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KAUST chemist Yu Han receives prestigious Humboldt Research Award

KAUST ·

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 alum Yu Li makes Forbes' 30 Under 30 Asia List

KAUST ·

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.

AI Startup Spotlight Series: LibrAI

MBZUAI ·

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.

Faculty Focus: Xiaohang Li

KAUST ·

Xiaohang Li has joined the Computer, Electrical and Mathematical Science and Engineering Division at KAUST as an assistant professor of electrical engineering. He will focus on research and teaching within the electrical engineering domain. Why it matters: The appointment strengthens KAUST's faculty expertise in electrical engineering and related areas.

Royal Society of Chemistry elects KAUST professors to its ranks

KAUST ·

Five KAUST professors (Mohamed Eddaoudi, Omar F. Mohammed, Nivine Khashab, Osman Bakr, and Yu Han) have been elected as Fellows of the Royal Society of Chemistry for their work in materials science. Eddaoudi's work focuses on developing functional porous materials like KAUST-7 for carbon capture, aiming to reduce carbon emissions. Mohammed's group studies charge carrier dynamics at material surfaces. Why it matters: This recognition highlights KAUST's growing influence in advanced materials research and its contributions to addressing global challenges such as carbon capture and energy efficiency.

MBZUAI faculty member wins top prizes at European AI conference

MBZUAI ·

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.

Key Research in Embodied AI

MBZUAI ·

Dr. Hao Dong from Peking University presented research on addressing the challenge of limited large-scale training data in embodied AI, particularly for manipulation, task planning, and navigation. The presentation covered simulation learning and large models. Dr. Dong is a chief scientist of China's National Key Research and Development Program and an area chair/associate editor for NeurIPS, CVPR, AAAI, and ICRA. Why it matters: Overcoming data scarcity is crucial for advancing embodied AI research and enabling more sophisticated robotic applications in the region.

Unique structure of chiral gold nanowires discovered by KAUST researchers

KAUST ·

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.