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Dr. Ted Ralphs received his Ph.D. in Operations Research from Cornell University in 1995. He is a professor in the Department of Industrial and Systems Engineering (ISE) at Lehigh University and is co-founder and director of Lehigh's Laboratory for Computational Optimization Research at Lehigh (COR@L). He is also co-founder and board member of the COIN-OR Foundation, a non-profit foundation promoting the development of open source software for operations research, as well as the project manager for a variety of projects hosted in the COIN-OR open source software repository. He is the area editor for Software Tools at the INFORMS Journal on Computing and the area editor for Data, Software, and Computation at Operations Research. He is a Fellow of INFORMS. His research interests include theoretical aspects of discrete optimization, such as duality and complexity theory; development of a variety of methodologies for solving a range of discrete optimization problems, such as those with multiple levels/stages or multiple objectives; development of parallel search algorithms; development of open source software; and applications of discrete optimization.

Martin Grötschel, born in 1948, studied mathematics at U Bochum (1969-1973), received his PhD in economics (1977) and his habilitation in Operations Research (1981) at U Bonn. He was professor of applied mathematics at U Augsburg 1982-1991, professor of information technology at TU Berlin and vice president/president of the Zuse Institute for Information Technology Berlin (ZIB) 1991-2015. Grötschel was the President of the German Mathematical Society (DMV) 1993-1994, Secretary General of the International Mathematical Union (IMU) 2007-2014, President of the Berlin Brandenburg Academy of Sciences and Humanities (BBAW) 2015-2020 and chaired the DFG Research Center MATHEON “Mathematics for Key Technologies” 2002-2008. He has held numerous further science administration and advisory positions. Grötschel’s main areas of research are discrete mathematics, optimization, and operations research. He has made, e.g., contributions to polyhedral combinatorics and to the development of methods proving the polynomial time solvability of optimization problems. He has also focused on the design of practically efficient algorithms for hard combinatorial optimization problems appearing in practice, such as the travelling salesman, the max-cut, the linear ordering, and various connectivity problems. Cutting plane algorithms for integer programming are among his favorites. The application areas include telecommunications, chip design, energy, production planning and control, logistics, and public transport. He has been an open access and open science activist and is currently involved in fostering digital humanities. Grötschel’s scientific achievements were honored with several distinctions including the Cantor Medal, the Leibniz, the Beckurts, the Dantzig, the Fulkerson, and the John von Neumann Theory Prize. He holds four honorary degrees and is a member of seven scientific academies, including the US National Academy of Engineering. For more details, see http://www.zib.de groetschel/ Martin Grötschel and his wife Iris enjoy travelling, understanding and appreciating varied cultures, and exploring their history and archaeology.

Carola Doerr, formerly Winzen, is a CNRS research director in the Computer Science department LIP6 of Sorbonne Université in Paris, France. Carola's main research activities are in the analysis of black-box optimization algorithms, both by mathematical and by empirical means. Specifically, she is very interested in controlling the choice and the configuration of black-box optimization algorithms all along the optimization process -- with and without Machine Learning techniques. She is equally interested in complexity results, running time bounds, good benchmarking practices, empirical evaluations, and practical applications of self-adjusting black-box optimization algorithms. Carola is associate editor of IEEE Transactions on Evolutionary Computation, ACM Transactions on Evolutionary Learning and Optimization (TELO) and Evolutionary Computation. She is/was program chair for the BBSR track at GECCO 2024, the GECH track at GECCO 2023, for PPSN 2020, FOGA 2019 and for the theory tracks of GECCO 2015 and 2017. She has organized Dagstuhl seminars and Lorentz Center workshops. Together with Pascal Kerschke, Carola leads the 'Algorithm selection and configuration' working group of COST action CA22137. Carola's works have received several awards, among them the CNRS bronze medal, the Otto Hahn Medal of the Max Planck Society, best paper awards at GECCO, CEC, and EvoApplications.

Emilio Carrizosa is Full Professor of Statistics and Operations Research in the University of Seville, Spain. His research interests include: Industrial and Applied Mathematics; Data Science (Explainable and Fair Machine Learning, Supervised Classification and Regression), Mathematical Optimization and Operations Research (Mixed Integer Nonlinear Programming, Global Optimization, Vector Optimization). He is President of math-in, the Spanish Network of Industrial Mathematics (2021-), President of PET MSO-ED, the Spanish Platform for Technologies of Modelling, Simulation and Optimization in a Digital Environment (2023-), and has served as Director of IMUS, the Mathematical Institute of the University of Seville, President of SEIO, the Spanish Statistics and OR Society, and Editor-in-Chief of TOP, the Spanish OR journal. He has (Scopus: 18.10.23) 147 publications with 1,848 citations (819 in the period 2019-2023), yielding an h-index: 25. He has papers in top journals in the area Operations Research and Management Science: Operations Research (2), Mathematical Programming (6), Management Science (1), Mathematics of Operations Research (4), Omega (4), European Journal of Operational Research (25), Computers & OR (21). Due to his interdisciplinary research, he has also published indisciplines beyond OR: Statistics and Probability (Biostatistics, ADAC, CSDA, J Multivariate Analysis, J of Applied Probability), Energy (Applied Energy, Solar Energy, International Journal of Energy Research), Chemical Engineering (Computers & Chemical Engineering, Industrial & Engineering Chemistry Research), Hydrology (J of Hydrology). The Spanish Research Agency has acknowledged 5 research periods (5 sexenios de investigación): 1990-95, 1996-01, 2002-07, 2008-13, 2014-19. He has supervised 14 PhD Theses (plus 4 ongoing in the University of Seville), three of them have been awarded various national and international prizes: Vanesa Guerrero (Premio Extraordinario de Doctorado Universidad de Sevilla, Research Award Vicent Caselles RSME-FBBVA, Research Award Ramiro Melendreras SEIO 2018), M. Asunción Jiménez-Cordero (Premio Extraordinario de Doctorado Universidad de Sevilla), Cristina Molero-Rı́o (Classification Society Distinguished Dissertation Award 2022). For his research activity, he has received awards such as the Excellence FAMA Award 2020 (branch: Sciences) in the University of Seville, the Award Academia Sevillana de Ciencias for young researchers (1998) and the Doc2toral Award in the PhD in Mathematics in the University of Seville (1993). He is involved in Transfer of Knowledge activities. He has been leading researcher in industrial projects and contracts in applications of OR to different sectors: Energy (Repsol, Abengoa, TSK Flagsol), Health (UDX), Logistics (Azur Global Business SL), Information Technologies (Junta de Andalucı́a), and also participating in contracts on Environment (Junta de Andalucı́a), Smart cities (IMESAPI), Logistics (Portel). Since 2022 he is Scientific Advisor of the OR-IA company OGA. The Spanish Research Agency has acknowledged 1 transfer of knowledge period (1 sexenio de transferencia): -2013. He has an intense activity of outreach, participating in debates and interviews in tv, radio and newspapers on industrial mathematics and teaching mathematics.

