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
 



