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Content available in repository
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 in the industry. His work includes algorithm development for data analysis and analysis of practical applications for process optimization, through smart industry and autonomous decision systems. Geert's expertise in developing transparent and explainable AI models ensures that these technologies are not only advanced but also reliable and user-friendly for human operators.
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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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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 AccessFile11 Citations (Scopus)153 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 Access80 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 Access15 Citations (Scopus) -
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 AccessFile1 Citation (Scopus)7 Downloads (Pure) -
Evaluating How Explainable AI Is Perceived in the Medical Domain: A Human-Centered Quantitative Study of XAI in Chest X-Ray Diagnostics
Karagoz, G., van Kollenburg, G., Ozcelebi, T. & Meratnia, N., 1 Aug 2024, Trustworthy Artificial Intelligence for Healthcare: Second International Workshop, TAI4H 2024, Jeju, South Korea, August 4, 2024, Proceedings. Chen, H., Zhou, Y., Xu, D. & Vardhanabhuti, V. V. (eds.). Cham: Springer, p. 92-108 17 p. (Lecture Notes in Computer Science (LNCS); vol. 14812).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile7 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
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