Computational Science is an active area of research at the Faculty of Informatics of USI Università della Svizzera italiana. Our faculty works on biomechanics and nonlinear material models, mortar methods for contact, database analysis of extreme events, computational finance, computational fluid dynamic.
Prof. Bronstein's main research interests are theoretical and computational methods in metric geometry and their application to problems in computer vision, pattern recognition, shape analysis, computer graphics, image processing, and machine learning.
Prof. Didyk's research interests lie at the intersection of computer graphics and human perception. His main focus is on computational methods for generating and optimizing content for novel displays (e.g., AR/VR headset) and digital fabrication devices (e.g., multi-material 3D printers).
Prof. Horenko works on stochastic modeling and computational time series analysis of real-life systems (e.g., on problems in fluid mechanics, climate/weather research, economy, sociology and biology).
Prof. Hormann's research is focussed on geometry processing algorithms and their applications in computer graphics. In particular, he is working on mesh parameterization, surface reconstruction, generalized barycentric coordinates, and subdivision of curves and surfaces.
Prof. Krause's research focuses on numerical simulation and mathematical modeling in scientific computing and computational sciences, in particular the development of theoretical well founded simulation methods, which show excellent performance also in real world applications.
Michael Multerer is a Mathematician who works on uncertainty quantification for partial differential equations. He is interested in developing and implementing efficient algorithms to address the resulting high dimensional problems.
Prof. Pivkin's research interests lie in the area of multiscale/multiphysics modeling, corresponding numerical methods and parallel large-scale simulations of biological and physical systems. Specific areas include biophysics, cellular and molecular biomechanics, stochastic multiscale modeling, and coarse-grained molecular simulations.
The research of Olaf Schenk concerns algorithmic and architectural problems in the field of computational mathematics, scientific computing and high-performance computing. He is an expert in the design and analysis of parallel and multi- and manycore algorithms for real-world applications on emerging architectures e.g. GPUs and Cells.
Ernst-Jan Camiel Wit
Vice-Dean for Strategy & Development
Professor Ernst C. Wit is Professor of Statistics and Data Science and serves as the director of the Institute of Computing. He obtained PhDs in Philosophy (1997, Penn State) and Statistics (2000, University of Chicago) in the US. From 2000 until 2005 he was in the Statistics Department at the University of Glasgow, where he became a Reader. In 2005 he became head of the Medical Statistics Unit (12 FTE) at the University of Lancaster as full professor. From 2008 until 2018 Wit was at the University of Groningen. Since 2018 he is working in Switzerland, where he has continued to work on methodological development in high-dimensional inference with a specific focus on network modelling.