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An innovative way to explore the Red Sea’s precious Blue Carbon ecosystems

KAUST ·

KAUST researchers, partnering with the Queensland Government, discovered 34 previously unknown seagrass meadows in the Red Sea by tracking the foraging behavior of green turtles. They tagged and tracked 53 turtles, revealing that the turtles were approximately 20 times more reliable at identifying seagrass meadows compared to the Allen Coral Atlas. This method also proved to be significantly more cost-effective than traditional methods like airplanes with hyperspectral sensors. Why it matters: This study highlights a novel, cost-effective approach to mapping blue carbon ecosystems, crucial for carbon capture and marine habitat preservation, and provides valuable data for sustainability policies in the Red Sea region.

KAUST and Spire Global to launch a novel nanosatellite

KAUST ·

KAUST and Spire Global are collaborating on a nanosatellite mission, launching a 6U CubeSat to collect high-resolution data on global ecosystems. The satellite, equipped with GNSS-R and a hyperspectral instrument with AI capabilities, will operate for three years. KAUST researchers will use the data for mapping habitats, monitoring vegetation, studying coral reefs, and advancing precision agriculture. Why it matters: This mission will provide valuable data for environmental monitoring and support Saudi Arabia's Vision 2030 goals and the Saudi and Middle East Green Initiatives.

Satellites, statistics, and prediction: The science driving climate resilience

KAUST ·

KAUST's HALO group launched a CubeSat in 2023 for high-precision Earth observation in the Gulf region, combining GNSS Reflectometry and hyperspectral sensing. The satellite monitors vegetation, soil, agriculture, and ecosystem health, providing detailed estimates of irrigation water use and vegetation health. The Extreme Statistics (XSTAT) research group at KAUST focuses on the mathematical modeling and prediction of extreme weather and climate events. Why it matters: These KAUST initiatives enhance climate resilience in the region through advanced monitoring, statistical modeling, and predictive capabilities.

KAUST and amplifAI health combine technologies for early diabetes detection

KAUST ·

KAUST and Saudi healthtech company amplifAI health have signed an MoU to develop a new disease detection system. The system will combine amplifAI's AI technology with KAUST's HyplexTM hyperspectral imaging, initially for diabetic foot complications. Clinical trials are planned, with aims to reduce amputations and save Saudi Arabia over 2 billion Riyals annually. Why it matters: This partnership showcases the potential of combining Saudi AI and advanced imaging technologies to address pressing healthcare challenges in the region, particularly diabetes.

KAUST satellite to deliver advanced Earth observation data

KAUST ·

KAUST, in partnership with Spire Global, has successfully launched a Cubesat satellite on the SpaceX Transporter-7 mission. The satellite is equipped with a hyperspectral camera and GNSS-R sensor to collect high-resolution data on Earth's ecosystems. The collected data will help Saudi Arabia observe and characterize its natural resources, especially in terrestrial, coastal, and ocean environments. Why it matters: The satellite launch demonstrates KAUST's commitment to advancing Vision 2030 goals related to environmental protection and provides a valuable resource for scientists and collaborators to address local and regional environmental questions.

Learned Optics — Improving Computational Imaging Systems through Deep Learning and Optimization

MBZUAI ·

KAUST Professor Wolfgang Heidrich is researching computational imaging systems that jointly design optics and image reconstruction algorithms. He focuses on hardware-software co-design for imaging systems with applications in HDR, compact cameras, and hyperspectral imaging. Heidrich's work on HDR displays was the basis for Brightside Technologies, acquired by Dolby in 2007. Why it matters: This research aims to advance imaging technology through AI-driven design, potentially impacting various fields from consumer electronics to scientific research within the region and globally.