KAUST has appointed Dr. Donal Bradley, currently the dean for science and engineering at the University of Oxford, as its new vice president for research. Bradley, a fellow of the Royal Society, has over 630 publications and a Google Scholar h-index of 125. He previously served as VP for research at Imperial College London and brings experience in technology development, including co-founding Cambridge Display Technology Ltd. Why it matters: This appointment signals KAUST's continued commitment to attracting top international talent to drive its research and development efforts in science and engineering.
Three Saudi Arabian undergraduates, all alumni of KAUST's Young Talent Development programs, have been awarded the Rhodes Scholarship for postgraduate study at the University of Oxford. The Rhodes Trust selects only 100 international recipients annually. The students participated in programs such as the KAUST Gifted Student Program (KGSP) and the Saudi Research Science Institute (SRSI). Why it matters: This achievement highlights the impact of KAUST's educational initiatives in fostering Saudi talent and leadership in STEM fields.
KAUST master’s student Osama Dabbousi has been awarded the Rhodes Scholarship to study at the University of Oxford in 2026. Dabbousi's research involves high-performance computing, specifically GPU-accelerated, large-scale acoustic simulation, and he is an alumnus of the KAUST Gifted Student Program (KGSP). He credits KAUST's computational science training, GPU resources, and mentorship from Professor Matteo Parsani for his success. Why it matters: Dabbousi's selection highlights KAUST's role in developing Saudi talent and contributing to the Kingdom's research ambitions in fields like high-performance computing.
Two of the three Saudi Arabian undergraduates selected as 2022 Rhodes Scholars are current or former participants in KAUST programs. Ahmed, a KGSP student, aims to research Red Sea super corals, while Mohammed Alghadeer, a KAUST summer intern, will study condensed matter physics at Oxford. The Rhodes Scholarship provides full funding for graduate studies at the University of Oxford. Why it matters: This highlights KAUST's role in cultivating Saudi talent in STEM fields and fostering future leaders committed to global challenges.
MBZUAI has joined the Aspen Institute’s Technology Leaders Initiative as a founding partner, alongside the Institute for Ethics in AI at the University of Oxford. This two-year program within the Aspen Global Leadership Network will convene 20 senior leaders from the global technology ecosystem. The initiative aims to explore ethical innovation, responsible leadership, and the societal impact of technology. Why it matters: The partnership highlights MBZUAI's commitment to fostering responsible AI development and ethical leadership in the technology sector.
MBZUAI alumnus Ikboljon Sobirov is using AI to develop new diagnostic tools for cardiovascular disease at the University of Oxford. His research focuses on building imaging biomarkers by integrating transcriptomic data with medical scans. The goal is to predict how a patient will respond to specific medications using only images. Why it matters: This work showcases the potential of AI and multi-modal data to personalize medicine and improve healthcare outcomes in the region and globally.
KAUST's Winter Enrichment Program (WEP) 2024 focused on the theme "Digital Adventure – ride to the future," featuring lectures and activities related to machine learning, AI, and the future of technology. Speakers covered topics from quantum computing and robotics to smart cities and sustainable economies. Rick Fox discussed his company Partanna's work on revolutionizing concrete production with KAUST's Carlos Duarte as an advisor. Why it matters: The event highlights KAUST's role in fostering discussions around cutting-edge technologies and their impact on various sectors within the Kingdom and globally.
KAUST researchers found Y-series nonfullerene acceptors enhance the outdoor stability of organic solar cells, enabling energy-efficient windows. They also used satellite data to show managed vegetation can mitigate rising temperatures across Saudi Arabia's agricultural regions. Additionally, they developed DeepKriging, a deep neural network, to solve complex spatiotemporal datasets and tested it on air pollution. Why it matters: This research addresses critical challenges in renewable energy, climate change, and AI data privacy relevant to Saudi Arabia and the broader region.