Slides - Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2015)

Technical presentation slides: UQAW 2015

Internal Participants

Free Space Optical (FSO) Communications, Towards the Speeds of Wireline Networks​ 
Prof. Mohamed-Slim Alouini

Video​ ​​
A Time Marching Scheme for Solving Volume Integral Equations on Nonlinear Scatterers​ 
Prof. Hakan Bagci

Video​
Surrogate models and optimal design of experiments for chemical kinetics applications
Prof. Fabrizio Bisetti

Video​
Multiphase flows in complex geometries: a UQ perspective
Dr. Matteo Icardi

Video
Perspectives on Nonlinear Filtering​
Dr. Kody Law

Video
Polynomial Chaos Acceleration for the Bayesian Inference of Random Fields with Gaussian Priors and Uncertain Covariance Hyper-Parameters
Prof. Olivier Le Maitre
Video
Robust Optimization of the Self- scheduling and Market Involvement for an Electricity Producer
Dr. Ricardo Li​ma

Video​
​​​​Fast Bayesian optimal experimental design and its applications​
Dr. Quan Long

Video
Hybrid Multilevel Monte Carlo Simulation of Stochastic Reaction Networks​​
Dr. Alvaro Moraes

Video
 
Adaptive Surrogate Modeling for Response Surface Approximations with Application to Bayesian Inference
Prof. Serge Prudhomme

Video​
Multi-Index Monte Carlo (MIMC) When sparsity meets sampling​
Prof. Raul Tempone

Video​
  External Participants
Simulation of conditional diffusions via forward-reverse stochastic representations
Dr. Christian Bayer​

Video
Metropolis-Hastings Algorithms in Function Space for Bayesian Inverse Problems
Prof. Oliver Ernst

Video​
Bayesian Inversion for Large Scale Antarctic Ice Sheet Flow (85 MB)
Prof. Omar Ghattas

Video
Transport maps and dimension reduction for Bayesian computation​
Prof. Youssef Marzouk

Video

Non-Intrusive Solution of Stochastic and Parametric Equations​
Prof. Hermann Matthies

Video
Discrete least squares polynomial approximation with random evaluations - application to PDEs with Random parameters
Prof. Fabio Nobile

Video
​​Computational error estimates for Monte Carlo finite element approximation with log normal diffusion coefficients​
Prof. Mattias Sandberg 
Video​
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