Find Academic Supervisors

• Supply Chain Management
• Transportation Systems
• Logistics
• +4 more

Dr. Jérôme Verny is an Associate Professor specializing in transport, logistics, and supply chain management. He is the founder and director of the research institute in innovative transport and logistics, as well as the co-founder of the DISC Master's program (Digital & Innovative Supply Chain) in Paris and the Mobility Accelerator. His expertise spans digitalization in logistics, blockchain applications, and sustainable development. Educated at the University of Lille Nord de France (PhD in Economics and Management) and engineering schools like École Nationale des Ponts et Chaussées, he advises both public institutions (OECD, EU) and private enterprises on transportation strategies. Research Interests: Dr. Verny focuses on supply chain innovation, digital transformation, and strategic logistics. His work integrates blockchain technology for supply chain transparency, optimizes last-mile delivery in urban environments, and analyzes the impact of geopolitical actors like China on global trade networks. He also explores sustainable practices in transportation, including CO2 reduction strategies and pandemic response logistics. Awards: Recipient of the 2009 OECD-FIT Young Researcher Prize in Transport. His contributions bridge academic research with practical applications in industry, policy, and international trade. Key Activities: Co-founded the DISC Master’s program and leads research initiatives on blockchain adoption, Arctic shipping routes, and Mediterranean trade dynamics. He actively contributes to conferences such as the International Association of Maritime Economists (IAME) and publishes in journals like Structural Change and Economic Dynamics and International Journal of Shipping and Transport Logistics . Labs/Teams: Directs the Institut de Recherche en Transport et Logistique Innovante and collaborates with institutions like the OECD and European Commission on transport policy. His interdisciplinary approach involves engineering, economics, and data science to address global supply chain challenges.

René M.B.M. de KosterView profile

Professor

• Logistics
• Operations Management
• Warehousing
• +7 more

René M.B.M. de Koster is a Full Professor of Logistics and Operations Management at the Rotterdam School of Management (RSM), Erasmus University, where he has been a faculty member since 1995. He holds a PhD from Eindhoven University of Technology (1988) and is a leading expert in warehousing, material handling, and sustainable logistics. PhD, Eindhoven University of Technology, 1988 Professor, RSM, Erasmus University, 1995–present Honorary Francqui Chair, Hasselt University, 2018 His research focuses on warehousing systems , robotics in logistics , container terminals , and behavioural operations . He integrates operations research with real-world logistics challenges, emphasizing sustainability and automation. His work contributes to UN Sustainable Development Goals related to responsible consumption and industry innovation. The most recent publications highlight a strong trend toward autonomous systems and AI-driven logistics , particularly in robotic fulfillment, dynamic routing, and human-robot collaboration. These works reflect interdisciplinary engagement with computer science, industrial engineering, and behavioural science. Notable scientific awards include: IISE Annual Conference Best Student Paper Award (2024) Transportation Science Paper of the Year (2023) EJOR Best Paper Award (2023) Best European Journal of Operational Research Review Paper (2022) Best Paper Finalist at major logistics conferences Professor de Koster has supervised over 30 students and is actively involved in editorial service for top journals such as Transportation Science , Production and Operations Management , and International Journal of Production Research . He is chairman of Stichting Logistica and founder of the Material Handling Forum, contributing significantly to both academic and industry advancement in logistics. He leads research in advanced logistics labs focusing on robotic sorting, mobile fulfillment, and sustainable supply chains, often in collaboration with European institutions and industry partners.

