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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.

  • 3 Vergelijkbare profielen
Ontology Engineering en materiaalwetenschappen
Fuzzy systems Engineering en materiaalwetenschappen
Semantic Web Engineering en materiaalwetenschappen
Fuzzy inference Engineering en materiaalwetenschappen
Feature extraction Engineering en materiaalwetenschappen
Linguistics Engineering en materiaalwetenschappen
Semantics 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

Onderzoeksoutput 1998 2020

Metabolic Health Index (MHI): assessment of comorbidity in bariatric patients based on biomarkers

van Loon, S. L. M., Deneer, R., Nienhuijs, S. W., Wilbik, A., Kaymak, U., van Riel, N., Scharnhorst, V. & Boer, A-K., 1 feb 2020, In : Obesity Surgery. 30, 2, blz. 714-724 11 blz.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Bariatrics
Comorbidity
Biomarkers
Health
Ambulatory Surgical Procedures
15 Downloads (Pure)

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
4 Citaties (Scopus)
44 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 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
4 Downloads (Pure)

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., okt 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) . Piscataway: Institute of Electrical and Electronics Engineers, blz. 3693-3698 6 blz. 8914590

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Open Access
Bestand
Dynamic demand
Price changes
Dynamic pricing
Seller
Heuristics

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

Pers/media

TU/e starts joint research institute with Zhejiang University

Jun Hu, Uzay Kaymak & Yuqing Jiao

2/12/19

1 item van Media-aandacht

Pers / media: Vakinhoudelijk commentaar

IEEE world congress on computational intelligence (WCCI 2016)

U. Kaymak

9/07/14

1 item van Media-aandacht

Pers / media: Vakinhoudelijk commentaar

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

U. 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