The Visualization and Graphics Group (VIG), led by prof. dr. Alexandru C. Telea, creates visual analysis and rendering tools and methods to help scientists and researchers better process and understand large, multi-dimensional, and relational datasets in domains such as neuroscience, genomics, software engineering, astronomy, and medicine.

Our mission is to empower experts, as well as non-data scientists, to solve big data problems through visualizations, interaction concepts, data mining techniques, and realistic rendering methods.

VIG is part of the Department of Information and Computing Science, Utrecht University.

Research

• visualization for AI (dimensionality reduction, explaining machine learning)
• big data multiscale visualization (hierarchies, graphs, trails, tables)
• visualization in practice (decision making, user studies)
• information visualization and visual analytics (techniques, system design, evaluation)
• photorealistic computer graphics (techniques, evaluation)
• shape/image processing (skeletonization, segmentation, fairing, reconstruction)
• scientific visualization (fluid simulation, GPU- and PDE-based techniques)

Latest Publications (full list here)

2026

	L. Cibulski, T. Mertz, E. Dimara, S. Bruckner (2026) Evaluating Visual Decision Support: How Does Preference Elicitation Shape Metric Sensitivity? IEEE Transactions on Visualization and Computer Graphics
	A. Chatzimparmpas, E. Dimara (2026) DARE: an Explainable AI-visualization Framework for Ill-defined Decision Making. IEEE Transactions on Visualization and Computer Graphics
	Z. Huang, T. Fujiwara, A. Chatzimparmpas, W. Duchemin, A. Kerren (2026) MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis. IEEE Transactions on Visualization and Computer Graphics
	B. Oral, A. Chatzimparmpas, Y. Zhang, L. van Dijk, R. Võeras, E. Dimara (2026) Exploring Visualization Support for Early-Career Decision Making. Information Visualization
	F. Du, X. Ban, Y. Xu, A. Chatzimparmpas, Y. Zhang (2026) Neural Fluid Simulator with Hybrid Physical-Visual Constraints. Computer Animation and Virtual Worlds 37(3):e70115

Teaching

We teach (and taught) many courses spanning all areas of visualization and graphics and for different audiences (BSc/MSc/PhD students, professionals). Details here.

Students

We have supervised many students at all levels (BSc/MSc/PhD). Selected key results here.

Research valorization

Our work has led to two innovative start-ups

• SolidSource (2006-2012): Tools and services for the visual analysis of big software data for industrial software maintenance
• GraphPolaris (2024-present): Tools and services for analyzing and visualizing large relational data