Shadi Sharif Azadeh is an associate professor at Civil Engineering and Geosciences faculty and the co-director of SUM Lab (Sustainable Urban Multi-modal Mobility) at TU Delft. Previously, she worked as an assistant professor at Erasmus University Rotterdam, in the group of Operations Research and Logistics. She holds a PhD in Mathematics (operations research) from Polytechnique Montreal where she received doctorate excellency award at University of Montreal (CIRRELT) as well as Michael Florian Award for best PhD thesis research award in Canada. Her areas of expertise include integration of operations research with behavioural models for transport, mobility and logistics networks (Choice Driven Optimization). More precisely, her current major projects are related to: (i) developing methods to tackle uncertainty with a special focus on forecasting and scenario generation for passenger mobility and parcel delivery services; (ii) combining pricing and assortment optimisation methods to model supply and demand interplay for last mile trip/delivery; (iii) developing real-time methods to incorporate in combinatorial optimisation framework for large-scale transport problems; (iv) special focus on designing sustainable multi-modal transport systems; and (v) introducing solutions to mitigate the impacts of climate change on transport networks. She is an Associate Editor at Transportation Science, an editorial board editor at Transportation Research Part B: Methodological, editorial board member of Transportation Research Part C: Emerging Technologies. She serves as an Associate Editor of Nature Series (npj) Sustainable Mobility and Transport journal. She has served as guest editor of three special issues at Transportation Science (2021-2023), EURO Journal of Transport and Logistics (2021-2023) and OR Spectrum (2023-).

Thomas Stützle is a research director of the Belgian F.R.S.-FNRS (National Science Foundation) working at the IRIDIA laboratory of Université libre de Bruxelles (ULB), Belgium. He received the Diplom (German equivalent of MSc. degree) in business engineering from the Universität Karlsruhe (TH), Germany in 1994, and his PhD and habilitation in computer science both from the Computer Science Department of Technische Universität Darmstadt, Germany, in 1998 and 2004, respectively. He has co-authored three books among which are “Stochastic Local Search: Foundations and Applications” (Morgan Kaufmann) and “Ant Colony Optimization” (MIT Press), both being the main references in their respective areas. His other publications include more than 250 articles in journals, international conferences or edited books many of which are highly cited. In fact, his research contributions received so far more than 60,000 citations in Google Scholar and his h-index is 84. His main research interests are in stochastic local search algorithm, swarm intelligence, multi-objective optimization, and automatic design of algorithms. He is probably best known (i) for his contributions to early advancements in ant colony optimization including algorithms such as Max-Min Ant System, (ii) the establishment of algorithmic frameworks for iterated local search and iterated greedy, and (iii) as a driving force in the advancement of automatic algorithm configuration techniques and their usage in the automatic design of high-performing algorithms. He received seven best paper awards from conferences and his 2002 GECCO paper on “A Racing Algorithm for Configuring Metaheuristics” received the 2012 SIGEVO impact award. He is an Associate Editor of Applied Mathematics and Computation, Computational Intelligence, Evolutionary Computation, International Transactions in Operational Research, and Swarm Intelligence and on the editorial board of seven other journals. He is also frequently involved in international conferences and workshops with program or organizational responsibilities. In 2018, Thomas suffered a stroke that affected, among other things, his ability to remember words, but he has improved a lot and he is now working full time again.

Ignacio E. Grossmann is the R. R. Dean University Professor in the Department of Chemical Engineering, and former department head at Carnegie Mellon University. He obtained his B.S. degree at the Universidad Iberoamericana, Mexico City, in 1974, and his M.S. and Ph.D. at Imperial College in 1975 and 1977, respectively. He is a member and former director of the Center for Advanced Process Decision-making, an industrial consortium that involves about 20 petroleum, chemical, engineering, and software companies. He is a member of the National Academy of Engineering, and Fellow of AIChE and INFORMS. He has received the INFORMS Computing Society Prize and the following AIChE awards: Computing in Chemical Engineering, William H. Walker for Excellence in Publications, Warren Lewis for Excellence in Education, Research Excellence in Sustainable Engineering, and Founders Award for Outstanding Contributions to the Field of Chemical Engineering. In 2015, he was the first recipient of the Sargent Medal by the IChemE. He has honorary doctorates from Abo Akademi in Finland, University of Maribor in Slovenia, Technical University of Dortmund in Germany, University of Cantabria in Spain, Russian Kazan National Research Technological University, Universidad Nacional del Litoral, Argentina, Universidad de Alicante in Spain and RWTH Aachen, Germany. He is a 2019 top cited scientist in Computer Science and Electronics: 53 Worldwide, 38 National. He has authored more than 700 papers, the recent textbook Advanced Optimization for Process Systems Engineering, and the textbook Systematic Methods of Chemical Process Design, which he co-authored with Larry Biegler and Art Westerberg. He has also organized the virtual library on process systems engineering. Grossmann has graduated 68 Ph.D. and 34 M.S. students. His main research interests are in the areas of discrete continuous optimization, optimal synthesis and planning of chemical processes and energy systems, and supply chain optmization.

Dr. Robert Bixby has a BS in IEOR from U.C. Berkeley (1968), and a PhD in OR from Cornell (1972). He has held academic positions at the University of Kentucky, Northwestern University, and Rice University. He is currently Noah Harding Professor Emeritus at Rice University and visiting Professor of Mathematics at Friedrich-Alexander-Universität Erlangen-Nürnberg. He co-founded CPLEX Optimization in 1987, and co-founded Gurobi Optimization in 2008, serving as CEO from 2008-2015. Dr. Bixby has published over fifty journal articles and is an acknowledged expert on the computational aspects of linear and integer programming. He has won the Beale-Orchard-Hays Prize of the Mathematical Programming Society, and the INFORMS Impact and Frederick W. Lanchester Prizes. He was Editor-in-Chief Mathematical Programming, Series A, 1989-1994, and Chairman of the Mathematical Programming Society, 2001-2004. In 1997 he was elected to the National Academy of Engineering, and in 2012 he was awarded an honorary doctorate in Mathematics from the University of Waterloo, Canada.

Changhyun Kwon is an Associate Professor in Industrial and Systems Engineering at KAIST. His research aims to advance computational optimization methods for efficient transportation and logistics systems. His current focus is to improve the efficiency of heuristic and exact algorithms using machine-learning approaches to solve large-scale vehicle routing problems and mobility service operations problems. He received a Ph.D. in Industrial Engineering in 2008 from Penn State and a B.S. in Mechanical Engineering from KAIST in 2000. His research has been published in Operations Research, Transportation Science, Transportation Research Part B, INFORMS Journal on Computing, etc. Before joining KAIST, he was a faculty member at the University at Buffalo and the University of South Florida. Currently, he is on the Editorial Boards of Transportation Research Part B: Methodological, Socio-Economic Planning Sciences, and the Transportation Network Modeling Committee of TRB. He was the Chair of the Urban Transportation SIG of the INFORMS TSL Society and is the current International Liaison for Asia/Oceania. He wrote the book "Julia Programming for Operations Research," and he is a member of the JuMP steering committee, an open-source community for developing mathematical optimization tools in Julia. He received the NSF CAREER award in 2014, and his research has been funded by the National Science Foundation, the U.S. Department of Transportation, and the National Research Foundation of Korea.

