Uzay Kaymak and Dr. Wim Pijls Leave Econometric Institute

Per September 1st, Uzay Kaymak, Professor in Intelligence and Computations in Economics at Erasmus School of Economics, and Dr. Wim Pijls, assistant professor in Economics and Informatics at Erasmus School of Economics, leave the Econometric Institute. In his 27.5 years at the university, Wim Pijls taught courses in Java programming and algorithms. Even though Dr. Pijls will be enjoying his early retirement pension, he will also remain active in science in the upcoming years. Prof. Kaymak on the other hand starts at the Eindhoven Technical University at the Department of Industrial Engineering and Innovation Sciences.

Wim Pijls is assistant professor in Economics and Informatics at Erasmus School of Economics. He has been working here since 1984. His teaching contains particularly the topics Programming and Databases. Previously, his research was focused on algorithms for game playing, shortest path problems and frequent itemset mining. Currently, he is involved in digital financial reporting and the XBRL language.

Uzay Kaymak is professor of Intelligence and Computation in Economics at the Econometric Institute of the School of Economics at the Erasmus University. He holds an M.Sc. degree in Electrical Engineering and is a Chartered Designer in Information Technology. After his PhD study on fuzzy decision making at the Delft University of Technology in the Netherlands, he worked at the R&D department of Shell International Exploration and Production in Rijswijk, the Netherlands before joining the Erasmus University in 2000. Research interests of Uzay Kaymak include fuzzy decision making, data mining for marketing and finance, intelligent agents for financial modeling and distributed optimization in business processes and logistics. He is a co-author of the book Fuzzy Decision Making in Modeling and Control as well as numerous scientific publications in the fields of soft computing, computational intelligence and their applications in decision making and economic modeling.