SCIP, currently the best academic MIP solver. In addition to numerous publications in scientific journals he has also received several awards for his dissertation and for SCIP, such as the Beale-Orchard-Hays Prize.
Francesca Maggioni is Associate Professor of Operations Research at the Department of Management, Information and Production Engineering (DIGIP) of the University of Bergamo (Italy). Her research interests concern both methodological and applicative aspects of optimization under uncertainty. From a methodological point of view, she has developed different types of bounds and approximations for stochastic, robust and distributionally robust multistage optimization problems. She applies these methods to solve problems in logistics, transportation, energy production, pension funds and machine learning. On these topics she has published more than 60 scientific articles featured in peer-reviewed operations research and optimization journal like, among others, SIAM Journal on Optimization (SIOPT), European Journal of Operational Research (EJOR), Transportation Science, Journal of Optimization, Theory and Applications (JOTA). She is currently serving the “EURO Working Group on Stochastic Optimization” and the “AIRO Thematic Section of Stochastic Programming” as chair and has served the “Stochastic Programming Society” in the period 2016-2023. She is Associate Editor of the journals “Computational Management Science” (CMS), “EURO Journal on Computational Optimization” (EJCO), “An Official Journal of the Spanish Society of Statistics and Operations Research” (TOP), “Networks” and “International Transactions in Operational Research” (ITOR). She is principal investigator of the PRIN 2020 project "Urban Logistics and sustainable TRAnsportation: OPtimization under uncertainTY and MAchine Learning (ULTRAOPTYMAL) funded by the Italian University and Research Ministry.
Haroldo Gambini Santos is a Senior Applied Scientist at Amazon.com. For 10+ years he was a Professor at the Computer Science department of Universidade Federal de Ouro Preto. In 2018-2019 he was a Senior Researcher at the CS department of KU Leuven, Belgium. His research focuses on algorithms and models for combinatorial optimization problems. In 2019 he won the COIN-OR Cup award for his contributions to the CBC mixed-integer linear optimization software. In 2012 his team won the Second International Timetabling Competition. From 2012 to 2020, he was a member of the COIN-OR Foundation Technical Leadership Council. He authored several papers on prestigious operations research journals such as Computers & Operations Research, European Journal of Operational Research, Annals of Operations Research, Journal of Scheduling among others. Haroldo is the co-creator of Python-MIP.
Gilbert Laporte is Professor Emeritus at HEC Montréal. He obtained his Ph.D. in Operational Research at the London School of Economics in 1975. He was Professor of Operational Research at HEC Montréal and Canada Research Chair in Distribution Management until August 2020. He is now Professor at the School of Management of the University of Bath, United Kingdom, and Professor II at Molde University College, Norway. He is also Honorary Visiting Professor at the University of Liverpool, and Distinguished Professor at the Eindhoven University of Technology. He is a member of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) and founding member of the Group for Research in Decision Analysis (GERAD). He has been Editor of Transportation Science, Computers & Operations Research and INFOR. He has authored or coauthored more than 20 books and 600 scientific articles in combinatorial optimization, mostly in the areas of vehicle routing, location, districting and timetabling.
Karen Smilowitz is the James N. and Margie M. Krebs Professor in Industrial Engineering and Management Science at Northwestern University, with a joint appointment in the Operations group at the Kellogg School of Management. Dr. Smilowitz is an expert in modeling and solution approaches for logistics and transportation systems in both commercial and nonprofit applications. She has been instrumental in promoting the use of operations research within the humanitarian and nonprofit sectors through the Woodrow Wilson International Center for Scholars, the American Association for the Advancement of Science, and the National Academy of Engineering, as well as various media outlets. Dr. Smilowitz is the Editor-in-Chief of Transportation Science and a Fellow of the INFORMS society.
Andy Philpott is world expert in optimization under uncertainty and its application in electricity systems. He is the Director of the Electric Power Optimization Centre (EPOC) at the University of Auckland in New Zealand. His work covers a broad range of topics from game-theoretical analyses of electricity market auctions to modelling competition and market power in electricity systems dominated by stored hydroelectricity. Philpott’s EPOC group (www.epoc.org.nz) has been a research leader in this field for 20 years. He has consulted throughout the world on electricity optimization to organizations as diverse as EDF, BC Hydro, Hydro Tasmania, Meridian Energy, Contact Energy, Norske Skog, and the New Zealand Electricity Authority. Philpott’s research has been motivated by practical problems faced by industry that require some theoretical insight to resolve. This has led to a collection of theoretical publications in top operations research journals. At the same time work has had a significant impact. In 2009 Philpott and a team from Norske Skog were finalists in the Franz Edelman competition for their development (from 1997-2008) and deployment of Norske Skog’s PIVOT model. The recommendations emerging from this model saved Norske Skog an estimated (USD)100 M per annum. Philpott has been honoured for his research, being awarded the Hans Daellenbach Award from ORSNZ in 2006, elected to be an INFORMS Fellow in 2017, and a Simons Fellow in 2019. He has given plenary and keynote addresses to major international conferences such as ICSP 2001, ICCOPT 2007, ICSP 2010, SIAM Conference on Optimization 2014, CMS 2018, ISMP 2018, and the IFORS Distinguished Lecture in 2019. He was on the editorial board of Mathematical Programming from 2004-2017, and has been an Associate Editor of Operations Research since 2007. He has served on numerous INFORMS committees (including chairing the Farkas Prize Committee and the INFORMS ENRE Best Paper Prize Committee) and organized several international workshops and thematic programmes. The latest of these was the Mathematics of Energy Systems programme held at the Isaac Newton Institute in 2019.
