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Martijn Mes is a full professor of Transportation and Logistics Management and chair of the Industrial Engineering & Business Information Systems section at the University of Twente, Netherlands. He leads research and education initiatives that integrate AI, simulation and optimisation into logistics and supply-chain innovation. Education: Ph.D. in Operations Research, University of Twente – 2008 M.Sc. in Applied Mathematics, University of Twente – 2002 Post-doctoral researcher, Princeton University, Dept. of Operations Research & Financial Engineering Research focus: Mes develops quantitative models and AI techniques for strategic, tactical and operational logistics challenges. His work spans three application pillars: Emergency & humanitarian logistics – rapid relief distribution with trucks and UAVs Urban logistics – city distribution, self-organising systems and last-mile innovations Sustainable logistics – synchromodal transport, green ports and electric/autonomous fleets Methodologically he combines approximate dynamic programming, reinforcement learning, multi-agent simulation, discrete-event simulation and stochastic optimisation to create decision-support tools for industry and government. Publications trend: Recent articles (2025-2022) exhibit a strong emphasis on integrating reinforcement learning and stochastic optimisation into dynamic vehicle routing, drone-assisted delivery and post-disaster inventory allocation, signalling a shift towards data-driven, real-time logistic systems. Grants & projects: Mes has coordinated and participated in numerous national and European projects on sustainable logistics, urban distribution, port optimisation and healthcare logistics, frequently collaborating with industry partners and public bodies. Teaching & supervision: He coordinates and lectures in the BSc and MSc programmes Industrial Engineering & Management, offering courses on simulation, queueing theory, dynamic programming, Markov chains, transportation management and technology management. He has authored a widely used Plant Simulation tutorial and supervises PhD candidates working on AI-driven logistics, autonomous vehicles and digital twins.

• Transportation and Logistics Management
• Artificial Intelligence for Logistics
• Synchromodal Transport
• +11 more

B. Atasoy is an Associate Professor at Delft University of Technology's Transport & Mobility Institute, specializing in Mechanical Engineering with a focus on Transport Engineering and Logistics. His work integrates operations research, synchromodal transport planning, and sustainable logistics systems. He leads projects like ADAPT-OR (2024-2028) and PATH2ZERO (2023-2027), addressing adaptive transportation systems and zero-emission shipping. His research explores intermodal freight optimization, electric ground support equipment, and future mobility scenarios. He has received awards including the Swiss Operations Research Society prize (2014) and the 2024 Best Academic Paper Award. His recent work includes analyzing the Dutch mobility system's 2050 scenarios and developing learning-based frameworks for synchromodal transport planning. He collaborates with industry and academic partners on projects such as NOVIMOVE and TRiLOGy, advancing waterborne logistics and autonomous shipping. Research Interests: Transport Engineering, Operations Research, Synchromodal Transport, Freight Optimization, Sustainable Mobility, Electric Vehicle Transition, and Urban Logistics. His projects often involve interdisciplinary collaboration, combining data-driven modeling with real-world applications. Grants & Projects: ADAPT-OR (2024-2028), PATH2ZERO (2023-2027), TRiLOGy (2020-2025), NOVIMOVE (2020-2024). These focus on adaptive systems, zero-emission shipping, and waterway logistics. Awards: 5 notable prizes including the 2014 Swiss OR Society award and 2024 Best Paper for synchromodal planning research.

• Transport Engineering
• Operations Research
• Logistics Optimization
• +7 more

L.A. Tavasszy is a Professor at Delft University of Technology, affiliated with the Civil Engineering & Geosciences school and the Transport and Logistics department. Their work bridges transport systems , logistics optimization , and sustainable infrastructure development . Research Focus : Synchromodal transportation networks, maritime logistics, urban freight systems, and decarbonization of transport corridors. Key Collaborations : Active partnerships with TU Delft colleagues including Ron van Duin, Jafar Rezaei, and M.A. de Bok. Scientific Awards : Best Paper Award - Vervoerslogistieke Werkdagen (2018) Best Practice Ready Paper Award (2025) Best Research Paper Award (2021) Palgrave-MacMillan-Springer Best Paper Award (2021)

• Transportation Engineering
• Logistics and Supply Chain Management
• Maritime Logistics
• +5 more

Prof C.P.M. van Hoesel is a Professor of Operations Research at Maastricht University's School of Business and Economics, affiliated with the QE Operations research group within the Quantitative Economics department. His research focuses on optimization algorithms, logistics systems, transportation networks, and mathematical programming applications in operations research. Recent work addresses order picking optimization in warehouses, service network design under uncertainty, and routing problems using TSP extensions. Publications span topics from warehouse inventory routing to synchromodal transport pricing strategies, reflecting expertise in both theoretical and applied operations research. Collaborations include work with researchers like Christof Defryn and Faezeh Rajabighamchi on algorithmic solutions for complex logistical challenges. His methodologies combine exact mathematical models with heuristic approaches to solve real-world optimization problems. Key contributions include integer programming applications for disaster risk reduction (e.g., dike height optimization) and robust graph coloring algorithms. Research consistently bridges academic rigor with practical industry applications in logistics, transportation, and supply chain management.

