Computational Science

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.

 

Piotr Didyk

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).

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Kai Hormann

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.

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Rolf Krause

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.

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Michael Multerer

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.

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Igor Pivkin

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.

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Olaf Schenk

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.

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Ernst-Jan Camiel Wit

Prof. Wit's interest is on methodological development in high-dimensional inference with a specific focus on network modelling.

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