Kevin Buchin

Kevin Buchin is an Associate Professor in the Algorithms group at Eindhoven University of Technology (TU/e). His work focuses on computational geometry. He has a broad interest in fundamental algorithmic problems as well as problems driven by applications such as geographic data analysis and robotics. Kevin’s primary goal is to develop algorithmic solutions that are both practical and provably efficient.  

Kevin has made many contributions to the theory of geometric algorithms, including fast algorithms for the Delaunay triangulation in the transdichotomous model, for computing the similarity between curves, and for constructing geometric spanners. For all of these problems, he has also developed practically efficient algorithms. On the applications side, Kevin has contributed to spatial networks analysis, movement data analysis, and robot motion planning. He is in particular interested in geometric algorithms that integrate data uncertainty.

In our spatial world, much of the data we generate is geometric. It is a great challenge to develop algorithms for dealing with these data.”