KAUST has received Approved Employer status from the Association of Chartered Certified Accountants (ACCA), becoming the first university in Saudi Arabia to earn this recognition. The award acknowledges KAUST's 'Finance Futures' program, which allows Saudi participants to gain ACCA's professional accounting qualification. Fazeela Gopalani, Head of ACCA Middle East, praised KAUST on its continuous professional development programs during the award ceremony. Why it matters: This accreditation enhances KAUST's reputation as a leading institution committed to developing local talent in finance, aligning with Saudi Arabia's Vision 2030 goals for economic diversification.
KAUST Associate Professor Muhammad Mustafa Hussain has been elected as a fellow of the American Physical Society (APS). Hussain's research focuses on creating paper-based sensors using low-cost materials to mimic human skin sensory functions. He was selected in recognition of his work at KAUST. Why it matters: Recognition of researchers at GCC universities by international professional societies helps to raise the profile of regional research efforts.
KAUST Professor Jeff Shamma has been elected as a fellow of the International Federation of Automatic Control (IFAC). IFAC is a multinational federation dedicated to the advancement of control engineering. Shamma is a professor of electrical and computer engineering at KAUST. Why it matters: This recognition highlights KAUST's contributions to the field of control engineering and the university's growing international reputation.
KAUST and the Jeddah Chamber of Commerce and Industry (JCCI) signed an MoU to foster investment in SMEs, build a digital transformation strategy, and develop AI initiatives. As part of the collaboration, KAUST will receive a seat on JCCI's Industrial council and provide access to its laboratories and technology. The partnership aims to bridge the gap between research and industry, supporting local SMEs and entrepreneurs in Jeddah. Why it matters: This partnership strengthens KAUST's role in driving economic development and AI adoption in Saudi Arabia, aligning with the Kingdom's Vision 2030 goals for SME empowerment and technological advancement.
KAUST highlights postdoctoral fellows Yi Jin Liew, Isabelle Schulz, Maren Ziegler and Neus Garcias Bonet outside the University Library. The article mentions King Abdullah bin Abdulaziz Al Saud (1924 – 2015). It encourages applications to KAUST's Discovery Postdoctoral program. Why it matters: This brief announcement signals KAUST's ongoing investment in attracting international research talent to Saudi Arabia.
This paper introduces BRIQA, a new method for automated assessment of artifact severity in pediatric brain MRI, which is important for diagnostic accuracy. BRIQA uses gradient-based loss reweighting and a rotating batching scheme to handle class imbalance in artifact severity levels. Experiments show BRIQA improves average macro F1 score from 0.659 to 0.706, especially for Noise, Zipper, Positioning and Contrast artifacts.
KAUST representatives from various research centers will attend the American Chemical Society National Meeting & Exposition in Denver. The aim is to showcase KAUST's research capabilities and international connections to potential staff, faculty, and students. KAUST seeks to emphasize that it is a globally connected research institution with state-of-the-art equipment and world-class faculty. Why it matters: This participation helps KAUST attract talent and build collaborations by dispelling perceptions of isolation from cutting-edge research in the Middle East.
Xiao Wang from Purdue University presented research on Adversarial Contrastive Learning (AdCo) and Cooperative-adversarial Contrastive Learning (CaCo) for improved self-supervised learning. He also discussed CryoREAD, a framework for building DNA/RNA structures from cryo-EM maps, and future work in deep learning for drug discovery. Wang's algorithms have impacted molecular biology, leading to new structure discoveries published in journals like Cell and Nature Microbiology. Why it matters: The research advances AI techniques for crucial tasks in molecular biology and drug discovery, with potential applications for institutions in the GCC region focused on healthcare and biotechnology.