KAUST held a KAUST-U.S. National Science Foundation (NSF) Conference on Environmental Monitoring from November 6 to 8, 2017. The conference focused on sustainability with an emphasis on environmental monitoring and sensing, including data collection, signal processing, and real-time decision-making. Keynote speakers included Ali Sayed (EPFL), Allen Tannenbaum (SUNY Stony Brook), and Dinesh Manocha. Why it matters: Such conferences foster international collaboration and knowledge exchange in applying AI and related technologies to pressing environmental challenges in Saudi Arabia and globally.
KAUST marine biologist Maggie Johnson is studying how to accurately measure environmental conditions to optimize coral restoration, focusing on temperature and light. She highlights the variability in precision and accuracy of commercially available instruments for measuring these parameters. Johnson notes that some instruments fail in the Red Sea's warm temperatures and high salinity, providing incorrect data. Why it matters: Accurate environmental monitoring is crucial for the success of coral reef restoration efforts in the face of climate change, especially in extreme environments like the Red Sea.
KAUST researchers led by Atif Shamim have developed a low-cost, 3D-printed wireless sensor node for real-time environmental monitoring. The disposable sensor nodes can detect noxious gases, temperature, and humidity, and have been tested in the lab and field, surviving drops and temperatures up to 70°C. The system aims to saturate high-risk areas with these sensors, linked wirelessly to fixed nodes that raise alarms. Why it matters: This innovation provides a cost-effective solution for large-scale environmental monitoring, addressing the limitations of expensive fixed sensors and satellite monitoring, and potentially revolutionizing early warning systems for wildfires and gas leaks in the region.
KAUST's Environmental Epigenetics Program (KEEP), led by Prof. Valerio Orlando, focuses on understanding how cells acquire and maintain memory, particularly in response to environmental factors. The research investigates the role of non-coding RNA and chromosomal components in regulating gene expression beyond the DNA sequence. Epigenetics explains how the same genome can be interpreted differently, allowing cells and organs to adapt to changing conditions. Why it matters: This research could provide insights into how environmental factors impact gene expression and cell function, potentially leading to advances in understanding and treating diseases.
KAUST researchers are using autonomous gliders in the Red Sea to monitor variables such as temperature, salinity, and chlorophyll, providing continuous, detailed measurements of the sea's physical and biogeochemical processes. These gliders can measure a number of variables, including temperature, salinity, chlorophyll, and concentration of dissolved organic matter. One glider was deployed for three months and monitored the formation of mesoscale eddies and anthropogenic inputs from aquaculture. Why it matters: This technology allows for a more comprehensive understanding of the Red Sea ecosystem and its dynamics, benefiting research and applications such as monitoring the impact of aquaculture, with potential implications for environmental management and sustainable resource utilization.
KAUST and KACST have partnered to assess the safety of seafood from the Red Sea and Arabian Gulf, with KACST funding an environmental contaminants lab at KAUST. Researchers from KAUST's Coastal & Marine Resources Core Lab (CMR) collect samples, which are then analyzed by the Analytical Chemistry Core Lab (ACL). The project aims to determine the exposure status of the Saudi population to environmental contaminants and provide recommendations on safe seafood consumption. Why it matters: Ensuring the safety of consumable fishery products is crucial for public health and food security in Saudi Arabia.
KAUST and SARsatX have developed a method using Generative Adversarial Networks (GANs) to generate synthetic SAR imagery for training deep learning models to detect oil spills. Starting with just 17 real SAR images, they generated over 2,000 synthetic images to train a Multi-Attention Network (MANet) model. The MANet model, trained exclusively on synthetic data, achieved 75% accuracy in identifying oil spill areas, matching the performance of models trained on larger real datasets. Why it matters: This advancement enables faster and more reliable environmental monitoring using AI, even when real-world data is scarce, reducing the need to wait for actual disasters to occur.
A glider deployed by KAUST's Coastal and Marine Resources Core Lab (CMOR) completed 1,000 dives in the Red Sea. The dives, completed by November 22, 2015, are part of ongoing marine research at KAUST. The glider is maintained by Lloyd Smith, supervisor of marine electronics at CMOR. Why it matters: This demonstrates KAUST's commitment to environmental monitoring and research in the Red Sea, contributing to a better understanding of the region's unique marine ecosystem.