Guido PerboliView profile

Professor

• Operations Research
• Logistics
• Last-mile Delivery
• +9 more

Guido Perboli is a Full Professor in the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin, where he also serves as Logistics Coordinator and Project Coordinator for activities supporting relationships with government bodies. He is a member of the Interdepartmental Center CARS@PoliTO (Center for Automotive Research and Sustainable Mobility) and serves as Director of the ICT for City Logistics and Enterprises (ICElab@Polito) research center, which he founded in 2016. His research interests span a broad range of topics including Operations Research, Logistics, Last-mile Delivery, Sustainable Logistics, Combinatorial Optimization, Stochastic Programming, Business Development, and Lean Business methodologies. His work particularly focuses on City Logistics, Green Logistics, and the application of emerging technologies like Blockchain and AI in supply chain management. He has developed GUEST, a Lean Business methodology for innovation processes from early idea definition to implementation. Professor Perboli's recent publications demonstrate a strong focus on urban logistics, last-mile delivery optimization, blockchain applications in supply chains, and the integration of AI techniques in transportation systems. His work shows an increasing trend toward interdisciplinary research that combines optimization methods with emerging technologies to address sustainable urban mobility challenges. Professional Recognition: CASE Best Paper award from IEEE Conference on Automation Science and Engineering (2011) Effective member of INFORMS (2019-present) Effective member of EURO (1995-present) Effective member of AIRO (1995-present) Associate Editor for Journal of Applied Research and Technology (2020-present) Associate Editor for Sustainability (2018-present) Professor Perboli actively advises PhD students and has supervised numerous research projects, including EU-funded initiatives like SINFONICA, HESTER, and 5G-LOGINNOV. He serves as Scientific Director for multiple commercial research projects focused on blockchain, IoT, and AI applications in logistics. Beyond academia, he is Chief Scientific Officer of Arisk S.p.A., a fintech company specializing in business crisis prediction using AI and machine learning. His research group, ICElab@Polito, focuses on two main areas supporting urban growth: logistics and enterprises. The center collaborates with numerous companies including Amazon, DHL, and FCA, addressing real-world challenges in urban logistics and supply chain management through innovative research approaches.

Frank MeiselView profile

Professor

• Supply Chain Management
• Logistics
• Operations Research
• +4 more

Prof. Dr. Frank Meisel holds the Chair for Supply Chain Management at the Christian-Albrechts-University of Kiel, within the Faculty of Law, Economics and Business. His research focuses on mathematical modeling and quantitative solution methods for the design and operation of production, distribution, and service networks. 1998-2003: Studied Traffic Engineering at the Technical University of Dresden 2008: Received Dr. rer. pol. with thesis "Seaside Operations Planning in Container Terminals" 2014: Completed Habilitation in Business Economics with thesis "Papers on the Design and Operations of Production-, Distribution- and Service-Networks" Since 2013: Professor of Supply Chain Management at Kiel University Prof. Meisel's research spans multiple areas of logistics and operations research. His primary interests include maritime logistics, particularly container terminal operations; vehicle routing problems with synchronization requirements; and integrated planning of production-distribution networks. He develops mathematical models and optimization algorithms to address complex logistical challenges in various industry contexts, from seaport operations to healthcare logistics and urban waste management. His work bridges theoretical operations research with practical logistics applications across diverse sectors. His publication record demonstrates a progression from specialized maritime logistics problems to broader supply chain applications. Recent work shows increasing focus on sustainability considerations and the integration of multiple operational decisions across different parts of supply networks. His research has significant practical implications for container terminal operations, intermodal transportation, and service logistics. Prof. Meisel actively contributes to the academic community through conference presentations at major events including EURO, IFORS, and specialized workshops on maritime logistics. His work appears in top-tier journals such as Transportation Science, European Journal of Operational Research, and Computers & Operations Research. He teaches courses including Supply Chain Management, Production and Logistics, and Operations Management at both undergraduate and graduate levels. His educational contributions include developing curriculum for English-language business programs and supervising student research projects in logistics optimization.

Eduardo Lalla-RuizView profile

Associate Professor

• Logistics
• Operations Research
• Mathematical Programming
• +4 more

Eduardo Lalla-Ruiz is an Associate Professor in Logistics and Operations Research at the Department of High Tech Business and Entrepreneurship (HBE) at the University of Twente, Netherlands. He serves as educational director for the Industrial Engineering and Management (IEM) bachelor and master programmes. His academic journey includes degrees from the University of La Laguna (Spain): BSc in Industrial Engineering, MSc in Industrial Automation Engineering, MSc in Computer Science & AI, and a PhD with extraordinary distinction. Previously, he worked as a researcher and lecturer at the University of Hamburg’s Institute of Information Systems, where he became an Alexander von Humboldt Foundation Fellow. His research focuses on logistics optimization, mathematical programming, AI applications, and metaheuristics for scheduling and allocation problems. He has published widely, reviewed for journals, and organized academic sessions globally. Awards include his doctoral distinction and Humboldt Fellowship. He actively contributes to interdisciplinary projects at the Digital Society Institute. No specific labs/teams are explicitly mentioned in the provided text.

