Confirmed Plenary and Semi-plenary Speakers

Plenary Speakers
Isaac Elishakoff
Florida Atlantic University, USA
"Recent Developments in Applied Mechanics with Uncertainties"
Charbel Farhat
Stanford University, USA
"A Computationally Tractable Framework for Nonlinear, Dynamic, Multiscale Modeling of Membrane Fabric Based on Model Reduction and Machine Learning"
Roger Ghanem
University of Southern California, USA
"Probabilistic Learning and Adaptation with Polynomial Chaos"
George Karniadakis
Brown University, USA
"Uncertainty Quantification for Physics Informed Neural Networks"
Christian Soize
Université Paris-Est, France
"A probabilistic learning on manifolds as a new tool in machine learning and data science with applications in computational mechanics"
Alexander Vakakis
University of Illinois at Urbana, USA
"Intentional Implementation of Strong Nonlinearity in Structural Dynamics"
Semi-plenary Speakers
Hermann G. Matthies
Technische Universität Braunschweig, Germany
"Parametric Reduced Order Models, Bayesian Inversion, Low-Rank Approximations And Deep Networks"
Xavier Oliver
UPC/ BarcelonaTech, Spain
"The RFE2 technique: towards the defeat of the "tyranny of scales" in multiscale modeling of materials"
Costas Papadimitriou
University of Thessaly, Greece
"Hierarchical Bayesian Modelling Framework for Data-Driven Uncertainty Quantification in Engineering Simulations"
Michael D. Shields
Johns Hopkins University , USA
"Sampling stochastic phenomena: From advanced Monte Carlo methods to manifold interpolation-based surrogates"
Daniel Straub
Technical University of Munich, Germany
"Aleatory or epistemic - why it matters"
Bruno Sudret
ETH Zürich, Switzerland
"Surrogate modelling meets machine learning"