MBZUAI graduate Ahmed Elhagry received the Best Ph.D. Forum Paper Award at IEEE MetaCom 2023 for his work on generating virtual worlds using digital twin technology and AI through a text-to-metaverse pipeline. The research addresses the challenge of manually constructing 3D models for metaverse applications, which is time-consuming and costly. Elhagry's approach uses multimodal AI and DT technology to produce realistic virtual environments, benefiting industries like education, healthcare, and entertainment. Why it matters: This award recognizes innovative research at MBZUAI with the potential to advance metaverse development and AI-driven virtual environment creation in the region.
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.
MBZUAI graduate Maryam Mohamed Buty Alghfeli's master's research focused on using the metaverse to enhance intelligent transportation systems and vehicular networks. Her work proposed a framework for sensing, communication, and task offloading in the vehicular metaverse, addressing challenges related to computing and communication resource constraints. The research also considered self-sustainability and proactive learning approaches to improve network operation and serve autonomous vehicles. Why it matters: This research contributes to the development of more efficient and resilient autonomous vehicle networks, which are crucial for the future of smart cities and transportation in the UAE and beyond.
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.
Researchers from the AI and Digital Science Research Center (AIDRC) won the Best Paper Award at the 2022 IEEE Global Communications Conference (GLOBECOM) for their paper "RSMA for Dual-Polarized Massive MIMO Networks: A SIC-Free Approach". The paper introduces a dual-polarized RSMA technique for downlink massive MIMO networks, using the polarization domain. Their approach relaxes the computational burden of successive interference cancellation and delivers high data rates. Why it matters: This award recognizes impactful research from the UAE on optimizing wireless communication using AI, which can contribute to advancements in 5G and beyond.