Photo Kerem Kayabay

Dr. Kerem Kayabay

Research Scientist

Dr. Kerem Kayabay received his bachelor's degree in computer science and master's degree in business administration from Bilkent University in Ankara, Turkey. He then received his Ph.D. in Information Systems from Middle East Technical University, where he worked as a research assistant, academic advisor, and postdoctoral researcher. Before joining HLRS, Kayabay worked at the TRUBA HPC Centre as part of the EuroCC project to attract and support the industry toward European supercomputers in high-performance data analysis and artificial intelligence.

He is currently working on implementing AI user support as part of the SiVeGCS project. His other research interests include data science, big data, data-driven organizations, and technology management.


[ 2022 ] [ 2021 ] [ 2020 ] [ 2019 ] [ 2017 ]

2022 [ to top ]

  • 1.
    Gökalp, M.O., Gökalp, E., Kayabay, K., Gökalp, S., Koccyiugit, A., Eren, P.E.: A process assessment model for big data analytics. Computer Standards & Interfaces. 80, 103585 (2022).
  • 2.
    Kayabay, K., Gökalp, M.O., Gökalp, E., Eren, P.E., Koçyiğit, A.: Data science roadmapping: An architectural framework for facilitating transformation towards a data-driven organization. Technological Forecasting and Social Change. (2022).
  • 3.
    Nazliel, K., Kayabay, K., Gokalp, M.O., Gokalp, E., Eren, E.: Data Science Technology Selection: Development of a Decision-Making Approach. 2022 IEEE Technology and Engineering Management Conference (TEMSCON EUROPE). IEEE (2022).
  • 4.
    Kayabay, K., Sari, O., Demirtas, M., Bostan, S., Ortakaya, B.: Development of a Maturity Assessment Tool to Improve SME HPC Capabilities. Zenodo (2022).
  • 5.
    Gökalp, M.O., Gökalp, E., Kayabay, K., Koçyiğit, A., Eren, P.E.: The development of the data science capability maturity model: a survey-based research. Online Information Review. (2022).

2021 [ to top ]

  • 1.
    Gökalp, M.O., Kayabay, K., Gökalp, E., Koccyiugit, A., Eren, P.E.: Assessment of process capabilities in transition to a data-driven organisation: A multidisciplinary approach. IET Software. (2021).
  • 2.
    Gökalp, M.O., Gökalp, E., Kayabay, K., Koccyiugit, A., Eren, P.E.: Data-driven manufacturing: An assessment model for data science maturity. Journal of Manufacturing Systems. 60, 527–546 (2021).
  • 3.
    Gökalp, E., Kayabay, K., Gökalp, M.O.: Leveraging Digital Transformation Technologies to Tackle COVID-19: Proposing a Privacy-First Holistic Framework. In: Arpaci, I., Al-Emran, M., A. Al-Sharafi, M., und Marques, G. (Hrsg.) Emerging Technologies During the Era of COVID-19 Pandemic. S. 149–166. Springer International Publishing, Cham (2021).

2020 [ to top ]

  • 1.
    Kayabay, K., Gokalp, M.O., Gokalp, E., Eren, P.E., Kocyigit, A.: Data Science Roadmapping: Towards an Architectural Framework. 2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD). IEEE (2020).
  • 2.
    Gökalp, M.O., Kayabay, K., Gökalp, E., Koccyiugit, A., Eren, P.E.: Towards a Model Based Process Assessment for Data Analytics: An Exploratory Case Study. Communications in Computer and Information Science. S. 617–628. Springer International Publishing (2020).

2019 [ to top ]

  • 1.
    Kayabay, K., Gokalp, M., Eren, P., Kocyigit, A.: A Workflow and Cloud Based Service-Oriented Architecture for Distributed Manufacturing in Industry 4.0 Context. Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018. 88–92 (2019).
  • 2.
    Gökalp, M.O., Kayabay, K., Zaki, M., Koçyiğit, A., Eren, P.E., Neely, A.: Open-Source Big Data Analytics Architecture for Businesses. 2019 1st International Informatics and Software Engineering Conference (UBMYK). S. 1–6 (2019).

2017 [ to top ]

  • 1.
    Akyol, M., G"okalp, M., Kayabay, K., Eren, P., Ko?yi?it, A.: A context aware notification architecture based on distributed focused crawling in the big data era. Lecture Notes in Business Information Processing. 299, 29–39 (2017).
  • 2.
    Gokalp, M., Kayabay, K., Akyol, M., Eren, P., Kocyigit, A.: Big data for Industry 4.0: A conceptual framework. Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016. 431–434 (2017).