جستجوی استاد راهنمای دانشگاهی

Andre Bergerمشاهده پروفایل

دانشیار

• Operations Research
• Optimization Algorithms
• Combinatorial Optimization
• +۳ مورد دیگر

Andre Berger is an Associate Professor of Operations Research at Maastricht University, affiliated with the QE Operations Research department within the School of Business and Economics. He holds a PhD in Mathematics from Emory University (2006) and completed a postdoc at Technical University Berlin. His research focuses on optimization algorithms, combinatorial optimization, and their applications in scheduling, network design, and operations research. Notable contributions include work on the many-visits Traveling Salesman Problem and cluster editing algorithms. Berger’s recent publications span scheduling theory, MRI-based clinical research collaborations, and theoretical advancements in facility location models. He is based at Tongersestraat 53, Maastricht, and can be reached via a.berger@maastrichtuniversity.nl. Education: MSc in Mathematics, Emory University (2003) PhD in Mathematics, Emory University (2006) Research Interests: Berger’s work bridges theoretical computer science and practical applications in operations research, emphasizing algorithm design for complex optimization problems. Key areas include scheduling algorithms, network flow optimization, and geometric optimization challenges such as the Apollonius problem in facility location. His interdisciplinary approach integrates mathematical programming with real-world scenarios in telecommunications and healthcare.

• AgriFood Supply Chain Logistics
• Supply Chain Management
• Logistics Network Design
• +۴ مورد دیگر

Prof. Jack van der Vorst is the Personal Professor of AgriFood Supply Chain Logistics at Wageningen University's Operations Research and Logistics Group. Previously serving as a member of the Board of Directors of Wageningen University & Research (until 2024) and General Director of the Social Sciences Group, he leads over 1000 personnel across three institutes. His advisory roles include the Topteam AgriFood (Science Captain), Top consortium for Knowledge and Innovation (TKI), The Sustainability Consortium (TSC), and Florensis BV's Supervisory Board. With 20+ PhD supervisions and 200+ publications, his research focuses on innovative logistics concepts in AgriFood systems, including supply chain resilience, sustainability, and system innovation. His work integrates modeling frameworks with practical industry applications, emphasizing perishable products, horizontal collaboration, and environmental efficiency. Research interests span AgriFood System Design, Supply Chain Strategy, and Performance Management. His recent studies address challenges like postharvest loss reduction in developing countries, CO2 emission minimization in cold chains, and circular economy implementation in mushroom supply chains. Methodologically, he employs multi-criteria decision models, optimization techniques, and simulation to address complex logistics problems. Publications highlight themes such as horizontal collaboration success factors, vulnerability assessment frameworks, and green supply chain design. His work bridges academic rigor with industry needs, often collaborating with policymakers and international organizations to promote sustainable agri-food systems.

Iris F.A. Visمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Design
• Sustainable Logistics
• +۵ مورد دیگر

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.

• Stochastic Processes
• Queueing Theory
• Probability Theory
• +۷ مورد دیگر

Michel Mandjes is a Professor at the University of Amsterdam's Faculty of Science and holds a Visiting Professor position at the Faculty of Economics and Business (FEB). His research focuses on stochastic processes, queueing theory, and probability theory, with applications in risk modeling, network analysis, and operations research. Recent publications highlight his contributions to multivariate Hawkes processes , Lévy-driven systems , and dynamic random graphs , emphasizing large deviations, rare event simulation, and statistical inference. His work bridges theoretical probability with practical challenges in traffic flow, financial risk, and social network modeling. The trends in his research include the development of stochastic models for network stability, appointment scheduling optimization, and inference techniques for non-stationary processes. His methodological innovations often leverage advanced probability theory and queueing frameworks to address real-world problems in transportation, healthcare, and finance.

Eduardo Lalla-Ruizمشاهده پروفایل

دانشیار

• Logistics
• Operations Research
• Mathematical Programming
• +۴ مورد دیگر

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.

