Maarten Kroesen is an Associate Professor in the Transport and Logistics group at Delft University of Technology's Faculty of Technology, Policy and Management. His research focuses on travel behavior analysis, sustainable transport, and quantitative methods. He earned his PhD cum laude in 2011 with work on aircraft noise annoyance and has since shifted to mobility patterns and policy analysis. Kroesen teaches courses on statistics, data analysis, and travel behavior research, and has received multiple awards including the Best Teacher of the Year (2016) and Henk Sol Award (2011). His work bridges behavioral theory with policy implications, emphasizing longitudinal panel data methods. Education: PhD (cum laude) in Transport Policy and Management (TU Delft, 2011), MSc in Systems Engineering (TU Delft) Research Interests: Travel behavior dynamics, sustainable mobility transitions, latent class models, accessibility disparities Awards: Over six major accolades, including best thesis and innovation awards Expertise: Policy advising on aviation, transport equity, and behavioral modeling Recent work explores emerging time-use patterns, zero-emission flight impacts, and bidirectional effects between accessibility and travel behavior. He actively contributes to Dutch policy discussions on aviation and transport infrastructure.
Prof. Iris F.A. Vis is a Professor of Industrial Engineering at the University of Groningen's Faculty of Economics and Business. She specializes in logistics and operations management, focusing on optimizing processes through quantitative and qualitative methods. Her work intersects logistics with sectors like healthcare, education, and energy. She leads major projects such as SMiLES (sustainable mobility-logistics integration) and designs logistics solutions for personalized learning systems in schools. She has advised over a dozen PhD students and collaborates with industry partners globally. Awards include Fellowship in the Netherlands Academy of Engineering. Education: M.Sc. Mathematics (Leiden University), PhD in Operations Management (Erasmus University Rotterdam) Roles: Captain of Science for Topsector Logistics, Member of multiple national advisory boards Research interests span sustainable transportation networks, port optimization, healthcare logistics, and educational logistics. Key projects include LNG supply chain design, offshore wind farm maintenance planning, and synchromodal transport networks. Over 45 peer-reviewed publications and 18 media engagements highlight her impactful contributions. Teaching includes courses on supply chain network design, technology-enabled innovation, and operations management at all academic levels. She advises on industrial partnerships and digital transformation initiatives in the Northern Netherlands region.
Remco M. Dijkman serves as Full Professor in Information Systems at Eindhoven University of Technology (TU/e), chairing the Information Systems group within the Industrial Engineering and Innovation Sciences school. He additionally holds a Full Professor position at EAISI High Tech Systems and acts as research director for high-tech supply chains at the European Supply Chain Forum—a network of over 50 multinational companies. His research centers on Business Process Management with emphasis on data-driven optimization of business processes. His academic background includes both PhD and Master's degrees in Computer Science from the University of Twente. Publications span Information Systems, Computers in Industry, and Transactions on Software Engineering and Methodology, with over 100 papers and service on the editorial board of Information Systems. He has held visiting positions at New York University, Hasso Plattner Institute, IBM Zurich Research Lab, Humboldt-University Berlin, and Queensland University of Technology. Dijkman's research interests focus on detecting, diagnosing, and predicting optimal execution scenarios in business processes, developing mathematical models for quantitative process analysis , and resource assignment optimization . These are primarily applied in transportation logistics and high-tech supply chains, where he investigates data-driven predictions for transport order assignment and supply chain planning. His work bridges artificial intelligence with practical business applications. Recent publications (2024-2025) reveal concentrated efforts in deep reinforcement learning for resource allocation, process pattern discovery, and software library development (GymPN, SimPN). Key trends include predictive process monitoring for healthcare applications, event data enrichment frameworks, and uncertainty handling in logistics planning—demonstrating strong interdisciplinary integration. Scientific recognition includes: Best Demo Award (2019) Best Reviewer Award (2016) Test of Time Award (2019) He has supervised 150 students, including Lotte Vugs who received the Dow Chemical Best OML Master Thesis Award in 2020. Grant leadership spans eight projects: NXTGEN Smart Industry (2023-2030), CollChain (2023-2029), CERTIF-AI (2020-2025), FENIX (2019-2023), and DynaPlex (2021-2024), focusing on digital twins, federated networks, and AI-driven supply chain solutions. Dijkman directs the Information Systems group at TU/e and leads the European Supply Chain Forum's high-tech supply chain research. His work integrates with semiconductor manufacturing and transportation logistics through collaborations with industry partners, while his 2023 invited talks at Technical University of Munich and Humboldt University Berlin highlight his international engagement.