Jing-Sheng Jeannette Song is the R. David Thomas Professor of Business Administration and a Professor of Operations Management at the Fuqua School of Business of Duke University. Professor Song holds a Ph.D. from Columbia University. She studies supply chain management and operations strategy, topics including supply chain inventory optimization and resilience strategies, Assemble-to Order systems and supply chain flexibility, dynamic pricing and inventory control, data-driven operational decision-making, supply chain digitization, e-commerce strategies and network design, and socially responsible operations. She has published numerous articles in leading academic journals, such as Management Science, Operations Research, and Manufacturing & Service Operations Management. She has edited and co-edited two books, “Research Handbook on Inventory Management” and “Supply Chain Structures: Coordination, Information and Optimization.” She has also co-authored the book “The Art of Matching: Joy of Living and Operations Innovations” (in Chinese). Professor Song is an INFORMS Fellow, a Distinguished Fellow and former President of the Manufacturing and Service Operations Management (MSOM) Society, and a Department Editor for Management Science and Service Science. She is also a former Area Editor for Operations Research and IIE Transactions. She is a recipient of the Distinguished Overseas Young Scholar Award（海外 出青年）by the Natural Science Foundation of China and was named a Chang Jiang Chaired Professor by the Ministry of Education in China (教育部长江学者讲座教授).

Karla Hoffman is a Professor in the Systems Engineering and Operations Research Department at George Mason University (GMU) where she served as Chair for five years. She received her D.Sc. from George Washington University in operations research. Prior to her position at GMU, she worked as a mathematician in the Center for Applied Mathematics of the National Institute of Standards and Technology (NIST) where, in 1984, she was awarded the Applied Research Award. Her other awards include George Mason University's Distinguished Faculty Award, the INFORMS Fellows Award, the INFORMS George E. Kimball Medal and the INFORMS Edelman Prize. Recently, she was inducted as a Fellow of IFORS (The International Federation of OR Societies). She served as President of INFORMS in 1999 and has also served on the Executive Committees of ORSA, IFORS, and the Mathematical Programming Society. She has served on multiple editorial boards. Dr. Hoffman’s primary areas of research are optimization and auction design and testing. Her research focuses on the development of new algorithms for solving complex problems arising in industry and government. She serves as a consultant to the FCC on spectrum auctions and has previously consulted to a variety of government agencies including Dept. of Defense, the Federal Aviation Administration, the Internal Revenue Service, the Dept. of Transportation, and the Commerce Department. Her industrial consulting has been in dynamic and real-time routing and scheduling, and in capital budgeting.

Paolo Toth is "Professor Emeritus" of “Operations Research” at DEI: (Department of Electrical and Information Engineering “Guglielmo Marconi”, Alma Mater Studiorum University of Bologna, A.D. 1088), where he was Full Professor from 1983 to 2011. His research interests include Operations Research and Mathematical Programming methodologies and, in particular, the design and implementation of effective exact and heuristic algorithms for Combinatorial Optimization and Graph Theory problems, and their application to real-world Transportation, Logistics, Loading, Routing, Crew Management, Railway Optimization problems. He is author of more than 190 papers published in international journals and of the book "Knapsack Problems: Algorithms and Computer Implementations" (coauthor S. Martello; J. Wiley, 1990). He is also Co-editor of the books "The Vehicle Routing Problem" (SIAM Monographs on Discrete Mathematics and Applications, 2002) and "Vehicle Routing: Problems, Methods and Applications” (MOS-SIAM Series on Optimization, 2014). He was President of EURO (Association of the European Operational Research Societies) for the period 1995-1996, and President of IFORS (International Federation of the Operational Research Societies) for the period 2001-2003. He acted as Chair of the Program Committee for the Triennial IFORS Conference in 1999. He received several international awards, among which: the "EURO Gold Medal" (the highest distinction within Operations Research in Europe) in 1998; the "Robert Herman Lifetime Achievement Award in Transportation Science" (from INFORMS) in 2005; the "INFORMS Fellowship" in 2016; the “EURO Distinguished Service Award” in 2019; the "IFORS Fellowship" in 2020. In May 2003, the University of Montreal conferred him a "Doctorate honoris causa" in Operational Research. In October 2012, at the INFORMS Annual Meeting), he delivered the “IFORS Distinguished Plenary Lecture”; in July 2023, at the IFORS Triennial Conference, he delivered the “EURO Plenary Address”. He supervised more than 200 master theses, 25 PhD students from 6 different countries, and 16 Post-Docs.

Jayme Szwarcfiter is a Professor Emeritus at Universidade Federal do Rio de Janeiro (UFRJ) and Visiting Professor at Universidade Estadual do Rio de Janeiro (UERJ) in Brazil. His research interests are related to Graph Theory, Algorithms, Theory of Computation, and Discrete Mathematics. He has published more than 170 journal papers and several influential textbooks in these areas, and has supervised dozens of masters and doctoral students. Jayme is a Full Member of the Brazilian Academy of Sciences, and he has received numerous national and international awards such as the Grand Cross for Scientific Merit, the Almirante Álvaro Alberto prize, the Scientific Merit Prize awarded by the Brazilian Computer Society, and the Luis Federico Leloir prize, awarded by the Ministry of Science, Technology and Productive Innovation of Argentina. In addition, Jayme was a visiting professor in many countries like the US, England, Scotland, Argentina, Germany, France, Poland, Israel, Czech Republic, and Japan.

Margarida Carvalho has a bachelor and masters in mathematics. In 2016, she completed the PhD in computer science at the University of Porto (Portugal) for which she received the 2018 EURO Doctoral Dissertation Award. In 2017, she came to Montreal as an IVADO postdoctoral fellow at Polytechnique and never left since then. One year after, 2018, she became an Assistant Professor in the Department of Computer Science and Operations Research at the University of Montreal, where now she holds the FRQ-IVADO Research Chair in Data Science for Combinatorial Game Theory. Margarida is an expert in mixed-integer programming, algorithmic game theory and computational complexity. She has papers in prestigious OR journals such as Operations Research, Management Science, and Mathematical Programming, as well as publications on the intersection of optimization, economics and machine learning in top conferences like EC, NeurIPS, and AAAI. Margarida is associate editor in INFORMS Journal on Computing, OR Spectrum and Dynamic Games and Applications.

Bruce Golden received his undergraduate degree in mathematics from the University of Pennsylvania and his masters and doctoral degrees from the Massachusetts Institute of Technology. He joined the faculty of the University of Maryland Business School in 1976 and served as a Department Chairman from 1980 to 1996. Currently, he is the France-Merrick Chair in Management Science in the Robert H. Smith School of Business at the University of Maryland. His research interests include heuristic search, combinatorial optimization, networks, and applied operations research. Bruce has received numerous awards, including the Thomas L. Saaty Prize (1994 and 2005), the University of Maryland Distinguished Scholar-Teacher Award (2000), the INFORMS Award for the Teaching of OR/MS Practice (2003), and the INFORMS Computing Society Prize (2005). He was named an INFORMS Fellow in 2004. Since 1999, Bruce has served as Editor-in-Chief of NETWORKS. Before that, he was Editor-in-Chief of the INFORMS Journal on Computing. In addition, he has received numerous contracts and grants, has consulted for a wide variety of organizations, and has served on the Board of Directors of several high-tech companies based in Maryland. In 1980, he founded a management consulting company with several colleagues. The focus was on business logistics. Clients included IBM, UPS, the U.S. Postal Service, the U.S. Air Force, the U.S. Army, Federal Express, Toyota, DuPont, and many others. In the late 1980’s, Bruce co-founded a second company, specializing in the design and sales of vehicle routing software. He and his partners successfully grew these companies and sold them in late 1998. The surviving company is RouteSmart Technologies, Inc. and it continues to thrive. Recent clients include the U.S. Postal Service, FedEx Ground, Australia Post, Swiss Post and many others. Bruce Golden was selected as the second VeRoLog Fellow (and first non-European) in July 2017. The VeRoLog Fellow title is awarded by the board of the European Working Group on Vehicle Routing and Logistics Optimization to an individual who throughout his or her professional career has made fundamental and sustained contributions to vehicle routing and logistics optimization, and has influenced the field through his or her writings, teaching, service, and nurturing of younger professionals. In addition, in 2018 he was nominated and selected as a recipient of the George E. Kimball Medal for distinguished service to INFORMS and to the profession of operations research and management sciences. In 2019, Professor Golden received the Robert Herman Lifetime Achievement Award in Transportation Science & Logistics.

