• 62
    Citations - based on content available in repository [source: Scopus]
20192025

Content available in repository

Personal profile

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. 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.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure

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