Martijn R.K. Mesمشاهده پروفایل

استاد

• Transportation and Logistics Management
• Artificial Intelligence for Logistics
• Synchromodal Transport
• +۱۱ مورد دیگر

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 Woenselمشاهده پروفایل

استاد

• Freight Transport
• Logistics
• Operations Research
• +۵ مورد دیگر

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

• Stochastic Processes
• Operations Research
• Data-Driven Decision Making
• +۴ مورد دیگر

Stella Kapodistria is an Associate Professor at Eindhoven University of Technology's Department of Mathematics and Computer Science, specializing in Stochastic Operations Research. She holds roles as EAISI High Tech Systems Associate Professor and editorial board member of journals like MCAP and PEIS. Her research focuses on data-driven decision-making, stochastic systems optimization, and maintenance policies, with applications in renewable energy, critical infrastructure, and cryptocurrency networks. She has secured grants including NWA-ORC, NWO Big Data, and TKI WoZ, and collaborates with industry partners in the Brainport region. Education: BSc (2003), MSc (2006, Hons.), and PhD (2009, summa cum laude) in Mathematics from the University of Athens. Postdoc at TU/e, followed by roles at Groningen University and TU/e's Stochastic Operations Research group. Teaching includes courses on Optimal Decision Making, Stochastic Performance Modeling, and Financial Mathematics. Research interests emphasize real-time learning, system resilience, and scalable algorithms for complex networks. Recent work addresses maintenance logistics, blockchain confirmation times, and wind energy prediction. She has published over 40 peer-reviewed articles and contributed to the 4TU Resilience Engineering Center. Awards include editorial leadership roles and grant funding. Advised 32 academic works and oversees industrial projects bridging theory and practice. Her labs and collaborations focus on adaptive systems, predictive analytics, and sustainable engineering solutions.

Laurens Bliekمشاهده پروفایل

استادیار

• Artificial Intelligence
• Optimization
• Sustainable Logistics
• +۵ مورد دیگر

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.

Marc Jochen Uetzمشاهده پروفایل

استاد

• Operations Research
• Computer Science
• Artificial Intelligence
• +۱۱ مورد دیگر

Marc Jochen Uetz is a Full Professor at the Mathematics of Operations Research department and affiliated with the Digital Society Institute. His research spans operations research and computer science, focusing on scheduling, game theory, and optimization problems. PhD in Mathematics from Technische Universität Berlin Research Interests: Active in algorithmic game theory and stochastic scheduling, he investigates equilibrium models, price of anarchy, and efficient resource allocation in transportation and network systems. His work contributes to UN Sustainable Development Goals related to education and infrastructure. Publication Trends: Recent work combines game theory with two-stage facility location, network routing, and stochastic scheduling of Bernoulli-type jobs. Key keywords include Nash equilibrium, approximation algorithms, and dynamic programming. Scientific Recognition: Excellent Reviewer Award (2017) Teaching Award (2018) Academic Activities: Currently chairs Platform Wiskunde Nederland, contributes to editorial work, and delivers invited talks at international conferences like IJCAI 2024.

Kees Jan Roodbergenمشاهده پروفایل

استاد

• E-commerce Logistics
• Warehouse Optimization
• Vehicle Routing
• +۳ مورد دیگر

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.

Arpan Rijalمشاهده پروفایل

استادیار

• Optimization
• Personnel Scheduling
• Energy Systems Modeling
• +۳ مورد دیگر

Dr. Arpan Rijal is an Assistant Professor at the University of Groningen's Faculty of Economics and Business, specializing in Operations Management & Operations Research. His research focuses on optimization methodologies, particularly in personnel scheduling, energy systems modeling, and warehouse operations. He holds positions in the Operations department and contributes to the PANOPTIWORK research initiative. His work is supported by grants from the Dutch Research Council (NWO) and the European Union, addressing workforce well-being and aviation sector energy systems. Notable contributions include publications in European Journal of Operational Research , Transportation Science , and Production and Operations Management . Rijal has received prestigious awards: the 2021 Facility Logistics Outstanding Paper Award and the Transportation Science Meritorious Service Award. His research bridges academic insights with practical applications, emphasizing sustainability and policy integration through systemic approaches to SDG acceleration.

