Harnessing Multi-modal AI and Machine Learning for Next-Generation 6G Networks
This seminar explores how multi-modal AI and large language models can optimize future 6G wireless networks by integrating diverse data sources to enhance reliability, efficiency, and overall performance.
Overview
As 6G networks advance, the demand for reliable, efficient, and intelligent wireless communications intensifies, driven by the growing demand for seamless connectivity. This talk explores how machine learning, particularly multi-modal AI that integrates diverse data sources such as sensors and cameras, can significantly optimize wireless network performance. We discuss key trends like multi-modal sensing and its role in refining beamforming techniques, improving decision-making processes, and effectively allocating resources. Additionally, we briefly highlight the promising applications of large language models (LLMs) in supporting real-time network management decisions. These AI-driven advancements are poised to substantially enhance the reliability, efficiency, and trustworthiness of future 6G wireless systems.
Presenters
Brief Biography
Asmaa Abdallah is a Research Scientist at King Abdullah University of Science and Technology (KAUST). From 2021 till 2024, she was a Post-Doctoral Fellow at KAUST. In 2020, she received the Ph.D. degree in Electrical and Computer Engineering at the American University of Beirut (AUB), Beirut, Lebanon. In 2023, Dr. Abdallah has been selected by MIT technology review as one of the leading 15 Innovators under 35 in the MENA area. She currently serves as an editor for IEEE Communications Letters.
Asmaa Abdallah received the B.S. (with High Distinction) and M.S degree in computer and communications engineering from Rafik Hariri University (RHU), Lebanon, in 2013 and 2015, respectively. In 2020, she received the Ph.D. degree in electrical and computer engineering at the American University of Beirut (AUB), Beirut, Lebanon. Ms. Abdallah was the recipient of the Academic Excellence Award at RHU in 2013 for ranking first on the graduating class. She also received a scholarship from the Lebanese National Counsel for Scientific Research (CNRS-L/AUB) to support her doctoral studies.
