
About
Anna Vilanova is a Full Professor in Visual Analytics at the Department of Mathematics and Computer Science, Eindhoven University of Technology (TU/e), and is associated with the Electrical Engineering department's Signal Processing Systems. Previously, she served as Associate Professor at TU Delft (2013-2019) and Assistant Professor at TU/e (2002-2013). Her research focuses on Visual Analytics for high-dimensional data, explainable AI, and biomedical applications including Diffusion Weighted Imaging, 4D Flow, and Pangenomics.
Education:
- Doctorate in Computer Graphics & Visualization (2001)
- Master in Computer Science (1997), Universitat Politècnica de Catalunya
Research Highlights: Vilanova leads work on Visual Analytics systems for biomedical data, with recent publications in Diffusion MRI modeling, Tractography visualization, Explainable AI frameworks, and Pangenomic variant analysis. Her work bridges dimensionality reduction, uncertainty visualization, and medical imaging applications.
Scientific Contributions:
- NWO-Veni grant (2005): "Visualization of global tensor information for diffusion tensor imaging"
- NWO-Aspasia grant (2013)
- Best Poster Award EuroVis (2025)
- Best Demo/Poster Awards (2022)
Leadership & Service: Vilanova serves on the IEEE VIS Steering Committee, was EUROGRAPHICS President (2019-2022), and contributes to conferences like IEEE Visualization and EG-EuroVis. She co-founded the EAISI Health research initiative at TU/e.
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