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.
F. Liao is a researcher at Delft University of Technology in the Faculty of Technology, Policy and Management, specializing in the Transport and Logistics department. With a strong publication record through 2024, Liao focuses on sustainable urban mobility solutions, particularly electric vehicle systems and shared mobility infrastructure. Liao's research interests center on electric mobility systems, with particular expertise in electric vehicle adoption patterns, business models for sustainable transportation, and the impacts of shared mobility hubs on urban transport networks. The research combines quantitative modeling of travel behavior with policy analysis to understand how new mobility services can transform urban transportation systems. Analysis of Liao's recent publications reveals a consistent focus on electric mobility hubs (eHUBS), with research examining spatial transferability of mode choice models, mode substitution effects, and identification of early adopters. The work demonstrates methodological expertise in logit modeling and revealed preference analysis, with applications across multiple European cities including Amsterdam and Manchester. Liao has established productive research collaborations with scholars across transportation institutions, evidenced by co-authorship with researchers from various universities on multiple publications. The research has gained significant attention with citations across academic and policy domains.
Bo van der Rhee is a Professor of Operations Management at Nyenrode Business University , affiliated with the Faculty Research Center for Marketing & Supply Chain Management . He holds adjunct professor roles at the University of Utah and VinUni in Vietnam. His research focuses on New Product Development (NPD) , Supply Chain Optimization , and analytical modeling . He has published in top journals like European Journal of Operational Research and Production & Operations Management . Education: Master’s in Econometrics and Operational Research (Vrije Universiteit Amsterdam, 2003); PhD in Business (University of Utah, 2007). Teaching specialties include Operations Management, Supply Chain Management, and Statistics, with recognition through teaching awards from PTMSc, FTMSc, and EMBA programs. He led Nyenrode’s Educational Innovation taskforce and advanced digital testing. International collaborations include the University of Utah’s David Eccles School of Business, where he co-teaches. He has taught globally in Mexico, Finland, Germany, Vietnam, and the U.S. His work explores topics like IT infrastructure in NPD, safety inventory strategies, and market positioning of innovations. He serves as Nyenrode’s Director of Research and is an active reviewer for journals like Production and Operations Management . His research integrates quantitative methods with strategic business challenges.
Wittenborg University of Applied SciencesNetherlands
Ali Özdemir, PhD, is a Professor of Applied Sciences at Wittenborg University of Applied Sciences. He has held academic positions since 1996, including Full Professor since 2018 in Operations and Production Management, and Associate Professor in Turkey since 2012. His expertise spans Supply Chain Management, Operations Digitalization, and Business Resiliency. Education: PhD in Business Administration, Erciyes University MSc in Statistics, Gazi University BSc in Business Engineering, ITU Research & Teaching Focus: Dr. Özdemir’s research addresses Supply Chain Logistics, Disruptive Technologies in Business, and Quantitative Methods. He teaches Supply Chain Management, Statistics, Research Ethics, and Project Management. His work emphasizes Business Continuity, Quality Assurance, and Performance Measurement in dynamic operational environments. Awards & Grants: No specific awards or grants listed. Active in professional networks via LinkedIn and Research Profile. Advising & Collaboration: No documented advisees or lab affiliations mentioned. Engaged in industry partnerships through teaching and research domains.
