BMS-HBE-IEBIS

Martijn Koot is a PhD Candidate within the department Industrial Engineering and Business Information Systems at the University of Twente, Enschede. He holds a BSc and MSc degree in Industrial Engineering & Management from the University of Twente. His current research is devoted to improve logistics decision making by exploiting the enormous data sets originating from IoT networks in combination with Big Data Analytics. Besides his research activities, Martijn also supports various BSc courses related to research methodology and databases. 

Expertise

  • Computer Science

    • Internet of Things
    • Supply Chain
    • Decision-Making
    • Big Data Analytics
    • Models
    • Simulation
    • Reference Architecture
    • Contexts

Organisations

Publications

2024
Condition-Based Logistics: Internet of Things Solutions for Resilient Supply Chains. University of Twente. Koot, M.https://doi.org/10.3990/1.9789036561075Building an Ontological Bridge Between Supply Chain Resilience and IoT ApplicationsIn Enterprise Design, Operations, and Computing: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings (pp. 79-96). Springer. Koot, M., Mes, M. R. K. & Iacob, M. E.https://doi.org/10.1007/978-3-031-46587-1_5
2021
2020
2019
An Agent-Based Process Mining Architecture for Emergent Behavior AnalysisIn 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW), Article 8907303 (pp. 54-64). IEEE. Bemthuis, R. H., Koot, M., Mes, M. R. K., Bukhsh, F. A., Iacob, M.-E. & Meratnia, N.https://doi.org/10.1109/EDOCW.2019.00022Towards a framework for smart resilient logisticsIn 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW), Article 8907340 (pp. 202-207). IEEE. Koot, M.https://doi.org/10.1109/EDOCW.2019.00043

Research profiles

Address

University of Twente

Ravelijn (building no. 10), room 3301
Hallenweg 17
7522 NH Enschede
Netherlands

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Organisations

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