• Supply Chain Management
• Modeling and Optimization
• Production and Service Systems Management
• +3 more

Prof. Şule Itır Satoğlu is a faculty member in the Department of Industrial Engineering at Istanbul Technical University, holding the rank of Professor since 2019. She has held multiple administrative roles, including Head of Department (2025–present), Vice Rector (2020–2024), and Vice Dean (2018–2020). Her research focuses on supply chain management, optimization, sustainable operations, and disaster response systems. She has a PhD in Industrial Engineering from Istanbul Technical University (2008), an MSc in Engineering Management (2002), and a BSc in Mechanical Engineering (2000). Her work emphasizes practical applications of optimization techniques in logistics, healthcare, and disaster management. Notable contributions include developing models for blood supply chains under uncertainty, UAV-based waste detection, and sustainable urban transport fleet electrification. She has collaborated on projects funded by public and private sectors, addressing issues like lean manufacturing integration with Industry 4.0 and RFID-enabled maintenance systems. Her publications span over two decades, with recent focus on multi-objective optimization in humanitarian logistics, smart waste collection systems, and energy-efficient drone surveillance. She is a member of the TMMOB Chamber of Mechanical Engineers and actively contributes to national technology initiatives through academic leadership roles.

Emanuele CrisostomiView profile

Associate Professor

• Smart Grids
• Electric Vehicles
• Control Systems
• +2 more

Emanuele Crisostomi is Associate Professor of Electrical Systems at the University of Pisa's Department of Energy, Systems, Territory and Constructions Engineering. He holds PhD and graduate degrees in Automation Engineering from the University of Pisa, with research visits to University of Cambridge, University of Leicester, and Hamilton Institute. His research bridges control theory, energy systems, and smart mobility. His research integrates: Smart grid control and renewable energy integration Electric vehicle charging infrastructure and routing algorithms Urban traffic modeling and optimization Nonlinear system dynamics and Lyapunov stabilization Machine learning applications in energy systems Crisostomi's publications demonstrate consistent innovation in electric vehicle-grid integration, with recent focus on predictive charging control, highway EV circulation patterns, and hydropower monitoring. His work shows increasing application of deep reinforcement learning for multi-regional power systems and hybrid network models for infrastructure monitoring. He leads research on IoT-enabled energy efficiency in buildings and contributes to epidemic modeling through network science. Current projects examine battery sizing optimization, charging station scheduling under uncertainty, and synergetic building management systems integrating environmental monitoring with energy conservation.

Masoud ShahmanzariView profile

Senior Lecturer

• Operations Management
• Mathematical Programming
• Metaheuristics
• +9 more

Dr. Masoud Shahmanzari is a Senior Lecturer in Operations and Information Systems Management at Brunel Business School, Brunel University London, where he also serves as Programme Lead for the MSc Business Intelligence and Digital Marketing. He holds a Ph.D. in Operations Management and Information Systems from Koç University (2019) and is actively engaged in research, teaching, and academic leadership. Research Interests: Operations Management Mathematical Programming and Optimization Metaheuristics and Matheuristics Business Analytics and Big Data Machine Learning Algorithms Data-Driven Decision Making in Logistics, Healthcare, and Energy Markets His recent publications focus on applying advanced optimization and analytics to real-world challenges such as election logistics, pandemic response modeling, and transportation planning. The articles demonstrate a strong trend toward integrating learning-based heuristics with operational decision-making in dynamic, high-stakes environments. Scientific Recognition: Editorial Board Member, Journal of Business Analytics Peer reviewer for leading journals including Production and Operations Management , European Journal of Operational Research , and Transportation Research Part E Advising and Grants: Dr. Shahmanzari supervises PhD research in data-driven techniques applied to real-world problems. He secured a research grant from the Economic & Social Research Council for a project on computational analytics of cyber-bullying behavior in online communities (Feb 2022 – July 2023). Labs and Teams: His research is aligned with the Innovation and Sustainability research group at Brunel Business School, focusing on sustainable and intelligent business systems.

