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Remco M. DijkmanView profile

Professor

• Business Process Management
• Data-Driven Process Optimization
• Supply Chain Management
• +3 more

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.

Noela MüllerView profile

Assistant Professor

• Probability Theory
• Random Matrices
• Sparse Matrices
• +5 more

Noela Müller is an Assistant Professor in the Mathematics and Computer Science school at Eindhoven University of Technology . Her research focuses on Probability Theory , Random Matrices , and Random Graphs , with significant contributions to understanding the rank of sparse matrices and clique factors in probabilistic settings. Research Outputs : Published 22 works including journal articles and preprints. Collaborations : Active in international networks, particularly in sparse matrix analysis and probabilistic combinatorics. Her recent work explores sparse pooled data algorithms , random 2-SAT models , and sharp thresholds in random graphs , showcasing interdisciplinary applications in computer science, mathematics, and theoretical physics.

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

Christopher HojnyView profile

Assistant Professor

• Mixed-Integer Programming
• Symmetry Handling in Optimization
• Combinatorial Optimization
• +3 more

Christopher Hojny is an Assistant Professor at the Department of Mathematics and Computer Science at Eindhoven University of Technology , specializing in combinatorial optimization. He contributes to the EAISI Foundational group and co-develops the academic solver SCIP . His research focuses on symmetry handling in mixed-integer programming , theoretical properties of integer programs, and algorithm development for combinatorial optimization. Recent work explores applications in graph neural network verification , clustering problems, and network coding through mixed-integer programming frameworks. Key publication trends show expertise in Symmetry detection and mitigation techniques Relaxation complexity theory Applications to machine learning robustness Decision diagram-based scheduling Scientific contributions include Proof systems for symmetry certification Topological bounds tightening in GNNs Stable set problem symmetry handling SCIP solver extensions He supervises PhD students Cédric Roy (NWO project on Local Symmetries) and Sten Wessel (co-supervised with Frits Spieksma), while Jasper van Doornmalen (2019-2023) investigated symmetry propagation algorithms.

• Operations Research
• Scheduling Algorithms
• Integer Linear Programming
• +3 more

Gerhard F. Post is an Assistant Professor specializing in Mathematics of Operations Research. His work focuses on algorithmic solutions for scheduling and optimization problems, particularly in healthcare and educational contexts. He contributes to the UN Sustainable Development Goals through research addressing complex operational challenges. Research interests include personnel scheduling, integer linear programming, and timetabling systems. His work bridges theoretical models with real-world applications, such as nurse rostering and compliance with labor regulations. Recent studies involve service planning processes and shift design optimization using advanced mathematical frameworks. Key contributions include a unified nurse rostering model and analyses of Dutch labor law inconsistencies. His research has been disseminated through peer-reviewed journals like Annals of Operations Research and conference proceedings such as PATAT. Active in academic discourse, he has presented on topics ranging from sports tournament scheduling to harmonious personnel scheduling strategies.

Marc Jochen UetzView profile

Professor

• Operations Research
• Computer Science
• Artificial Intelligence
• +11 more

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.

Cock HeemskerkView profile

Lecturer

• Robotics
• Agricultural Robotics
• Healthcare Robotics
• +4 more

Cock Heemskerk serves as a Lecturer in Robotics at Inholland University of Applied Sciences, Alkmaar campus since May 2016, operating under the Research and Innovation Centre for Technology, Design and Computer Science (RIC-TOI). He collaborates across Mechanical Engineering, Electrical Engineering, and Computer Science programs to integrate robotics into technical curricula through applied research. His educational foundation includes a PhD in Mechanical Engineering from Delft University of Technology (1990) on industrial robot assembly, an MSc from the same institution (1985), and a visiting scientist role at Carnegie Mellon University (1985-1986). Delft University of Technology: MSc Mechanical Engineering (1985) Delft University of Technology: PhD Robotics (1990) Carnegie Mellon University: Visiting Scientist (1985-1986) Dr. Heemskerk's research centers on practical robotics implementation with dual emphases: healthcare applications (including a care robot developed since 2014 through his consultancy HIT) and agricultural robotics for sustainable farming. His work uniquely bridges Technology, Design and Computer Science (TOI) with Health, Sport and Welfare (GSW), Agri, Food & Life Sciences (AFL), and Business domains through projects like HiPerGreen. Key cross-cutting themes include sustainability, human-robot collaboration, and field-deployable solutions for real-world problems. Analysis of his 2017-2019 publications reveals a concentrated focus on agricultural robotics , particularly Unmanned Aerial Systems (UAS) for greenhouse crop monitoring. These works demonstrate a strategic shift toward practice-oriented validation of robotics in horticulture, with strong emphasis on data transmission, storage, and UAS navigation in confined environments. Concurrently, his educational contributions explore robotics' role in developing 21st-century technical skills. Students engage through internships, graduation projects, and design assignments within his Robotics knowledge circle, while industry partnerships drive innovation in healthcare and agricultural robotics applications. Government collaboration is exemplified by the Ministry of Agriculture's working visit regarding his input on the "Robots to Farming Practice" innovation program. The Robotics lectureship operates within RIC-TOI as a multidisciplinary hub connecting Terra Technica and other platforms, with current projects including HiPerGreen, KIEM 21st Century Skills, and SCOUT focusing on field validation of robotic systems.