• Operations Research
• Optimization Algorithms
• Logistics and Supply Chain Management
• +3 more

Rommert Dekker is a Professor of Econometrics (Operations Research and Informatics) at the Department of Econometrics, Erasmus School of Economics (ESE), Erasmus University Rotterdam, affiliated with ERIM since 1999. His research focuses on operations research, quantitative logistics, and IT applications in logistics systems. He leads industry-sponsored research on service logistics and co-founded the REVLOG network for reverse logistics. His work spans reverse logistics, inventory control, maintenance optimization, container logistics, and transport systems. He has held roles at Shell Research (1992-1999), publishing over 100 papers during that period. Research interests include service logistics, synchromodal transportation, spare parts management, and sustainable supply chains. He integrates quantitative methods with real-world applications, addressing challenges like container terminal optimization, wildfire risk modeling, and vaccine supply chain management. His recent work explores quantum computing applications in logistics and environmental regulations' impact on maritime networks. Awards: ERIM Impact Award (2025), OR Society Goodeeve Medal (2023) Research Initiatives: Business Intelligence, Data Analytics, Smart Port@Erasmus Grants & Partnerships: Industry-sponsored programs on service logistics, collaborations with maritime and energy sectors His publications emphasize practical impact, with over 170 articles in areas like supply chain resilience, maintenance policies, and green logistics. Current research includes real-time container yard allocation algorithms and AI-driven wildfire risk models.

• Operations Research
• Quantitative Logistics
• Supply Chain Management
• +7 more

Rob Zuidwijk is a Professor of Global Supply Chains and Ports at Rotterdam School of Management (RSM), Erasmus University Rotterdam. He holds the title of Fellow ERIM and serves as Captain of Science for the Topsector Logistics in the Netherlands. His research focuses on sustainable supply chains, synchromodal transport networks, and inter-organisational systems in logistics. He has coordinated numerous funded research projects and teaches courses on freight transport systems, international logistics, and global supply chain management at BSc, MSc, and PhD levels. Education: PhD in Mathematics from Erasmus University Rotterdam. Research Interests: Sustainable supply chain governance, synchromodal transport optimization, and logistics information systems. His work bridges operational research and practical applications in ports and global logistics networks. Publications: Over 40 academic articles in journals like Transportation Science , Production and Operations Management , and European Journal of Operational Research . Recent work addresses sustainable governance, data-driven logistics platforms, and truck platooning optimization. Awards: Fellow of the Erasmus Research Institute of Management (ERIM). Advising/Grants: Supervised 33+ PhD students and led projects on international logistics, container transport, and port-hinterland networks. Active in ERIM and Smartport initiatives. Labs/Teams: Co-founder of the Smartport research community, contributing to port-related logistics innovation.

• Logistics
• Supply Chain Management
• Sustainability
• +6 more

Nevin Mutlu is an Assistant Professor in the Operations Planning, Accounting & Control (OPAC) Group within the School of Industrial Engineering at Eindhoven University of Technology (TU/e). She is affiliated with multiple research centers including the Data Science Center Eindhoven (DSC/e), Efficient Consumer Response (ECR) Community, Retail Operations Lab, and Freight Transport & Logistics Research Group. Her industry partnerships include Nike and the ECR Community, demonstrating strong connections between her academic research and practical retail applications. Dr. Mutlu received her PhD and MSc degrees in Industrial and Systems Engineering from Virginia Tech, USA in 2016 and 2013, respectively. She also holds a BSc degree in Industrial Engineering and a BA degree in Economics from University at Buffalo, State University of New York, USA. Prior to joining TU/e in 2016, she served as a graduate teaching assistant and instructor at Virginia Tech, teaching courses in operations research and working with the Office of Emergency Management on real-world applications. Her research bridges optimization, economics, and marketing to address industry-relevant problems in retail operations and logistics. She specializes in modeling how operational decisions impact consumer behavior, with particular focus on retail pricing, experiential retail, e-commerce adoption, and transportation systems. Her interdisciplinary approach combines theoretical optimization techniques with practical business considerations, resulting in impactful research that addresses current challenges in retail and supply chain management. Analysis of her publications reveals a strong trajectory in operations research with increasing focus on consumer behavior dynamics. Her work spans theoretical optimization methods (resource allocation, production-routing problems) and applied retail contexts (experiential retail, dual-channel strategies). Recent publications show growing interest in sustainability aspects of retail operations and transportation, reflecting contemporary industry challenges. Her research consistently addresses the complex interplay between operational decisions and consumer responses, providing valuable insights for both academia and industry. EU Horizon 2020 Marie Curie Individual Fellowship (2018-2020) Dr. Mutlu actively contributes to research funding through projects like SYNERCIZE: SYnchromodal Transport NEtworks for a Construction Industry towards Zero Emissions (2025-2027), where she serves as a project member. Her teaching portfolio includes Supply Chain Management, Revenue Management and Pricing Analytics, and Project and Process Management courses. She has also served on committees such as the AI Planner of the Future program, demonstrating engagement with emerging technologies in her field. Her research is supported by multiple affiliations including the Data Science Center Eindhoven, ECR Community, and Retail Operations Lab, providing collaborative environments for interdisciplinary work. Her industry partnerships, particularly with Nike, facilitate the translation of academic research into practical retail solutions. The SYNERCIZE project demonstrates her expanding research scope into sustainable transportation networks for construction industries.

• Retail operations
• Revenue management
• Logistics
• +5 more

J.M.J. Schutten is an Associate Professor at the University of Twente , affiliated with the Faculty of Behavioural, Management and Social Sciences and the Industrial Engineering & Business Information Systems department. He also serves as the Programme Director for the Industrial Engineering and Management bachelor's and master's programmes. Education : MSc in Applied Mathematics (1992) PhD in Industrial Engineering (1996) Research Interests : Schutten focuses on planning and scheduling in transportation, project, and production environments. His work emphasizes synchromodal freight transportation , urban logistics , and crowd-based transportation . His expertise spans Computer Science (algorithms, heuristics, vehicle routing, dynamic programming models) and Social Sciences (time economics, econometrics, finance, and organizational cost analysis). Contact : m.schutten@utwente.nl | +31 53 489 4676

• Planning and Scheduling in Transportation
• Synchromodal Freight Transportation
• Urban Logistics
• +9 more