Hormann, Kai Update data
- +41 58 666 4327
Stabile Informatica, Office 105 (Level 1)
Via Buffi 13, 6904 Lugano
Website or personal page
Kai Hormann is an associate professor in the faculty of informatics at the University of Lugano. He received a Ph.D. in computer science from the University of Erlangen in 2002 and spent two years as a postdoctoral research fellow at the Multi-Res Modeling Group at Caltech and the CNR Institute of Information Science and Technologies in Pisa, before joining the faculty at Clausthal University of Technology as an assistant professor in 2004. During the winter term 2007/2008 he visited the Berlin Mathematical School at Freie Universität Berlin as a BMS substitute professor.
His research interests are focussed on the mathematical foundations of geometry processing algorithms as well as their applications in computer graphics and related fields. In particular, he is working on parameterization of meshes, surface reconstruction from point clouds, barycentric coordinates for arbitrary polygons, and subdivision of curves and surfaces.
Prof. Hormann has published over 40 papers in the professional literature and is an active member of ACM Siggraph and SIAM. He served on more than 20 of the leading graphics and geometry conference programme committees and is a frequent reviewer for international funding agencies and the top journals in his field.
Moreover, he is an associate editor of Computer Aided Geometric Design and Computer Graphics Forum.
The interdisciplinary research field of digital geometry processing combines concepts from computer science, applied mathematics, and engineering for the efficient acquisition, reconstruction, optimization, editing, and simulation of geometric objects. Applications of geometry processing algorithms can be found in a wide range of areas, including computer graphics, computer aided design, architecture, geography, and scientific computing. Current projects include interactive shape deformations, processing of time-dependent objects, efficient 3D visualization, and design of GPU-accelerated algorithms.