Traversing from East to West across 10 cities throughout the Kingdom in 30 days, King Abdullah University of Science and Technology (KAUST) Professor of Applied Mathematics and Computational Science Matteo Parsani concludes his journey “Athar: East to West.”
Matteo Parsani and his team at KAUST are modeling how air particles move around objects—providing vital info for engineers designing lighter jets.
The ability to efficiently simulate the noise generated by wings and propellers promises to accelerate the development of quieter aircraft and turbines.
Rocket Scientists @KAUST
Which is your main ongoing RESEARCH in the aerospace and space flight sectors?
I study high pressure flames and high speed combustion. Both are simplified versions of what’s happening in rocket engines and other propulsion systems. Prof. Deanna Lacoste
New methods for training machine learning models are quicker and more accurate than current approaches, previously considered state-of-the-art.
A deep learning model improves the ability to identify genes potentially involved in disease.
The Formula 1 race track is the ultimate testbed for a KAUST researcher's latest work.
The theme of the University's 2019 Winter Enrichment Program (WEP) was "time." It represented an opportune moment for KAUST to welcome members of the McLaren Group to campus to discuss the recently signed extreme performance research partnership between KAUST and McLaren.