Rudesindo Núñez Queijaمشاهده پروفایل

استاد

• Queueing Theory
• Stochastic Modeling
• Operations Research
• +۷ مورد دیگر

Rudesindo Núñez Queija is a Professor at the Korteweg-De Vries Institute, Faculty of Science, University of Amsterdam (UvA), and a Scientific Staff Member in the Stochastics Department at Centrum Wiskunde & Informatica (CWI), Amsterdam. His work bridges theoretical stochastic modeling and practical applications in transportation and network systems. University: University of Amsterdam Research Institute: Centrum Wiskunde & Informatica (CWI) Department: Stochastics Role: Professor and Scientific Staff Member His research focuses on queueing theory, stochastic models, and dynamic systems, particularly in the context of transportation networks and service systems. He investigates problems such as dynamic routing under uncertainty, traffic congestion modeling, optimal dispatching in queues, and performance analysis of polling and processor-sharing systems. His methodological toolkit includes Markov decision processes, fluid approximations, heavy-traffic analysis, and perturbation techniques. The 15 most recent publications highlight a strong trend in applying stochastic modeling to real-world transportation challenges—such as intelligent routing, bottleneck dynamics under uncertainty, and urban traffic control—while also advancing fundamental queueing theory. His work frequently appears in high-impact journals like Transportation Research Part B , Queueing Systems , and Operations Research Letters . Notable scientific recognition includes: Applied Probability Trust Award for his PhD thesis on Processor-Sharing Models (2000) He has co-supervised several PhD students, including Daphne van Leeuwen, Peter Kovacs, and Nikki Levering, and has been actively involved in major research grants, such as the NWO Networks program and the NWO Sustainable Logistics project 'Dynafloat'. He teaches courses such as 'Statistics for Forensic Science', demonstrating a broad educational impact. His research is supported by funding from the Netherlands Organisation for Scientific Research (NWO), and he collaborates extensively within the Dutch academic and research community. He is affiliated with research groups at both CWI and UvA, particularly within the Stochastics and Networks domains, contributing to large-scale interdisciplinary projects focused on modeling and optimizing complex systems.

Sandjai Bhulaiمشاهده پروفایل

استاد

• Machine Learning
• Operations Research
• Telecommunications
• +۳ مورد دیگر

Prof. Sandjai Bhulai is a Full Professor at Vrije Universiteit Amsterdam's Faculty of Science (Department of Mathematics) and holds affiliations with the Network Institute. He specializes in machine learning, operations research, and their applications in telecommunications, healthcare, and optimization. His research addresses real-world challenges such as suicide prevention through AI-driven systems, signal processing in underwater acoustics, and dynamic dispatch algorithms for logistics. Key research interests include machine learning algorithms for classification and prediction, reinforcement learning for optimization problems, and data-driven decision-making in healthcare and transportation. He has pioneered methods like the 'Dutch Draw' baseline for binary classification and contributed to ambulance dispatch systems and power grid topology optimization. Prof. Bhulai has published over 137 research outputs, including high-impact articles in International Journal of Medical Informatics , Ocean Engineering , and Transportation Science . He received the Best Paper Award (2018) and led projects such as the AI-BIPTO initiative for integrated production optimization. He advises on technical and ethical committees, including roles at NWO and the Mondriaanfonds. His teaching spans advanced courses in machine learning, algebraic geometry, and linear programming.

Joris Wagenaarمشاهده پروفایل

دانشیار

• Transportation Optimization
• Supply Chain Management
• Integer Programming
• +۱ مورد دیگر

Joris Wagenaar is Associate Professor of Business Analytics/Operations Research at Tilburg University. His research focuses on optimization problems in transportation systems and humanitarian supply chains, with applications ranging from railway networks to food distribution for the World Food Programme. Education: PhD in Business Processes, Logistics & Information Systems, Erasmus Research Institute of Management (2016) Research integrates combinatorial optimization with real-world logistics challenges. Recent projects include container loading optimization and predictive routing models using satellite data. Supervises PhD candidates Valentijn Stienen and Buis Boone on transportation analytics projects.