computational fluid dynamics

KAUST-CEMSE-The-International-Research-Conference-on-Multi-Grid-and-Multi-Scale-Methods-in-Computational-Science

KAUST International Research Conference on Multi-Grid and Multi-Scale Methods in Computational Science, IMG 2025

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Building 19 and 20

The International Conference on Multigrid and Multiscale Methods in Computational Science (IMG) offers a dynamic forum for researchers to share advances in multigrid, multilevel and multiscale computational techniques, as well as their applications across scientific domains.

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).

KAUST Research Conference: Predictive Complex Computational Fluid Dynamics 2017

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KAUST will host the 2017 Research Conference "Predictive Complex Computational Fluid Dynamics " on May 22-24, 2017. The Research Conference aims to gather international top scientists of all ages from academia and industry and will focus on cutting-edge research in the field of algorithmic development for CFD and multi-scale complex flow simulations. Although CFD is arguably the oldest area of computational science, it is a very challenging and active one, due to to the fact that worldwide research centers, in the private and public sector, are still actively working on the development and application of CFD algorithms to supplement experiment and to interpolate between experimental scenarios. CFD is currently being applied to scenarios where physical experiments are not feasible due to prohibitive costs, and ethical concerns, or where reproducibility is impossible to achieve.

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

Matteo Icardi

Postdoctoral Research Fellow, Stochastic Numerics Research Group
Matteo Icardi worked as a Postdoctoral Fellow​​ at Professor Raul F. Tempone's Stochastic Numerics Research Group (STOCHNUM) at King Abdullah University of Science and Technology (KAUST). Research Interests ​​Matteo's main research interests include the multi-scale modeling and simulation of multiphase flows, flows in porous media, and non-equilibrium flows, by means of Computational Fluid Dynamics (CFD), High-Performance Computing (HPC), stochastic and kinetic methods. He has worked also in the field of turbulent multiphase and reactive flows, Large Eddy Simulations (LES), Adaptive Mesh

Li Luo

Research Interest Li Luo's research interest include Scalable Parallel Algorithms, Computational Fluid Dynamics (CFD). Why KAUST? Discuss with the top class faculty, work with the world-class equipment, and enjoy the most diversified culture on the planet. Why did you choose your field of research? Simulation of large flow problems is computationally demanding, such as the two-phase flow and the blood flow in realistic cases. The use of supercomputers and highly scalable parallel algorithms is necessary. Research projects P2Pflow: a Parallel two-Phase flow solver P2Pflow is a parallel finite

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.