Prof. Ana Paula Cabral Seixas Costa
Ana Paula Cabral Seixas Costa is Professor at Federal University of Pernambuco. Leader of Center for Decision Systems and Information Development (CDSID) and member of Research Group on Decision Information Systems (GPSID). CNPq Productivity and Research Scholarship since 2006. Member of the Board of Directors of the National Association of Graduate Programs and Research in Production Engineering (ANPEPRO) for the period 2023/2024. She was Assistant Coordinator of Professional Engineering Programs III at CAPES from 2013-2017. She was Assistant Coordinator of Academic Programs of Engineering III at CAPES from 2018-2021. She was Coordinator of the Graduate Program in Production Engineering at UFPE from 2005-2007 and Vice Coordinator from 2008-2010. She was Coordinator of the Professional Master's Degree in Production Engineering at UFPE from 2008-2012. She was Head of the Production Engineering Department at UFPE for 6 terms from 2008-2021. She is currently Vice Head of the Production Engineering Department at UFPE. She is a member of the Coodination Board of the Euro Working Group on Decision Support Systems. She is a Member of the Editorial Board of the International Journal of Decision Support System Technology - IJDSST. Her main research interests are: Information Systems; Decision Support Systems; Multicriteria Methods; Group Decision and Negotiation; Business Process Management; Models and Maturity Assessment and Asset Management. She has articles published in reputable journals in the academic community, including EJOR, IJIM, IJPE, IJPM, RASS. She has several book chapters published in Springer's Lecture Notes collections. He has already coordinated projects funded by entities such as CAPES, CNPq and ANEEL, including a CAPES PROENGENHARIA, involving three federal universities in Brazil, an international cooperation project, CAPES WBI with the University of Brussels and R&D projects funded by ANEEL These publications and projects deal with topics related to research interests, with applications in different segments, including the Energy, Public Safety and Health sector.
Prof. Susana Mondschein
Susana Mondschein is an Industrial Civil Engineer and holds a master’s degree in engineering sciences from the University of Chile and a Ph.D. in Operations Research from the Massachusetts Institute of Technology (MIT). She is an associate professor at the Department of Industrial Engineering at the University of Chile and a researcher at the Institute of Complex Engineering Systems (ISCI) and at the Center for Cancer Control and Prevention (CECAN). She also taught at the Yale School of Management from 2001 to 2011 and at the Adolfo Ibáñez University from 2012 to 2020, where she served as the director of the Industrial Engineering program. She was appointed in 2022 by the President of Chile as one of the five advisors of the National Commission for Evaluation and Productivity (CNEP). She was the president of the Chilean Institute of Operations Research (ICHIO) from 2021 to 2023. Her area of specialization lies in applied stochastic models, with her main research focus being on Health Management and Epidemiology. In this latter area, she collaborates with multidisciplinary teams from the School of Medicine at the University of Chile, the Machine Learning in Health group at the MIT Abdul Latif Jameel Clinic (J-Clinic), the Instituto Nacional del Tórax, and the Institute of Nutrition and Food Technology of the University of Chile (INTA), among others. She has published her research in journals such as Management Science, Operations Research, Production and Operations Management, PlosOne, Scientific Reports, EJOR, ITORS, and Annals of Operations Research.
EURO Lecture, Prof. Dylan Jones
Dr. Dylan Jones is a Full Professor of Operational Research based in the School of Mathematics and Physics at the University of Portsmouth, UK, where he is the Founding Director of the Centre of Operational Research and Logistics (CORL). Prof Jones’s main topic of research is the use of analytical methodologies to model and solve problems with multiple conflicting objectives. He has published over 90 scientific articles on this topic and a keynote book on goal programming. He has worked on multiple European Union funded research projects, providing support to decision making stakeholders and policy makers in the fields of sustainable logistics and manufacturing, maritime and sea-border security, Arctic logistics, renewable energy supply chains and healthcare. His work has also been funded by the UK Engineering and Physical Sciences Research Council, Royal Society, Operational Research Society and Innovate UK. He is an associate editor of the Journal of the Operational Research Society (JORS).
Prof. Thibaut Vidal
Thibaut Vidal is SCALE-AI Chair in Data-Driven Supply Chains and a professor at the Department of Mathematics and Industrial Engineering of Polytechnique Montréal. His expertise focuses on combinatorial optimization, heuristic search, and interpretable machine learning, with applications to transportation and supply chain management, resource allocation, and information processing. He has authored over 50 scientific studies published in reputed international journals and conferences in operations research (OR) and machine learning (ML) and contributed to improving logistics operations in multiple companies through academic and consulting projects as well as the release of open-source code libraries giving access to state-of-the-art algorithms from his academic research. Among others, he has been the recipient of two best paper awards from the Transportation Science and Logistics section of INFORMS, as well as the Robert Faure prize from the French OR society. He currently serves as associate editor for the journal Transportation Science.