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M. Koot MSc (Martijn)

PhD Candidate

About Me

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

Engineering & Materials Science
Big Data
Data Analytics
Decision Making
Internet Of Things
Logistics
Planning
Supply Chains
Earth & Environmental Sciences
Data Center

Publications

Recent
Koot, M. , Iacob, M-E. , & Mes, M. R. K. (2021). A Reference Architecture for IoT-Enabled Dynamic Planning in Smart Logistics. In M. La Rosa, S. Sadiq, & E. Teniente (Eds.), Advanced Information Systems Engineering - 33rd International Conference, CAiSE 2021, Proceedings: 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings (pp. 551-565). (Lecture Notes in Computer Science; Vol. 12751). Springer. https://doi.org/10.1007/978-3-030-79382-1_33
Koot, M. (2019). Towards a framework for smart resilient logistics. In 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) (Vol. 23, pp. 202-207). (IEEE International Enterprise Distributed Object Computing Conference workshops). IEEE. https://doi.org/10.1109/EDOCW.2019.00043
Bemthuis, R. H. , Koot, M. , Mes, M. R. K. , Bukhsh, F. A. , Iacob, M-E. , & Meratnia, N. (2019). An Agent-Based Process Mining Architecture for Emergent Behavior Analysis. In 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) (pp. 54-64). [8907303] (Proceedings IEEE International Enterprise Distributed Object Computing Workshop (EDOCW); Vol. 23). IEEE. https://doi.org/10.1109/EDOCW.2019.00022

UT Research Information System

Google Scholar Link

Affiliated Study Programmes

Bachelor

Master

Courses Academic Year  2021/2022

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.
 

Courses Academic Year  2020/2021

Contact Details

Visiting Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn (building no. 10), room 3301
Hallenweg 17
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn  3301
P.O. Box 217
7500 AE Enschede
The Netherlands

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