Soufiane Hayou of the National University of Singapore presented a talk at MBZUAI on principled scaling of neural networks. The talk covered leveraging mathematical results to efficiently scale neural networks. He obtained his PhD in statistics in 2021 from Oxford. Why it matters: Understanding neural network scaling is crucial for developing more efficient and powerful AI models in the region.
MBZUAI alumnus Abdulwahab Sahyoun launched SnowHeap LLC, an AI-powered data analytics company. Sahyoun, a machine learning engineer with roots in Lebanon, aims to provide strategic tech consulting and develop in-house AI products. He was inspired by MBZUAI and the UAE's startup ecosystem to pursue his entrepreneurial ambitions. Why it matters: The story highlights MBZUAI's role in fostering AI entrepreneurship and the UAE's attractiveness for AI ventures.
Dr. Mohamed Ferrag, a Lead Researcher at AIDRC, received the "Algeria Scopus Award" from Algeria's Ministry of Education and Higher Research for his contributions to computer science. Dr. Ferrag is an IEEE Senior Member and has authored many scientific papers and books. He was also ranked among the World's Top 2% Scientists from Stanford University in 2020-2022. Why it matters: This award recognizes and encourages scientific research and talent within the Algerian AI and computer science community.
Dr. Youssef Belmabkhout, a senior research scientist at KAUST's Advanced Membranes & Porous Materials Research Center, received the 2018 Young African Researchers Award from the Academy of Scientific Research and Technology of Egypt. The award recognizes his research in water, energy, and environmental sciences, specifically his work on Metal-Organic Frameworks (MOFs) for energy-efficient separations. Belmabkhout contributed to discovering MOF molecular sieves for separations like paraffin-isoparaffin and olefin-paraffin. Why it matters: This award highlights the growing recognition of materials science research in the region and KAUST's contributions to developing energy-efficient separation technologies.
Researchers developed Atlas-Chat, a collection of LLMs for dialectal Arabic, focusing on Moroccan Arabic (Darija). They constructed an instruction dataset by consolidating existing Darija language resources and translating English instructions. Atlas-Chat models (2B, 9B, 27B) outperform state-of-the-art and Arabic-specialized LLMs like LLaMa, Jais, and AceGPT on Darija NLP tasks. Why it matters: This work addresses the gap in LLM support for low-resource Arabic dialects, providing a methodology for instruction-tuning and benchmarks for future research.
KAUST Professor Mohamed Eddaoudi has won the 2023 Kuwait Prize in chemistry for his work on functional solid-state materials, specifically metal-organic frameworks (MOFs). His research focuses on innovative design strategies for these materials and their applications in gas separations, catalysis, energy storage, and carbon capture. Eddaoudi, a founding faculty member at KAUST since 2009, shares the prize with Prof. Nashaat Nassar from the University of Calgary. Why it matters: The award recognizes KAUST's research excellence and highlights the importance of materials science for energy and environmental sustainability within the Arab world.
Prof. Mérouane Debbah, Chief Researcher at the AI Cross-Center Unit and DSRC, has been ranked No. 1 in France and 180th globally in Electronics and Electrical Engineering by Research.com. He has an H-index of 98 and over 47000 citations. Debbah was also recognized as a 2022 AI 2000 Most Influential Scholar in Internet of Things for contributions between 2012 and 2021. Why it matters: This recognition highlights the growing AI research talent within the GCC region, particularly in areas related to communication technologies and IoT.
KAUST Ph.D. student Khalil Moussi won two awards at the IEEE International Conference on Nano/Micro Engineered and Molecular Systems for his research on a miniaturized drug delivery system. The system, developed in collaboration with KAIMRC, uses 3D printing and wireless power to deliver drugs for coronary artery disease treatment. The device features an electrochemical micro-pump, a 3D printed reservoir with microneedles, and a wireless powering unit, allowing customization for various in vivo drug delivery applications. Why it matters: This recognition highlights KAUST's contributions to biomedical engineering and its potential to develop innovative solutions for critical healthcare challenges in the region and beyond.