More details can be found here [weiterlesen]

Abstract: Fine-scale models based on high-dimensional differential equations (DEs) are available for many systems in science and engineering. In many cases, research focuses on effects which occur on a coarser scale instead of the fine one described by the DEs. As it is usually not feasible to… [weiterlesen]

Our group will participate in this year's  SIAM Annual Meeting (AN17) with a paper on: - Optimization of Random Systems Using Multi-Fidelity Models  More details about the conference can be found here: http://www.siam.org/meetings/an17/ [weiterlesen]

Our group will participate in the SIAM workshop on Parameter Space Dimension Reduction (DR17) with a paper on: - Probabilistic Coarse-Graining: from Molecular Dynamics to Stochastic PDEs [abstract] More details about the conference can be found here: http://www.siam.org/meetings/dr17/ [weiterlesen]

Abstract: This talk is concerned with the development of probabilistic reduced order models facilitating uncertainty quantification in partial differential equations with random and spatially varying coefficients. In particular, Poisson’s equation with a random, heterogeneous conductivity field is… [weiterlesen]

Abstract: This talk addresses the topic of uncertainty quantification in high-dimensional model-based Bayesian inverse problems with an application to linear elastostatic problems. For that purpose, a probabilistic mechanical model is proposed, recasting the traditional forward problem formulation… [weiterlesen]

Abstract: Accurate uncertainty quantification for model-based, large-scale inverse problems represents one of the fundamental challenges in the context of computational science and engineering. In this thesis, novel Bayesian methodologies for the quantification of parametric and model… [weiterlesen]

Very excited to participate in this highly multidisciplinary project that aims at developing new methods for  estimating local tumor infiltration and optimizing personalized treatment in glioma patients. More information can be found here. [weiterlesen]

...and the possibility of moving to a a blind-peer-review-based system [weiterlesen]

Our group will participate with three papers in this year's SIAM CSE 2017, namely: - Bayesian, Multi-Fidelity, Optimization under Uncertainty [slides] - Bayesian Coarse-Graining in Atomistic Simulations: Adaptive Identification of the Dimensionality and Salient Features [slides] - Probabilistic,… [weiterlesen]