Zilverling

prof.dr.ir. M. van Keulen (Maurice)

Adjunct Professor
EEMCS-CS-DMB
Zilverling 4061
m.vankeulen@utwente.nl
Business card

He received his masters’ degree in computer science at the University of Twente in 1992 and completed his PhD on Formal operation definition in object-oriented databases in 1997. His research targets robustness in data science focusing on two main threats to data science reliability: data quality and undesirable machine learning behaviour. The former is focused on data integration, semi-structured data, natural language processing, and data quality issues involved in these. He co-developed one of the most scalable XML database systems of its time: MonetDB/XQuery. Furthermore, he proposed a data integration approach, called Probabilistic Data Integration, which fundamentally incorporates handling of uncertain and of lesser quality data. He developed a probabilistic database system, called DuBio, which allows the scalable storage, manipulation and management of such uncertain data. On the threat of undesirable machine learning behaviour, he focuses on Explainable AI with the intrinsically explainable deep learning approach ProtoTree as one of the notable results of this. He is secretary of the executive board of the EDBT Association (Extending Database Technology). He is the (co-) author of about 200 publications that accumulated about 2000 citations.

Expertise

  • Computer Science

    • Events
    • Database
    • Models
    • Case Study
    • Data Integration
    • Real World
    • Social Media
    • Machine Learning

Organisations

Publications

2025

Extended MetaLIRS: Meta-learning for Imputation and Regression Selection Model with Explainability for Different Missing Data Mechanisms (2025)International Journal of Data Science and Analytics, 20(6), 5895-5920. Article 102587. Baysal Erez, I., Flokstra, J., Poel, M. & van Keulen, M.https://doi.org/10.1007/s41060-025-00808-wPrivacy-Utility Trade-Off in Healthcare Metadata Sharing and Beyond: A Normative and Empirical Evaluation at Inter and Intra Organizational Levels (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Sohail, S. A.https://doi.org/10.3990/1.9789036568968Privacy-Utility Trade-Off in Healthcare Metadata Sharing and Beyond: A Normative and Empirical Evaluation at Inter and Intra Organizational Levels (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Sohail, S. A.https://doi.org/10.3990/1.9789036568968Machine learning in healthcare: From Petri-dish AI to reality-centric AI (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Pathak, S.https://doi.org/10.3990/1.9789036567367Multi-objective approaches for automated algorithm configuration and selection (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Rook, J.https://doi.org/10.3990/1.9789036567739Three-Dimensional Reconstruction Techniques and the Impact of Lighting Conditions on Reconstruction Quality: A Comprehensive Review (2025)Lights. Rangelov, D., Waanders, S., Waanders, K., van Keulen, M. & Miltchev, R.https://doi.org/10.3390/lights1010001Unsupervised Detection of Postoperative Complications in Home-Monitored Patients: Preliminary Results (2025)In 2025 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE. Fatime, O. D., Waanders, I., Lips, D. J., Nane, G. F., van Keulen, M., Witteveen, A. & John, A.https://doi.org/10.1109/MeMeA65319.2025.11068044Unsupervised Change Point Detection for Early Complication Identification in Post-Surgical Oncology Patients (2025)[Contribution to conference › Abstract] 14th Supporting Health by Technology Conference 2025. Fatime, O. D., Waanders, I., Lips, D. J., Witteveen, A., Nane, G. F., van Keulen, M. & John, A.Cognitive biases, Robo advisor and investment decision psychology: An investor's perspective from New York stock exchange (2025)Acta psychologica, 256. Article 105048. Ahmad, U., van Keulen, M., Briassouli, A. & Saad, M.https://doi.org/10.1016/j.actpsy.2025.105048Grassmannian Low-Rank Representation for Efficient Training of Deep Neural Networks (2025)[Contribution to conference › Poster] Netherlands Conference on Computer Vision, NCCV 2025. Pasande, M., Mocanu, E. & van Keulen, M.

Research profiles

Affiliated study programs

Courses academic year 2025/2026

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 2024/2025

Address

University of Twente

Zilverling (building no. 11), room 4061
Hallenweg 19
7522 NH Enschede
Netherlands

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