Researchers have developed a CNN-based deep learning model for predicting coastal flooding in cities under various sea-level rise scenarios. The model utilizes a vision-based, low-resource DL framework and is trained on datasets from Abu Dhabi and San Francisco. Results show a 20% reduction in mean absolute error compared to existing methods, demonstrating potential for scalable coastal flood management.
KAUST researchers have found conclusive evidence that the Red Sea completely dried out approximately 6.2 million years ago. Using seismic imaging, microfossil evidence, and geochemical dating, they determined a massive flood from the Indian Ocean refilled it in about 100,000 years. The flood carved a 320-kilometer-long submarine canyon and restored marine conditions. Why it matters: This discovery provides insights into extreme environmental events and the Red Sea's unique geological history, distinguishing it from the refilling of the Mediterranean.
This paper introduces a deep vision-based framework for predicting coastal floods under climate change, addressing the challenges of limited training data and high-dimensional output. The framework employs and compares various deep learning models, including a custom compact CNN architecture, against geostatistical and traditional machine learning methods. A new synthetic dataset of flood inundation maps for Abu Dhabi's coast is also provided to benchmark future models.
KAUST spinout Sadeem, which develops wireless environmental sensing systems, has secured $2.6 million in co-investment from the KAUST Innovation Fund and Saudi Aramco's Wa'ed Ventures. The funding will support product updates, development of new monitoring technologies, and business development. Sadeem's technology is used in cities including Mexico City and Texas for flood, traffic, weather, and air quality monitoring. Why it matters: The investment highlights the growing venture capital ecosystem in Saudi Arabia and will allow Sadeem to further develop its sensor technology for environmental monitoring and disaster prevention.
A KAUST report, in collaboration with AEON Collective and KAPSARC, warned of increasing flash floods in the Arabian Peninsula due to climate change. The report predicts a 33% increase in annual maximum rainfall by the end of the century under a high emissions scenario. KAUST is supporting MEWA to improve dam management and flash flood warning systems, leveraging its data and supercomputing capabilities. Why it matters: The study highlights the urgent need for infrastructure adaptation and improved warning systems in the region to mitigate the increasing risk of climate-related disasters.
KAUST Professors Hussein Hoteit and Satoshi Habuchi are collaborating to optimize hydrocarbon extraction using polymers. Hoteit's expertise in energy resources and petroleum engineering combines with Habuchi's molecular imaging tools. Their approach, known as polymer flooding, reduces costs and environmental impact by using less water. Why it matters: This interdisciplinary collaboration highlights KAUST's role in fostering innovative solutions for enhanced oil recovery, a critical area for Saudi Arabia's energy sector.
FalconViz, a KAUST-based startup co-founded by alumnus Luca Passone, specializes in 3D surveying and mapping using unmanned aerial systems. Established in 2015, the company offers services such as topographical surveys, mining assessments, and flood modeling to clients in Saudi Arabia and beyond. KAUST provided FalconViz with early funding, training, and ongoing support. Why it matters: The success of FalconViz highlights KAUST's role in fostering technological innovation and entrepreneurship in Saudi Arabia, contributing to the Kingdom's growing technology sector.
KAUST startup Sadeem, which provides solar-powered smart city solutions for flood, traffic and environmental monitoring, won the Best Global Startup award in Dubai in 2017. Since then, Sadeem has focused on building its business model and infrastructure to accommodate expansion. Sadeem recently installed its smart city sensors, including the Aura air quality monitor, in Madinah, Saudi Arabia. Why it matters: This expansion demonstrates the potential for Saudi-based startups to provide innovative solutions to local challenges and scale their impact internationally.