KAUST Uncertainty Quantification School on Numerical Methods for Direct and Inverse Problems

Overview

See the program here

Technical presentations

School topics:

• Multi-Level and Multi Index Sampling
• Bayesian Inverse Problems
• Markov Chain and Sequential Monte Carlo
• Data Assimilation and Filtering Techniques
• Low-Rank Approximation

Organizers:

• ​Prof. Raul Tempone (KAUST)
• Prof. Fabio Nobile (EPFL)

External speakers:

• ​​Fabio Nobile​, Associate Professor, CADMOS Chair of Scientific Computing and Uncertainty Quantification​, EPFL - Switzerland​
• ​André Uschmajew, Professor​, University of Bonn​, Germany​​​​
• Ajay Jasra​, Associate Professor​, National University of Singapore​, Singapore​
• Nuutti Hyvönen​, Associate Professor​, Aalto University, Finland​​​​​

KAUST speakers:

• Raul Tempone​, Director, ​​Center for Uncertainty Quantification in Computational Science and Engineering, CEMSE​, KAUST​
• ​Abdul-Lateef Haji-Ali, ​Center for Uncertainty Quantification in Computational Science and Engineering, CEMSE, KAUST

To register, email sri.uq@kaust.edu.sa with your name, institution and email address included.