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AMCS
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medicine

Models, Methods, Applications: HPC in Medicine, Science, Engineering, and AI

Rolf Krause, Professor, Applied Mathematics and Computational Sciences
May 14, 16:00 - 17:00

B3 L5 R5209

machine learning medicine AI

Abstract The accurate numerical prediction of complex processes in medicine, science, and engineering requires a well balanced interplay of mathematical models, numerical methods, and scientific software. In this talk, we discuss along different examples from engineering, earth-sciences, and medicine the various challenges in building predictive models. Our focus will be on the algorithmic aspects, i.e. on the numerical methods, -may it be finite elements or neural networks in the context of massive parallelism. We will present in particular parallel preconditioners for non-linear problems

Rolf Krause

Professor, Applied Mathematics and Computational Sciences

applied mathematics Numerical Solution of Partial Differential Equations Finite elements machine learning Numerical Optimization medicine computational mechanics contact problems fluid-structure interactions cardiac simulation biomechanics geology Multiphysics Simulation HPC optimization Multigrid Domain Decomposition software development

Professor Rolf Krause is an experienced researcher and educator specializing in designing and analyzing algorithms to solve complex problems in scientific computing and machine learning.

Applied Mathematics and Computational Sciences (AMCS)

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