Emiel HeijnenView profile

Research Professor

• Arts Education
• Contemporary Art Practices
• Curriculum Design and Innovation
• +5 more

Dr. Emiel Heijnen is a Research Professor in the Arts Education department at Amsterdam University of the Arts (AHK), where he leads the Lectorate of Arts Education. With a doctorate from Radboud University Nijmegen focusing on contemporary visual practices in art education, he has established himself as a leading researcher in authentic art education and curriculum innovation. His research focuses on Arts Education , Contemporary Art Practices , Curriculum Design and Innovation , and the emerging field of ArtsSciences Integration . He has developed the influential concept of Wicked Arts Assignments , which challenges traditional educational approaches by embracing complexity and uncertainty in art education. His work bridges theory and practice, connecting contemporary art practices with educational settings to create more authentic learning experiences. Dr. Heijnen's publications and presentations reveal a consistent focus on interdisciplinary approaches, particularly the integration of arts with science and technology (ArtsSciences). His recent work emphasizes creative citizenship, media literacy, and strategies for implementing authentic art education in diverse educational contexts from primary schools to higher vocational education. As an active researcher and thought leader, he serves on editorial boards, participates in international conferences, and collaborates with educational institutions worldwide. His work has significantly influenced arts education policy and practice in the Netherlands and beyond, particularly through his leadership in developing research agendas and educational frameworks that connect contemporary art practices with educational innovation.

Arpan RijalView profile

Assistant Professor

• Optimization
• Personnel Scheduling
• Energy Systems Modeling
• +3 more

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.

Renata SotirovView profile

Professor

• Optimization
• Operations Research
• Mathematical Programming
• +3 more

Renata Sotirov is a Full Professor at Tilburg University's Department of Econometrics & Operations Research within the Tilburg School of Economics and Management. She holds a PhD in Mathematics and has held academic positions including Associate Professor (2009–2014) and Assistant Professor (2007–2009). Her research focuses on optimization, operations research, and semidefinite programming with applications in combinatorial optimization and discrete mathematics. She has supervised PhD students such as Dr. Ning Ma and Dr. Uwe Truetsch and collaborates internationally, including with institutions like the University of Melbourne and McMaster University. Her work includes pioneering contributions to semidefinite relaxation techniques, integer SDPs, and algorithmic optimization. Recent projects involve the Chvátal-Gomory procedure for integer SDPs and complex cut polytopes. She has served as a research coordinator, director of graduate studies, and treasurer for her department. Her expertise spans teaching operations research methods, combinatorial optimization, and quantitative business analytics.

Wim P.M. NuijtenView profile

Professor

• Job Shop Scheduling
• Graph Neural Networks
• Assignment Problem
• +4 more

Wim P.M. Nuijten is a Full Professor at the Eindhoven University of Technology , affiliated with the Mathematics and Computer Science school and the Process Analytics department. His research focuses on Job Shop Scheduling Problems , Graph Neural Networks , and Deep Reinforcement Learning , with significant contributions to combinatorial optimization and dynamic task assignment. Recent publications include a comprehensive survey on graph neural networks for job shop scheduling (2025), addressing stochastic optimization challenges in manufacturing systems (2025), and novel frameworks for dynamic task assignment using Petri nets (2023). His work aligns with UN Sustainable Development Goals, particularly in transport optimization and system analysis. European Journal of Operational Research best review paper (2016)

Sebastian KraulView profile

Assistant Professor

• Operations Research
• Healthcare Operations Management
• Scheduling Algorithms
• +3 more

