Als u wijzigingen in Pure hebt gemaakt, zullen deze hier binnenkort zichtbaar zijn.

Persoonlijk profiel

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.

Vingerafdruk Duik in de onderzoeksthema's waar Uzay Kaymak actief is. Deze onderwerplabels komen voort uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

Ontology Engineering en materiaalwetenschappen
Fuzzy systems Engineering en materiaalwetenschappen
Semantic Web Engineering en materiaalwetenschappen
Feature extraction Engineering en materiaalwetenschappen
Linguistics Engineering en materiaalwetenschappen
Semantics Engineering en materiaalwetenschappen
Classifiers Engineering en materiaalwetenschappen
Genetic algorithms Engineering en materiaalwetenschappen

Netwerk Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.

Projecten 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: Onderzoek direct

Gamification for Overweight prevention and Active Lifestyle (GOAL)

Van Gorp, P., Van Gorp, P., Kaymak, U., Jansen, R., Jansen, R., Nuijten, R. & Gerrits, E.

1/02/1831/01/21

Project: Onderzoek direct

Onderzoeksoutput 1998 2020

Remaining useful lifetime prediction via deep domain adaptation

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

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Open Access
Bestand
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, blz. 103-111 9 blz.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Open Access
Consumer electronics
Sales
Experiments
3 Citaties (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 mei 2019, CIFEr 2019 - IEEE Conference on Computational Intelligence for Financial Engineering and Economics. Piscataway: Institute of Electrical and Electronics Engineers, 8 blz. 8759106

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Open Access
Bestand
Websites
Marketing
Sales
Reinforcement learning

A novel multi-objective approach to fuzzy clustering

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Fuzzy clustering
Multiobjective optimization
Global optimization
Sorting
Clustering algorithms
2 Citaties (Scopus)

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, blz. 2611-2619 8789915

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Open Access
Bestand
Particle swarm optimization (PSO)
Marketing
Experiments

Prijzen

Best Student Paper Award

Reza Refaei Afshar (Ontvanger), Yingqian Zhang (Ontvanger), Murat Firat (Ontvanger) & Uzay Kaymak (Ontvanger), 21 feb 2019

Prijs: AndersWerk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.)Wetenschappelijk

Bestand
Artificial intelligence
Students

Activiteiten 2001 2009

  • 2 Aangemelde presentatie

Inaugural speech, Rotterdam: Erasmus Universiteit

Uzay Kaymak (Spreker)
6 mrt 2009

Activiteit: Types gesprekken of presentatiesAangemelde presentatieWetenschappelijk

ERIM Conference, 2001-11-16, Rotterdam

Uzay Kaymak (Spreker)
16 nov 2001

Activiteit: Types gesprekken of presentatiesAangemelde presentatieWetenschappelijk

Cursussen

Computational Intelligence

1/09/18 → …

Cursus

Healthcare information systems

1/09/12 → …

Cursus

Pers/media

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

Uzay Kaymak

9/07/14

1 item van media-aandacht

Pers / media: Vakinhoudelijk commentaar

IEEE world congress on computational intelligence (WCCI 2016)

Uzay Kaymak

9/07/14

1 item van media-aandacht

Pers / media: Vakinhoudelijk commentaar

Scriptie

Achieving more accurate truck warning lights by descriptive and predictive analytics

Auteur: van de Donk, W., 31 mei 2019

Begeleider: Zhang, Y. (Afstudeerdocent 1), Kaymak, U. (Afstudeerdocent 2) & Zervanou, K. (Afstudeerdocent 2)

Scriptie/masterproef: Master

Bestand

A clinical decision support system by using wrist-worn smartphone tremor measurements: at the Maastricht University Medical Center

Auteur: Zamora, G., 30 jun 2017

Begeleider: Kaymak, U. (Afstudeerdocent 1), Wilbik, A. (Afstudeerdocent 2) & Van Gorp, P. (Afstudeerdocent 2)

Scriptie/masterproef: Master

Bestand

A comparison of workflow management systems and clinical decision support systems in supporting clinical processes

Auteur: Wang, X., 30 nov 2012

Begeleider: Kaymak, U. (Afstudeerdocent 1) & Reijers, H. (Afstudeerdocent 2)

Scriptie/masterproef: Master

Bestand

A data-driven approach for generating insights into software development

Auteur: Rexhepi, N., 25 sep 2017

Begeleider: Kaymak, U. (Afstudeerdocent 1), Wilbik, A. (Afstudeerdocent 2), Serebrenik, A. (Afstudeerdocent 2), Geritz, E. (Externe persoon) (Externe coach) & Kabel, M. (Externe persoon) (Externe coach)

Scriptie/masterproef: Master

Bestand

A data driven approach to evaluate guidelines for non-melanoma skin cancers (NMSCs)

Auteur: Kleinloog, T., 31 dec 2015

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

Scriptie/masterproef: Master

Bestand