Workshops

International workshop on Multiscale Modeling, Simulation and Inversion, March 22 - 24, 2015

 

 

 

 

The purpose of this workshop is to discuss the scientific developments, challenges and difficulties in multiscale waveform modeling, simulation and inversion in important industrial applications ranging from seismic imaging and inversion to metamaterial properties to medical tomography. The synergy among these applications will allow transferring the knowledge from one area to another.

 

 
Topics covered:
 
  • Advanced discretization techniques.
  • Modeling of wave propagation in heterogeneous and random media.
  • ​​Subgrid models and multiscale discretization techniques for wave equations in complex media.
  • Uncertainty quantification in wave propagation.
  • Solvers for wave equations in complex media.
  • High-performance computation and visualization tools for large-scale wave simulations.
  • The classical full waveform inversion in the data space.
  • Full waveform inversion in the image space.
  • Finite frequency travel time tomography and smooth kernels.
  • Acoustic, elastic, anisotropic media modeling and inversion.
  • Regularization, and a priori and posterior distributions.
  • Modeling speed up and accuracy for velocity inversion.
  • Inverse problems

 We invite students and post-docs  to present their scientific contributions in our poster session. Please submit a title and an abstract to ying.wu@kaust.edu.sa or taousmeriem.laleg@kaust.edu.sa

For registration to the worhkshop, please contact taousmeriem.laleg@kaust.edu.sa


Organization Committee:

  • Prof. Tariq Alkhalifah, Earth Science and Engineering Program, KAUST
  • Dr. Victor Calo, Earth Science and Engineering Program, KAUST
  • Prof. Yalchin Efendiev, Visiting Professor,  Applied Mathematics and Computational Sciences, KAUST​
  • ​Dr. Taous-Meriem Laleg-Kirati, Applied Mathematics and Computational Sciences, KAUST
  • Prof. Martin Mai, Earth Science and Engineering Program, KAUST
  • Dr. Ying Wu Applied Mathematics and Computational Sciences, KAUST

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