KAUST alumna Yuan Yan received an honorable mention from the American Statistical Association (ASA) for her paper on "Vector Autoregressive Models with Spatially Structured Coefficients for Time Series on a Spatial Grid." Yan, who graduated from KAUST in 2018, was part of Professor Marc Genton's Spatio-Temporal Statistics & Data Science group. She is now a postdoctoral fellow at Dalhousie University, researching fisheries science using spatial statistical models. Why it matters: This recognition highlights the quality of research and education at KAUST, especially in the field of spatio-temporal statistics, and its impact on addressing real-world sustainability challenges.
KAUST alumnus Jian Pan (M.S. '11) is working as general manager of Hangzhou Bertzer Catalyst, a water/wastewater treatment and pollution control technology company in China. Prior to this role, he worked at the King Abdullah Petroleum Studies and Research Center and the Environmental Technology Innovation Center of Jiande. He also developed 12 technologies/products, including catalysts for advanced wastewater treatment and a portable water guarantee system. Why it matters: This highlights KAUST's role in nurturing talent that contributes to environmental solutions globally, specifically in water treatment and pollution control.
MBZUAI Assistant Professor Yuanzhi Li has been awarded a Sloan Research Fellowship in computer science by the Alfred P. Sloan Foundation. The fellowship recognizes early-career researchers for creativity, innovation, and research accomplishments. Li's research focuses on deep learning theory, including hierarchical feature learning in neural networks and optimization algorithms. Why it matters: This prestigious fellowship highlights MBZUAI's ability to attract and support high-caliber AI researchers, enhancing the institution's reputation and contributing to the growth of AI expertise in the UAE.
KAUST has appointed Dr. Chak Chan as the new dean of its Physical Science and Engineering (PSE) division, commencing in May 2023. Dr. Chan previously served as the Dean of the School of Energy and Environment at the City University of Hong Kong and brings over 14 years of administrative experience. His research focuses on the physical chemistry of the atmosphere, aligning with KAUST's focus on climate, livability, and sustainability. Why it matters: This appointment strengthens KAUST's leadership in physical science and engineering, particularly in areas related to environmental sustainability and interdisciplinary research, aligning with Saudi Arabia's priorities.
KAUST Associate Professor Xiangliang Zhang is using machine learning to analyze social media posts on Twitter related to COVID-19. Her team at KAUST's Computational Bioscience Research Center is analyzing sentiment in tweets using hashtags like #coronavirus and #covid19. Zhang aims to use this data to help predict localized outbreaks and provide an early warning system for governments and organizations. Why it matters: This research demonstrates the potential of AI-powered sentiment analysis to support public health efforts and inform decision-making during pandemics in the Middle East and globally.
Yanwei Fu from Fudan University will present research on multimodal models, robotic grasping, and fMRI neural decoding. Topics include few-shot learning, object-centered self-supervised learning, image manipulation, and visual-language alignment. The research also covers Transformer compression and applications of large models with MVS 3D modeling in robotic arm grasping. Why it matters: While the talk is not directly about Middle East AI, the topics covered are core to advancing AI research and applications in the region.
A Mixture of Experts (MoE) layer is a sparsely activated deep learning layer. It uses a router network to direct each token to one of the experts. Yuanzhi Li, an assistant professor at CMU and affiliated faculty at MBZUAI, researches deep learning theory and NLP. Why it matters: This highlights MBZUAI's engagement with cutting-edge deep learning research, specifically in efficient model design.
MBZUAI PhD student Salem AlMarri, also a Dubai Police officer, has been appointed to the Dubai Youth Council for 2023-2025. AlMarri's research focuses on using AI to combat crime and improve emergency response times, aiming to contribute to the UAE's AI strategy. In 2019, he was recognized as one of the UAE’s up and coming scientist at the Her Highness Sheikha Fatima Bint Mubarak Program for Excellence and Community Intelligence. Why it matters: This appointment highlights the UAE's focus on empowering young talent in AI to drive innovation and address local challenges in public safety and smart city development.