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. From 2006, Dr. Achterberg worked for ILOG / IBM as developer of CPLEX in versions 11 to 12.6. Since 2014 he participates in the development of the Gurobi Optimizer, currently being the Vice President of R&D at Gurobi. In his spare time, Dr. Achterberg continues to work on the Gurobi MIP solver, because he is addicted to MIP. He does not have any interest in other things; his spouse, his three children, his two drum kits, and his attendances in the moshpits of punk rock concerts are just mock-ups to pretend having a normal life.

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. Gilbert Laporte has received many scientific awards including the Pergamon Prize (UK) in 1987, the 1994 Award of Merit from the Canadian OR Society (CORS), and the CORS Practice Prize on four occasions. In 1999, he obtained the Jacques-Rousseau Prize for Interdisciplinarity from the Association canadienne-française pour l’avancement des sciences (Acfas), and the President’s Medal from the Operational Research Society (UK). In 2001, he was awarded the Grand Prize for Teaching Excellence by HEC Montréal. He has been a Fellow of the Royal Society of Canada since 1998, and a Fellow of INFORMS since 2005. In 2005, he was the co-winner of the Glover-Klingman Prize. In 2007 he was awarded the Innis-Gérin Medal from the Royal Society of Canada. In 2009 he received the Gérard-Parizeau Award, he was inducted as the 42nd Honorary Member of the INFORMS International Omega Rho Society, and he received the Robert Herman Lifetime Achievement Award in Transportation Science from the Transportation Science and Logistics Section of INFORMS. In 2012, he won the Pierre-Laurin Award from HEC Montréal for his overall career research achievements. In 2014, he was the co-winner of the FICO Global “Optimize the Real World” contest and he received the Lifetime Achievement in Location Analysis Award from the INFORMS Section on Location Analysis. In 2016 the Eindhoven University of Technology awarded him a Doctorate honoris causa and he received the Acfas Urgel-Archambault Prize in physical sciences, mathematics, computer science or engineering. He obtained the FRQNT 2016-2017 Excellence Award. In 2018, he received a Doctorate honoris causa from the Université de Liège, as well as the Marie-Victorin prize awarded by the Quebec government to a researcher in engineering or natural sciences. He also became a member of the Order of Canada. In 2019, he was elected international member of the National Academy of Engineering (USA) and he became a fellow of the EURO Working Group on Vehicle Routing and Logistics Optimization. In 2020 he was named Member Emeritus of CORS. In 2021 he won the Killam Prize in Engineering and he received a Doctorate honoris causa from the Norwegian University of Science and Technology, Trondheim, Norway. In 2022 he received the Euro Gold Medal from the Association of European Operational Research Societies, he was a co-winner one of the SEIO-BBVA Foundation prizes and of the Goodeve Medal awarded by the British OR Society.

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.

Francisco Saldanha da Gama is professor of Operations Research in the Department of Statistics and Operations Research at the Faculty of Science, University of Lisbon, Portugal. He has a large teaching experience both in terms of undergraduate and post-graduate programs focusing on the fields of Operations Research, Mathematical Programming, Discrete Optimization, Stochastic Optimization, Logistics, and Operations Management. Has published extensively in scientific international journals mostly in the areas of supply chain management, logistics, location analysis, project scheduling, and discrete optimization. He has co-edited the two editions of the volume “Location Science” published by Springer International Publishing. Presented above 150 contributed talks in scientific events and has been invited to innumerable scientific events as a plenary/semi-plenary/keynote speaker. Has been awarded several prizes and honors such as the EURO prize for the best EJOR review paper (2012) and the Elsevier prize for the EJOR top cited article 2007–2011 (2012). He has been member of innumerable scientific committees of international conferences and other scientific events. He is member of several international scientific organizations and institutions such as INFORMS, CMAFcIO—Centro de Matemática Aplicações Fundamentais e Investigação Operacional, University of Lisbon, ECCO—European Chapter on Combinatorial Optimization, EWGSO Working Group on Stochastic Optimization, SOLA—INFORMS Section on Location Analysis), and EWGLA—EURO Working Group on Locational Analysis, of which he is one of the past coordinators. Currently he is Editor-in-Chief of Computers & Operations Research as well as member of the Editorial Advisory Board of the Journal of the Operational Research Society (UK) and Operations Research Perspectives. His research interests include supply chain management, logistics, decision-making under uncertainty, project scheduling and management.

Greet Vanden Berghe holds a degree in Metallurgy and Materials Engineering (KU Leuven). She has always been interested in mathematical modelling which led her in the direction of pursuing combinatorial optimization research. Her PhD focused on scheduling and particularly on developing a general model for personnel rostering that would be applicable across a wide range of health care organizations. This subject provided the perfect opportunity to initiate cooperation with the University of Nottingham, where she spent a one-year research stay. In 2002, she obtained a PhD in Engineering Science (Ghent University). Greet Vanden Berghe was appointed as professor at KU Leuven, Department of Computer Science in October 2014. She is currently a member of research unit NUMA (Numerical Analysis and Applied Mathematics) and leads the CODeS research group located at KU Leuven-Gent. Operational research represents Greet Vanden Berghe's primary research interest. Within the broad domain of operational research she focuses on complex combinatorial optimization problems. Examples of such problems include personnel scheduling, vehicle routing and all sorts of logistic operations. Her fundamental research activities involve mathematical modelling and the development of intelligent search algorithms such as heuristics and decomposition methods. She has successfully developed many heuristic decomposition algorithms, smart ways of tightening objectives or relaxing constraints, heuristics based on lower and upper bounding, and general-purpose local search operators. These new algorithm components have helped achieve the best computational results in several international competitions and benchmarking challenges. When studying industrial combinatorial optimization problems, especially their complicated constraints and objectives, Greet Vanden Berghe's team experienced that theory almost always falls short when it comes to efectively solving real-world problems. These insights led to the development of completely new yet highly efficient models and algorithms for industrial problems. Interestingly, developments for industrial-scale optimization problems often result in new theoretical insights given the inevitable need to simplify reality when modelling. Indeed, these new modelling methodologies are competitive with and often better than state-of-the-art algorithms focused on theoretical problems. CODeS provides benchmarks for various international challenges involving problems  such as pickup and delivery, vehicle routing and sports timetabling. Greet Vanden Berghe cooperates with industry within many applied research projects (supported by VLAIO or by the companies themselves). These projects target the internal use of optimization algorithms for real-world applications. Implementations of these algorithms are often deployed in more generally applicable decision support systems.

