
Kevin A.B. Verbeek
Assistant Professor · Computational Geometry
Eindhoven University of TechnologyAbout
Kevin A.B. Verbeek is an Assistant Professor in the Applied Geometric Algorithms group within the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He is also affiliated with the EAISI Foundational program at the Eindhoven Artificial Intelligence Systems Institute. His work bridges theoretical computational geometry with practical applications in information visualization and geospatial data analysis.
His research interests focus on computational geometry and its applications, particularly in information visualization. Key areas include graph drawing, automated cartography, social network analysis, computational topology, and the stability of geometric algorithms. His NWO-funded VENI project specifically investigates how to measure and analyze algorithm stability where small input changes should produce small output variations, crucial for visualizing dynamic data. He also contributes to the GlamMap project developing interactive tools for visualizing GLAM (Galleries, Libraries, Archives, Museums) metadata.
Analysis of his publication record shows consistent contributions to computational geometry and visualization, with emphasis on stability analysis, treemaps, network visualization, and geospatial applications. His work demonstrates strong connections between theoretical foundations and real-world implementations, particularly in environmental modeling and social network analysis.
- NWO Veni Award: Stable Geometric algorithms (2015-07-28)
Verbeek supervises research projects and coordinates the bachelor honors track 'Competitive Programming and Problem Solving' within the TU/e Honors Academy. His teaching includes courses on heuristic algorithms and research projects. As a member of the Eindhoven Young Academy of Engineering, he contributes to interdisciplinary initiatives. His research has practical applications in geographic information systems, environmental modeling, and cultural heritage data visualization through projects like GlamMap.
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