computational fluid dynamics

Luca Galimberti

Luca is a Ph.D. candidate in Applied Mathematics at KAUST, he focuses on the development of numerical methods for aeroacoustics and aerodynamics of aeronautical applications.

Space-time conservation element and solution element (CESE) method for computational fluid dynamics

Hua Shen

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B9 L2 H1

Space-time conservation element and solution element (CESE) method is a unique finite-volume-type method for computational fluid dynamics (CFD). This approach has several attractive properties, including: (i) unified treatment of the space and time such that only one step is required to construct high-order schemes; (ii) a highly compact stencil regardless of the order of the accuracy; (iii) easiness of extension to any arbitrary shape of polygonal elements. Since its inception, the CESE method has achieved great success in different areas.

On supercomputers and engineering applications: DNS, modeling, and GPUs

Mathis Bode, Researcher, Institute for Combustion Technology (ITV) at RWTH Aachen University

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B2 L5 R5209

The numerical solution of multi-physics problems relying on the Navier-Stokes equations has kept multiple generations of supercomputers busy. For fundamental problems, computational fluid dynamic aims to resolve all relevant time and length scales, which is then known as direct numerical simulation (DNS).

Rasha Aljahdali

Radouan Boukharfane

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

Gabriel Wittum

Dr. Gabriel Wittum, professor of applied mathematics and computational science at KAUST, is an expert in modelling and simulating problems in empirical science.