Omar Ghattas
Affiliations: | Carnegie Mellon University, Pittsburgh, PA |
Area:
Applied Mechanics, Computer Science, MathematicsGoogle:
"Omar Ghattas"Children
Sign in to add trainee| George Biros | grad student | 2000 | Carnegie Mellon |
| Volkan Akcelik | grad student | 2002 | Carnegie Mellon |
| Alexandre L. Cunha | grad student | 2004 | Carnegie Mellon |
| Judith C. Hill | grad student | 2004 | Carnegie Mellon |
| Clemens M. Kadow | grad student | 2004 | Carnegie Mellon |
| Hejun Zhu | post-doc | 2013-2015 | (Physics Tree) |
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Publications
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| Chen P, Villa U, Ghattas O. (2019) Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty Journal of Computational Physics. 385: 163-186 |
| Wang K, Bui-Thanh T, Ghattas O. (2018) A Randomized Maximum A Posteriori Method for Posterior Sampling of High Dimensional Nonlinear Bayesian Inverse Problems Siam Journal On Scientific Computing. 40: A142-A171 |
| Crestel B, Stadler G, Ghattas O. (2018) A comparative study of structural similarity and regularization for joint inverse problems governed by PDEs Inverse Problems. 35: 024003 |
| Rudi J, Stadler G, Ghattas O. (2017) Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity Siam Journal On Scientific Computing. 39: S272-S297 |
| Alger N, Villa U, Bui-Thanh T, et al. (2017) A Data Scalable Augmented Lagrangian KKT Preconditioner for Large-Scale Inverse Problems Siam Journal On Scientific Computing. 39: A2365-A2393 |
| Alexanderian A, Petra N, Stadler G, et al. (2017) Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations Siam/Asa Journal On Uncertainty Quantification. 5: 1166-1192 |
| Crestel B, Alexanderian A, Stadler G, et al. (2017) A-optimal encoding weights for nonlinear inverse problems, with application to the Helmholtz inverse problem Inverse Problems. 33: 074008 |
| Chen P, Villa U, Ghattas O. (2017) Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems Computer Methods in Applied Mechanics and Engineering. 327: 147-172 |
| Zhu H, Petra N, Stadler G, et al. (2016) Inversion of geothermal heat flux in a thermomechanically coupled nonlinear Stokes ice sheet model Cryosphere. 10: 1477-1494 |
| Alexanderian A, Gloor PJ, Ghattas O. (2016) On Bayesian A- and D-optimal experimental designs in infinite dimensions Bayesian Analysis. 11: 671-695 |