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Professor Mohamed-Slim Alouini elected to the U.S. National Academy of Engineering

KAUST ·

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.

Mohamed-Slim Alouini elected as 2021 OSA Fellow

KAUST ·

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.

Professor Alouini honored at the First OIC Summit on Science and Technology

KAUST ·

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.

Mohsen Guizani et al. win CSIM best journal paper award

MBZUAI ·

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.

Professor Mérouane Debbah, co-authors receive 2022 IEEE TAOS TC Best GCSN Paper Award

TII ·

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.

Abla Kammoun receives IEEE Wireless Communication Letters Award

KAUST ·

KAUST Research Scientist Abla Kammoun received the IEEE Wireless Communication Letters (WCL) Top Editor Award for contributions to the review process. Kammoun's research focuses on random matrix theory, wireless communication systems, signal processing, big data, and machine learning. She joined the WCL editorial board in 2015 and was recognized for ensuring a fast, fair, and valuable review process. Why it matters: The award highlights KAUST's contributions to advancing wireless communication technologies and recognizes the important role of peer review in maintaining quality in the field.

Professor Mérouane Debbah to accept awards for two research papers at the 2022 IEEE ICC in Seoul

TII ·

MBZUAI's Prof. Mérouane Debbah will receive two awards at the 2022 IEEE ICC in Seoul. One paper analyzes reconfigurable intelligent surfaces (RISs) for 6G, highlighting spectral efficiency gains. The other paper explores energy-efficient distributed AI algorithms using quantized neural networks. Why it matters: This recognition highlights MBZUAI's contributions to cutting-edge research in wireless communications and sustainable AI, positioning the institute as a leader in these fields.