Projects per year
Personal profile
Research profile
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.
Academic background
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.
Fingerprint Dive into the research topics where Uzay Kaymak is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Ontology
Engineering & Materials Science
Fuzzy systems
Engineering & Materials Science
Semantic Web
Engineering & Materials Science
Feature extraction
Engineering & Materials Science
Linguistics
Engineering & Materials Science
Semantics
Engineering & Materials Science
Classifiers
Engineering & Materials Science
Genetic algorithms
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2018 2021
- 2 Active
DMCoach: App suite for personalized coaching and lifestyle awareness increasing in T2DM prevention
IJsselsteijn, W., Van Gorp, P., Benckhuijsen - Mertens, P., Kaymak, U., Jansen, R., Jansen, R. & Van Gorp, P.
1/01/19 → 31/12/19
Project: Research direct
Gamification for Overweight prevention and Active Lifestyle
Van Gorp, P., Van Gorp, P., Kaymak, U., Jansen, R., Jansen, R., Nuijten, R. & Gerrits, E.
1/02/18 → 31/01/21
Project: Research direct
Research Output 1998 2020
Scalable entity resolution for Web product descriptions
Vandic, D., Frasincar, F., Kaymak, U. & Riezebos, M., 1 Jan 2020, In : Information Fusion. 53, p. 103-111 9 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
Consumer electronics
Sales
Experiments
A decision support method to increase the revenue of ad publishers in waterfall strategy
Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 1 May 2019, CIFEr 2019 - IEEE Conference on Computational Intelligence for Financial Engineering and Economics. Piscataway: Institute of Electrical and Electronics Engineers, 8 p. 8759106Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access
File
Websites
Marketing
Sales
Reinforcement learning
A PSO-based algorithm for reserve price optimization in online ad auctions
Rhuggenaath, J., Akcay, A., Zhang, Y. & Kaymak, U., 2019, 2019 IEEE Congress on Evolutionary Computation (CEC). Piscataway: Institute of Electrical and Electronics Engineers, p. 2611-2619 8789915Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access
File
Particle swarm optimization (PSO)
Marketing
Experiments
A reinforcement learning method to select ad networks in Waterfall Strategy
Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 2019, ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence. Steels, L., Rocha, A. & van den Herik, J. (eds.). SCITEPRESS-Science and Technology Publications, Lda., Vol. 2, p. 256-265 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access
File
Reinforcement learning
Websites
Marketing
A swarm intelligence approach to avoid local optima in fuzzy c-means clustering
Fuchs, C., Spolaor, S., Nobile, M. S. & Kaymak, U., 2019, (Accepted/In press) 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Particle swarm optimization (PSO)
Tuning
Fuzzy clustering
Global optimization
Fuzzy logic
Prizes
Best Student Paper Award
Reza Refaei Afshar (Recipient), Yingqian Zhang (Recipient), Murat Firat (Recipient) & Uzay Kaymak (Recipient), 21 Feb 2019
Recognition: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
File
Artificial intelligence
Students
Activities 2001 2009
- 2 Contributed talk
Inaugural speech, Rotterdam: Erasmus Universiteit
Uzay Kaymak (Speaker)6 Mar 2009
Activity: Talk or presentation types › Contributed talk › Scientific
ERIM Conference, 2001-11-16, Rotterdam
Uzay Kaymak (Speaker)16 Nov 2001
Activity: Talk or presentation types › Contributed talk › Scientific
Courses
Press / Media
IEEE world congress on computational intelligence (WCCI 2016)
9/07/14
1 item of media coverage
Press/Media: Expert Comment
2015 IEEE international conference on fuzzy systems (FUZZ-IEEE 2015)
9/07/14
1 item of media coverage
Press/Media: Expert Comment
Student theses
Achieving more accurate truck warning lights by descriptive and predictive analytics
Author: van de Donk, W., 31 May 2019Supervisor: Zhang, Y. (Supervisor 1), Kaymak, U. (Supervisor 2) & Zervanou, K. (Supervisor 2)
Student thesis: Master
File
A clinical decision support system by using wrist-worn smartphone tremor measurements: at the Maastricht University Medical Center
Author: Zamora, G., 30 Jun 2017Supervisor: Kaymak, U. (Supervisor 1), Wilbik, A. (Supervisor 2) & Van Gorp, P. (Supervisor 2)
Student thesis: Master
File
A comparison of workflow management systems and clinical decision support systems in supporting clinical processes
Author: Wang, X., 30 Nov 2012Supervisor: Kaymak, U. (Supervisor 1) & Reijers, H. (Supervisor 2)
Student thesis: Master
File
A data-driven approach for generating insights into software development
Author: Rexhepi, N., 25 Sep 2017Supervisor: Kaymak, U. (Supervisor 1), Wilbik, A. (Supervisor 2), Serebrenik, A. (Supervisor 2), Geritz, E. (External person) (External coach) & Kabel, M. (External person) (External coach)
Student thesis: Master
File
A data driven approach to evaluate guidelines for non-melanoma skin cancers (NMSCs)
Author: Kleinloog, T., 31 Dec 2015Supervisor: Kaymak, U. (Supervisor 1) & Van Gorp, P. (Supervisor 2)
Student thesis: Master
File