Plenary Speakers
ORCID: https://orcid.org/0000-0002-2932-4784
Lattes: http://lattes.cnpq.br/9665695510823023
Lattes: http://lattes.cnpq.br/9665695510823023
Ana Paula Cabral Seixas Costa is a Full Professor at the Federal University of Pernambuco. She is the Leader of the Center for Decision Systems and Information Development (CDSID) and a member of the Research Group on Decision Information Systems (GPSID). She is currently Head of the Management Engineering Department at UFPE. She has been a research fellowship Grantee for Productivity in Research from the Brazilian NRC (CNPq), since 2006. In 2016 and 2021, she received the Award for the Best Paper at the International Conference on Decision Support Systems Technology (ICDSST) in papers co-authored with her doctoral students. She also received, in 2019, as a co-author of the first paper related to the FITradeoff method, the Award for best Journal (EJOR) paper on Theory and Methodology from EURO (Association of European Operational Research Societies). She is a member of the Coordination Board of the Euro Working Group on Decision Support Systems (EWG-DSS); a 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 has served as Assistant Coordinator of Professional Engineering Programs III at CAPES from 2013-2017; Assistant Coordinator of Academic Programs of Engineering III at CAPES from 2018-2021; the Coordinator of the Graduate Program in Production Engineering at UFPE from 2005-2007; the Vice Coordinator from 2008-2010; Coordinator of the Professional master’s degree in Production Engineering at UFPE from 2008-2012; head of the Management Engineering Department at UFPE for 6 terms from 2008-2021. 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; Maturity Assessment Models and Asset Management. She has had articles published in reputable journals in the academic community, including in EJOR, IJIM, IJPE, IJPM, and RASS. She has had several book chapters published in Springer's Lecture Notes collections. She has coordinated projects funded by academic sponsors, 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 her research interests, with applications in different segments, including in the Energy, Public Safety and Health sectors.
ORCID: https://orcid.org/0000-0002-8476-0204
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.
ORCID: https://orcid.org/0000-0002-9101-746X
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).
ORCID: https://orcid.org/0000-0001-5183-8485
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.
ORCID: https://orcid.org/0000-0002-5477-6280
Dr. Tava Olsen is Professor of Melbourne Business School as their new Deputy Dean, Academic. Tava’s research interests include supply-chain management; pricing and inventory control; and stochastic modelling of manufacturing, service, agricultural, and healthcare systems. Tava is currently the Area Editor for Operations and Supply Chain at Operations Research and a senior editor of Production and Operations Management (POM). She has previously served as an Associate Editor for Management Science and Manufacturing and Services Operations Management (M&SOM), and was the Topical Editor for Supply-Chain Management for the Wiley Encyclopaedia of Operations Research and Management Science. She is a past president of the Manufacturing and Service Operations (MSOM) society and has thrice been awarded the Auckland Business School’s research excellence award. Among other journals, her publications have appeared in Management Science, Operations Research, M&SOM, and POM. Tava has been awarded over $3 million dollars of external funding over her career, including being a recipient of the prestigious NSF CAREER award and RSNZ Marsden grant.
ORCID: https://orcid.org/0000-0003-1053-5183
Roger Ríos is a Fulbright Visiting Scholar in the Graduate Program in Operations Research and Industrial Engineering at the University of Texas at Austin, and a Professor in the Graduate Program in Electrical Engineering at Universidad Autonoma de Nuevo Leon, Mexico. He has held Visiting Scholar positions at the University of Texas at Austin (OR/IE Program), Barcelona Tech (Department of Statistics and Operations Research), University of Colorado (Leeds School of Business), and University of Houston (High Performance Computing Center). He holds a PhD in OR/IE from the University of Texas at Austin. His research interests are mainly in designing and developing efficient solution methods to hard discrete optimization problems. In particular, during the past few years he has addressed applied decision-making problems on territory design systems, forestry management, healthcare management, optimization of natural gas transportation systems, and scheduling in manufacturing systems. His research has been published in leading journals in the field. He is an Area Editor of Computers & Operations Research and a member of the Editorial Board of Operations Research Perspectives. He is a Fellow of the Mexican System of Research Scientists, the Mexican Academy of Sciences, and the Mexican Academy of Computer Science. He is former President and a founding member of the Mexican Society of Operations Research. More about his work can be found at http://yalma.fime.uanl.mx/~roger/.