Sebastian Kraul is an Assistant Professor in the Department of Operations Analytics at the School of Business and Economics , Vrije Universiteit Amsterdam. He holds a PhD in Business and Economics from the University of Augsburg (2021) and has postdoctoral experience in Health Care Operations Management. His research focuses on Operations Research , Healthcare Operations Management , and Optimization Algorithms , with applications in healthcare scheduling, resource allocation, and machine learning integration in operational problems. He teaches courses such as Sustainable Management of Global Supply Chains . Education: PhD in Business and Economics, University of Augsburg (2021) Master's in Business Administration, RWTH Aachen University (2015) Bachelor's in Business and Economics, Technical University Dortmund (2013) Research interests include optimizing healthcare processes (e.g., sterilization, physician scheduling) and developing robust frameworks for resident scheduling. His work employs methods like GRASP, column generation, and machine learning to tackle operational challenges in healthcare systems. For instance, his 2023 study on stable annual scheduling uses prioritized training schedules to address uncertainty in medical residency programs. His publications highlight trends in healthcare operations optimization, emphasizing resilience, resource efficiency, and continuity of care. He has received the Dissertation Award of the GOR (2022) for his doctoral work. Dr. Kraul actively participates in peer review for journals like European Journal of Operational Research and Omega . He currently teaches Business Mathematics , Operations and Supply Chain Management , and Sustainable Management of Global Supply Chains .

O.A.L. EikenbroekView profile

Assistant Professor

• Transport Engineering
• Applied Mathematics
• Computer Science Models
• +6 more

O.A.L. Eikenbroek is an Assistant Professor at the Department of Transport Engineering and Management within the Faculty of Engineering Technology at the University of Twente. His work integrates civil engineering, applied mathematics, and computer science to address transport optimization challenges. Education: BSc in Civil Engineering (University of Twente, 2013) MSc in Civil Engineering & Management (Cum Laude, 2016) MSc in Applied Mathematics (University of Twente, 2016) Research Expertise: His research focuses on service synchronization, genetic algorithms, dwell time analysis, and assignment problems in transport systems, with interdisciplinary applications in social sciences and public transport optimization. He is affiliated with the Digital Society Institute at the University of Twente.

• Operations Research
• Machine Scheduling
• Robust Optimization
• +5 more

Dr. Han Hoogeveen serves as an Associate Professor in the Department of Information and Computing Sciences within the Faculty of Science at Utrecht University. His research focuses on applied operations research, particularly in transportation systems and robust optimization. Hoogeveen obtained his PhD from Eindhoven University of Technology for research on Single Machine Bicriteria Scheduling problems, conducted at the Centrum voor Wiskunde en Informatica (CWI) in Amsterdam under Jan Karel Lenstra. His research interests center on developing robust solutions for real-world planning problems, especially in transportation systems. He has pioneered research on finding solutions that remain feasible during small disruptions, with applications in railway operations, airport management, and public transportation. His work combines theoretical algorithm development with practical implementation through collaborations with major Dutch companies including NS (Dutch Railways), KLM, Amsterdam Airport Schiphol, and Qbuzz. Hoogeveen co-founded an Operations Research group with Marjan van den Akker, which evolved into the AI and Mobility Lab. His research has produced significant practical applications including gate assignment systems for Schiphol Airport, bus scheduling for Qbuzz, and shunting plans for NS. In 2021, he was conducting research for improving planning of city hubs and KLM operations through the kickstart AI initiative. Dr. Hoogeveen has supervised multiple PhD students including Guido Diepen (gate assignment), Marcel van Kooten Niekerk and Jan Posthoorn (bus scheduling), and Roel van den Broek (shunting plans for NS). His work exemplifies his philosophy that successful research must address real-world problems where 'we are not interested in the color of the hood, but in what is running beneath it'.

• Online Algorithms
• Combinatorial Optimization
• Algorithm Design
• +3 more

Dr. Alison Hsiang-Hsuan Liu is an Assistant Professor at the Faculty of Science, Utrecht University, specializing in the Algorithms and Complexity group within the Department of Information and Computing Sciences. Her research focuses on combinatorial optimization problems, particularly designing online and approximation algorithms for network design, resource allocation, scheduling, and graph coloring. She actively supervises graduate students and collaborates on algorithmic research in special graph classes. Email: h.h.liu@uu.nl Liu's research emphasizes potential functions and accounting methods for algorithm analysis, with a strong interest in non-determinism as a theoretical framework. Her work spans both fundamental algorithm design and applied problems in smart grids and energy-aware scheduling systems. Recent publications highlight advancements in scheduling with untrusted predictions, amortized recourse for online graph problems, and combinatorial optimization in smart grid models. These works have appeared at prestigious venues like SOFSEM, MFCS, WAOA, and journals including Theory of Computing Systems and Algorithmica. She supervises graduate students including: Bob Krekelberg Rick van de Bovenkamp Xiao-Ou Zhang Jonathan Toole-Charignon Liu has delivered invited speeches at institutions such as NYCU School of Law, University of Liverpool, and Academia Sinica, covering topics like AI-assisted decision making, online algorithms with predictions, and optimization under uncertainty.