KAUST Professor Mohamed-Slim Alouini has been elected as a 2021 Fellow of the Optical Society (OSA) for his contributions to optical wireless communications. Alouini is a professor of electrical and computer engineering and the associate dean of the CEMSE Division at KAUST. He was also appointed by KAUST as Distinguished Professor, effective November 1, 2020. Why it matters: This recognition highlights KAUST's growing influence in cutting-edge research areas like wireless communication and optics within the Middle East.
KAUST Professor Mohamed-Slim Alouini received the Organization of Islamic Cooperation (OIC) Science and Technology (S&T) Achievement Award at the First OIC Summit on Science and Technology. The award recognizes Alouini's contributions to science and technology within the OIC member states. Why it matters: Recognition at the OIC level highlights KAUST's impact and Professor Alouini's leadership in advancing science and technology across the Islamic world.
Professor Mohamed-Slim Alouini of KAUST has been elected to the U.S. National Academy of Engineering for his contributions to wireless communication systems. Alouini is the first faculty member elected to the NAE while serving at KAUST, and his work focuses on non-terrestrial networks. He aims to extend connectivity to underserved regions and support applications like emergency response and environmental monitoring. Why it matters: This recognition highlights KAUST's ability to attract world-leading scholars and contributes to Saudi Vision 2030 by translating research into real-world impact.
Professor Mérouane Debbah, Chief Researcher at AIDRC, and his co-authors received the 2022 IEEE TAOS TC Best GCSN Paper Award for their work on federated quantized neural networks. The paper, presented at IEEE ICC 2022, explores the tradeoff between energy, precision, and accuracy in these networks. The research proposes an optimal quantization level to minimize energy consumption during training, making it less prohibitive for mobile devices. Why it matters: The award recognizes work that reduces the carbon footprint of large-scale AI systems, a key challenge for sustainable AI deployment in the region and globally.
MBZUAI's Associate Provost Mohsen Guizani and his co-authors won the IEEE ComSoc - CSIM Best Journal Paper Award for 2021 for their paper "Reliable Federated Learning for Mobile Networks." The award will be presented at the IEEE International Communications Conference in Seoul. The paper's findings are expected to improve the reliability of federated learning tasks in mobile networks. Why it matters: The award recognizes impactful research in federated learning, an area of growing importance for distributed AI applications, and highlights MBZUAI's increasing prominence in the field.