Paul-Remo Wagner defended his PhD thesis
Today Paul-Remo Wagner successfully defended his PhD thesis on “Stochastic spectral embedding in forward and inverse uncertainty quantification”.
As part of his thesis Paul-Remo proposed a novel method for surrogate modelling for models with non-homogeneous complexity called “Stochastic spectral embedding” (SSE). His thesis contains a comprehensive literature review on existing forward and inverse UQ techniques and details three applications of SSE for surrogate modelling, Bayesian updating, and reliability problems. It also contains two real-world engineering case studies for the calibration of fire insulation heat transfer models and a large-scale river correction project.
All associated publications can be found here