R.H. Bemthuis MSc (Rob)

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

# Clouds
# Edge Computing
# Fog Computing
# Industry
# Internet Of Things
# Logistics

Mathematics

# Enterprise Architecture

Physics & Astronomy

# Resources Management

Bemthuis, R. H. , Wang, W. , Iacob, M. E. , & Havinga, P. J. M. (2023). Business rule extraction using decision tree machine learning techniques: A case study into smart returnable transport items. Procedia computer science, 220, 446-455. https://doi.org/10.1016/j.procs.2023.03.057

Wijnhoven, F. , Hoffmann, P. , Bemthuis, R., & Boksbeld, J. (2023). Using process mining for workarounds analysis in context: Learning from a small and medium-sized company case. International Journal of Information Management Data Insights, 3(1), [100163]. https://doi.org/10.1016/j.jjimei.2023.100163

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

Mijuskovic, A. , Chiumento, A. , Bemthuis, R. , Aldea, A. , & Havinga, P. (2021). Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification. Sensors (Switzerland), 21(5), [1832]. https://doi.org/10.3390/s21051832

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

Mijuskovic, A. , Ullah, I. , Bemthuis, R. , Meratnia, N. , & Havinga, P. J. M. (2021). Comparing Apples and Oranges in IoT context: A deep dive into methods for comparing IoT platforms. IEEE Internet of Things Journal, 8(3), 1797-1816. [9169714]. https://doi.org/10.1109/JIOT.2020.3016921

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

Bemthuis, R. , Iacob, M-E. , & Havinga, P. (2020). A Design of the Resilient Enterprise: A Reference Architecture for Emergent Behaviors Control. Sensors (Switzerland), 20(22), [6672]. https://doi.org/10.3390/s20226672

View my profile

Bachelor

Master

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.