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.
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Projects
Gamification for Overweight prevention and Active Lifestyle
van Gorp, P. M. E., van Gorp, P. M. E., Kaymak, U. & Nuijten, R. C. Y.
1/02/18 → 31/01/21
Project: Research direct
Eurostars E! 11582 PADS (Programmatic Advertising Decision System)
Kaymak, U. & Refaei Afshar, R.
1/10/17 → 30/09/20
Project: Research direct
DMCoach: App suite for personalized coaching and lifestyle awareness increasing in T2DM prevention
IJsselsteijn, W. A., van Gorp, P. M. E., Kaymak, U. & van Gorp, P. M. E.
1/01/19 → 31/12/19
Project: Research direct
Research Output
A Graph Theory Approach to Fuzzy Rule Base Simplification
Fuchs, C. E. M., Spolaor, S., Nobile, M. S. & Kaymak, U., 15 Jun 2020, Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Proceedings. Lesot, M-J., Vieira, S., Reformat, M. Z., Carvalho, J. P., Wilbik, A., Bouchon-Meunier, B. & Yager, R. R. (eds.). p. 387-401 15 p. (Communications in Computer and Information Science; vol. 1237 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
A robust inner ensemble sequential feature selection method
Chen, P., Wilbik, A. M., Lu, X., Duan, H. & Kaymak, U., 5 Mar 2020, (In preparation).Research output: Working paper › Academic
A Smartphone-Based Clinical Decision Support System for Tremor Assessment
Zamora, G., Fuchs, C. E. M., Degeneffe, A., Kubben, P. & Kaymak, U., 2020, (Accepted/In press).Research output: Contribution to conference › Paper › Academic
A state aggregation approach for solving knapsack problem with Deep Reinforcement Learning
Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 25 Apr 2020, In : arXiv. 17 p., 2004.12117.Research output: Contribution to journal › Article › Academic
Open Access
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(Pure)
Dynamic pricing using Thompson Sampling with fuzzy events
Rhuggenaath, J., de O. da Costa, P. R., Zhang, Y., Akcay, A. & Kaymak, U., 15 Jun 2020, Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Proceedings. Lesot, M-J., Vieira, S., Reformat, M. Z., Carvalho, J. P., Wilbik, A., Bouchon-Meunier, B. & Yager, R. R. (eds.). p. 653-666 14 p. (Communications in Computer and Information Science; vol. 1237 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access
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Prizes
Best Industrial Paper Award
Herbert van Leeuwen (Recipient), Yingqian Zhang (Recipient), Kalliopi Zervanou (Recipient), Shantanu Mullick (Recipient), Uzay Kaymak (Recipient) & Tom de Ruijter (Recipient), 2020
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Best Student Paper Award
Reza Refaei Afshar (Recipient), Yingqian Zhang (Recipient), Murat Firat (Recipient) & Uzay Kaymak (Recipient), 21 Feb 2019
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Activities
- 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
Towards Multi-perspective conformance checking with fuzzy sets. (arXiv:2001.10730v1 [cs.AI])
Uzay Kaymak, Laura Genga & Sicui Zhang
30/01/20
1 item of Media coverage
Press/Media: Expert Comment
TU/e starts joint research institute with Zhejiang University
Jun Hu, Uzay Kaymak & Yuqing Jiao
2/12/19
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
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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
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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
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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
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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
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