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X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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TZID:Asia/Hong_Kong
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DTSTART;TZID=Asia/Hong_Kong:20260609T103000
DTEND;TZID=Asia/Hong_Kong:20260609T113000
DTSTAMP:20260612T055028
CREATED:20260601T100902Z
LAST-MODIFIED:20260601T100902Z
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SUMMARY:Seminar on AI-native 6G Architecture: Distributed Intelligence and Programmable Wireless Systems
DESCRIPTION:Abstract\nThis keynote examines the architectural transition from deterministic 5G design to AI-native 6G\, where intelligence is embedded across device\, RAN\, core\, operations\, and lifecycle layers to meet extreme targets in throughput\, latency\, positioning\, and energy efficiency. Rather than treating AI as an external optimisation layer\, the talk presents 6G as a distributed and federated system in which learned policies reshape core engineering\, radio control\, and spectrum management itself. The presentation then shows how this architectural shift brings together several structural enablers and consequences: network slicing and policy control in the core\, AI-assisted beamforming in the RAN\, RIS and NTN as programmable extensions of wireless coverage\, ISAC as a sensing-capable infrastructure layer\, and ONNX/Open RAN style interoperability as part of deployable openness. It also addresses the associated constraints\, including inference-driven energy costs\, the need for explainable AI and auditability\, outcome-based licensing for dynamic spectrum access\, and the operational challenge of post-quantum security at telecom scale. The keynote argues that 6G should be understood not as a faster air interface\, but as an integrated\, programmable\, and governable cyber-physical network system whose value and risk emerge from the interaction of its components. \nSpeaker\nProf. Soumaya CHERKAOUI\nPolytechnique Montréal\, Canada \nSpeaker’s Biography\nProf. Soumaya CHERKAOUI is a Full Professor at the Department of Computer and Software Engineering at Polytechnique Montréal\, Canada. Her research interests are in wireless networks. She specialises in the convergence of machine learning and communication networks\, as well as the application of quantum technologies in future communication systems. Before joining academia as a Professor in 1999\, she worked in the industry as a project leader on aerospace-related projects. Pr. Cherkaoui has published over 200 research papers in renowned journals and conferences. She has served as a guest editor and an editorial board member for several prestigious journals\, including IEEE Journal on Selected Areas in Communications (JSAC)\, IEEE Network\, IEEE Systems\, and Computer Networks (Wiley and Elsevier). Her research has led to successful technology transfers and has been recognised with multiple accolades\, including best paper awards\, most notably at the IEEE Communications Society’s flagship conference\, IEEE ICC 2017\, with recent awards at ICCSPA 2024\, GIIS 2025\, and IEEE LCN 2024. She has played key leadership roles in major conferences\, serving as the General Chair of IEEE LCN 2019\, Technical Co-Chair of IEEE ICC 2025\, and Symposium Co-Chair for IEEE ICC 2018\, IEEE Globecom 2018\, IEEE Globecom 2015\, and IEEE ICC 2014. Additionally\, she was Chair of the IEEE Communications Society’s Technical Committee on IoT\, Ad Hoc\, and Sensor Networks (2020–2021)\, the second-largest technical committee within IEEE ComSoc. Prof. Cherkaoui is the recipient of the C.C. Gotlieb Computer Award\, the Mirela Notere Award and the IEEE Bio-Inspired Computing STC Leadership Award and was recognised as a “Star” in Networking and Communications by N2Women. She is also an IEEE Communications Society Distinguished Lecturer. \nOrganiser\nProf. Edith Cheuk Han NGAI\nDepartment of Electrical and Computer Engineering\,\nThe University of Hong Kong \nSupported By \nTam Wing Fan Innovation Wing Two\n\nAll are welcome!
URL:https://ece.hku.hk/events/20260609-1/
LOCATION:Tam Wing Fan Innovation Wing Two\, G/F\, Run Run Shaw Building\, The University of Hong Kong
CATEGORIES:Highlights,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2026/06/1280-1.jpg
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DTSTART;TZID=Asia/Hong_Kong:20260617T110000
DTEND;TZID=Asia/Hong_Kong:20260617T120000
DTSTAMP:20260612T055028
CREATED:20260609T085437Z
LAST-MODIFIED:20260609T085437Z
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SUMMARY:RPG Seminar – Adaptive Lightweight Learning for Edge Non-Intrusive Load Monitoring
DESCRIPTION:Zoom Link \nhttps://us05web.zoom.us/j/88334748156?pwd=YXWVQUg4FEHYb9nucvsm78fqasXabh.1 \nAbstract\nNon-intrusive load monitoring provides appliance-level electricity consumption information from aggregate household measurements\, supporting residential energy management without installing sensors on individual appliances. Processing these measurements on local edge devices can provide timely feedback while preserving user privacy. However\, practical deployment remains difficult because edge devices have limited computing and memory resources\, and differences among households can reduce the accuracy of models trained elsewhere. This seminar presents a lightweight learning framework that enables non-intrusive load monitoring models to operate on resource-constrained devices and adapt to previously unseen households without requiring appliance-level labels from local users. The study examines the full process from preparing a model for edge deployment to improving its performance after deployment. Ultimately\, the framework enables accurate\, low-cost\, and privacy-preserving household energy monitoring across diverse edge devices and residential environments. \nSpeaker\nMr Taoyu LU \nDepartment of Electrical and Computer Engineering \nThe University of Hong Kong \nBiography of the Speaker\nTaoyu LU received the B.Eng. degree in electrical engineering and automation from Huazhong University of Science and Technology in 2024. He is currently pursuing the M.Phil. degree in electrical and electronic engineering at the University of Hong Kong. His current research interests include low-carbon energy systems and edge intelligence in smart grids. \nOrganiser\nProf. Yi WANG \nDepartment of Electrical and Computer Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20260617-1/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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