- Research Team
- Industrial Scientific Partners
- Scientific Reference Board
Since September 2011, Paul Bouman is working as a PhD candidate for the NWO Complexity project ComPuTr at the Department of Decision and Information Sciences at the Rotterdam School of Management, Erasmus University Rotterdam. After obtaining his Bachelor degree in Computing Science (cum laude) at Utrecht University, along with a minor in Artificial Intelligence, he continued along this road and obtained the Master degree in Computing Science (cum laude) as well. He wrote his master thesis under the supervision of Han Hoogeveen and Marjan van den Akker on the topic of recoverable robustness applied to the knapsack problem and a column generation based framework for various types of recoverable robustness problems. During his studies he learned about various topics, including algorithms, datastructures, operations research methods and artificial intelligence; knowledge he hopes to apply during the project to solve complex real-world problems, especially in the area of public transport.
Evelien van der Hurk
Evelien van der Hurk is a PhD candidate in the NWO Complexity project ComPuTr at the Department of Decision and Information Sciences, RSM, Erasmus University since September 2010. She has a Bachelor in Econometrics and Operations Research and a master in Quantitative Logistics and Operations Research (cum laude) from the Erasmus University, Rotterdam. Her master thesis concerned the application of OR in strategic resource planning in a hospital. She has a general interest in applying OR to practical problems in the public domain, and in Complexity Theory, Behavioral modeling, Quantitative modeling – e.g. robust and stochastic optimization, prediction models, statistical analysis/clustering techniques-, and public transport and public transport networks, especially railways.
Leo Kroon is professor of Quantitative Logistics at RSM/EUR. At the same time, he has been working for Netherlands Railways as a logistic consultant since 1996. He graduated cum laude in Mathematics at the Free University of Amsterdam, and obtained his Ph.D. degree in Operations Research in 1990 at RSM/EUR. He was involved in the development of “SIMONE”, the railway timetable simulation model that is used by Netherlands Railways and ProRail for timetable robustness studies. Prof. Kroon(co-)authored many papers on mathematical optimization models for planning and real-time optimization of railway systems. He was member of the team of Netherlands Railways that was awarded the 2008 INFORMS Edelman Award for the development of railway planning support tools. He was the project leader for RSM/EUR of the EU-funded projects AMORE and ARRIVAL.
Peter Vervest is professor of Business Networks at RSM/EUR. He is specialized in complex business network analysis. He studied Law and Management Science, and he obtained his Ph.D. cum laude in 1986 at the Technical University Delft on the subject Electronic Mail and Message Handling Systems. Prof. Vervest has published extensively and authored several books such as recently “The Network Experience” (Springer, 2009). He has been the chairman of the Expert Group of Netherlands Railways to oversee the implementation of the Dutch nationwide smart card in public transport. He initiated the development of “IRIS”, a simulation system for analyzing passenger movements in public transport.
Dr. Ting Li is an assistant professor at Rotterdam School of Management (RSM), Erasmus University. Her research interests include the strategic use of information technology, consumer decision making in online and mobile channel, pricing and revenue management, and business networks. Her work has been published in the International Journal of Electronic Commerce and European Journal of Information Systems and several edited books. Prior to joining academic, she worked for General Electric and IBM in the area of e-business in supply chains, web services, and grid computing. She obtained her Ph.D. in Management Science at the Erasmus University and MSc in Computational Science at the University of Amsterdam.
Gábor Maróti graduated in Mathematics at the Eötvös Loránd University in Budapest, Hungary. As a Ph.D. student he participated in the European AMORE project, which resulted in his Ph.D. degree on Railway Rolling Stock Scheduling at the Technical University in Eindhoven in 2004. Thereafter, dr. Maróti was an assistant professor at RSM/EUR. Currrently he works at NS and is involved in several research projects with Netherlands Railways on capacity allocation and real-time rescheduling of railway rolling stock. Gábor Maróti was winner of the 2009 Management Science Strategic Innovation Award of EURO.
Kai Nagel is professor of Planning of Transport Systems and Transport Telematics at the Berlin Institute of Technology (TU Berlin). He holds masters degrees in Physics and Oceanology/Meteorology, and he obtained his Ph.D. in Computer Science in 1994. He is one of the front runners in the area of large scale multiagent traffic flow simulations and in multi-agent travel behavior. Prof. Nagel is section editor for “Traffic and Environment” of the journal “Advances of Complex Systems”. His current research includes the adaptation of MATSIM, an agentbased simulation model that was originally developed for large scale car traffic simulations, to public transport environments.
