Personal profile
Quote
To optimize collaborations with intelligent systems, those systems should be understandable by design.
Research profile
Dr. Geert van Kollenburg is a multidisciplinary researcher specializing in data-driven process analysis, working on the integration of artificial intelligence, data analysis, and process control.
He has also received multiple subsidies for developing a medical sensor for the objective detection of pressure ulcers.
Academic background
With a multidisciplinary background including a BSc in psychology, MSc and PhD in statistics, and a postdoc in chemometrics and machine learning, he is uniquely positioned to tackle complex, real-world problems with a holistic approach by working together with a variety of researchers.
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):
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SDG 2 Zero Hunger
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SDG 3 Good Health and Well-being
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SDG 6 Clean Water and Sanitation
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SDG 7 Affordable and Clean Energy
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SDG 12 Responsible Consumption and Production
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Collaborations and top research areas from the last five years
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Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data
van Kollenburg, G. (Corresponding author), Bouman, R., Offermans, T., Gerretzen, J., Buydens, L., van Manen, H.-J. & Jansen, J., Nov 2021, In: Computers and Chemical Engineering. 154, 15 p., 107466.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile13 Link opens in a new tab Citations (Scopus)225 Downloads (Pure) -
Integration of handheld NIR and machine learning to "Measure & Monitor" chicken meat authenticity
Parastar, H., van Kollenburg, G. (Corresponding author), Weesepoel, Y., van den Doel, A., Buydens, L. & Jansen, J., Jun 2020, In: Food Control. 112, 11 p., 107149.Research output: Contribution to journal › Article › Academic › peer-review
Open Access100 Link opens in a new tab Citations (Scopus) -
Low-cost handheld NIR spectroscopy for identification of organic solvents and low-level quantification of water contamination
van Kollenburg, G. H. (Corresponding author), van Manen, H.-J. (Corresponding author), Admiraal, N., Gerretzen, J. & Jansen, J. J., 1 Feb 2021, In: Talanta. 223, Pt 2, p. 121865 4 p., 121865.Research output: Contribution to journal › Article › Academic › peer-review
Open Access20 Link opens in a new tab Citations (Scopus) -
A review on sample subset selection methods for multivariate modelling
Bian, X., Yang, W., Zhang, K., Zhang, Q., Tian, W. (Corresponding author) & van Kollenburg, G. (Corresponding author), 15 Oct 2025, In: Chemometrics and Intelligent Laboratory Systems. 265, 11 p., 105493.Research output: Contribution to journal › Review article › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)3 Downloads (Pure) -
Coffee, climate, community: A holistic examination of specialty coffee supply chains in Rwanda
van Kollenburg, G. (Corresponding author) & van Weert, P., Dec 2024, In: Sustainable Development. 32, 6, p. 5948-5965 18 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Link opens in a new tab Citations (Scopus)263 Downloads (Pure)
Datasets
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Data, software and scripts related to the Process PLS methodology manuscript
van Kollenburg, G. (Owner), Offermans, T. (Contributor) & Bouman, R. (Contributor), Mendeley Data, 22 Oct 2021
DOI: 10.17632/9x9h7fr4kn
Dataset
Courses
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Fundamentals of financial and management accounting
Tan, L., Yazdani Esfidvajani, A., van Kollenburg, G., Nasiri, A., Maccarini, N. & Hanssen, M. 1/09/13 → 31/08/26
Course
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Modeling and analysis of manufacturing systems
van Kollenburg, G., Adan, I. J. B. F., Fecarotti, C., Dang, Q. V. & Mohammadi, M. 1/09/05 → 31/08/26
Course
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Press/Media
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Study Findings on Water Supply Published by Researchers at Radboud University (Monitoring pollution pathways in river water by predictive path modelling using untargeted GC-MS measurements)
17/07/23
1 item of Media coverage
Press/Media: Expert Comment
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Integration of handheld NIR and machine learning to “Measure & Monitor” chicken meat authenticity
20/02/20
1 item of Media coverage
Press/Media: Expert Comment