The Visualization and Graphics Group (VIG), led by prof. dr. Alexandru C. Telea, creates visual analysis tools and methods to help scientists and researchers better process and understand large, multi-dimensional, and relational datasets in various 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, and Data Mining techniques.

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)

	Y. Wang, A. Telea (2025) Investigating Desirable Properties of Inverse Projections and Decision Maps. Communications in Computer and Information Science
	S. van Wageningen, T. Mchedlidze, A. Telea (2025) Viewpoint Optimization for 3D Graph Drawings. Computer Graphics Forum
	A. Machado, M. Behrisch, A. Telea (2025) Necessary but Not Sufficient: Limitations of Projection Quality Metrics. Computer Graphics Forum
	Y. Yu, T. Becker, W. Aigner, A.C. Telea, M. Behrisch (2025) Time Series Representation Techniques: A Survey
	Y. Yu, T. Becker, P. Schichtel, W. Aigner, A.C. Telea, M. Behrisch (2025) Noops: Nonmyopic Feedback-Driven Pattern Search in Multivariate Time Series

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