Zilverling

dr.ir. R.H. Bemthuis (Rob)

Universitair docent
EEMCS-CS-PS
Zilverling 5010
r.h.bemthuis@utwente.nl
+31534897009
Visitekaartje

Expertises

  • Computer Science

    • Process Mining
    • Models
    • Process Mining Technique
    • Case Study
    • Large Language Model
    • Simulation Mode
    • Process Model
    • Data Mining

Organisaties

Publicaties

2026

Predicting the future of healthcare costs: A review of healthcare contract cost forecasting for hospital management (2026)International Journal of Data Science and Analytics, 22. Article 177 (E-pub ahead of print/First online). Klunder, L. A., Guericke, D., Bemthuis, R. H., Koenderink, M. & Machado, M. R.https://doi.org/10.1007/s41060-026-01138-1Large Language Models for Analyzing Enterprise Architecture Debt in Unstructured Documentation (2026)[Working paper › Preprint]. ArXiv.org. Pagels, C., Hacks, S. & Bemthuis, R. H.https://doi.org/10.48550/arXiv.2604.00046Pervasive Intelligent Diagnostics for High-Tech Systems (2026)In Sensor-Based Activity Recognition and Artificial Intelligence: 10th International Workshop, iWOAR 2025, Enschede, The Netherlands, September 18–19, 2025, Proceedings (pp. 343-352) (Lecture notes in computer science; Vol. 16292). Springer. Bemthuis, R., Nägele, T. & van der Struijf, C.https://doi.org/10.1007/978-3-032-13312-0_20Designing a Predictive Digital Twin Architecture for Smart Bridge Maintenance (2026)In Enterprise Design, Operations, and Computing. EDOC 2025 Workshops (pp. 279--295). Khoshraftar, A. S., Bemthuis, R., van der Zwaag, B. J. & Le, D. V.https://doi.org/10.1007/978-3-032-16234-2_23Evaluating LLM-Based Process Explanations Under Progressive Behavioral-Input Reduction (2026)In Enterprise Design, Operations, and Computing. EDOC 2025 Workshops. van Oerle, P., Bemthuis, R. H. & Bukhsh, F. A.https://doi.org/10.1007/978-3-032-16234-2_10Impact and Implications of Generative AI for Enterprise Architects in Agile Environments: A Systematic Literature Review (2026)In Enterprise Design, Operations, and Computing. EDOC 2025 Workshops (pp. 53--69). Kooy, S. J., Piest, J. P. S. & Bemthuis, R. H.https://doi.org/10.1007/978-3-032-16234-2_4Large Language Models for Analyzing Enterprise Architecture Debt in Unstructured Documentation (2026)In SAC'26: Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing (pp. 815-822). Association for Computing Machinery (ACM) (Accepted/In press). Pagels, C., Hacks, S. & Bemthuis, R. H.https://doi.org/10.1145/3748522.3779725Process Mining with Context-Aware Slicing: An Initial Approach (2026)In SAC'26: Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing (pp. 848-850). Association for Computing Machinery (ACM) (Accepted/In press). Kuijpers, F., Andreev, V. & Bemthuis, R.https://doi.org/10.1145/3748522.3779712Surrogate Case Identifier Rules for Construction Site Hoists (2026)Procedia computer science, 277, 1150-1160. Steenbergen, E., Bemthuis, R. & Bukhsh, F.https://doi.org/10.1016/j.procs.2026.02.155Towards Standardized Manufacturing Event Logs for Process Mining using Open Manufacturing Model (2026)Procedia computer science, 277, 1487-1497. Bemthuis, R. & Anbalagan, S. N.https://doi.org/10.1016/j.procs.2026.02.187

Onderzoeksprofielen

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