High Performance Computing

Radouan Boukharfane

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

computational fluid dynamics High Performance Computing high speed flows aeroacoustics

Radouan Boukharfane joined Extreme Computing Research Center (ECRC) at King Abdullah University of Science & Technology (KAUST) as a postdoctoral fellow in 2019. He is working with Professor Matteo Parsani his research group. Prior to this, he spent a year as a Postdoctoral Research Fellow in the Department of Aerodynamics, Energetics and Propulsion (DAEP) of the National Higher French Institute of Aeronautics and Space (ISAE-SUPAERO) in Toulouse (France). Education and Early Career Dr. Boukharfane received a joint MSc. (2014) from Department of mechanical engineering at Ecole Polytechnique of

Mohammed Sayyari

Ph.D. Student, Applied Mathematics and Computational Sciences

applied mathematics High Performance Computing entropy analysis nonlinear stability SBP-SAT operators Discontinuous Galerkin Physics-informed Neural Networks

Mohammed is a Mathematician with a solid background in scientific programming. Mohammed's mathematical interests are in the analysis of partial differential equations and the discretization thereof.

KAUST-CEMSE-Matteo-Parsani

Matteo Parsani

Associate Professor, Applied Mathematics and Computational Sciences

Structure-Preserving Algorithms fluid dynamics High Performance Computing Numerical Optimization aeroacoustics

Professor Parsani develops robust, variable order and self-adaptive algorithms for solving fluid flow problems in complex geometries. The application domains currently driving Parsani's research are compressible computational aerodynamics, computational aeroacoustics for noise reduction in vehicles and molecular communication.

Irving Enrique Reyna Nolasco

Ph.D. Student, Applied Mathematics and Computational Sciences

fluid dynamics High Performance Computing machine learning

Research Interests Irving Enrique Reyna Nolasco's research interests include numerical methods for partial differential equations, large eddy simulations, high order entropy stable schemes, machine learning, complex systems, and non-linear dynamics. Why did you choose your field of research? As a graduate student, I have always found satisfaction in developing scientific software and libraries for the simulation and visualization of different phenomena. I enjoy applying scientific computing tools and mathematical concepts to relevant problems in physics. By the end of my bachelor studies, I

Diego Rojas Blanco

Ph.D. Student, Earth Science and Engineering

fluid dynamics CFD High Performance Computing Scientific Visualization

Diego Rojas is a Ph.D. candidate in Earth Science & Engineering. He is studying under the supervision of Professor Matteo Parsani. Diego works on the development of entropy stable algorithms for the simulation of turbulent flow. Algorithms of this kind have new and exciting properties related to the reliability and scalability of our simulations so that we can use the power of modern supercomputers to simulate fluid flow problems to higher resolution. Research Interest Diego Rojas research interest include Computational Fluid Dynamics (CFD), Scientific Visualization, and High Performance

Aimad ER-RAIY

Postdoctoral Research Fellow, Advanced Algorithm and Numerical Simulations Laboratory

High Performance Computing applied mathematics

Aimad Er-Raiy joined the Extreme Computing Research Center (ECRC) at King Abdullah University of Science & Technology (KAUST) as a postdoctoral fellow in late 2019. He is working with Professor Matteo Parsani. Prior to this, he spent a year as a Postdoctoral Research Fellow in CERFACS (Toulouse, France). Education and Early Career Dr. Er-Raiy received a MSc. (2014) from the National Institute of Posts and Telecommunications (INPT) in Toulouse, France, and a Ph.D. (2018) from Institut Pprime & National Engineering School for Mechanics and Aerotechnics (ISAE-ENSMA) in Poitiers (France). Research