KAUST Professor Yu Han has received the Humboldt Research Award for his work in nanostructured materials and electron microscopy. The award sponsors a research project in Germany in collaboration with experts at a German institution; Han was nominated by Dr. Stefan Kaskel at Technische Universität Dresden (TU Dresden). Han will visit TU Dresden to explore collaborations in nanoporous materials and electron microscopy, expanding on an existing project imaging flexible metal-organic frameworks. Why it matters: The award recognizes KAUST's contributions to advanced materials research and facilitates international collaboration in a key area for catalysis and separation technologies.
KAUST alumnus Yu Li was named in Forbes' 30 Under 30 Asia List for his work developing algorithms to solve problems in biology and healthcare. Li, now an assistant professor at CUHK, was recognized for his computational tools to identify antibiotic-resistant genes. His research focuses on computational biology, human health, biomolecular structure prediction, and AI-driven drug discovery. Why it matters: This recognition highlights the impact of KAUST's programs in fostering AI talent in the region, particularly in the growing field of bioinformatics and healthcare.
LibrAI is an AI startup founded by Xudong Han, a University of Melbourne PhD graduate, in December 2023 after the release of ChatGPT. The company focuses on advancing AI safety and responsible AI practices, building on Han's prior work creating FairLib, an open-source toolkit for fairness in deep neural networks. LibrAI's team of seven aims to create practical solutions ensuring AI is both responsible and revolutionary. Why it matters: The establishment of a startup focused on AI safety highlights growing awareness of ethical considerations in AI development within the region.
KAUST researchers, in collaboration with Nanyang Technological University, have discovered a unique chiral structure in gold nanowires. The nanowires exhibit a Boerdijk-Coxeter-Bernal (BCB) helix structure, achieved through a seed-mediated substrate growth method, reaching a minimum diameter of 3 nanometers. High-resolution transmission electron microscopy (HRTEM) at KAUST was crucial in revealing the structure. Why it matters: This breakthrough in chiral metallic nanowire production could lead to advancements in chemical separation, sensing, and catalysis due to the unique properties of chiral crystals.
Yuan-Kai Liu, a master’s student from KAUST, received the Outstanding Student Poster and PICO Award at the European Geosciences Union General Assembly 2017 for his poster on caldera ring-fault development. Liu's poster presented results from analogue experiments, including deformation characteristics from time-resolved digital image correlation and 3-D spatial photogrammetry data. His research focuses on ground deformation analyses of subsiding calderas, combining analogue experiments with numerical modeling. Why it matters: This award recognizes KAUST's contribution to earth science and engineering and highlights the university's focus on innovative research in geophysics.
KAUST Ph.D. student Hanan Mohammed and postdoctoral fellow Yizhou Zhang presented their research at the Falling Walls Conference in Berlin. Zhang presented a novel MXene-hydrogel composite with biosensing applications, while Mohammed discussed 3D data storage architectures to reduce data center energy consumption. They were selected after winning the KAUST Falling Walls Lab in September. Why it matters: Showcasing KAUST researchers' work on an international stage highlights the university's contributions to materials science and sustainable computing.
MBZUAI's Hanan Al Darmaki is working to improve automated speech recognition (ASR) for low-resource languages, where labeled data is scarce. She notes that Arabic presents unique challenges due to dialectal variations and a lack of written resources corresponding to spoken dialects. Al Darmaki's research focuses on unsupervised speech recognition to address this gap. Why it matters: Overcoming these challenges can improve virtual assistant effectiveness across diverse languages and enable more inclusive AI applications in the Arabic-speaking world.
MBZUAI Visiting Professor Haiyan Huang is working on bridging biology and AI by incorporating domain knowledge into modeling frameworks. She combines statistical principles, AI tools, and domain expertise to develop scientifically informed and statistically grounded methods. Her work addresses the challenge of extracting meaningful signals from complex biological data. Why it matters: This interdisciplinary approach can lead to more accurate and useful AI models for biological research and healthcare applications in the region.