Events

Title: Generative AI and Deep Learning for Resource Allocation in 6G Wireless NetworksAbstract:This talk provides an in-depth exploration of resource management in 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 resource management call for a pivotal shift toward artificial intelligence (AI) and machine learning (ML)–driven solutions, requiring a departure from traditional optimization-centric <a href="http://approaches.The" target="_blank" title="approaches.The">approaches.The talk sheds light on generative AI and unsupervised ML strategies tailored to effectively address convex and non-convex resource management optimization problems. A key focus is placed on deep unsupervised learning techniques for network resource allocation under nonlinear and non-convex constraints. Deep implicit layers and differentiable projection methods are explored as mechanisms to ensure zero constraint violations in applications such as beamforming, phase-shift optimization, and power <a href="http://allocation.Furthermore" target="_blank" title="allocation.Furthermore">allocation.Furthermore, the potential of generative AI models, including large language models (LLMs), to enable proactive network resource allocation is examined, highlighting their role in optimizing performance and reducing reliance on traditional heuristics. The session concludes by identifying key research gaps and future directions, paving the way for next-generation AI-driven wireless <a href="http://networks.Co-sponsored" target="_blank" title="networks.Co-sponsored">networks.Co-sponsored by: Hong-chuan YangRoom: 660, Bldg: Engineering/Computer Science Building (ECS), 3800 Finnerty Road, Victoria, British Columbia, Canada, V8P 5C2

IEEE North Saskatchewan Section Meeting - May, 202657 Campus Dr, Saskatoon, Saskatchewan, Canada, S7N 5A9, Virtual: https://events.vtools.ieee.org/m/544435

Future of communication and sensing network is being transformed with the advancement in next generations of wireless with Beyond-5G, beyond-WiFi-8, ICAS, NTN, VR/XR/Metaverse, Digital-Twin and other emerging applications. Higher quality of experiences for connected future with ubiquitous lowest latency and superhigh data rate connectivity services will require innovative wireless technologies and communication hardware combined with AI/ML. Mobile platform integrated RF systems with antenna front ends are common factor for most of the wireless applications. Emerging usage scenarios will need intelligent mobile platforms with ultra-small form-factor, requiring co-design and heterogeneous integration of dis-similar semiconductor device, circuit and antenna technologies, in order to satisfy the desired application-specific performance criteria for the evolving use <a href="http://cases.This" target="_blank" title="cases.This">cases.This presentation will present the emerging technology trends and will focus on the antenna-integrated RF to mm-wave/THz array integrated frontend opportunities and challenges demanding new technology, design, development and integration. Example architectures to enablemultifunction microsystem platform will be <a href="http://discussed.Speaker(s):" target="_blank" title="discussed.Speaker(s):">discussed.Speaker(s): Dr. Debabani Choudhury, Agenda: - 6:30 - 7:00 PM Networking- 7:00 - 8:00 PM Technical TalkBldg: Cal Lutheran Center for Entrepreneurship (Hub101), 31416 Agoura Rd, Westlake Village, California, United States, 91361, Virtual: https://events.vtools.ieee.org/m/494694

As the semester comes to a close, we will be holding our Annual General Meeting (AGM) on May 6th to elect the 2026–2027 Executive Team of the IEEE BCIT Student <a href="http://Branch.Room:" target="_blank" title="Branch.Room:">Branch.Room: TBD, Bldg: TBD, Burnaby, British Columbia, Canada

Location TBC***CANCELED***Burnaby, British Columbia, Canada

Abstract: Large Language Models (LLMs) are emerging as a key enabler for reshaping wireless networks through their powerful reasoning and generalization capabilities. This talk begins with an overview of LLM fundamentals, followed by a discussion of their emerging applications in wireless systems, highlighting both the opportunities they create and the practical challenges they pose. Prompt engineering is introduced as a lightweight and effective alternative to fine-tuning, enabling accurate, context-aware, and resource-efficient decision-making. Two representative use cases will be presented. First, network resource allocation will be addressed through a unified multi-agent framework in which iterative prompting and structured feedback are used to solve constrained non-convex optimization problems, achieving scalable, feasible, and near-optimal performance. Second, intelligent decision-making for autonomous vehicular systems will be discussed through joint optimization of vehicle-to-infrastructure (V2I) communications and autonomous driving policies. Across these applications, LLM-driven frameworks demonstrate reduced time complexity and enhanced adaptability compared to conventional approaches. The talk concludes by outlining how such LLM-driven optimization frameworks can evolve into unified, foundation-model-based engines for end-to-end wireless network <a href="http://intelligence.Biography:" target="_blank" title="intelligence.Biography:">intelligence.Biography: HINA TABASSUM (Senior Member, IEEE) received the Ph.D. degree from the King Abdullah University of Science and Technology. 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 with the University of Toronto in 2024, and the York Research Chair of 5G/6G-enabled mobility and sensing applications in 2023, for five years. She is listed in the Stanford’s list of the World’s Top Two-Percent Researchers from 2021 to 2025. She has been selected as the IEEE ComSoc Distinguished Lecturer for the term 2025–2026. She has co-authored over 120 refereed articles in well-reputed IEEE journals, magazines, and conferences. Her current research interests include multiband 6G wireless communications and sensing networks, connected and autonomous systems, and AI-enabled network mobility and resource management solutions. She has earned numerous distinctions, including the N2Women Star in Networking and Communications (2025), Early Career Lassonde Innovation Award (2023), N2Women Rising Star in Networking and Communications (2022), multiple Exemplary Editor awards from IEEE journals, and appointment to the NSERC Discovery Grant Evaluation Group (2025–2028). She served as an Associate Editor for IEEE COMMUNICATIONS LETTERS from 2019 to 2023, IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY from 2019 to 2023, and IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING from 2020 to 2023. She is also currently serving as an Area Editor for IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY and an Associate Editor for IEEE TRANSACTIONS ON COMMUNICATIONS, IEEE TRANSACTIONS ON MOBILE COMPUTING, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, and IEEE COMMUNICATIONS SURVEYS AND <a href="http://TUTORIALS.Speaker(s):" target="_blank" title="TUTORIALS.Speaker(s):">TUTORIALS.Speaker(s): HINA TABASSUM, Room: EITC E1 270, Winnipeg, Manitoba, Canada