Frédéric Semet received his PhD from the Ecole Polytechnique Fédérale de Lausanne. He is full professor at Centrale Lille, France. His main research activities are in the field of combinatorial optimization applied to location problems, transportation network design problems, and vehicle routing problems. These related problems are encountered from the strategic decision level to the operational decision level in transportation chain management. Frédéric Semet is and has been involved in various grant-funded and collaborative projects with transportation and logistics companies. Currently, he is the scientific leader of a project dedicated to urban distribution in the context of e-commerce and of a regional project on urban logistics. In addition, he is a member of the steering committees of the Verolog (Vehicle Routing and Logistics) group of the European operational research society EURO, of the Groupe de Recherche en Recherche Opérationnelle (GdR RO of the CNRS. Finally, Frédéric Semet is, since 2015, deputy director of the Lille Research Center in Computer Science, Signal and Automation (CRIStAL) gathering about 200 professors and researchers. Frédéric Semet has authored or co-authored more than 75 scientific papers or book chapters. His h-index is 40 (Google Scholar). He has been an associate editor or member of the editorial board of Advances in Operations Research, Computers & Operations Research, and INFOR. He received the President Medal of the British Operational Research Society in 1999 and was awarded the 1st Prize for scientific contribution to the EURO/ROADEF 2016 challenge.
Rubén Ruiz is Principal Applied Scientist at Amazon Web Services (AWS) and Full Professor of Statistics and Operations Research on leave of absence at the Polytechnic University of Valencia, Spain. He is co-author of more than 100 papers in International Journals and has participated in presentations of more than a two hundred papers in national and international conferences. He is editor of the Elsevier’s JCR-listed journal Operations Research Perspectives (ORP) and co-editor of the JCR-listed journal European Journal of Industrial Engineering (EJIE). He is also associate editor of other journals like TOP and member of the editorial boards of several journals most notably European Journal of Operational Research and Computers and Operations Research. His research interests include scheduling and routing in real life scenarios as well as cloud computing scheduling.
Maryam Darvish is an associate professor in the Department of Operations and Decision Systems at Université Laval in beautiful Quebec City. Her research focuses on applying OR tools and techniques to solve real-world problems, mainly to develop methods to improve the supply chain's economic and environmental efficiency. She is an active member of the Interuniversity Research Center on Enterprise Networks, Logistics and Transportation (CIRRELT). She has published and worked on several projects with CIRRELT members. Her papers are mainly published in EJOR, IJPE, TRE, and IJPR. She is also a co-founder of MobilOpt, a research group founded in collaboration with Leandro Coelho and Jacques Renaud in 2020 at FSA, ULaval, dedicated to mobility optimization. Maryam is the recipient of several research and teaching medals from her faculty and the student association of the faculty. She is from Iran and did her undergraduate and Master's studies there, but she has lived and studied in several countries
Pascal Van Hentenryck is an A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He is also the the director of the NSF Artificial Intelligence Institute for Advances in Optimization. Prior to this appointment, he was a professor of Computer Science at Brown University for about 20 years, he led the optimization research group (about 70 people) at National ICT Australia (NICTA) (until its merger with CSIRO), and was the Seth Bonder Collegiate Professor of Engineering at the University of Michigan. Van Hentenryck is a Fellow of AAAI (the Association for the Advancement of Artificial Intelligence) and INFORMS. He has been awarded two honorary doctoral degrees from the University of Louvain and the university of Nantes, the IFORS Distinguished Lecturer Award, the Philip J. Bray Award for teaching excellence in the physical sciences at Brown University, the ACP Award for Research Excellence in Constraint Programming, the ICS INFORMS Prize for Research Excellence at the Intersection of Computer Science and Operations Research, and an NSF National Young Investigator Award. He received a Test of Time Award (20 years) from the Association of Logic Programming and numerous best paper awards, including at IJCAI and AAAI. Van Hentenryck has given plenary/semi-plenary talks at the International Joint Conference on Artificial Intelligence (twice), the International Symposium on Mathematical Programming, the SIAM Optimization Conference, the Annual INFORMS Conference, NIPS, and many other conferences. Van Hentenryck was program co-chair of the AAAI’19 conference, a premier conference in Artificial Intelligence. Van Hentenryck’s research focuses in Artificial Intelligence, Data Science, and Operations Research. His current focus is to develop methodologies, algorithms, and systems for addressing challenging problems in mobility, energy systems, resilience, and privacy. In the past, his research focused on optimization and the design and implementation of innovative optimization systems, including the CHIP programming system (a Cosytec product), the foundation of all modern constraint programming systems and the optimization programming language OPL (now an IBM Product). Van Hentenryck has also worked on computational biology, numerical analysis, and programming languages, publishing in premier journals in these areas.
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