• 2 Citations
  • 1 h-Index
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Personal profile

Personal profile

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. 

Education/Academic qualification

Master, University of Twente

5 Sep 201627 Nov 2018

Fingerprint Dive into the research topics where Martijn Koot is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Logistics Engineering & Materials Science
Industry Engineering & Materials Science
Decision making Engineering & Materials Science
Planning Engineering & Materials Science
Pattern recognition Engineering & Materials Science
Data mining Engineering & Materials Science
Learning systems Engineering & Materials Science
Visualization Engineering & Materials Science

Research Output 2019 2019

  • 2 Citations
  • 1 h-Index
  • 1 Chapter
  • 1 Conference contribution
  • 1 Paper
2 Citations (Scopus)
9 Downloads (Pure)

An Agent-Based Process Mining Architecture for Emergent Behavior Analysis

Bemthuis, R. H., Koot, M., Mes, M. R. K., Bukhsh, F. A., Iacob, M. & Meratnia, N., 21 Nov 2019, 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW). IEEE, Vol. 23. p. 54-64 11 p. 8907303

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Multi agent systems
Industrial plants
Information systems
Decision making

Simulation solution validation for an integrated emergency post

Mes, M. & Koot, M., Dec 2019, (Accepted/In press).

Research output: Contribution to conferencePaper

Towards a framework for smart resilient logistics

Koot, M., 21 Nov 2019, 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW). IEEE, Vol. 23. p. 202-207 6 p. (IEEE International Enterprise Distributed Object Computing Conference workshops).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Pattern recognition
Data mining
Learning systems

Activities 2019 2019

  • 1 Participating in a conference, workshop, ...


Rob Bemthuis (Participant), Martijn Koot (Participant)
19 Mar 201920 Mar 2019

Activity: Participating in or organising an eventParticipating in a conference, workshop, ...