R.H. Bemthuis MSc (Rob)

About Me

Rob Bemthuis is a PhD student in the Pervasive Systems Research Group at the University of Twente. He holds a master's degree (2017) and a bachelor's degree in Industrial Engineering and Management from the same university, with a specialization in production and logistics management. Rob's research is part of the Big Data for Resilient Logistics (DATAREL) project, which aims to enhance logistic knowledge through innovative Internet of Things (IoT) and Big Data solutions for detecting emerging behaviors.

In general, Rob's research interests involve multi-agent systems (MAS), simulation of logistic processes, and machine learning.

Besides his research activities, Rob is an active volunteer in the international community of the University of Twente and Enschede. He served as Treasurer of the PhD Network of the University of Twente (P-NUT) in 2019-2020, held a general board member position in 2020-2021, and was elected Treasurer and Vice-President in 2021-2022. He also chaired the organizing committees of the PhD Day 2019, PhD & PDEng Day 2020, and PhD & PDEng Day 2021 at the University of Twente. Additionally, he participates in various national and regional associations and projects.


      Engineering & Materials Science
      Edge Computing
      Fog Computing
      Internet Of Things
      Enterprise Architecture
      Physics & Astronomy
      Resources Management


      Bemthuis, R. H., & Lazarova-Molnar, S. (2022). Discovering Agent Models using Process Mining: Initial Approach and a Case Study. In 2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) (pp. 163-172). IEEE. https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom57177.2022.00028
      Maneschijn, D. G. J. C. , Bemthuis, R. H. , Bukhsh, F. A. , & Iacob, M-E. (2022). A Methodology for Aligning Process Model Abstraction Levels and Stakeholder Needs. In J. Filipe, M. Smialek, A. Brodsky, & S. Hammoudi (Eds.), Proceedings of the 24th International Conference on Enterprise Information Systems (Vol. 1, pp. 137-147). (International Conference on Enterprise Information Systems, ICEIS - Proceedings; Vol. 1). SCITEPRESS. https://doi.org/10.5220/0011029600003179
      Bemthuis, R. H., van Slooten, N., Arachchige, J. , Piest, J. , & Bukhsh, F. (2021). A Classification of Process Mining Bottleneck Analysis Techniques for Operational Support. In F. Wijnhoven, & M. van Sinderen (Eds.), Proceedings of the 18th International Conference on e-Business (ICE-B 2021) (pp. 127-135). SCITEPRESS. https://doi.org/10.5220/0010578601270135
      Piest, J. P. S., Cutinha, J. A. , Bemthuis, R. H. , & Bukhsh, F. A. (2021). Evaluating the Use of the Open Trip Model for Process Mining: An Informal Conceptual Mapping Study in Logistics. In Proceedings of the 23rd International Conference on Enterprise Information Systems (ICEIS) (Vol. 1, pp. 290-296). SCITEPRESS. https://doi.org/10.5220/0010477702900296
      Bemthuis, R. , Mes, M. , Iacob, M. E. , & Havinga, P. J. M. (2021). Using agent-based simulation for emergent behavior detection in cyber-physical systems. In K-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, & R. Thiesing (Eds.), Proceedings of the 2020 Winter Simulation Conference, WSC (pp. 230-241). [9383956] IEEE. https://doi.org/10.1109/WSC48552.2020.9383956

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      Courses Academic Year  2022/2023

      Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

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      University of Twente
      Drienerlolaan 5
      7522 NB Enschede
      The Netherlands

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      University of Twente
      P.O. Box 217
      7500 AE Enschede
      The Netherlands

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