KAUST researchers developed a machine learning algorithm to control a deformable mirror within the Subaru Telescope's exoplanet imaging camera, compensating for atmospheric turbulence. The algorithm, which computes a partial singular value decomposition (SVD), outperforms a standard SVD by a factor of four. The KAUST team received a best paper award at the PASC Conference for this work, which has already been deployed at the Subaru Telescope. Why it matters: This advancement enables sharper images of exoplanets, facilitating their identification and study, and showcases the impact of optimizing core linear algebra algorithms.
KAUST researchers collaborated with the Paris Observatory and the National Astronomical Observatory of Japan (NAOJ) to develop advanced Extreme-AO algorithms for habitable exoplanet imaging. The new algorithms, powered by KAUST's linear algebra code running on NVIDIA GPUs, optimize and anticipate atmospheric disturbances. The implemented Singular Value Decomposition (SVD) algorithm won an award at the PASC Conference 2018 and is used at the Subaru Telescope in Hawaii. Why it matters: This advancement enhances the ability to image exoplanets, potentially leading to breakthroughs in the search for habitable planets using ground-based telescopes.
KAUST's Extreme Computing Research Center (ECRC) developed Multiple Object Adaptive Optics (MOAO) software. The software will contribute to the activities of the world's largest future optical telescope to be deployed in Chile in 2024. MOAO will eliminate atmospheric noise and enable simultaneous observation of multiple objects at different distances. Why it matters: This contribution highlights KAUST's role in cutting-edge astronomical research and positions the Middle East as a key player in advancing observational astronomy.
The KAUST Amateur Astronomy Association (AAA), led by Ph.D. student Daniel Corzo, uses telescopes to observe the night sky. The group organizes events to view celestial objects like Saturn and the Milky Way from locations with low light pollution. Corzo's interest in astronomy was sparked by visits to NASA's Johnson Space Center and science fiction literature. Why it matters: Such initiatives promote scientific curiosity and engagement within the KAUST community, potentially inspiring further interest in STEM fields in Saudi Arabia.
Planetary scientist Carolyn Porco, who led the imaging science team for the Cassini mission to Saturn, was a keynote speaker at KAUST's 2018 Winter Enrichment Program. Porco aimed to recreate the Pale Blue Dot photograph of Earth taken by Voyager 1. On July 19, 2013, Cassini's cameras captured another Pale Blue Dot image of Earth when Saturn eclipsed the Sun. Why it matters: The event fostered contemplation on Earth's place in the universe among the KAUST community.
Edward C. Stone, former Director of the Jet Propulsion Laboratories at Caltech, spoke at KAUST's Winter Enrichment Program in 2017. He discussed the exploration of Neptune's moon Triton, enabled by the Voyager 2 mission. The article includes images from NASA's Voyager 1 and 2 missions and a photo of King Abdullah. Why it matters: Such events and collaborations enhance KAUST's reputation as a leading science and technology university.
KAUST researchers found Y-series nonfullerene acceptors enhance the outdoor stability of organic solar cells, enabling energy-efficient windows. They also used satellite data to show managed vegetation can mitigate rising temperatures across Saudi Arabia's agricultural regions. Additionally, they developed DeepKriging, a deep neural network, to solve complex spatiotemporal datasets and tested it on air pollution. Why it matters: This research addresses critical challenges in renewable energy, climate change, and AI data privacy relevant to Saudi Arabia and the broader region.
KAUST's supercomputer Shaheen completed ultra-resolution subsurface mapping simulations for Saudi Aramco, producing a 3D image of subsurface geologic layers at a 7.5-meter resolution. Aramco scientists used integrated GeoDRIVE software to achieve this record resolution at a production scale, improving on prior simulations with tens of meters resolution. Shaheen, located in the KAUST Supercomputing Core Laboratory, is one of the largest CPU-based supercomputers globally, featuring 12,348 Intel Haswell CPUs. Why it matters: This achievement enables more precise resource extraction and geological understanding in the Arabian Peninsula, demonstrating the growing capabilities of regional supercomputing for industrial applications.