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.
The Visualization and Graphics Group, led by prof. dr. Alexandru C. Telea, explores and provides visual analysis tools and methods to help scientists and researchers better process and understand large, multi-dimensional, and relational data sets in various domains such as neuroscience, genomics, software engineering, astronomy, and medicine.
Revisiting Menu Design Through the Lens of Implicit Statistical Learning
Proceedings of the 2022 International Conference on Advanced Visual Interfaces.—
Supporting Domain Characterization in Visualization Design Studies With the Critical Decision Method
Institute of Electrical and Electronics Engineers: Visualization Guidelines in Research, Design, and Education (VisGuides workshop) by IEEE VIS.—
Clustersets: Optimizing planar clusters in categorical point data
Comput. Graph. Forum.—
A Critical Reflection on Visualization Research: Where Do Decision Making Tasks Hide?
IEEE Transactions on Visualization and Computer Graphics.—
ParSetgnostics: Quality Metrics for Parallel Sets
The Eurographics Association: Eurographics Conference on Visualization (EuroVis).—