Collin Drent
Source: https://www.tue.nl/en/research/researchers/collin-drent Parent: https://www.tue.nl/en/research/research-groups/mathematics/statistics-probability-and-operations-research/stochastic-operations-research
Assistant Professor
Collin Drent
Contact
Department / Institute
Industrial Engineering and Innovation Sciences
Mathematics and Computer Science
Group
Operations Planning Acc. & Control
Stochastic Operations Research
Eindhoven MedTech Innovation Center
Operations Planning Acc. & Control
RESEARCH PROFILE
Collin Drent is an Assistant Professor of Operations Management in the School of Industrial Engineering. His research focuses on personalized decision-making, a paradigm that utilizes population heterogeneity to deliver tailored decisions and improve outcomes. This requires learning from data to determine optimal actions and timing, adapting dynamically to evolving conditions (e.g., patients needing treatment or systems requiring maintenance). Collin leverages tools from operations research, statistics, and machine learning to advance personalized decision-making, with applications in maintenance, manufacturing, and healthcare operations.
His work has been published in leading journals, including Manufacturing & Service Operations Management and the European Journal of Operational Research, and has been recognized by the Willem R. van Zwet Award and Beta Award. His research is currently funded by a VENI early career grant from the Dutch Research Council (NWO). Collin also serves on the board of the Dutch OR Society.
ACADEMIC BACKGROUND
Collin Drent earned his B.Sc. in Industrial Engineering (2015) and M.Sc. in Operations Management and Logistics (2017), both with cum laude honors, from Eindhoven University of Technology. In 2022, he completed his Ph.D. in Applied Mathematics, also with the cum laude distinction (highest honors, top 5%), from the same institution.
Key Publications
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[### Real-Time Integrated Learning and Decision Making for Cumulative Shock Degradation
Manufacturing & Service Operations Management
(2023)
Collin Drent,Joachim J. Arts,Stella Kapodistria](https://research.tue.nl/nl/publications/6b07ba52-0685-4796-be25-ec3a6bed7a53) - [### Condition-Based Production for Stochastically Deteriorating Systems: Optimal Policies and Learning
Manufacturing & Service Operations Management
(2024)
Collin Drent,Joachim J. Arts](https://research.tue.nl/nl/publications/1280b3ac-400d-4fa3-b299-ab151aec0877) - [### Censored lifetime learning
Operations Research Letters
(2020)
Collin Drent,Stella Kapodistria,Onno J. Boxma](https://research.tue.nl/nl/publications/5121c525-1b97-4e69-ab4b-4ab053d90a2d) - [### Optimal data pooling for shared learning in maintenance operations
Operations Research Letters
(2024)
Collin Drent,Geert-Jan J.A.N. van Houtum](https://research.tue.nl/nl/publications/95b02a7b-6cc1-49d9-b5f2-905cd17cdb63) - [### Structured Learning and Decision Making for Maintenance
(2022)
Collin Drent](https://research.tue.nl/nl/publications/a59548de-59dd-4b2f-addf-9e6ded4dd89d)
Prizes & Grants
- [2023
Willem R. van Zwet Award
Operations Planning Acc. & Control](https://research.tue.nl/en/prizes/209c398d-4233-415a-857c-848fc7cfb2c8) - [2023
Beta PhD Thesis Award
Operations Planning Acc. & Control](https://research.tue.nl/en/prizes/41adc6a1-128c-444b-afeb-16154ba730f9) - [2026
From Learning to Healing: Optimization Models for Affordable Precision Medicine
Operations Planning Acc. & Control](https://research.tue.nl/en/prizes/e81c9c2c-b492-4efb-89e9-84d254dec9b7)
Ancillary Activities
- Board member, Dutch OR Society (NGB)