Prof. dr. Kees Jan Roodbergen is a Professor of Quantitative Logistics at the University of Groningen and Director of the Center for Operational Excellence. He holds a MSc in Econometrics & Operations Research from the University of Groningen and a PhD from Erasmus University Rotterdam. His research focuses on E-commerce Logistics, Warehouse Optimization, Vehicle Routing, and Inventory Management, applying Operations Research techniques to practical challenges. He has led projects like PIONEER (2019), e-global (2017), and 'Towards Virtual Ports' (2015), securing external funding from TKI Dinalog, NWO, and Interreg IVB. He serves on the Scientific Advisory Council of the Global Cold Chain Foundation and has been involved in jury roles for e-commerce awards. His teaching spans courses on Value Chain Management, Facility Design, and Discrete Operations Research. Education: MSc from University of Groningen (Econometrics & OR), PhD from Erasmus University Rotterdam. Ancillary roles include editorial advisory boards for professional magazines and program boards for TRAIL Research School and Graduate Program Operations Management & Logistics. Research contributions emphasize practical applications, such as warehouse optimization methods integrated into management systems. Grants and Projects: Highlighted projects include PIONEER (TKI Dinalog), e-global (NWO), and collaborations with industry. His work addresses sustainable logistics, digital transformation, and operational efficiency. He has published in journals like Operations Research and Transportation Science.
Aleid Elizabeth Brouwer is an Assistant Professor in Economic Geography at the University of Groningen's Faculty of Spatial Sciences. Her research focuses on sustainable entrepreneurship, ageing in place, digital inclusion, and regional development. She employs mixed methods, with a preference for quantitative analysis using survey and panel data. Education: Ph.D. in Spatial Science (2005, University of Groningen) Her work addresses the wellbeing of entrepreneurs, housing strategies for older adults, and the role of digital engagement in local environments. Recent publications analyze regional inequalities, IT labor markets, and future scenarios for northern Netherlands. She supervises PhD students and contributes to educational committees, including the Research Master’s program. Awards include the Aletta Jacobs Research Fellow title. Brouwer also develops innovative teaching tools like the Virtual Fieldwork app. Scientific Awards: Aletta Jacobs Research Fellow
Victor van der Geest is an Associate Professor in Criminology at the Faculty of Law, Vrije Universiteit Amsterdam. He is affiliated with A-LAB and the Empirical and Normative Studies research program. His work focuses on life-course criminology, criminal careers, and the interplay between employment and criminal behavior. PhD in Criminology, VU Amsterdam (2011) MA in Developmental Psychology, Universiteit Leiden (2005) His research interests include the developmental trajectories of offenders, desistance from crime, white-collar and organized crime, and intergenerational patterns of vulnerable parenting. He employs quantitative methods such as trajectory modeling and fixed-effects analysis, and works extensively with population-level microdata. His recent publications focus on longitudinal patterns of organized crime offenders, cross-national comparisons of criminal careers, and the role of financial independence in desistance. These works reflect a strong emphasis on policy-relevant, empirically grounded criminological research. Junior societal impact award (2011) FSR Teaching Prize (2013) Victor has supervised four PhD theses and teaches advanced research methods and statistics in criminology. He leads major longitudinal projects such as the 17Up and IN-CARE studies, which investigate life outcomes of institutionalized youth and intergenerational adversity, respectively. His work bridges developmental psychology and criminology, contributing significantly to both theory and practice in criminal justice.
Marianne Peeters - Rutten is a Lecturer in the Department of Quantitative Economics at Maastricht University's School of Business and Economics. Her research focuses on Supply Chain Operations and Business Intelligence, emphasizing collaborative approaches over traditional optimization of individual entities. Key areas include inventory control, planning strategies, and the dynamics of supply chain collaboration. Her recent publications analyze drivers and resistors in supply chain collaboration, gain-sharing methods, and evaluation frameworks using evidence from the Dutch FMCG industry. These works contribute to operational efficiency and strategic partnership design in supply chain management. No scientific awards or grants are explicitly mentioned in the provided materials. She is affiliated with the QE Operations Research group within the Quantitative Economics program.
