Uzay Kaymak is a Full Professor and Chair of Information Systems in Health Care at Eindhoven University of Technology (TU/e). His research focuses on intelligent decision support systems, data and process mining and computational modeling methods. He has worked on the development of computational intelligence methods for decision models in which linguistic information, represented either as declarative linguistic rules derived from experts or obtained through natural language processing, is combined with numerical information extracted from data by computational and machine learning methods. Fuzzy set theory is at the basis of such models. The resulting (adaptive) decision support systems have been used in various fields such as financial decision-making, economic analysis and clinical decision support.
Uzay Kaymak received his MSc in electrical engineering (1992), Chartered Designer Degree in information technology (1995), and PhD in control engineering (1998) from Delft University of Technology. He has held various positions at Shell International Exploration and Production, Erasmus University Rotterdam, the Netherlands, and Salford University in United He has (co)-authored more than 250 scientific publications in the fields of intelligent systems, computerized decision support and computational intelligence. Uzay is a board member of the TU/e Clinical Informatics study program (two-year post-master PDEng study) and a member of the program and/or organization committee of multiple international conferences. He also holds a visiting professor position at the Zhejiang University, China.
Aligning event logs to task-time matrix clinical pathways in BPMN for variance analysisIEEE Journal of Biomedical and Health Informatics (2018)
A framework for product description classification in e-commerceJournal of Web Engineering (2018)
An enhanced approach to rule base simplification of first-order takagi-sugeno fuzzy inference systems4th Annual Symposium on Combinatorial Pattern Matching (CPM1993), June 2-4, 1993, Padova, Italy (2018)
Finding the optimal number of features based on mutual information10th Conference of the European Society for Fuzzy Logic and Technology, (EUSFLAT 2017) and 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2017, 11-15 September 2017, Warsaw, Poland (2018)
A meta-model for computer executable dynamic clinical safety checklistsBMC Medical Informatics and Decision Making (2017)
- Business analytics & decision support
- Business Intelligence
- Healthcare business networks
- Healthcare processes & technology
- Healthcare information systems
- Bestuurslid, Turkish Professionals Network Eindhoven (TPN-E)
- Bestuurslid, Stichting Onderzoeksfonds voor Alevitisme (OVA Fonds)