Martijn R.K. MesView profile

Professor

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

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.

Tom van WoenselView profile

Professor

• Freight Transport
• Logistics
• Operations Research
• +5 more

Tom van Woensel is a Full Professor of Freight Transport and Logistics at Eindhoven University of Technology (Netherlands), affiliated with the School of Industrial Engineering and Innovation Sciences and the Department of Operations Planning Accounting & Control. He also holds roles as Academic Director of the Global Supply Chain Management program at Antwerp Management School and Director of the European Supply Chain Forum. His research focuses on freight transport, logistics systems, and operations research methodologies, with contributions to over 150 peer-reviewed publications in journals like Transportation Science and European Journal of Operational Research . Education: BSc/MSc in Applied Economic Sciences (Econometrics), University of Antwerp (Belgium) PhD: Queueing Theoretical Approaches for Traffic Flow Networks, University of Antwerp Research Interests: Optimization of transport and logistics networks using integer programming, metaheuristics, and reinforcement learning Urban freight systems, last-mile delivery, and sustainable logistics Supply chain resilience, collaboration in logistics networks, and industry-academia partnerships Applications of AI in solving stochastic transportation problems Awards and Recognition: Outstanding Professor in Supply Chain & Logistics (2021) European Journal of Operational Research Best Review Paper (2016) INFORMS Senior Member (2024) Collaborations and Projects: Leads initiatives like SYNERCIZE (zero-emission construction logistics) and Circulaire stromen (circular logistics) Editorial roles at Transportation Science , OR Spectrum , and Urban Science Active in industry partnerships through the European Supply Chain Forum (75+ multinationals) Labs/Teams: EAISI Mobility (Eindhoven AI Systems Institute) CIRRELT (Montreal, Canada) collaborating member

• Operational Research
• Computational Optimization
• Transportation Logistics
• +3 more

Emmanouil Zachariadis serves as an Associate Professor at the Department of Management Science and Technology (DMST) within the School of Business at Athens University of Economics and Business (AUEB). He specializes in operational research and computational optimization, focusing on transportation logistics, supply chain systems, and environmental impact minimization. Education : BSc in Chemical Engineering from National Technical University of Athens (NTUA) MSc in Computing Science from Imperial College London PhD in Chemical Engineering from NTUA His research integrates mathematical programming with optimization algorithms for operational challenges in transportation and production systems. He has published 26 articles in top-tier journals, accumulating over 1200 Scopus citations by June 2024. Recent scholarly trends emphasize vehicle routing problems with complex constraints (cross-docking, loading, time windows) and optimization methods for logistics sustainability. His work spans production-routing integration, emergency evacuation planning (EVITA project), and hybrid metaheuristics. Scientific Awards : Teaching excellence award for undergraduate course 'Optimization Methods in Management Science', Dept. of Management Science & Technology AUEB (2021-22) Teaching excellence awards for postgraduate course 'Large Scale Optimization', MSc in Business Analytics AUEB (2020-21, 2021-22, 2022-23) He has participated in European and National research projects, applying his expertise in supply chain optimization and sustainability. His teaching portfolio covers quantitative methods, operational research, and supply chain optimization at both undergraduate and postgraduate levels.

Jiabin LuoView profile

Senior Lecturer

• Transportation and Logistics
• Maritime Shipping and Port Operations
• Production Planning and Inventory Management
• +5 more

Dr. Jiabin Luo is a Senior Lecturer in Business Analytics at Aston University's Aston Business School, within the College of Business and Social Sciences. She holds a PhD in Management Science from the University of Southampton and has held academic and research roles at institutions including Coventry University and De Montfort University. Her research focuses on optimization and decision-making in logistics, supply chain management, maritime shipping, and production planning. She is Programme Co-Director of the MSc Degree Apprenticeship in Digital & Technology Solutions Specialist. Education: PhD in Management Science, University of Southampton, UK MSc in Risk and Stochastics, London School of Economics and Political Science, UK MSc in Statistics, University of Nottingham, UK BSc in Mathematics, Zhongshan University, China PGCert in Learning and Teaching in Higher Education Research Interests: Transportation and logistics optimization Maritime shipping and port operations Production planning and inventory management Supply chain management and sustainability Fuzzy optimization and scenario-based modeling Recent Research Trends: Her work emphasizes optimization techniques in logistics systems, including automated container terminals, intermodal transport, and risk management. Recent articles explore machine learning for credit risk prediction and geospatial analysis of traffic datasets. Awards and Memberships: Fellow of The Higher Education Academy Member of The Operational Research Society Member of British Academy of Management Grants and Collaborations: Newton Researcher Links: Strategy & Policy Innovation in Supply Chain Management (2018) Newton Researcher Links: Emission Control in Green Port Development (2017) EPSRC Grant: Resilience of Manufacturing Supply Networks (2013–2016)