Rafael Escamilla Gonzalez Aragon is an Assistant Professor at the W.P. Carey School of Business, Arizona State University (ASU), with an affiliation to Tilburg University's Tilburg School of Economics and Management (TiSEM). He holds a PhD from Tilburg University and Kühne Logistics University, and a Master of Science from Université de Technologie de Troyes. His research focuses on retail supply chains in emerging markets, employing field experiments and econometric techniques to understand decision-making drivers in nanostore environments. He collaborates with industry partners to address financial and operational challenges faced by micro-businesses. Education: PhD (Tilburg/Kühne), MSc (France), BEng (Monterrey Tech) Key Expertise: Retail operations in emerging markets, supply chain financing, causal inference methods Teaching: Quantitative Risk Management, Logistics, Causal Inference (MIT), Supply Chain Fundamentals (ASU/Tilburg) His work explores innovations like order-based trade credit to enhance operational efficiency and affordability in nanostores. He has received recognition including first place in the 2022 INFORMS Behavioral Operations Management Best Working Paper Competition and authored widely cited papers in Production and Operations Management and Journal of Operations Management .
Prof. Dr. Irene Klugkist is a Professor of Methodology and Statistics at Utrecht University's Faculty of Social and Behavioural Sciences, serving as Vice Dean for the Social and Behavioral Sciences. Her research focuses on Bayesian statistics, circular data analysis, and informative hypotheses evaluation, with recent emphasis on Bayesian research synthesis methods for conceptual replications. She holds a PhD in Bayesian Analysis (2005) and has contributed to over 90 peer-reviewed publications. Klugkist's work bridges statistical methodology with applications in psychology, education, and health sciences, emphasizing reproducibility and transparent research practices through preregistration and open data advocacy. She leads the Methodology and Statistics department, guiding interdisciplinary research projects and graduate training. Research Interests: Bayesian inference methods, circular statistics, evidence synthesis, statistical modeling for behavioral and health sciences, and methodological innovations in hypothesis testing. Her work often addresses translational challenges, such as integrating qualitative and quantitative data in mixed methods reviews or applying expert priors in veterinary epidemiology. Recent Contributions: Her 2024 papers advance Bayesian alternatives to meta-analysis and explore student-program matching dynamics. Ongoing work includes developing circular statistical tools for behavioral measurements and improving Bayesian approaches to latent class models in diagnostic testing. Klugkist also advocates for transparent research practices through guidelines on preregistration and data sharing in psychopathology studies.
Dr. Karel H. van Donselaar is an Assistant Professor at Eindhoven University of Technology, affiliated with the Department of Operations Planning Accounting & Control within the Industrial Engineering & Innovation Sciences faculty. His research focuses on retail operations, particularly automated replenishment systems for perishable/non-perishable products, supply chain efficiency, and inventory management. He teaches courses on supply chain logistics, quantitative modeling, and stochastic operations management. Academically, he holds a PhD in business econometrics from Erasmus University, Rotterdam, and conducted research at Stanford University as a Fulbright grantee in 1998. His work has been published in journals like Management Science and European Journal of Operational Research. Key research contributions include optimizing retail inventory strategies, reducing out-of-stocks and outdating, and analyzing logistics networks using empirical data from Dutch retailers. He has also explored freight accessibility's impact on logistics employment in US counties. Received multiple teaching awards, including the Best Master Teacher award (2023) and Industria Education Awards (2016–2023). Project involvement: PorQSAT (Pork Quality and Safety Assessment Tools, 2020–2023). His advising work has supervised 229 research projects, reflecting his commitment to academic mentorship.
Prof. Jaap Boter is an Associate Professor at the Department of Marketing, School of Business and Economics, Vrije Universiteit Amsterdam. He holds the Royal Booksellers Association chair at the University of Amsterdam. With a background in Musicology (MA, Utrecht University), he transitioned to marketing research, focusing on geodemographics, retail innovation, and GIS applications. His work bridges cultural economics, logistics, and spatial data analysis. Education: MA in Musicology (Utrecht University), PhD in Marketing (VU Amsterdam). Research highlights include the Geomarketing Knowledge Center and studies on urban energy transitions, healthcare markets, and film distribution history. He teaches GeoMarketing and leads the MSc Marketing program. Key projects include 'Cross Chain Order Fulfillment' and 'Sustainable Netherlands via Digital Tools'. Awards include a 2008 Best Paper Award for cultural organization valuation research. Ancillary roles include board positions at EduGIS and the Royal Booksellers chair. Research spans energy policy, healthcare competition, and e-commerce logistics, with a focus on data-driven solutions. Datasets include energy labeling models and child energy plans. Collaborations emphasize interdisciplinary approaches to urban and cultural challenges.
