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.
Scalable entity resolution for Web product descriptionsInformation Fusion (2020)
A decision support method to increase the revenue of ad publishers in waterfall strategy2019 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, (CIFEr2019) (2019)
No age thresholds in the emergency departmentPLoS ONE (2019)
The understanding of the quantifiers 'many' and 'most'8th IEEE Symposium Series on Computational Intelligence, SSCI 2018 (2019)
On accurate, automated and insightful deviation analysis of clinical protocols2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 (2019)
- Computational Intelligence
- Perspectives on Data Science
- Business analytics & decision support
- Healthcare processes & technology
- Healthcare information systems
- Healthcare business networks
No ancillary activities