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. 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. 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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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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