High Performance Computing

Pulling rank on spatial statistics

1 min read · Sun, Feb 18 2018

High Performance Computing statistics

A technique that uses the power of computing could solve statistical problems cheaper and faster than current methods.

KAUST Ph.D. student wins best paper award from American Statistical Association

1 min read · Thu, Apr 25 2019

Awards News Spotlight

Statistical computing High Performance Computing

KAUST Ph.D. statistics student Jian Cao was recently selected as a best paper award winner by the American Statistical Association (ASA) for his paper entitled "Computing High-Dimensional Normal and Student-t Probabilities with Tile-Low-Rank Quasi-Monte Carlo and Block Reordering." Cao's paper was chosen in an ASA student paper competition under the section on Statistical Computing.

Omar Knio

Professor, Applied Mathematics and Computational Sciences

uncertainty quantification bayesian inference computational fluids mechanics combustion High Performance Computing

Professor Knio focuses on developing state-of-the-art methods and algorithms for simulating complex multiscale systems, and their implementation to the analysis and optimization of renewable energy systems.