Projecten per jaar
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.
Expertise gerelateerd aan duurzame ontwikkelingsdoelstellingen van de VN
In 2015 stemden de VN-lidstaten in met 17 wereldwijde duurzame ontwikkelingsdoelstellingen (Sustainable Development Goals, SDG's) om armoede te beëindigen, de planeet te beschermen en voor iedereen welvaart te garanderen. Het werk van deze persoon draagt bij aan de volgende duurzame ontwikkelingsdoelstelling(en):
Vingerafdruk
- 1 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
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DiaGame: Serious and personalized game for self-management of diabetes
van Riel, N. A. W., de Vries, R., Ferreira de Carvalho, D., Hilbers, P. A. J., Van Gorp, P., Kaymak, U., Haak, H. R., Wouters-van Poppel, P. & Reinders, E.
1/01/19 → 31/12/25
Project: Onderzoek direct
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DMCoach: DMCoach
IJsselsteijn, W. A., Van Gorp, P. & Kaymak, U.
1/01/19 → 31/12/19
Project: Onderzoek direct
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GOAL: Gamification for Overweight prevention and Active Lifestyle (GOAL)
Van Gorp, P., Nuijten, R. C. Y., Kaymak, U., Le Blanc, P. M., Kemperman, A. D. A. M. & van den Berg, P. E. W.
1/02/18 → 31/10/21
Project: Onderzoek direct
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Eurostars E! 11582 PADS (Programmatic Advertising Decision System)
Kaymak, U. & Refaei Afshar, R.
1/10/17 → 28/02/22
Project: Onderzoek direct
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An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing
Refaei Afshar, R., Rhuggenaath, J., Zhang, Y. & Kaymak, U., 1 jun. 2023, In: IEEE Transactions on Artificial Intelligence. 4, 3, blz. 428-437 10 blz.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand1 Citaat (Scopus)69 Downloads (Pure) -
Effect of calculating Pointwise Mutual Information using a Fuzzy Sliding Window in Topic Modeling
Rijcken, E., Zervanou, K., Spruit, M., Scheepers, F. & Kaymak, U., 2023, (Ingediend). 6 blz.Onderzoeksoutput: Bijdrage aan congres › Paper › Academic
Bestand30 Downloads (Pure) -
The DiaGame Study: Free-Living Data Collection in Patients with Diabetes Using Wearable Devices
de Vries, R., van Riel, N. A. W., Reinders, E., Ferreira de Carvalho, D., Cruts, E., Haak, H. R., Hilbers, P. A. J., Kaymak, U., Van Gorp, P. & Wouters-van Poppel, P., 16 okt. 2023, In: Nederlands Tijdschrift voor Diabetologie. 21Vertaalde titel van de bijdrage :De DiaGame Studie: Gegevensverzameling buiten het ziekenhuis in patiënten met diabetes door middel van draagbare technologie Onderzoeksoutput: Bijdrage aan tijdschrift › Meeting Abstract › Academic
Open Access -
Towards Interpreting Topic Models with ChatGPT
Rijcken, E., Scheepers, F., Zervanou, K., Spruit, M., Mosteiro, P. & Kaymak, U., 2023, (Geaccepteerd/In druk). 7 blz.Onderzoeksoutput: Bijdrage aan congres › Paper › Academic
Open AccessBestand573 Downloads (Pure) -
A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability
Rijcken, E., Scheepers, F., Mosteiro, P., Zervanou, K., Spruit, M. & Kaymak, U., 24 jan. 2022, 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Institute of Electrical and Electronics Engineers, 8 blz. 9660139Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand4 Citaten (Scopus)233 Downloads (Pure)
Prijzen
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Best Industrial Paper Award
van Leeuwen, Herbert (Ontvanger), Zhang, Yingqian (Ontvanger), Zervanou, Kalliopi (Ontvanger), Mullick, Shantanu (Ontvanger), Kaymak, Uzay (Ontvanger) & de Ruijter, Tom (Ontvanger), 2020
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
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Best Student Paper Award
Refaei Afshar, Reza (Ontvanger), Zhang, Yingqian (Ontvanger), Firat, Murat (Ontvanger) & Kaymak, Uzay (Ontvanger), 21 feb. 2019
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Bestand
Activiteiten
- 2 Aangemelde presentatie
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Inaugural speech, Rotterdam: Erasmus Universiteit
Uzay Kaymak (Spreker)
6 mrt. 2009Activiteit: Types gesprekken of presentaties › Aangemelde presentatie › Wetenschappelijk
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ERIM Conference, 2001-11-16, Rotterdam
Uzay Kaymak (Spreker)
16 nov. 2001Activiteit: Types gesprekken of presentaties › Aangemelde presentatie › Wetenschappelijk
Cursussen
Knipsels
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-Eindhoven University of Technology: Big data in the clinical laboratory: a win-win situation
Arjen-Kars Boer, Volkher Scharnhorst & Uzay Kaymak
13/04/21
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar