Kevin AB Verbeek

Kevin AB Verbeek is an Assistant Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), affiliated with the Applied Geometric Algorithms group and EAISI Foundational program. His research bridges theoretical computational geometry with practical applications in information visualization, graph drawing, and spatial data analysis.

Education:

• PhD in Algorithms for Cartographic Visualization, Eindhoven University of Technology, 2012
• Postdoctoral Researcher, UC Santa Barbara, 2012-2014

Verbeek specializes in computational geometry with applications spanning information visualization, automated cartography, social network analysis, and computational topology. His work emphasizes algorithm stability for dynamic data visualization, ensuring minor input changes yield proportionally minor output variations. Current projects include the NWO-funded Veni project on geometric algorithm stability and the GlamMap initiative for GLAM (Galleries, Libraries, Archives, Museums) metadata visualization, addressing real-world challenges in spatial data representation.

His publication trends reveal consistent contributions to algorithm stability, hierarchical data visualization, and network analysis, with significant impact in treemap stability, flow map design, and river network modeling. These works demonstrate cross-disciplinary applications from cultural heritage to earth sciences.

Scientific Awards:

• NWO Veni Award (2015) for "Stable Geometric algorithms" project

Verbeek coordinates the bachelor honors track "Competitive Programming and Problem Solving" within TU/e Honors Academy and teaches courses including Heuristic Algorithms and Competitive Programming. He serves on the Eindhoven Young Academy of Engineering and contributes to research projects funded by NWO, with ongoing work focused on foundational algorithmic spatial data analysis through EAISI.

As core faculty in the Applied Geometric Algorithms group, he actively develops tools for dynamic data visualization and maintains strong collaborations with institutions like UC Santa Barbara, focusing on translating theoretical geometry into practical visualization frameworks for evolving datasets.