Scientific Computing and Uncertainty Quantification
The CSQI chair, led by Prof. Fabio Nobile, deals with the development of reliable numerical simulations of complex models appearing in physics, engineering and life science applications, such as porous media flows, wave propagation phenomena, aerodynamics, fluid-structure interaction in hemodynamics, heart electromechanics, etc. In particular, the research is oriented to the development of advanced techniques for the treatment and quantification of uncertainties which unavoidably affect many of the parameters of a mathematical model, and consequently the quantification of the reliability of numerical simulations outcomes.
NEWS / EVENTS
The Winter 2020 issue of the EU Research magazine reports on the ExaQUte project, which CSQI is partner of.
The next CEMRACS 2021 is organized by V. Ehrlacher, D. Lombardi, O. Mula, F. Nobile and T. Taddei and will be on “Data Assimilation and Reduced Modeling for High Dimensional Problems”. It will be held on July 19-August 27, 2021, at CIRM, Luminy, France.
Xi Wang joins CSQI as a PhD student to work on the KAUST-CRG8 project “High Dimensional Hierarchical Optimization Methods For Machine Learning and Stochastic Optimal Control”. Tommazo Vanzan joins CSQI as a postdoc to work on the ExaQUte project. Welcome Xi and Tommaso!
A CIME school on Numerical methods for forward and inverse Uncertainty Quantification will be held in Cetraro, Italy in September 2021 (it was originally planned on August 31 to September 4, 2020, but has been postponed due to Covid-19). Lecturers: Albert Cohen, Fabio Nobile, Holger Rauhut, Andrew Stuart, Raul Tempone.
The Erwin Schrödinger International Institute for Mathematics and Physics (ESI) in Vienna organizes a Thematics Programme on Computational Uncertainty Quantification: Mathematical Foundations, Methodology and Data in Spring 2022 (it was originally planned from May 4 to June 26, 2020, but has been postponed due to Covid-19). The programme will include 5 workshops and will host several short and long term visitors.
Juan Pablo awarded a SDSC PhD fellowship for the project entitled Advanced sampling techniques for data-rich Bayesian inverse problems with applications to seismology
Head of CSQI
Prof. Fabio Nobile