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

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B9 H1

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.