May 22 – 24
Hall 1, Engineering Science Hall (bldg. 9)
To register, please click here. The program can be found here.
The KAUST Research Conference: Predictive Complex Computational Fluid Dynamics will focus on cutting-edge research in the field of algorithmic development for Computational Fluid Dynamics (CFD) and multi-scale complex flow simulations. Fluid motion is governed by a system of nonlinear partial differential equations that can lead to dynamics over a vast range of scales. Although CFD is arguably the oldest area of computational science, it remains perhaps one of the most challenging and most active.
Around the world, many research centers and labs in the private sector, government and academia are focused on developing and applying CFD algorithms. CFD is widely used to supplement experiment and to interpolate between experimental scenarios. Due to the growing numbers of problems where experiments are impossible, dangerous and/or too costly, CFD is increasingly applied to scenarios where it must be a predictive tool in its own right. This predictiveness requires a precision that is made possible by both algorithmic and hardware advances.
The conference will gather together young, senior, local and international top scientists from academia and industry in the multidisciplinary field of CFD to present and discuss their work.
Keynote speakers:
- Professor Philipp Colella, University of California Berkeley
- Professor Chi-Wang Shu, Brown University
- Professor Amanda Randles, Duke University
- Professor Catherine Gorle, Stanford University
- Professor Antony Jameson, Stanford University
- Dr. Brian E. Mitchell, General Electric Global Research
The conference is organized with financial support from the KAUST Office of Sponsored Research (OSR), the Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, with additional support provided by the KAUST Industry Collaboration Program (KICP), Industry Partnerships office.