About Bilal Saad Bilal Saad Postdoctoral Research Fellow, Stochastic Numerics Research Group numerical analysis Bilal Saad worked as a Postdoctoral Fellow at Professor Raul F. Tempone's Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Research Interests Numerical analysis Flow and transport in porous media Compressible and incompressible multiphase flows, partially miscible flow Radioactive waste storage, Carbon capture and storage, CO2 storage, Oil recovery secondary Modeling and numerical simulation of a nonlinear degenerate elliptic-parabolic systems Selected Publications B. Saad and M. Saad. Study of full implicit petroleum engineering finite volume Articles Related News February 2015 Dr. Bilal Saad accepted researcher position at Baker Hughes Dhahran Research and Technology Center 1 min read · Sun, Feb 8 2015 News For the last two years, Bilal has been a postdoctoral fellow at KAUST with the Stochastic Numerics research group. Bilal is an applied mathematician with a strong focus on mathematical modeling, numerical simulation of partial differential equations, coupling methods for multiphysics and multiscale problems, high-performance computing, and more recently, parameter estimation. During his tenure at KAUST, his main efforts have been devoted to developing efficient computational tools for simulating fluid flow in porous media subject to uncertainty. August 2014 SIAM NEWS: International Agenda for KAUST’s UQ Center 1 min read · Fri, Aug 1 2014 News March 2014 SIAM President, Professor Irene Fonseca (Department of Mathematics, Carnegie-Mellon University), visited the Strategic Research Initiative on Uncertainty Quantification on March 9th, 2014 1 min read · Sun, Mar 9 2014 News SIAM President, Professor Irene Fonseca (Department of Mathematics, Carnegie-Mellon University), visited the Strategic Research Initiative on Uncertainty Quantification on March 9th, 2014. Irene Fonseca's research program is at the interface between pure and applied analysis and is motivated by applications in the physical sciences and engineering. June 2013 SABIC Post Doctoral Fellowship 2013 1 min read · Sat, Jun 15 2013 News Dr. Bilal Saad from Stochastic Numerics Group became one of 13 outstanding and talented postdocs to receive a SABIC Postdoctoral Fellowship Award. The title of his work is “Numerical Simulation and Model Validation for Multiphase Multicomponent Flows in Porous Media“.
Dr. Bilal Saad accepted researcher position at Baker Hughes Dhahran Research and Technology Center 1 min read · Sun, Feb 8 2015 News For the last two years, Bilal has been a postdoctoral fellow at KAUST with the Stochastic Numerics research group. Bilal is an applied mathematician with a strong focus on mathematical modeling, numerical simulation of partial differential equations, coupling methods for multiphysics and multiscale problems, high-performance computing, and more recently, parameter estimation. During his tenure at KAUST, his main efforts have been devoted to developing efficient computational tools for simulating fluid flow in porous media subject to uncertainty.
SIAM President, Professor Irene Fonseca (Department of Mathematics, Carnegie-Mellon University), visited the Strategic Research Initiative on Uncertainty Quantification on March 9th, 2014 1 min read · Sun, Mar 9 2014 News SIAM President, Professor Irene Fonseca (Department of Mathematics, Carnegie-Mellon University), visited the Strategic Research Initiative on Uncertainty Quantification on March 9th, 2014. Irene Fonseca's research program is at the interface between pure and applied analysis and is motivated by applications in the physical sciences and engineering.
SABIC Post Doctoral Fellowship 2013 1 min read · Sat, Jun 15 2013 News Dr. Bilal Saad from Stochastic Numerics Group became one of 13 outstanding and talented postdocs to receive a SABIC Postdoctoral Fellowship Award. The title of his work is “Numerical Simulation and Model Validation for Multiphase Multicomponent Flows in Porous Media“.
