Omar Ghattas
Professor, Oden Institute, Department of Mechanical Engineering
Research
Professor Ghattas has general research interests in forward and inverse modeling, optimization, and uncertainty quantification of large-scale complex mechanical, geological, and biological systems. With collaborators, he received the ACM Gordon Bell Prize in 2003 (for Special Achievement) and again in 2015 (for Scalability), and was a finalist for the 2008, 2010, and 2012 Bell Prizes.
Center for Computational Geosciences, Institute for Computational Engineering and Sciences (ICES)
Select Publications
May 15, 2019. Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty. Academic Press.
.March 13, 2019. Sparse polynomial approximation for optimal control problems constrained by elliptic PDEs with lognormal random coefficients.
.January 24, 2019. Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions.
.December 2018. Bayesian inversion of heterogeneous aquifer properties from GPS andInSAR data using poroelastic subsurface models.
.December 17, 2018. Taylor approximation for PDE‐constrained optimization under uncertainty: Application to turbulent jet flow.
.Awards & Honors
- 2015 - ACM Gordon Bell Prize
- 2014 - Best Poster Award, IEEE/ACM
- 2014 - SIAM Fellow
- 2012 - Joseph C. Walter Excellence Award
- 2012 - CM Gordon Bell Prize Finalist
- 2012 - Best Visualization Award, XSEDE Conference
- 2010 - ACM Gordon Bell Prize Finalist
- 2009 - Best Poster Award, SC
- 2008 - ACM Gordon Bell Prize Finalist
- 2008 - TeraGrid Capability Computing Challenge Award