If you know what to look for, you will find possible applications for geometric algorithms everywhere.
Wouter Meulemans is an assistant professor in the Applied Geometric Algorithms group at the Eindhoven University of Technology (TU/e). His research interests lie in the areas of algorithms, computational geometry and information visualization, particularly in the context of (geo)spatial applications. A common theme throughout much of his research is the concept of spatially informative visualization: that is, spatial accuracy is not the ultimate goal but is controlled in favor of efficacious visualization. The developed methods are supported by geometric algorithms to ensure provable guarantees on quality and efficiency of solutions. Specific areas of expertise include cartographic schematization, similarity measures and set visualization. Automated schematization is about computing effective and stylistic visual objects using only a few geometric primitives to adequately represent complex ones. Similarity measures play a key role here, in quantifying what “adequate” means and to describe how geometric objects relate. Set visualization is a technique to support the analysis of sets and their relations.
Wouter Meulemans obtained his Master’s degree (with honors) in Computer Science at TU/e in 2010 and simultaneously participated in the Honors Research Programme. He obtained his PhD (with honors) in Computational Geometry in 2014 at the same university. Afterwards, Wouter became a postdoc at the Westfälische Wilhelms Universität, Münster (2015) and Marie-Curie fellow at City, University of London (2015-2016). At the end of 2016, he returned to TU/e as an assistant professor in the Applied Geometric Algorithms group. Wouter also participated in Faces of Science, an initiative of the KNAW (Royal Netherlands Academy of Sciences) and De Jonge Akademie to provide (high-school) students insight into the work of a scientist and enthuse them to pursue a scientific career.
Locally correct Fréchet matchingsComputational Geometry: Theory and Applications (2019)
Optimal algorithms for compact linear layouts11th IEEE Pacific Visualization Symposium (PacificVis 2018) (2018)
Short plane support trees for hypergraphs34th European Workshop on Computational Geometry (EuroCG2018) (2018)
Optimal algorithms for compact linear layouts34th European Workshop on Computational Geometry (EuroCG2018) (2018)
The painter’s problem25th International Symposium on Graph Drawing and Network Visualization (GD 2017) (2018)
- Teachers Information Data Science
- Algorithms for geographic data
- Foundations of computing
- Bachelor research project
- CS Research Honors project 2
- CS Research Honors project 1
No ancillary activities