KAUST Professor Zhiping Lai has been jointly awarded AIChE's 2020 Industrial Gases Award, along with Hae-Kwon Jeong from Texas A&M University. The award recognizes sustained excellence in advancing technology related to the production, distribution, and application of industrial gases. Lai was specifically recognized for his pioneering contributions to metal-organic framework membranes for gas separations development as part of the KAUST Advanced Membranes and Porous Materials Center. Why it matters: This award highlights KAUST's leadership in advanced materials research and its potential impact on energy-efficient separation technologies in the region and globally.
KAUST startup Lihytech has raised US$6 million in funding from Ma'aden and the KAUST Innovation Ventures Fund. Lihytech's patented membrane technology, developed by Professor Zhiping Lai at KAUST, extracts battery-grade lithium from sources like seawater. The funding will be used to build a pilot facility at KAUST to extract lithium from the Red Sea and other in-Kingdom resources. Why it matters: This investment supports Saudi Arabia's goal of developing a complete electric vehicle value chain and becoming a key player in meeting global lithium demand.
KAUST Professor Xin Gao, lead of the Structural and Functional Bioinformatics Group, advocates for interdisciplinarity in academic research, specifically merging AI and bioinformatics. Gao, formally trained in computer science with no formal biology training, integrated biological knowledge independently. At KAUST, he synchronized bioinformatics, machine learning, and AI, despite the challenges of dividing efforts between disciplines. Why it matters: Gao's success highlights the growing importance of interdisciplinary approaches in AI research, particularly in bridging computational methods with specialized domains like biomedicine to drive innovation.
MBZUAI Professor Kun Zhang's research focuses on causality in AI systems, aiming to understand underlying processes beyond data correlation. He emphasizes the importance of causality and graphical representations to model why systems produce observations and account for uncertainty. Zhang served as a program chair at the 38th Conference on Uncertainty in Artificial Intelligence (UAI) in Eindhoven. Why it matters: This highlights the growing importance of causality and uncertainty in AI research, crucial for responsible AI deployment and decision-making in the region.
MBZUAI faculty member Dr. Hang Dai won first and second place in the Commands 4 Autonomous Vehicles (C4AV) Workshop Challenge at ECCV 2020. Dr. Dai participated in the competition as part of two teams, earning top spots for using AI in autonomous vehicles. The C4AV Workshop Challenge aims to develop models for joint understanding of vision and language in self-driving cars. Why it matters: This win demonstrates MBZUAI's commitment to advancing AI research and its applications in key areas like autonomous vehicles.
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.
TII Chief Researcher Mérouane Debbah and MBZUAI President Eric Xing visited École Polytechnique in France to discuss AI research and training. They reviewed AI projects and opportunities to increase the visibility of UAE-led research. The meeting aimed to strengthen collaboration between MBZUAI, TII, and École Polytechnique. Why it matters: Such partnerships can foster knowledge exchange and accelerate AI innovation in the UAE by leveraging international expertise.