Omar Ghattas

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Georg StadlerCourant Institute, New York UniversityVerified email at cims.nyu.edu
Lucas C. WilcoxProfessor of Applied Mathematics, Naval Postgraduate SchoolVerified email at nps.edu
George BirosProfessor, Oden Institute for Computational Engineering and Sciences, The University of Texas atVerified email at acm.org
Karen WillcoxOden Institute for Computational Engineering and Sciences, UT AustinVerified email at oden.utexas.edu
Noemi PetraProfessor, University of California, MercedVerified email at ucmerced.edu
Carsten BursteddeProfessor for Scientific Computing, Universität Bonn, GermanyVerified email at ins.uni-bonn.de
Volkan AkcelikShearwater GeoservicesVerified email at shearwatergeo.com
Peng ChenGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Jacobo BielakHamerschlag University Professor Emeritus, Department of Civil & Env. Eng., Carnegie MellonVerified email at cmu.edu
Bart van Bloemen WaandersSandia National LaboratoriesVerified email at sandia.gov
David O'HallaronProfessor of CS and ECE, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Michael GurnisProfessor of Geophysics, California Institute of TechnologyVerified email at gps.caltech.edu
Umberto VillaBiomedical Engineering and Oden Institute, UT AustinVerified email at oden.utexas.edu
Thomas O'Leary-RoseberryAssistant Professor, Department of Mathematics, The Ohio State UniversityVerified email at osu.edu
Tobin IsaacComputational Mathematician, Mathematics and Computer Science Division, Argonne National LaboratoryVerified email at anl.gov
Loukas F. KallivokasProfessor, The University of Texas at AustinVerified email at mail.utexas.edu
James MartinInstitute for Computational Engineering and Sciences, UT AustinVerified email at ices.utexas.edu
Matthias HeinkenschlossRice University, Dept. of Computational Applied Mathematics and Operations ResearchVerified email at rice.edu
Judith HillOak Ridge National LaboratoryVerified email at ornl.gov
Jonathan Richard ShewchukProfessor of Computer Science, University of California at BerkeleyVerified email at berkeley.edu

Omar Ghattas

Professor & Cockrell endowed chair, Mechanical Engineering & Oden Institute, Univ of Texas at Austin

Verified email at ices.utexas.edu - Homepage

inverse problems uncertainty quantification HPC scientific AI digital twins


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`p4est`: Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octrees C Burstedde, LC Wilcox, O Ghattas SIAM Journal on Scientific Computing 33 (3), 1103-1133, 2011	1010	2011
A stochastic Newton MCMC method for large-scale statistical inverse problems with application to seismic inversion J Martin, LC Wilcox, C Burstedde, O Ghattas SIAM Journal on Scientific Computing 34 (3), A1460-A1487, 2012	565	2012
Model reduction for large-scale systems with high-dimensional parametric input space T Bui-Thanh, K Willcox, O Ghattas SIAM Journal on Scientific Computing 30 (6), 3270-3288, 2008	531	2008
A computational framework for infinite-dimensional Bayesian inverse problems Part I: The linearized case, with application to global seismic inversion T Bui-Thanh, O Ghattas, J Martin, G Stadler SIAM Journal on Scientific Computing 35 (6), A2494-A2523, 2013	525	2013
Large-scale simulation of elastic wave propagation in heterogeneous media on parallel computers H Bao, J Bielak, O Ghattas, LF Kallivokas, DR O'Hallaron, JR Shewchuk, ... Computer methods in applied mechanics and engineering 152 (1-2), 85-102, 1998	485	1998
Parallel Lagrange--Newton--Krylov--Schur methods for PDE-constrained optimization. Part I: The Krylov--Schur solver G Biros, O Ghattas SIAM Journal on Scientific Computing 27 (2), 687-713, 2005	390	2005
A high-order discontinuous Galerkin method for wave propagation through coupled elastic–acoustic media LC Wilcox, G Stadler, C Burstedde, O Ghattas Journal of computational Physics 229 (24), 9373-9396, 2010	367	2010
The dynamics of plate tectonics and mantle flow: From local to global scales G Stadler, M Gurnis, C Burstedde, LC Wilcox, L Alisic, O Ghattas Science 329 (5995), 1033-1038, 2010	342	2010
Parameter and state model reduction for large-scale statistical inverse problems C Lieberman, K Willcox, O Ghattas SIAM Journal on Scientific Computing 32 (5), 2523-2542, 2010	330	2010
Large-scale PDE-constrained optimization: an introduction LT Biegler, O Ghattas, M Heinkenschloss, B van Bloemen Waanders Large-scale PDE-constrained optimization, 3-13, 2003	319	2003
A computational framework for infinite-dimensional Bayesian inverse problems, Part II: Stochastic Newton MCMC with application to ice sheet flow inverse problems N Petra, J Martin, G Stadler, O Ghattas SIAM Journal on Scientific Computing 36 (4), A1525-A1555, 2014	310	2014
Non-linear model reduction for uncertainty quantification in large-scale inverse problems D Galbally, K Fidkowski, K Willcox, O Ghattas International Journal for Numerical Methods in Engineering 81, 1581-1608, 2010	306	2010
A Newton-CG method for large-scale three-dimensional elastic full-waveform seismic inversion I Epanomeritakis, V Akçelik, O Ghattas, J Bielak Inverse Problems 24 (3), 034015, 2008	287	2008
From mesh generation to scientific visualization: An end-to-end approach to parallel supercomputing T Tu, H Yu, L Ramirez-Guzman, J Bielak, O Ghattas, KL Ma, ... Proceedings of the 2006 ACM/IEEE conference on Supercomputing, 91-es, 2006	263	2006
High resolution forward and inverse earthquake modeling on terascale computers V Akcelik, J Bielak, G Biros, I Epanomeritakis, A Fernandez, O Ghattas, ... Proceedings of the 2003 ACM/IEEE Conference on Supercomputing, 52, 2003	258	2003
Fast algorithms for Bayesian uncertainty quantification in large-scale linear inverse problems based on low-rank partial Hessian approximations HP Flath, LC Wilcox, V Akçelik, J Hill, B van Bloemen Waanders, ... SIAM Journal on Scientific Computing 33 (1), 407-432, 2011	253	2011
Goal-oriented, model-constrained optimization for reduction of large-scale systems T Bui-Thanh, K Willcox, O Ghattas, B van Bloemen Waanders Journal of Computational Physics 224 (2), 880-896, 2007	250	2007
Large-scale inverse problems and quantification of uncertainty L Biegler, G Biros, O Ghattas, M Heinkenschloss, D Keyes, B Mallick, ... John Wiley & Sons, 2011	230	2011
Parametric reduced-order models for probabilistic analysis of unsteady aerodynamic applications T Bui-Thanh, K Willcox, O Ghattas AIAA journal 46 (10), 2520-2529, 2008	227	2008
Learning physics-based models from data: perspectives from inverse problems and model reduction O Ghattas, K Willcox Acta Numerica 30, 445-554, 2021	221	2021

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