Laurens BliekView profile

Assistant Professor

• Artificial Intelligence
• Optimization
• Sustainable Logistics
• +5 more

Laurens Bliek is an Assistant Professor at the Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology (TU/e). He specializes in combining artificial intelligence (AI) with optimization techniques for computationally intensive problems, focusing on sustainable applications such as public transport, electric vehicles, and CO 2 reduction. Education: MSc in Applied Mathematics (2014), PhD in Systems & Control (2019) from Delft University of Technology. Prior Role: Postdoctoral researcher at the Algorithmics group, Delft University of Technology. Research Interests: His work addresses AI-driven optimization of expensive cost functions, particularly in logistics, communications, and healthcare. He develops methods to handle computationally intensive simulators and digital twins, emphasizing real-time decision-making and sustainability. Recent Publications: His research spans predictive maintenance using Fourier graph neural networks, real-time container yard allocation, and 5G network optimization. Articles appear in journals like IEEE Transactions on Neural Networks and Learning Systems and Computer Networks . Collaborations: Laurens collaborates with industry partners (LioniX, Dutch Railways) and organizations (European Supply Chain Forum, Logistics Community Brabant). He co-leads the 12-PhD program AI Planner of the Future and participates in AI sustainability working groups. Supervision: Co-promotor of PhD students Ya Song and Abdo Abouelrous, focusing on AI applications in routing and maintenance logistics.

• Artificial Intelligence
• Smart and Service Industry
• Mobility and Transport
• +5 more

Marco Schutten is an Associate Professor at the Digital Society Institute of the University of Twente, affiliated with the Industrial Engineering & Business Information Systems department. His work bridges Artificial Intelligence , Transportation , and Operations Research , focusing on optimizing complex systems. Expert in Urban Logistics and Freight Transport Specializes in Mathematical Programming and Optimization Research interests include Vehicle Routing , Machine Scheduling , and Agent-Based Simulation . Key trends in his 15 most recent articles (2015–2025) involve: Dynamic scheduling under time constraints Urban logistics and smart city applications Heuristics for combinatorial optimization Integration of MILP and Simulation models No scientific awards, formal supervisory roles, or part-time appointments are explicitly mentioned.

Joachim ArtsView profile

Professor

• Operations Research
• Supply Chain Management
• Logistics
• +3 more

Joachim Arts is a Full Professor at the University of Luxembourg in the Faculty of Law, Economics and Finance , Department of Economics and Management. He is affiliated with the Luxembourg Centre for Logistics and Supply Chain Management (LCL) and holds visiting positions at MIT Sloan School of Management and Eindhoven University of Technology. His research focuses on operations research applications in supply chain management, logistics, maintenance optimization, and business analytics, often collaborating with companies like ASML and Philips. He has published extensively in top journals such as Operations Research and European Journal of Operational Research . Dr. Arts holds a European Doctoral Dissertation Award (EURO) and a Veni Career Grant from the Netherlands. His work emphasizes practical applications, including inventory systems, maintenance scheduling, and sustainability in supply chains. He previously served as an Assistant Professor at TU Eindhoven and a visiting scholar at MIT. His research bridges theoretical models with real-world industry challenges. Awards : European Doctoral Dissertation Award (201?), Veni Career Grant (201?) Visiting Appointments : MIT Sloan, TU Eindhoven Key Focus Areas : Lost sales inventory systems, condition-based maintenance, green logistics, and service parts optimization His recent work explores profitability-sustainability trade-offs in chemical value chains and dynamic supply mode selection for emission reduction. He leads initiatives in data-driven maintenance strategies and multi-echelon inventory systems.