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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 Verdiep u in de onderzoeksgebieden waarop Uzay Kaymak actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

  • 3 Soortgelijke profielen

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Projecten

Onderzoeksoutput

A robust inner ensemble sequential feature selection method

Chen, P., Wilbik, A. M., Lu, X., Duan, H. & Kaymak, U., 5 mrt 2020, (In voorbereiding).

Onderzoeksoutput: WerkdocumentAcademic

  • 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

  • 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
  • 1 Citaat (Scopus)
    35 Downloads (Pure)

    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
  • 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
  • 4 Citaten (Scopus)
    51 Downloads (Pure)

    Prijzen

    Best Industrial Paper Award

    Herbert van Leeuwen (Ontvanger), Yingqian Zhang (Ontvanger), Kalliopi Zervanou (Ontvanger), Shantanu Mullick (Ontvanger), Uzay Kaymak (Ontvanger) & Tom de Ruijter (Ontvanger), 2020

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

    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
  • Activiteiten

    • 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

    Knipsels

    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