MEDAD, a KAUST spin-off, won the 2020 MEED Sustainability Medal for its "Innovative Hybrid Solar Desalination Cycle." The MEDAD hybrid cycle desalinates seawater using solar energy at 60-80 degrees Celsius, combining adsorption with multi-effect desalination. The cycle achieved performance levels of 20% of thermodynamic limits and a water production cost of $0.48/m3. Why it matters: This award recognizes the potential of KAUST-developed technology to address critical water scarcity challenges in the GCC region through sustainable and cost-effective desalination.
KAUST's Water Desalination and Reuse Center (WDRC) is developing solar-powered seawater desalination technologies, including the MEDAD cycle which combines adsorption desalination (AD) and multi-effect distillation (MED). The MEDAD cycle, developed by Professor Kim Choon Ng, doubles water production at the same temperature, reducing costs to $0.48/m3 compared to $1.201/m3 for multi-stage flash distillation. A 100 m3/day commercial-scale MEDAD project was commissioned in Riyadh in 2017 in collaboration with KACST, and a larger 2,000 m3/day project is planned for Yanbu. Why it matters: This highlights Saudi Arabia's move towards sustainable energy and the role of research institutions like KAUST in developing cost-effective desalination technologies suitable for the region.
The Symposium on Data Mining and Applications (SDMA 2014) was organized by MEGDAM to foster collaboration among data mining and machine learning researchers in Saudi Arabia, GCC countries, and the Middle East. The symposium covered areas such as statistics, computational intelligence, pattern recognition, databases, Big Data Mining and visualization. Acceptance was based on originality, significance and quality of contribution.
The paper introduces MedNNS, a neural network search framework designed for medical imaging, addressing challenges in architecture selection and weight initialization. MedNNS constructs a meta-space encoding datasets and models based on their performance using a Supernetwork-based approach, expanding the model zoo size by 51x. The framework incorporates rank loss and Fréchet Inception Distance (FID) loss to capture inter-model and inter-dataset relationships, improving alignment in the meta-space and outperforming ImageNet pre-trained DL models and SOTA NAS methods.
KAUST and the Al-Madinah Region Development Authority (MDA) signed an MoU to enhance efficiency, resiliency, and safety in Al-Madinah. KAUST will share high-resolution climate change projections and assess soil loss dynamics. The collaboration aims to tackle challenges in the environmental and water sectors through research, development, and training. Why it matters: This partnership showcases KAUST's role in translating research into practical smart city solutions for regional development, addressing critical environmental concerns.
The Russian Immune Diversity Atlas project aims to profile immune cells from people of different ancestries at a multiomics level. The goal is to reconstruct a reference atlas of the healthy immune system and investigate its perturbations in Type II Diabetes (T2D). The project seeks to identify novel mechanisms and genetic/epigenetic markers for early T2D diagnostics, prognosis, and therapy as part of the international Human Cell Atlas. Why it matters: Addressing genetic diversity in biomedical research, particularly in the context of the Human Cell Atlas, is crucial for personalized medicine and ensuring that treatments are effective across diverse populations in the Middle East and globally.
KAUST research scientist Dr. Maged Saad is working on unconventional methods for global food security within the Desert Agriculture Initiative. His research involves using selected strains of bacteria to increase salt tolerance and crop productivity in desert plants. Dr. Saad aims to convert this technology into a marketable product by securing intellectual property rights, testing prototypes with Saudi farmers, and establishing a startup. Why it matters: This research aligns with Saudi Arabia's Vision 2030 goals to enhance local agricultural production and promote sustainable solutions for food security in arid environments.
MBZUAI hosted the 2024 Middle East Advancement Conference (MEAC) in Abu Dhabi, gathering over 50 delegates from global educational institutions. The conference, organized by the Council for Advancement and Support of Education (CASE), focused on international best practices in areas like alumni relations and student recruitment. The event included discussions on the impact of AI on advancement professionals and featured leaders from MBZUAI, NYU Abu Dhabi, and Heriot-Watt University Dubai. Why it matters: The conference highlights the UAE's growing role as a hub for educational innovation and its commitment to fostering a globally networked approach to talent development in the AI era.