Ricardo Fukasawa is a Professor at the Department of Combinatorics and Optimization at the University of Waterloo. He did his undergraduate and Masters in Electrical Engineering at PUC-Rio in Brazil. He worked at GAPSO Inc from 2000-2003. He then did a PhD in the Algorithms, Combinatorics and Optimization program at GeorgiaTech. He was a recipient of the IBM Herman Goldstine Postdoctoral fellowship from 2008-2009, and moved to Waterloo afterwards. He received the Early Researcher Award from the Ontario Ministry of Research and Innovation. He is an Associate editor of Operations Research, OR Letters, RAIRO-OR and INFOR: Information Systems and Operational Research, and a Technical Editor for Mathematical Programming Computation. He has publications in several prestigious international journals like Mathematical Programming, Math of OR, INFORMS Journal on Computing, Mathematical Programming Computation and Transportation Science. His research interests are in developing theory and computational tools for the exact solution of hard discrete optimization problems, as well as their applications in practical problems. He has contributions in several areas, including Integer Programming, Vehicle Routing, Stochastic Programming, Bilevel Programming, as well as several applications.

Martin Savelsbergh is a logistics and optimization specialist with over 30 years of experience in mathematical modeling, operations research, optimization methods, algorithm design, performance analysis, transport, supply chain management, and production planning. He has published over 200 research papers in many of the top operations research and optimization journals and has supervised more than 30 Ph.D. students. Martin has a track record of creating innovative techniques for solving large-scale optimization problems in a variety of areas, ranging from service network design, to last-mile and crowdsourced delivery, to ridesharing. He has demonstrated an ability to design and implement highly sophisticated and effective optimization algorithms as well as an ability to analyze practical decision problems and translate the insights obtained into optimal business solutions. Martin is an INFORMS fellow and he was the James C. Edenfield Chair in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Institute of Technology until he retired in 2021. Martin is past Editor-in-Chief of Transportation Science, one of the most prestigious academic journals in the area of transportation science and logistics.

Pooja Dewan is the Vice President and Chief Data Analytics Officer for Otis Elevator Company. She is responsible for driving the data and analytics vision, strategy, and execution. In this critical role, she leads the company’s data science and analytics capabilities, identifying opportunities to accelerate growth and efficiency. She also owns the Otis data management roadmap driving sustainable business growth and profitability, as well as internal efficiencies through improved access to through data architecture, constant data cleanliness and insight, and efficient data governance and processes. Prior to this role, Pooja spent more than 20 years at BNSF Railway where she served as the Chief Data Scientist. There she led the Operations Research and Advanced Analytics group for 17 years. Her team received international recognition through an INFORMS award as the Best Advanced Analytics Team in 2019. Pooja has been a member of INFORMS (Operations Research Society) since 1993. During this time, she led several initiatives offered by INFORMS, including the Chairing of Edelman competition the prized Practice Award, various officer roles for Practice and Railway Section including being the President. In addition to her role for Practice and Railway section she has also been instrumental in championing activities that help bridge the gap between academia and real-world application and is currently serving on several Advisory Boards. Pooja earned a master's and doctorate in industrial engineering from Pennsylvania State University. She is also the author of several research publications in various scientific journals.

Ramayya Krishnan is the W. W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at the H. John Heinz III College of Information Systems and Public Policy and the Department of Engineering and Public Policy at Carnegie Mellon University. He joined the CMU faculty in 1988. He is the Founding Dean of the Heinz College of Information Systems and Public Policy and has held that position since 2009. Krishnan’s education spans engineering, operations research, statistics and computing (the data sciences). He studied Mechanical Engineering at the Indian Institute of Technology and then went on to complete a M.S. in Industrial Engineering and Operations Research at the Cockrell School of Engineering and a PhD in Management Science and Information Systems at the McCombs School of Business, both at the University of Texas at Austin. A distinctive feature of his work has been deep partnerships with firms and government agencies and the pursuit of work that has made foundational contributions to science while making a real-world impact. His multi-disciplinary research program has involved faculty and students, undergraduate and graduate, from nearly all the Colleges and Schools at the university. He has been a serial academic entrepreneur and established multiple, externally funded, university-wide research centers at CMU. He founded the Master of Information Systems Management program in 1998 and is currently leading the creation and launch of new undergraduate programs at the nexus of systems thinking, information systems, and data analytics. His scholarly contributions to Operations Research, Information Systems, and analytics, and his editorial and leadership activities resulted in his being elected an AAAS Fellow, an INFORMS Fellow, and a fellow of the National Academy of Public Administration. He has been deeply engaged in policy work both at home and abroad. He led the CMU Task Force supporting Gov. Wolf in economic recovery and reopening in 2020-2021. In 2022, he was appointed to the National AI advisory committee which is charged with advising the President and the White House National AI Initiatives Office. He is a recipient of the distinguished alumnus award of the Indian Institute of Technology, Madras and the University of Texas at Austin. He served as the 25th President of INFORMS, the global operations research and analytics society, in 2019 and a three year term on its executive committee from 2017-2020.

Jeff Linderoth is the Harvey D. Spangler Professor in the department of Industrial and Systems Engineering at the University of Wisconsin-Madison. He holds a courtesy appointment in the Computer Sciences department and as a Discovery Fellow at the Wisconsin Institutes of Discovery. His research interests include optimization, integer programming, mixed integer nonlinear programming and stochastic optimization. His awards include an Early Career Award from the Department of Energy, the SIAM Activity Group on Optimization Prize, and the INFORMS Computing Society Prize. In 2016, Jeff was elected to membership as an INFORMS Fellow. He  acted as Associate Editor for highly important OR journals such as Operations Research, INFORMS Journal on Computing and Computational Optimization and Applications. He also acted as consultant for more than 10 companies and supervised 11 PhD dissertations.

Phebe Vayanos is Professor of Industrial & Systems Engineering and Computer Science at the University of Southern California, and an Associate Director of the Center for Artificial Intelligence in Society.  Prior to joining USC, she was a lecturer in the Operations Research and Statistics Group at the MIT Sloan School of Management, and a postdoctoral research associate in the Operations Research Center at MIT. She holds a PhD degree in Operations Research and an MEng degree in Electrical & Electronic Engineering, both from Imperial College London. Through her research, she aims to advance integer, stochastic, and robust optimization, and their interface with machine learning, causal inference, and economics to enable the design of predictive and prescriptive models that are robust, interpretable, and fair, being suitable to deploy in high-stakes settings. In particular, she aims to directly apply the methods and tools she creates in her work to make a positive impact on society, especially supporting undeserved and marginalized communities. She is the recipient of the NSF CAREER award and the USC Viterbi Junior Research Award and, jointly with her students, she earned the INFORMS Diversity, Equity, and Inclusion Ambassador Program Award. Since 2019, Phebe is serving as a member of the ad hoc INFORMS AI Strategy Advisory Committee. She is an elected member of the Committee on Stochastic Programming, which is the governing body of the Stochastic Programming Society. Phebe is also the VP of Communications for the Section on Public Sector OR at INFORMS. In addition, she is an Associate Editor for Computational Management Science and for Operations Research Letters.

