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

Event Start
Event End
Location
Building 9, Room 2322, Engineering Science Hall

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.

Contact Person