Rob Bemthuis is a postdoctoral researcher in the Pervasive Systems Research Group at the University of Twente. He holds a master's degree 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 about augmenting logistics knowledge through innovative Internet of Things (IoT) and Big Data solutions for detecting emerging behaviors. Rob was a visiting scholar in the University of Southern Denmark and Karlsruhe Institute of Technology. Currently, he is coordinating and researching within a sustainable construction logistics project (ECOLOGIC).Â
In general, Rob's research interests involve multi-agent systems (MAS), simulation of logistic processes, and machine learning, with a special attention to IoT-based solutions.Â
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.
Expertise
Computer Science
- Process Mining
- Models
- Case Study
- Process Mining Technique
- Process Model
- Simulation Mode
- Events
- Design
Organisations
Publications
Research profiles
Affiliated study programs
Courses academic year 2023/2024
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 2022/2023
Current projects
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ECOLOGIC
Emission COntrol and Logistics Optimization for Green Infrastructure Construction
The research project âECOLOGIC â Emission Control and Logistics Optimization for Green Infrastructure Constructionâ aims to significantly improve the sustainability of the Dutch construction logistics sector by developing reliable data-driven insights and advanced analysis techniques (IoT and AI), through a real-time Carbon Digital Twin (DT), evaluated and demonstrated in two Living Labs. Through anticipatory and adaptive logistics planning, the emission footprint will be minimized while operations are optimized. The approach consists of the "Triple A": Acquire (collect and analyze data), Anticipate (predict), and Adapt (adjust to situations). The principle of federated data sharing is applied, where users only receive feedback on matters they can control themselves.
Finished projects
In the press
- Bitterballentafel: Wat is de waarde van gedeelde data voor het optimaliseren van je planning? (2024)
- Minder schade door logistieke ontwrichting (2023) /Â Less damage from logistics disruptions (2024)
- Kick-off Onderzoeksproject ECOLOGIC (2023)
- DataREL: De strijd tegen logistieke disrupties (2023) (link2)
- DATAREL: project update (2022)
- âDe mensen achter Countdownâ â Rob Bemthuis (2021)
- PhD & PDEng Day 2019 - University of Twente (2019)
News on utwente.nl
- Dr.ir. Rob Benthuis defends his PhD (2024)
- âIâve faced the nearly stereotypical PhD experience: mental health challengesâ (2021)
- PhD & PDEng Day explores the role of scientists in âpost-fact societyâ (2021)
- P-NUT: âThere should be serious consequences to misconductâ (2021)
- PhD Day: âWe want to be honest about how things really are' (2019)
- Best Doctoral Consortium Paper Award at the IEEE EDOC 2019 conference (2019)
- Poster nomination for Rob Bemthuis at ICT.Open (2019)
- Commit2Data project, Datarel, at ICT Open 2019 (2019)
- Succes UT-studenten bij Griekse summerschool (2016)
Address
![](https://1348661504.rsc.cdn77.org/.uc/iff4689c40103f3eb1100f2c8f403e85637f06a7b284b0801e3bc0268018041/zilverling.jpg)
University of Twente
Zilverling (building no. 11), room 5010
Hallenweg 19
7522 NH Enschede
Netherlands
University of Twente
Zilverling 5010
P.O. Box 217
7500 AE Enschede
Netherlands