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

Persoonlijk profiel

Quote

“The main role in my research is to model real-world systems in the best-possible way, to be able to obtain high-quality decisions by using the available information. This enables companies to improve their decision at operational, tactical, and strategical levels.” 

Research profile

Murat Firat is an assistant professor in the Information Systems (IS) group at Eindhoven University of Technology (TU/e). His research interests fall into fields Artificial Intelligence and Operations Research. Some of the applications he has worked on are scheduling of manufacturing systems, multi-skilled workforce management, planning in transportation, modeling uncertainty in operations and services under poor quality of information, and designing rule-based systems using expert knowledge.   

In his research, Murat:  

- develops mathematical approaches employing Linear/Integer/Mixed Integer Programming models for operational decisions in scheduling and planning problems,

- develops exact approaches mainly using Dynamic Programming, Column Generation, and Branch-and-Bound type search,

- develops heuristic approaches mainly using Integer Programming, and techniques in Network and Linear Optimization.

- models the uncertainty even when sufficient information is not available

- develops predictive models for high-quality decision making 

Academic background

Murat Firat completed his bachelor study in the Mechanical Engineering of Bogazici University in Istanbul. Then he studied Master of Science in Systems and Control Engineering at the same university. During his master study, he worked as research and teaching assistant at the BUFAIM laboratory,  

Murat obtained his PhD degree from Mathematics and Computer Science Department at TU/e. After completing his PhD study, he worked at France Telecom a post-doctoral researcher. Recently, he started leading the Business Process Intelligence (BPI) research cluster of the IS group. He is a member of the Information Systems Group, School of Industrial Engineering, TU/e and The Beta Research School for Operations Management and Logistics.

Murat publishes regularly in several leading journals and acts as a reviewer for Production and Operations Management, European Journal of Operational Research, Operations Research Letters, OR Spectrum, Annals of Operations Research, Computers and Operations Research, Flexible Services and Manufacturing Journal, International Journal of Production Research, International Journal of Production Economics, and The Service. 

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

  • 1 Soortgelijke profielen

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

Onderzoeksoutput

A state aggregation approach for solving knapsack problem with Deep Reinforcement Learning

Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 25 apr 2020, In : arXiv. 17 blz., 2004.12117.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademic

Open Access
Bestand
  • Column generation based heuristic for learning classification trees

    Firat, M., Crognier, G., Gabor, A. F., Hurkens, C. A. J. & Zhang, Y., apr 2020, In : Computers & Operations Research. 116, 11 blz., 104866.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • 49 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
  • 4 Citaten (Scopus)
    58 Downloads (Pure)

    A reinforcement learning method to select ad networks in waterfall strategy

    Afshar, R. R. A., Zhang, Y., Firat, M. & Kaymak, U., 1 jan 2019, BNAIC/BENELEARN 2019: Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019). Beuls, K., Bogaerts, B. & Bontempi, G. (redactie). CEUR-WS.org, 2 blz. 112. (CEUR Workshop Proceedings; vol. 2491).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
    Bestand

    A reinforcement learning method to select ad networks in Waterfall Strategy

    Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 2019, ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence. van den Herik, J., Steels, L. & Rocha, A. (redactie). SCITEPRESS-Science and Technology Publications, Lda., Vol. 2. blz. 256-265 10 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
    Bestand
  • 5 Citaten (Scopus)
    43 Downloads (Pure)

    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
  • Elsevier Journal IJPR: Outstanding Reviewer Contribution Award 2017

    Murat Firat (Ontvanger), 1 jun 2017

    Prijs: AndersOverigWetenschappelijk

    Bestand

    Outstanding reviewer award of the journal OR Spectrum (2017)

    Murat Firat (Ontvanger), 12 dec 2017

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

    Bestand

    Activiteiten

    • 1 Redactioneel werk

    OR Spectrum (Tijdschrift)

    Murat Firat (Lid redactieraad)
    1 mrt 2019

    Activiteit: Types publicaties van collegiale toetsing en redactioneel werkRedactioneel werkWetenschappelijk

    Cursussen

    Data Challenge 2

    1/09/17 → …

    Cursus

    Scriptie

    Accurate response to fluctuating demand with regard to promotions in the online retailing industry

    Auteur: Kiemeneij, N., 31 jan 2018

    Begeleider: Atan, Z. (Afstudeerdocent 1), Mutlu, N. (Afstudeerdocent 2) & Firat, M. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Bestand

    A data-driven approach to reduce the energy consumption of buildings

    Auteur: van Rijn, F., 25 mrt 2019

    Begeleider: Kaymak, U. (Afstudeerdocent 1) & Firat, M. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Bestand

    An empirical study of the impact of self-management and digital communication on diabetes patient's health

    Auteur: Bos, M., 29 jun 2018

    Begeleider: Firat, M. (Afstudeerdocent 1), Van Gorp, P. (Afstudeerdocent 2) & Eshuis, H. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Bestand

    A quantitative approach to the engineering change process to realize performance improvements from both lead time and cost perspective

    Auteur: van Dinther, B., 30 nov 2017

    Begeleider: Martagan, T. (Afstudeerdocent 1), Atan, Z. (Afstudeerdocent 2) & Firat, M. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Bestand

    Assessing the validity of the simulation of manufacturing processes in BPM tools

    Auteur: Olde Hampsink, B., 30 apr 2018

    Begeleider: Dijkman, R. (Afstudeerdocent 1), Firat, M. (Afstudeerdocent 2) & Grefen, P. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Bestand