AI

Olga Krestinskaya

International recognition for KAUST Ph.D. candidate Olga Krestinskaya

3 min read ·
Olga Krestinskaya, a KAUST Ph.D. student, wins Best Poster at the 2024 Nature Neuromorphic Computing Conference for her work on energy-efficient AI hardware.
Sustainable solutions in water conservation

KAUST-Engineered tool drives sustainable solutions in water conservation

3 min read ·
KAUST’s startup EcoStream cuts water waste by 50% while promoting affordability and sustainability, winning the 2024 StartSmart prize.

Aznaur Aliev

M.S. Student

Mhd. Emad Alolaby

Mohammed A Shukri

Technical Consultant at KAUST (King Abdullah University of Science and Technology).

Models, Methods, Applications: HPC in Medicine, Science, Engineering, and AI

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B3 L5 R5209

Abstract The accurate numerical prediction of complex processes in medicine, science, and engineering requires a well balanced interplay of mathematical models, numerical methods, and scientific software. In this talk, we discuss along different examples from engineering, earth-sciences, and medicine the various challenges in building predictive models. Our focus will be on the algorithmic aspects, i.e. on the numerical methods, -may it be finite elements or neural networks in the context of massive parallelism. We will present in particular parallel preconditioners for non-linear problems

Omar Khalifa

PhD student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST) ,working under the supervision of Prof. Tareq Al-Naffouri.