Computational Science

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.

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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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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).

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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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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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Prof. Limongelli’s research focuses on standard and advanced computations (molecular docking, molecular dynamics, enhanced sampling simulations etc.) to study systems of biological and pharmaceutical relevance.

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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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Prof. Parrinello's research is focussed on computer simulations and modelling of condensed matter, chemical and biophysical systems. His research interests include ab-initio molecular dynamics, metadynamics, simulation of rare events, structural and chemical transformations in solids under the effect of pressure, nucleation, chemical reactions in condensed phases, protein-protein interaction.

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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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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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