Dr. Tabassum of York University, Toronto

Abstract :

This talk provides an in-depth exploration into resource management within 6G wireless networks, focusing on the vision, key performance indicators (KPIs), key enabling techniques (KETs), and the diverse array of services characteristic of these advanced networks. The distinct challenges inherent in 6G's resource management call for a pivotal shift towards artificial intelligence (AI) and machine learning (ML)-driven solutions, necessitating a departure from traditional optimization-centric approaches. This talk will shed light on generative AI and unsupervised ML strategies tailored to effectively address convex and non-convex resource management optimization problems. A key focus will be on deep unsupervised learning techniques for network resource allocation, addressing non-linear and non-convex constraints. Deep implicit layers and differentiable projection methods will be explored as mechanisms to ensure zero constraint violations in applications such as beamforming, phase-shift optimization, and power allocation. Furthermore, the potential of generative AI models, including large language models (LLMs), to enable proactive network resource allocation will be examined, highlighting their role in optimizing performance and reducing reliance on traditional heuristics. The session will conclude by identifying key research gaps and future directions, paving the way for next-generation AI-driven wireless networks.

Biography:

Dr. Hina Tabassum, received the Ph.D. degree from the King Abdullah University of Science and Technology (KAUST). She is currently an Associate Professor with the Lassonde School of Engineering, York University, Canada, where she joined as an Assistant Professor, in 2018. She is also appointed as a Visiting Faculty at University of Toronto in 2024 and the York Research Chair of 5G/6G-enabled mobility and sensing applications in 2023, for five years. Prior to that, she was a postdoctoral research associate at University of Manitoba, Canada. She has been selected as IEEE ComSoc Distinguished Lecturer (2025-2026). She is listed in the Stanford’s list of the World’s Top Two-Percent Researchers in 2021-2024. She received the Lassonde Innovation Early-Career Researcher Award in 2023 and the N2Women: Rising Stars in Computer Networking and Communications in 2022. She has been recognized as an Exemplary Editor by the IEEE Communications Letters (2020), IEEE Open Journal of the Communications Society (IEEE OJCOMS) (2023-2024), and IEEE Transactions on Green Communications and Networking (2023). She was recognized as an Exemplary Reviewer (Top 2% of all reviewers) by IEEE Transactions on Communications in 2015, 2016, 2017, 2019, and 2020. She is the Founding Chair of the Special Interest Group on THz communications in IEEE Communications Society (ComSoc)-Radio Communications Committee (RCC). She served as an Associate Editor for IEEE Communications Letters (2019-2023), IEEE OJCOMS (2019-2023), and IEEE Transactions on Green Communications and Networking (2020-2023). Currently, she is also serving as an Area Editor for IEEE OJCOMS and an Associate Editor for IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Mobile Computing, and IEEE Communications Surveys & Tutorials.

Email:

Address:York University, Department of Electrical Engineering & Computer Science, Toronto, Quebec, Canada