Visualization and GraphicsInteractionDept ICSFaculty of ScienceUU

https://www.projects.science.uu.nl/ics-vig/Site/TopBar

  
  

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, 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)

  

2025

X. Ye, X. Wang, Y. Xu, A.C. Telea, J. Kosinka, L. You, J. Zhang, J. Chang (2025) Dynamic Importance Monte Carlo SPH Vortical Flows with Lagrangian Samples. IEEE TVCG (in press)
M.A. Cerqueira, A. Telea, A. Falcão (2025) Towards to the Evaluation of FLIM Attention Regions. In Proc. SIBGRAPI - Work in Progress
R. Li, X. Wang, Y. Xu, Y. Zhang, J. Kosinka, A. Telea, J. Chang, J. Zhang, X. Ban (2025) Multiphase Particle-Based Simulation of Poro-Elasto-Capillary Effects. In Proc. SIGGRAPH Asia
I. Hartskeerl, T. Nijboer, P. Vangorp, A. Telea (2025) The Use of Virtual/Augmented/Mixed Reality in the Rehabilitation of Hemianopia and Visuospatial Neglect Patients: A Systematic Review. In Proc. XR Neglect (Abstract)
M. Dossi, A.C. Telea, T.C.W. Nijboer, F.W. Cornelissen, A. Chatzimparmpas (2025) Visual Analytics for Explainable Visual Rehabilitation. In Proc. 2nd European Symposium on XR Technologies for Neurorehabilitation of Spatial Neglect

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