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

May 22 - 28, 2016 

9 a.m. – 5 p.m.

Room 2322, Engineering Science Hall (building 9)

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  School topics:

​  Organizers:

  • Multi Level and Multi Index Sampling

  • Bayesian Inverse Problems

  • Markov Chain and Sequential Monte Carlo

  • Data Assimilation and Filtering Techniques

  • Low Rank Approximation

    External speakers:

​     KAUST 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​​​​​

  • ​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.

 

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