Organisation profile
Introduction / mission
The visualization cluster focuses on the development of new methods and techniques to explore and present large data sets. The focus is on data visualization and visual analytics. We study how to provide insight in large, heterogeneous data sets, such as combinations of multivariate data, high dimensional data, sophisticated imaging data, network data, event data, and geospatial data, all often time varying. We investigate how to incorporate methods from statistics and AI to support human analysis, understanding, and decision making. Visual analytics for AI can provide more effective and efficient model development, and more trust and confidence on AI based decisions.
We develop novel approaches that go from fundamental research to application oriented visual designs. We cooperate with specialists from a variety of application domains, including health care, machine learning, bioinformatics, forensics, and fraud detection; both from academia and industry (e.g., Philips).
Group members
Looking for a master project: https://vis.win.tue.nl/
The cluster is fomed by three groups:
- Visual Analytics led by Prof. Anna Vilanova
- Visual Analytics for Data Science led by Fernando Paulovich
- Visualization led by Prof. Jack van Wijk
Highlighted phrase
Developing new methods and techniques to explore and present large data sets
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. Our work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 16 Peace, Justice and Strong Institutions
Fingerprint
Collaborations and top research areas from the last five years
Profiles
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Alessio Arleo
- Mathematics and Computer Science, Visualization
- Mathematics and Computer Science, Visual Analytics for Data Science - Assistant Professor
Person: UD : Assistant Professor
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Bram C.M. Cappers, MSc
- Mathematics and Computer Science, Visual Analytics - University Lecturer
- EIRES Research - University Lecturer
- Mathematics and Computer Science, Visual Analytics for Data Science - University Lecturer
Person: OWP : University Teacher / Researcher
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Maxime Chamberland
- Mathematics and Computer Science, Visualization
- Mathematics and Computer Science, Visual Analytics - Assistant Professor
Person: UD : Assistant Professor
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Cluster-Based Random Forest Visualization and Interpretation
Sondag, M., Meinecke, C., Collaris, D., von Landesberger, T. & van den Elzen, S., Jan 2026, In: IEEE Transactions on Visualization and Computer Graphics. 32, 1, p. 626-636 11 p., 11271271.Research output: Contribution to journal › Article › Academic › peer-review
1 Link opens in a new tab Citation (Scopus) -
Evaluating the utility of feature importance visualizations in SHAP
Collaris, D. (Corresponding author-nrf), Liang, Y., Willemsen, M. C., Chatzimparmpas, A. & van Wijk, J. J., 6 Apr 2026, (E-pub ahead of print) In: Information Visualization. XXResearch output: Contribution to journal › Article › Academic › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
Exploring three-dimensional reconstruction with Neural Radiance Field (NeRF) for coronary roadmap navigation and view-planning in X-ray coronary angiography: A feasibility study
Vermeer, A. J. E. (Corresponding author-nrf), Maas, K. W. H., McCaughan, V. M., Ruijters, D., Pezzotti, N., Vlaar, P. J. J., Tonino, P. A. L., van de Vosse, F. N., Vilanova, A. & Veer, van 't, M., Jul 2026, In: Computer Methods and Programs in Biomedicine. 281, 10 p., 109349.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Downloads (Pure)
Datasets
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visml/neo_force_scheme: Eurovis Submission
Luo, Q. (Creator), Christino, L. (Creator) & Paulovich, F. (Creator), Zenodo, 30 Nov 2022
DOI: 10.5281/zenodo.7379477, https://zenodo.org/record/7379477
Dataset
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RoA: visual analytics support for deconfounded causal inference in observational studies
Dingen, D. (Creator), Bakkes, T. (Contributor), van 't Veer, M. (Contributor), Korsten, H. H. M. (Contributor), Bouwman, R. A. (Contributor) & van Wijk, J. J. (Contributor), Zenodo, 19 May 2023
DOI: 10.5281/zenodo.11518056, https://zenodo.org/records/11518056
Dataset
Prizes
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2007 Visualization Technical Achievement Award
van Wijk, J. J. (Recipient), 28 Oct 2007
Prize: Other › Discipline related › Scientific
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2021 VGTC Visualization Lifetime Achievement Award
van Wijk, J. J. (Recipient), 25 Oct 2021
Prize: Other › Discipline related › Scientific
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Alexander-Graham-Bell Post-graduate Scholarship
Chamberland, M. (Recipient), 2014
Prize: Other › Fellowships & memberships › Scientific
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SOFI: A Sparseness-Optimized Feature Importance Method
Grau Garcia, I. (Invited speaker)
4 Jul 2024Activity: Talk or presentation types › Invited talk › Scientific
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Detecting microstructural deviations in individuals with deep diffusion MRI tractometry
Chamberland, M. (Speaker)
2022Activity: Talk or presentation types › Invited talk › Scientific
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Detecting microstructural deviations in individuals with deep diffusion MRI tractometry
Chamberland, M. (Speaker)
2022Activity: Talk or presentation types › Invited talk › Scientific
Courses
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Computer Graphics
Chamberland, M., van de Wetering, H. M. M., Jalba, A. C., Hendriks, T. & Vink, R. 1/09/12 → 31/08/26
Course
Press/Media
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Visualization-Empowered Human-in-the-Loop AI: Dennis Collaris on His ELLIIT Focus Period Experience
Collaris, D.
18/06/25
1 Media contribution
Press/Media: Public Engagement Activities
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RATE Analytics: Human-in-the-loop
Collaris, D.
22/10/24
1 Media contribution
Press/Media: Public Engagement Activities
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Studies from Dalhousie University Further Understanding of Networks (Neural Network Training Fingerprint: Visual Analytics of the Training Process In Classification Neural Networks)
3/07/23
1 item of Media coverage
Press/Media: Expert Comment
Student theses
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3D fingerprint detection in ancient museum sculptures from CT data
Sanders, S. J. C. (Author), van Liere, R. (Supervisor 1) & Jalba, A. C. (Supervisor 2), 25 Nov 2019Student thesis: Master
File -
A Coherent Temporal Visualization of Algorithm Dynamics over Large Graphs
Morra, O. H. (Author), van de Wetering, H. M. M. (Supervisor 1), 2021Student thesis: Bachelor
File -
A comparative study on Unsupervised Deep Learning Methods for X-Ray Image denoising with Multi-Image Self2Self and Single Frequency Denoising
Sözen, Ç. (Author), Tavakol, M. (Supervisor 1), Zhaorui, Y. (External coach) & Vilanova, A. (Supervisor 2), 14 Oct 2022Student thesis: Master