Andrés Medaglia is full professor of Industrial Engineering at Universidad de los Andes (Bogotá, Colombia) and director of the research center Centro para la Optimización y Probabilidad Aplicada (COPA). He holds a Ph.D. (2001) in Operations Research (OR) from North Carolina State University (USA). From 1999 to 2002 he worked as an optimization specialist developing decision support systems for SAS (Cary, NC, USA). In 2002, he joined the Industrial Engineering Department at Universidad de los Andes and served as Department Chair from 2014 to 2017. He has more than 20 years of experience designing, developing, and applying optimization methodologies to transportation and logistics, healthy and sustainable cities, engineering design, and agricultural systems. His research has led to over 70 peer-reviewed publications in operational research (OR).  He currently serves in the editorial boards of Transportation Science, Computers and Operations Research, the European Journal of Industrial Engineering, and TOP (journal of the Spanish OR and Statistics Society). He has served as Secretary and Vicepresident of the Latin-Ibero American Association of Operations Research (ALIO); as Vicepresident of Central/South America for the Institute of Industrial and Systems Engineers (IISE); and as Vicepresident of the Colombian Operational Research Society (ASOCIO). In INFORMS, he currently serves in the Publications Committee. He has been the recipient of several awards, most recently, the Glover-Klingman Prize (2020), the INFORMS/TSL President’s Service Award (2017), the IFORS Prize for OR in Development (Quebec City, Canada, 2017), and the EURO Award for the Best EJOR (Review) Paper in 2015. He was the IFORS Invited Tutorial Lecturer at EURO 2018 (Valencia, Spain); and keynote speaker at the IISE Annual Conference and Expo (2021), the International Conference on OR for Development (ICORD 2016) (México DF, Mexico), Optimization Days (Montréal, Canada, 2014), and the NSF - Pan-American Advanced Studies Institute (PASI) on Modeling, Simulation and Optimization of Globalized Physical Distribution Systems (Santiago, Chile, 2013). As an avid amateur cyclist, he has won bronze, silver, and gold medals in the (Colombian) individual time trial championships at the masters category. More information at: http://wwwprof.uniandes.edu.co/~amedagli.

Kate Smith-Miles is a Melbourne Laureate Professor of Applied Mathematics in the School of Mathematics and Statistics at The University of Melbourne, and Director of the ARC Industrial Transformation Training Centre for Optimisation Technologies, Integrated Methodologies and Applications (OPTIMA). She is also Associate Dean (Enterprise and Innovation) for the Faculty of Science at The University of Melbourne.  

Prior to joining The University of Melbourne in September 2017, she was Professor of Applied Mathematics at Monash University,  Head of the School of Mathematical Sciences (2009-2014), and inaugural Director of the Monash Academy for Cross & Interdisciplinary Mathematical Applications (MAXIMA) from 2013-2017. Previous roles include President of the Australian Mathematical Society (2016-2018), and membership of the Australian Research Council College of Experts (2017-2019).  

Kate obtained a B.Sc(Hons) in Mathematics and a Ph.D. in Electrical Engineering, both from The University of Melbourne. Commencing her academic career in 1996, she has published 2 books on neural networks and data mining, and over 280 refereed journal and international conference papers in the areas of neural networks, optimisation, data mining, and various applied mathematics topics. She has supervised 30 PhD students to completion, and has been awarded over AUD$20 million in competitive grants, including 13 Australian Research Council grants and industry awards. She was awarded a Georgina Sweet Australian Laureate Fellowship from the Australian Research Council (2014-2020), enabling her Instance Space Analysis methodology to be expanded into an online tool (MATILDA, Melbourne Algorithm Test Instance Library with Data Analytics).  

Kate was elected a Fellow of the Australian Academy of Science in 2022, a Fellow of the Institute of Engineers Australia (FIEAust) in 2006, and a Fellow of the Australian Mathematical Society (FAustMS) in 2008. Awards include: the Australian Mathematical Society Medal in 2010 for distinguished research; the EO Tuck Medal from ANZIAM in 2017 for outstanding research and distinguished service; the Ren Potts Medal for outstanding research in the theory and practice of operations research from the Australian Society for Operations Research (ASOR) in 2019; and the Monash University Vice-Chancellor’s Award for Excellence in Postgraduate Supervision in 2012.  

In addition to her academic activities, she also regularly act as a consultant to industry in the areas of optimisation, data mining, and intelligent systems. She is also actively involved in mentoring, particularly with the aim of encouraging greater female participation in mathematics, and she chairs the Advisory Board for the AMSI Choose Maths program.

Claudia D'Ambrosio is a research director (Directeure de recherche) at CNRS (France) and an adjunct professor at École Polytechnique (France). She is the head of the International Academic and Research Chair "Integrated Urban Mobility". She holds a Computer Science Engineering Master Degree and a Ph.D. in Operations Research from University of Bologna (Italy). Her research speciality is mathematical optimization, with a special focus on mixed integer nonlinear programming. During her whole carrier, she was involved both in theoretical and applied research projects. She was awarded the EURO Doctoral Dissertation Award for her Ph.D. thesis on "Application-oriented Mixed Integer Non-Linear Programming" and the 2nd award "Prix Robert Faure" (3 candidates are awarded every 3 years) granted by ROADEF society. Claudia published many papers in highly prestigious journals such as the SIAM Journal on Optimization, Mathematical Programming, Transportation Science, to name a few. She also serves as Associate Editor for the EURO Journal and Computational Optimization, Optimization Methods and Software, Optimization and Engineering and 4OR.

Martin Schmidt is full professor for "Nonlinear Optimization" at Trier University since 2019. He studied Mathematics and Computer Science at the Leibniz Universität Hannover and received his PhD in 2013 in the area of algorithmic optimization. From 2014 to 2018 he was junior professor for the optimization of energy systems at the Friedrich-Alexander-Universität Erlangen-Nürnberg and the Energy Campus Nürnberg. His research interests are mixed-integer nonlinear and bilevel optimization as well as general equilibrium problems. He develops novel algorithms for solving these problems for real-world and large-scale instances, mainly from the energy sector. Martin Schmidt is editorial board member of the Journal of Optimization Theory and Applications, Optimization Letters, EURO Journal on Computational Optimization, OR Spectrum, and is technical editor for Mathematical Programming Computation. He wrote more than 85 articles that have been published in prestigious journals of our field including Mathematical Programming (A, B, and C), SIAM Journal on Optimization, Operations Research, or INFORMS Journal on Computing. Moreover, together with colleagues, he was awarded the Marguerite Frank Award for the best EJCO paper in 2021, the MMOR Best Paper Award 2021, and the Howard Rosenbrock Prize 2020 for the best paper published in the journal "Optimization and Engineering" in the year 2020, and the EURO Excellence in Practice Award in 2016. Besides these scientific aspects, he is a passionate baker and photographer.

Luce Brotcorne is a Senior research scientist (Directeur de Recherche) at INRIA (National Institute for Research in Digital Science and Technology). She is the leader of the INOCS research project team. INOCS works on the modeling and development of solution methods for optimization problems with complex structure. She has been working on the optimization of transportation systems for more than 25 years and in the energy domain for more than 10 years. Her interests include the study of bi-level pricing problems, equilibrium problems and stochastic optimization. More precisely she has a strong experience in modeling and solving optimization problems representing hierarchical decision processes. These problems involve two types of decision markers: a leader and a follower. The leader explicitly integrates the reaction of the follower into his decision making process. This paradigm leading to bilevel optimization problems, is well suited to model and solve incentive design problem like pricing problems. In this case the leader is the agent defining the prices taking into account into the model the reaction of the consumers. Luce Brotcorne has developed efficient solution methods to solve large instances of pricing problems in the context of revenue management or demand side management. Several papers have been published in the energy or transportation field. She is co-author of more than 25 scientific papers or book chapters and has given more than 70 presentations in national and international conferences. She is the Vice President of the EURO-Working Group in Pricing and Revenue Management.  She is an associate editor for the International Transactions in Operational Research (ITOR). She has supervised more than 15 PhD students and Post-docs. She has been, and still is, involved in industrial projects in the field of transportation and energy including the FUI LUMD project on urban logistics, the PGMO project - conducted with EDF (R&D) - on tariff determination in the framework of "Demand Side Management in energy" and “electric cars charging station design and pricing”. She has been the leader of 2 ANR (French Reserch Agency) projects on the design of freight transport systems with a hub structure and on the design of co-modal transport chains. The industrial partner of these two projects was DHL. She has been and is involved bilateral contracts with companies like Colisweb or Urban hub to develop new tools for city logistics.

