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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Network
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DiaGame: Serious and personalized game for self-management of diabetes
van Riel, N. A. W., de Vries, R., Ferreira de Carvalho, D., Hilbers, P. A. J., Van Gorp, P., Kaymak, U., Haak, H. R., Wouters-van Poppel, P. & Reinders, E.
1/01/19 → 31/12/25
Project: Research direct
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DMCoach: DMCoach
IJsselsteijn, W. A., Van Gorp, P. & Kaymak, U.
1/01/19 → 31/12/19
Project: Research direct
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GOAL: Gamification for Overweight prevention and Active Lifestyle
Van Gorp, P., Nuijten, R. C. Y., Kaymak, U., Le Blanc, P. M., Kemperman, A. D. A. M. & van den Berg, P. E. W.
1/02/18 → 31/10/21
Project: Research direct
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Eurostars E! 11582 PADS (Programmatic Advertising Decision System)
Kaymak, U. & Refaei Afshar, R.
1/10/17 → 28/02/22
Project: Research direct
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Effect of calculating Pointwise Mutual Information using a Fuzzy Sliding Window in Topic Modeling
Rijcken, E., Zervanou, K., Spruit, M., Scheepers, F. & Kaymak, U., 2023, (Submitted). 6 p.Research output: Contribution to conference › Paper › Academic
File2 Downloads (Pure) -
Towards Interpreting Topic Models with ChatGPT
Rijcken, E., Scheepers, F., Zervanou, K., Spruit, M., Mosteiro, P. & Kaymak, U., 2023, (Accepted/In press). 7 p.Research output: Contribution to conference › Paper › Academic
Open AccessFile39 Downloads (Pure) -
A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability
Rijcken, E., Scheepers, F., Mosteiro, P., Zervanou, K., Spruit, M. & Kaymak, U., 24 Jan 2022, 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Institute of Electrical and Electronics Engineers, 8 p. 9660139Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile4 Citations (Scopus)84 Downloads (Pure) -
A Markov model for inferring event types on diabetes patients data
Ferreira de Carvalho, D., Kaymak, U., Van Gorp, P. & van Riel, N., 1 Nov 2022, In: Healthcare Analytics. 2, 10 p., 100024.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile48 Downloads (Pure) -
Analyzing Patient Feedback Data with Topic Modeling
Arendsen, J., Rijcken, E., Zervanou, K., Rietjens, K., Vlems, F. & Kaymak, U., 26 Jun 2022, Information Processing and Management of Uncertainty in Knowledge-Based Systems - 19th International Conference, IPMU 2022, Proceedings: 19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022, Proceedings, Part II. Ciucci, D., Couso, I., Medina, J., Ślęzak, D., Petturiti, D., Bouchon-Meunier, B. & Yager, R. R. (eds.). Cham: Springer, p. 248-258 11 p. (Communications in Computer and Information Science; vol. 1602 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Citation (Scopus)34 Downloads (Pure)
Prizes
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Best Industrial Paper Award
van Leeuwen, Herbert (Recipient), Zhang, Yingqian (Recipient), Zervanou, Kalliopi (Recipient), Mullick, Shantanu (Recipient), Kaymak, Uzay (Recipient) & de Ruijter, Tom (Recipient), 2020
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Student Paper Award
Refaei Afshar, Reza (Recipient), Zhang, Yingqian (Recipient), Firat, Murat (Recipient) & Kaymak, Uzay (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
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Inaugural speech, Rotterdam: Erasmus Universiteit
Uzay Kaymak (Speaker)
6 Mar 2009Activity: Talk or presentation types › Contributed talk › Scientific
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ERIM Conference, 2001-11-16, Rotterdam
Uzay Kaymak (Speaker)
16 Nov 2001Activity: Talk or presentation types › Contributed talk › Scientific
Courses
Press/Media
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-Eindhoven University of Technology: New neural network helps doctors explain relapses of heart failure patients
10/08/20
1 item of Media coverage
Press/Media: Expert Comment
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Eindhoven University of Technology: New Neural Network Helps Doctors Explain Relapses of Heart Failure Patients
8/08/20
1 item of Media coverage
Press/Media: Expert Comment