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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

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.

1/01/1931/12/19

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.

1/02/1831/01/21

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 journalArticleAcademicpeer-review

Open Access
Consumer electronics
Sales
Experiments
1 Citation (Scopus)

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. 8759106

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-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 8789915

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Particle swarm optimization (PSO)
Marketing
Experiments
1 Citation (Scopus)

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 proceedingConference contributionAcademicpeer-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 proceedingConference contributionAcademicpeer-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: OtherCareer, 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 typesContributed talkScientific

ERIM Conference, 2001-11-16, Rotterdam

Uzay Kaymak (Speaker)
16 Nov 2001

Activity: Talk or presentation typesContributed talkScientific

Courses

Computational Intelligence

1/09/18 → …

Course

Healthcare business networks

1/09/0931/08/19

Course

Healthcare information systems

1/09/12 → …

Course

Healthcare processes & technology

1/09/1331/08/19

Course

Press / Media

IEEE world congress on computational intelligence (WCCI 2016)

Uzay Kaymak

9/07/14

1 item of media coverage

Press/Media: Expert Comment

2015 IEEE international conference on fuzzy systems (FUZZ-IEEE 2015)

Uzay Kaymak

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 2019

Supervisor: 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 2017

Supervisor: 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 2012

Supervisor: 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 2017

Supervisor: 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 2015

Supervisor: Kaymak, U. (Supervisor 1) & Van Gorp, P. (Supervisor 2)

Student thesis: Master

File