IEEE Kingston Section + Ingenuity Labs present Multi-Robots WorkshopThis event brings three multi-robots specialist from different backgrounds to talk about their research and tranding topics in the <a href="http://field.Registration" target="_blank" title="field.Registration">field.Registration is free for IEEE members and Ingenuity Labs membersDr. Melissa Greeff is an Assistant Professor at Queen's University and leads the Robora Lab. Her research interests include aerial robots, vision-based navigation, and safe learning-based <a href="http://control.Dr" target="_blank" title="control.Dr">control.Dr. P. Travis Jardine is an adjunct professor at Queen's University and is an early member of the Autonomous Robotics Research Group. His research lies at the intersection of control, learning, and cooperation in multi-agent robotic <a href="http://systems.Dr" target="_blank" title="systems.Dr">systems.Dr. Jean-Alexis Delamer is an Assistant Professor at St. Francis Xavier University. His primary research interests include Artificial Intelligence applied to Robotics, particularly Markov decision processes; POMDPs; Game Theory; Path Planning; <a href="http://UAVs.Speaker(s):" target="_blank" title="UAVs.Speaker(s):">UAVs.Speaker(s): Melissa, Travis, Jean-AlexisAgenda: 08:30 – 08:50 Registration & Morning Coffee08:50 – 09:00 Welcome & Introduction09:00 – 09:40 Technical Talk 1 –09:40 – 10:20 Technical Talk 2 –10:20 – 10:40 Coffee Break + Networking10:40 – 11:20 Technical Talk 3 –11:20 – 11:40 Panel Q&A / Open Discussion11:40 – 11:50 Closing RemarksRoom: 395, Bldg: Mitchell Hall, 69 Union St., Kingston, Ontario, Canada, K7L 2N9, Virtual: https://events.vtools.ieee.org/m/546171

The Graduate Research Conference (GRC) highlights the breadth and quality of graduate research across the department through keynote talks and student research presentations spanning diverse engineering domains. The conference fosters discussion, collaboration, and connection within the research community, providing graduate students with a platform to share their work and engage with the latest faculty-led research. This is a great opportunity to promote IEEE and attract IEEE Student <a href="http://membership.Room:" target="_blank" title="membership.Room:">membership.Room: Sears Atrium, Bldg: ENG, 245 Church Street, Toronto, Ontario, Canada, M5B 2K3

The IEEE Blockchain Forum is returning for the fourth time as part of (https://www.torontotechweek.com/). The goal of this compact one-day event is to congregate BUIDLers, researchers, academics, and engineers building blockchain protocols, infrastructure, and decentralized software <a href="http://applications.Note:" target="_blank" title="applications.Note:">applications.Note: (https://events.vtools.ieee.org/m/469545) counted with 200 participants and speakers from JP Morgan, the Bank of Canada, Mastercard, the Ethereum Enterprise Alliance, EY, Starknet, among <a href="http://others.Co-sponsored">others.[]Co-sponsored by: Toronto Tech Week and the Government of OntarioSpeaker(s): Lawrence Ley, Ken Timsit, Manuel Badel, Srisht Fateh Singh, Revanth Reddy Airre, Ngozi Nora Agwu, Douglas Heintzman, Nisrine Labcir, Griff Green, Thomas YouAgenda: Morning- Keynotes- Thought leadership talks from industry leaders- In-depth panelsLunch will be providedAfternoon- Technical talks- Workshops- Startups pitches and demosOntario Investment and Trade Centre, 250 Yonge Street, 35th Floor, Toronto, Ontario, Canada, M5B 2L7