Industrial Scientific Partners
In 1995, Erwin Abbink graduated in Econometrics at the University of Groningen. In 2000 he obtained a M.Sc. degree in Information and Knowledge Technology at Middlesex University in London. Currently, he is a senior R&D consultant Decision Support Systems & Advanced Analytics of Netherlands Railways. He is involved in several projects related to disruption management for railway systems, and to monitoring of passenger flows by real-time ICT techniques. Based on his work, he has published papers in journals like Transportation Science, Interfaces, and Public Transport. Currently, Erwin Abbink is completing his Ph.D. thesis on Railway Crew (Re-)scheduling.
In 1993, Hanna Brands graduated in Theoretical Physics at the University of Amsterdam on Symmetries in Non-Linear Dynamical Systems. After that, she studied turbulence and self-organization in two dimensional flows at the KNMI (Dutch Meteorological Institute), resulting in her Ph.D. in Physics at the University of Amsterdam in 1998. At the moment, dr. Brands is manager of the Innovation group of Netherlands Railways. She is responsible for R&D in areas ranging from timetabling and crew and rolling stock planning, to real-time operations and monitoring passenger flows.
Menno de Bruyn
Menno de Bruyn graduated in 1993 in Econometrics at the University of Amsterdam. He joined the Marketing Research department of Netherlands Railways in 1998, where he is working as a senior project leader. He is involved in developing and applying demand forecasting models for timetable studies and business planning, several projects on customer satisfaction and behavior, and economic and competition analyses. He published and presented several papers about transportation and customer satisfaction.
Mark van Hagen
After his graduation in Economic Geography, Mark van Hagen has always been involved in the analysis of public transport systems. He started his career at Schiphol Amsterdam Airport where he investigated the impact of the construction of a high speed railway line for the airport. Currently Mark van Hagen works for the Marketing Research department of Netherlands Railways as a senior consultant. He is responsible for studies on passenger demand, passengers’ preferences, and station development. Currently, Mark van Hagen is finishing his Ph.D. thesis on Time and Waiting Experiences at Railway Stations.
Scientific Reference Board
Marjan van den Akker
Marjan van den Akker is assistant professor at the Department of Information and Computing Sciences at Utrecht University. Her research area is advanced planning algorithms and simulation. She obtained her Ph.D. degree in Mathematics from Eindhoven University of Technology in 1994. For more than 5 years, she has worked on modelling, optimisation, and simulation in Air Traffic Management and Road Pricing at the National Aerospace Laboratory NLR, the Netherlands. Her research involves integer linear programming methods for machine scheduling, advanced planning algorithms for public transportation, optimization of planning and control in Smart Grids (energy networks) and robustness concepts for planning. Her research is published in well-known international journals and conferences in the field of Computer Science and Operations Research.
Wolfgang Ketter is assistant professor at the Department of Decision and Information Sciences at the Rotterdam School of Management of Erasmus University. He received his Ph.D. in Computer Science from the University of Minnesota in 2007. He founded and runs the Learning Agents Research Group at Erasmus (LARGE). The primary objective of LARGE is to research, develop, and apply autonomous and mixed-initiative intelligent agent systems to support human decision making in the area of business networks, electronic markets, and supply-chain management. The research of dr. Ketter has been published in various information systems and computer science journals.
Ad Pruyn is professor of Marketing Communication and Consumer Behavior at the Faculty of Behavioral Sciences, University of Twente. He obtained his Ph.D. in Experimental and Social Psychology at the University of Groningen. He holds a (part-time) chair as visiting research professor at ESADE Business School in Barcelona. His research interests include time and consumer behavior, the dynamics of social influence, and relationship management in the service industry. Prof. Pruyn has published many studies on customers’ reactions to waiting and delay in public transport.
Aura Reggiani is professor of Economic Policy at the Department of Economics of the University of Bologna, Italy. She obtained her Ph.D. in Spatial Economics from the Free University of Amsterdam in 1990. She is a specialist in spatial and transport economics, with a particular view on the study on network evolution and complexity, both from a theoretical point of view and from an empirical point of view. In these fields she has led several National and European research projects. Prof. Reggiani has been a fellow of the Netherlands Institute of Advanced Studies (NIAS) at the Royal Dutch Academy of Sciences since 1991, working on network dynamics and evolutionary theories.