Mario Veiga Pereira has BSc and MSc degrees in systems engineering and a DSc in Operations Research. He worked at Cepel, Brazil’s Energy Research Center, and EPRI – Electric Power Research Institute, in Palo Alto, before founding PSR, a provider of stochastic optimization tools and consulting in energy with clients in more than 70 countries. He developed the stochastic dual dynamic programming algorithm, SDDP, and other well-known methodologies used in planning and reliability evaluation. He was a main advisor of two Brazilian governments on the management of the country’s energy supply crisis and on the design of generation contracting auctions, which resulted in 80 thousand MW of new capacity, with US$ 550 billion in contracts. Mario is an IEEE Fellow and an elected member of the US National Academy of Engineering, Brazilian Academy of Sciences and Brazilian Academy of Engineering. He was a professor at PUC-Rio and a visiting professor at the IIT, in Spain; co-authored 300 papers and four books on optimization and energy, and co-supervised thirty MSc and DSc thesis. Mario received a Finalist Franz Edelman Award for his work on stochastic hydrothermal scheduling, the National Scientific Merit Medal for his research contributions and the Presidential Rio Branco Medal for his work during the energy crisis.

Shylaja Subramanian is a retired professor of Chemistry from the Universidade Federal da Paraíba (UFPB) in João Pessoa, Brazil. She received here undergraduate degree in Chemistry from the University of Madras in 1963 and her masters degree from the same university in 1965. She moved to Brazil in 1973, and in 1975 she joined the department of  chemistry at UFPB, where she taught many courses. She was also involved in the very first research project of that department. In 1996, she obtained here PhD degree in physical chemistry with distinction from the Univesidade de São Paulo (USP) three years before her retirement.

Elise del Rosario is currently Chief Finance Officer of her family’s One Small Step Forward Foundation which aims to equip elementary public-school children with after school training in mathematics. The first Asian and first woman IFORS Fellow, she served from  2007 to 2009 as the first woman and second Asian President of the International Federation of Operational Research Societies (IFORS). Prior to this, she was IFORS Vice President-at-large (2001-2003) and Association of Asia Pacific OR Societies President (2005-2007). She started getting involved with IFORS as head of its Developing Countries Committee and has organized conferences on this area in Manila, Tunisia, Catalonia Spain, Rome, India, Brazil, Scotland, UK, Mexico, Sri Lanka, Poland, Canada, Madrid Spain, and online!  As IFORS President, she was passionate about communication with and among members and thus saw to the development of the IFORS website and newsletter. She served as editor of the IFORS News from 2010 until 2017. Elise was an OR analyst at the San Miguel Corporation (SMC). Later, with her as its Manager, the OR Department of SMC garnered the 1992 Operations Research Society of America (ORSA) Prize for outstanding and ongoing use of Operations Research in organizational decision-making. It was during her SMC years in 1987 that she spearheaded the formation of the Operations Research Society of the Philippines (ORSP) which was later accepted into IFORS.  Upon retirement from the San Miguel Corporation as Vice President, Elise went into consulting, a major part of which  was spent on pro-bono work with the Philippine government, in her capacity as Chairperson of the Operations Research Society of the Philippines Committee on OR for Public Service (ORSP Corps). An active OR practitioner, she maintains links with the academe - keynoting national   conferences, as well as publishing papers, acting as referee, and serving in the editorial boards of several international OR journals. She obtained her undergraduate degree in Industrial Engineering and Operations Research from the University of the Philippines, graduate degree in Industrial Engineering and Management from the Asian Institute of Technology in Bangkok and was an International Research Fellow at the Stanford Research Institute in California. She taught at the Graduate School of Engineering at the University of the Philippines and did financial analysis work.

Adam Letchford is Professor of Operational Research in the Department of Management Science at Lancaster University, United Kingdom. He has published over 85 articles in leading journals, and over 15 book chapters. He has served on the editorial boards of seven international journals, including Mathematical Programming, Mathematical Programming Computation, and Operations Research. In 2006, he received an IBM Faculty Award and was made an EPSRC Advanced Research Fellow. In 2009, he was made a Fellow of the OR Society. From 2008 to 2013, he co-ordinated the optimisation cluster of the LANCS Initiative. In 2013, he led a research programme on optimisation at the Isaac Newton Institute, Cambridge. From 2011-2018, he was director of NATCOR, the national doctoral training centre in OR. From 2017-2022, he was a member of the REF Subpanel on Mathematical Sciences. He is also a member of the EPSRC and URKI Future Leaders Peer Review Colleges. His research interest is in optimisation, including theory, algorithms, and applications. He concentrates mainly on integer programming and combinatorial optimisation, but also has some interest in global optimisation. He tends to work on exact methods rather than heuristics. He is interested in applications of optimisation not only in OR, but also in statistics, computer science, engineering and the physical sciences. He is known especially for his work on cutting planes and their application to vehicle routing and facility location problems.

Martine Labbé is honorary professor at the Université Libre de Bruxelles (ULB). Until  2019 she was professor of Operations Research at the Computer Science Department of the Faculty of Sciences. Her main research area is discrete optimization, including graph theory and integer programming problems and with a particular emphasis on location and network design problems. She is also specialized in bilevel optimization and studies pricing problems and Stackelberg games. She serves or has served on the editorial boards of Discrete Optimization,  International Transactions in Operational Research, Journal on Combinatorial Optimization, Journal of Optimization Theory and Applications, Operations Research, Operations Research Letters and Transportation Science. She was the Editor in Chief of the EURO Journal on Computational Optimization from 2012 to 2020. She is the author or coauthor more than 140 papers published in international journals. In 2007-2008, she was president of EURO, the Association of European Operational Research Societies. She was, in 2014 and 2015, Vice-Chair of the SIAM Activity Group on Optimization (SIAG/OPT). In  2019 she was awarded the EURO Gold Medal.

Andrea Lodi is an Andrew H. and Ann R. Tisch Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion. He is a member of the Operations Research and Information Engineering field at Cornell University. He received his PhD in System Engineering from the University of Bologna in 2000 and he was a Herman Goldstine Fellow at the IBM Mathematical Sciences Department, NY in 2005–2006. He was a full professor of Operations Research at DEI, the University of Bologna between 2007 and 2015. Between 2015 and 2022, he has been the Canada Excellence Research Chair in “Data Science for Real-time Decision Making” at Polytechnique Montréal. His main research interests are in Mixed-Integer Linear and Nonlinear Programming and Data Science, having a significant publication record in the most prestigious journals and conferences of those fields. Andrea Lodi's work has received several recognitions including the IBM and Google faculty awards. Andrea is the recipient of the INFORMS Optimization Society 2021 Farkas Prize. He serves in leading editorial positions, most notably, he is a co-Editor for Mathematical Programming and an Area Editor for INFORMS Journal on Computing. He has been the network coordinator and principal investigator of two large EU projects/networks, and, in the period 2006-2021, consultant of the IBM CPLEX research and development team. Andrea Lodi is the co-principal investigator of the project “Data Serving Canadians: Deep Learning and Optimization for the Knowledge Revolution,” 2017-2022, and the scientific co-director of IVADO, the Montréal Institute for Data Valorization.

