Artificial intelligence has been assigned a key role in the process of selecting winners for the Abu Dhabi government performance award. This integration aims to enhance the objectivity and efficiency of evaluating government entities and their achievements. The move signifies a strategic step towards leveraging advanced technology for governance and public sector assessment within the Emirate. Why it matters: This demonstrates a growing trend of AI adoption within governmental functions to improve decision-making and operational efficiency across the Middle East.
KAUST Professor Peter Richtárik received a Distinguished Speaker Award at the Sixth International Conference on Continuous Optimization (ICCOPT 2019) in Berlin. Richtárik's lecture series, totaling six hours, focused on stochastic gradient descent (SGD) methods, drawing from recent research by his KAUST group. He highlighted key principles and new variants of SGD, the key method for training modern machine learning models. Why it matters: This award recognizes KAUST's contribution to fundamental machine learning optimization, which is critical for advancing AI in the region.
KAUST Professors Mohamed Eddaoudi and Omar Knio have received the Abdul Hameed Shoman Award for Arab Researchers. Eddaoudi was recognized for his work on metal-organic frameworks (MOFs) for clean energy and carbon capture, while Knio was honored for his contributions to mathematical modeling and simulation of thermo-fluid systems. The award, established in 1982, recognizes outstanding scientific output and aims to encourage a culture of scientific research in the Arab world. Why it matters: This recognition highlights the impactful research being conducted at KAUST and underscores the importance of Arab researchers' contributions to solving regional and global challenges.
KAUST's Discovery Week featured a gala and awards ceremony. Professor Gilles Lubineau opened the proceedings at the 2017 WEP Final Gala. A Javanese shadow puppet performance of the “Ramayana Epic” was also part of the event. Why it matters: Showcases KAUST's commitment to cultural exchange alongside its research activities.
KAUST Professor Marc Genton has received the Royal Statistical Society’s (RSS) 2023 Barnett Award for his contributions to environmental statistics. Genton's work includes the development of ExaGeoStat, a high-performance software for geostatistics, and the use of spectral methods to emulate climate model outputs. His research includes a five-year study on wind energy potential in Saudi Arabia, informing the Kingdom’s national wind energy strategy. Why it matters: This award recognizes impactful environmental statistics research at KAUST with implications for Saudi Arabia's renewable energy sector and beyond.