37 citations · 62 across the 4 of their papers we have counts for
4 papers
Quantifying Uncertainties in Fault Slip Distribution during the Tōhoku Tsunami using Polynomial Chaos
Ihab Sraj, Kyle T. Mandli, Omar M. Knio +2
An efficient method for inferring Manning's coefficients using water surface elevation data was presented in Sraj et al. (2014) focusing on a test case based on data collected…
Polynomial Chaos-based Bayesian Inference of K-Profile Parametrization in a General Circulation Model of the Tropical Pacific
Ihab Sraj, Sarah E. Zedler, Omar M. Knio +2
The authors present a Polynomial Chaos (PC)-based Bayesian inference method for quantifying the uncertainties of the K-Profile Parametrization (KPP) within the MIT General Circulat…
Numerical Model for the Deformation of Nucleated Cells by Optical Stretchers
Ihab Sraj, Joshua Francois, David W. M. Marr +1
In this paper, we seek to model the deformation of nucleated cells by single diode-laser bar optical stretchers. We employ a recently developed computational model, the Dynamic Ray…
Coordinate Transformation and Polynomial Chaos for the Bayesian Inference of a Gaussian Process with Parametrized Prior Covariance Function
Ihab Sraj, Olivier P. Le Maître, Omar M. Knio +1
This paper addresses model dimensionality reduction for Bayesian inference based on prior Gaussian fields with uncertainty in the covariance function hyper-parameters. The dimensio…