Andrés Weintraub holds a degree in Electrical Engineering from the University of Chile a Masters in Statistics and a Ph.D. in Industrial Engineering and Operations Research from the University of California, Berkeley. He is a Professor at the Department of Industrial Engineering, University of Chile. His main research areas are Operations Research, Operations Management in forestry and mining, logistics and transportation. His latest research has been in decision making related to fuel management and forest fires.

He has published over 90 papers in recognized journals, including Operations Research, Management Science, Forest Science, the European Journal of Operations Research.  His Scopus H is 44.  He has also edited several books and journal issues on topics related to Operations Research in forestry and mining.  He has carried out multiple projects with industry and governmental organizations, including  the US Forest Service and forest firms in Chile in models related to long range planning, short term harvesting and transportation, CODELCO, one of the largest copper firms in the world in models related to long range copper extraction, CSAV, a top 10 worldwide shipping company, housed in Chile, to improve the management of their 500.000 container business, the Chilean Ministry of Education, on determining best locations of rural schools, the Chilean Salmon industry in developing models to plan the salmon production chain and short term transportation,  and the Chilean Football Association in scheduling the football season since 2005. The work with Chilean forest firms won the Edelman Prize, the most prestigious award for applied Operations Research, awarded by INFORMS, the US Society for Operations Research and Management Sciences. The work with CSAV was an Edelman finalist in 2011 and the football scheduling was a finalist in 2016.

He has grants as principal investigator by Fondecyt, (the individual Research Program from the Chilean National Research Agency) since 1982 when the program was started, except for one year. Papers he has co-authored have been chosen as best of the years 2013, 2014, 2015 by the Energy and Natural Resources Group of INFORMS. 

He has received many recognitions which include: The Chilean National Prize for Applied Science in 2000, the Harold Larnder Prize given by the Canadian OR Society, the INFORMS Presidential Prize, the Gold Medal from the Chilean Institute of Engineering, its highest recognition.  He was awarded a Doctor Honoris Causa from the University of Agricultural Sciences of Sweden, and the University of Laval, Canada. He is a member of the US National Academy of Engineering, and the Chilean National Academies of Science and of Engineering and is an INFORMS Fellow. He was a founder and former President of ALIO, the Latin American Association of OR, and President of IFORS, the International Federation of Operations Research Societies, which includes over 50 country members, for the years 1998 to 2000. He led from 2007 to 2018 the Institute for Complex Engineering Systems, which is currently funded yearly with 3 million dollars, and involves 50 researchers and a staff of 15 people. The Institute covers areas such as Operations Research, Data Science, Industrial Organization and Consumer Analytics. The Institute is strong in developing projects with industry and the government which are original and have impact. 

Vašek Chvátal was born in Prague and received his undergraduate degree in mathematics in the same city. He left Czechoslovakia in August 1968, three days after its Soviet-led invasion. Having earned his Ph.D. in mathematics from the University of Waterloo in the fall of 1970, he taught mathematics, computer science, and operations research at McGill, Stanford, Université de Montréal, and Rutgers. From 2004 till his retirement in 2014, he held a Canada Research Chair, first in Combinatorial Optimization and then in Discrete Mathematics, at Concordia University in Montreal. His research agenda has ranged from graph theory and combinatorics to linear programming and cutting planes to analysis of algorithms to the traveling salesman problem. In 2015, he shared the John von Neumann Theory Prize 'for seminal and profound contributions to the theoretical foundations of optimization'  with Jean Bernard Lasserre. His most recent book, "The Discrete Mathematical Charms of Paul Erdős", was published last August by Cambridge University Press.

Warren B. Powell is Professor Emeritus at Princeton University, where he taught for 39 years, and is currently the Chief Analytics Officer at Optimal Dynamics. He is the founder and director of CASTLE Labs, which spans contributions to models and algorithms in stochastic optimization, with applications to energy systems, transportation, health, e-commerce, and the laboratory sciences (see www.castlelab.princeton.edu). He has pioneered the use of approximate dynamic programming for high-dimensional applications, and the knowledge gradient for active learning problems. His recent work has focused on developing a unified framework for sequential decision problems under uncertainty, spanning active learning to a wide range of dynamic resource allocation problems. He has authored books on Approximate Dynamic Programming and Optimal Learning, and he has a new book coming up entitled "Reinforcement Learning and Stochastic Optimization: A unified framework for sequential decisions". Dr. Powell is an INFORMS fellow and a recipient of numerous prizes including the prestigious Robert Herman Lifetime Achievement Award in Transportation Science.

Radhika Kulkarni retired as VP, Advanced Analytics R&D at SAS Institute Inc. where she was responsible for the world’s leading Analytics Software products portfolio. She holds a Ph.D. in Operations Research from Cornell University. Under her leadership, OR gained recognition as a key contributor to scalability and performance of algorithms in statistics, machine learning, forecasting, data mining, econometrics, etc. She serves on many academic advisory boards. Dr. Kulkarni is a Fellow of the Institute of Operations Research and Management Science (INFORMS) and a WORMS Award winner and is currently the President-Elect of INFORMS. In 2022, she will be the President of INFORMS.

Teodor Gabriel Crainic is Full Professor of Operations Research, Transportation, and Logistics, and holds the Chair on Intelligent Logistics and Transportation Systems Planning in the School of Management, Université du Québec à Montréal. He is also Adjunct Professor, Department of Computer Science and Operations Research, Université de Montréal, and senior scientist at CIRRELT, the Interuniversity Research Center for Enterprise Networks, Logistics and Transportation, where he is Director of the Intelligent Transportation Systems Laboratory. Professor Crainic is a member of the Royal Society of Canada – The Academies of Arts, Humanities and Sciences of Canada. He co-founded, in 1991, the TRISTAN - TRienial Symposium on Transportation Analysis and, in 2000, the Odysseus - International Workshop on Freight Transportation and Logistics series of international meetings. He contributes to several editorial boards. He was President of the Transportation Science and Logistics Society of INFORMS, Director of the Centre for Research on Transportation (currently CIRRELT), and received the 2006 Merit Award of the Canadian Operational Research Society. The research interests of Professor Crainic are in network, integer, and combinatorial optimization, meta-heuristics, and parallel computing applied to the planning and management of complex systems, particularly in transportation and logistics. Major contributions targeted the design, scheduling and management of consolidation-based carrier services, including uncertainty, resource and revenue management considerations, as well as routing and scheduling, Intelligent Transportation Systems, City Logistics, new business and organizational transportation and logistics models, regional planning of multimodal freight transportation systems, and combinatorial electronic markets. Professor Crainic published some 290 scientific papers and chapters, and has a h-index of 77 (Google Scholar). He co-edited the Network Design with Applications in Transportation and Logistics book published by Springer in 2021, as well as numerous special issues of major scientific journals. He supervised over 160 graduate students and postdoctoral fellows.