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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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Ontology Engineering & Materials Science
Fuzzy systems Engineering & Materials Science
Semantic Web Engineering & Materials Science
Fuzzy inference Engineering & Materials Science
Feature extraction Engineering & Materials Science
Linguistics Engineering & Materials Science
Semantics 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

Research Output 1998 2020

4 Downloads (Pure)

Remaining useful lifetime prediction via deep domain adaptation

da Costa, P. R. D. O., Akçay, A., Zhang, Y. & Kaymak, U., 1 Mar 2020, In : Reliability Engineering and System Safety. 195, 13 p., 106682.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Neural networks
Condition monitoring
Propulsion
NASA
Health

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
3 Citations (Scopus)
41 Downloads (Pure)

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 heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand

Rhuggenaath, J., de Oliveira da Costa, P. R., Akcay, A., Zhang, Y. & Kaymak, U., 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) . Piscataway: Institute of Electrical and Electronics Engineers, p. 3693-3698 6 p.

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

Open Access
File

A novel multi-objective approach to fuzzy clustering

Spolaor, S., Fuchs, C., Kaymak, U. & Nobile, M. S., 2019, (Accepted/In press) 2019 IEEE Symposium Series on Computational Intelligence.

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

Fuzzy clustering
Multiobjective optimization
Global optimization
Sorting
Clustering algorithms

Prizes

Best Student Paper Award

Reza Refaei Afshar (Recipient), Yingqian Zhang (Recipient), Murat Firat (Recipient) & Uzay Kaymak (Recipient), 21 Feb 2019

Prize: 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 information systems

1/09/12 → …

Course

Press / Media

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

IEEE world congress on computational intelligence (WCCI 2016)

U. Kaymak

9/07/14

1 item of Media coverage

Press/Media: Expert Comment

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

U. 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