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.
Projects
Latest Publications
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A Critical Reflection on Visualization Research: Where Do Decision Making Tasks Hide?
— IEEE Transactions on Visualization and Computer Graphics.
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ParSetgnostics: Quality Metrics for Parallel Sets
— The Eurographics Association: Eurographics Conference on Visualization (EuroVis).
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SpatialRugs: A Compact Visualization of Space and Time for Analyzing Collective Movement Data
— Computers & Graphics.
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The Unmet Data Visualization Needs of Decision Makers within Organizations
— IEEE Transactions on Visualization and Computer Graphics.
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Upward Point Set Embeddings of Paths and Trees
— Springer: WALCOM: Algorithms and Computation - 15th International Conference, WALCOM 2020, Singapore, February 28 - March 2, 2020, Proceedings.
News
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Visualization and Graphics Group (VIG)
@UtrechtVIGWelcome to our new twitter account for the Visualization and Graphics Group at the Utrecht University, Netherlands.…