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X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
X-ORIGINAL-URL:https://ece.hku.hk
X-WR-CALDESC:Events for 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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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251203T110000
DTEND;TZID=Asia/Hong_Kong:20251203T120000
DTSTAMP:20260511T134219
CREATED:20251119T031108Z
LAST-MODIFIED:20251119T042716Z
UID:113971-1764759600-1764763200@ece.hku.hk
SUMMARY:RPG Seminar – Data-Driven Intelligence and Energy-Aware Edge–Cloud Collaboration for IoT Systems
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/92852691758?pwd=ApSXYeoYJk3Y5MLcS33duwNe4ZyTnM.1 \nAbstract\nThe rapid growth of Internet-of-Things (IoT) deployments\, combined with increasing adoption of edge computing\, has created substantial challenges in energy efficiency\, real-time intelligence\, and collaborative resource management. IoT systems—ranging from smart buildings to cellular base stations—exhibit highly dynamic\, heterogeneous\, and energy-intensive behaviors that require new data-driven methods for prediction and optimization. This seminar investigates a unified edge–cloud collaborative framework that advances intelligent energy management across large-scale IoT environments. The first part presents HALO\, a transformer-based HVAC load forecasting framework designed to address intrinsic complexities in real-world building operations. HALO incorporates adaptive preprocessing\, a multi-scale local–global attention architecture\, and a scale-fusion mechanism to handle data variability\, multi-temporal fluctuations\, and electronic sensor anomalies. Evaluations on six buildings with diverse climates and user patterns demonstrate that HALO significantly improves 24-hour load forecasting accuracy compared to state-of-the-art baselines. The second part introduces PATNet\, an incentive-aware framework for energy–computation collaboration in mobile edge computing (MEC) networks. Leveraging an Overlapping Coalition Formation model\, PATNet jointly optimizes MEC workload offloading\, backup-battery utilization\, and participation in real-world power adjustment (PA) incentive programs. Experiments using large-scale operational traces from up to 118\,000 base stations show that PATNet increases utility significantly over existing strategies while maintaining service reliability. Together\, HALO and PATNet demonstrate how data-driven prediction and energy-aware collaboration can be seamlessly integrated to enhance the intelligence\, efficiency\, and sustainability of next-generation IoT systems. \nSpeaker\nMs. Cheng Pan\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nCheng Pan is currently pursuing her Ph.D. in Electrical and Electronic Engineering at the University of Hong Kong under the supervision of Prof. Edith Ngai. She received her Master of Philosophy in Computer Science from the University of Hong Kong in 2023 and her Bachelor of Commerce degree in Management Information Systems from the University of Alberta in 2016. From 2016 to 2021\, she worked as a data specialist in the healthcare industry in Canada. Her research interests include the Internet of Things and multimedia. \nOrganiser\nProf. Edith C. H. Ngai\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20251203/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251203T140000
DTEND;TZID=Asia/Hong_Kong:20251203T150000
DTSTAMP:20260511T134219
CREATED:20251126T072623Z
LAST-MODIFIED:20251126T072623Z
UID:114300-1764770400-1764774000@ece.hku.hk
SUMMARY:RPG Seminar – Direct Data-driven Control for Marine Vehicles
DESCRIPTION:Zoom Link:  https://hku.zoom.us/j/91408893076?pwd=5rgw1jrHuqg5lKfbIba5O5OsJGZbdf.1 \nAbstract\nMarine vehicles play an essential role in modern ocean operations\, where reliable motion control is critical for safe\, precise\, and efficient task execution. This talk presents a direct data-driven control framework that synthesizes controllers directly from input–state–output data\, thereby bypassing the need for complex hydrodynamic modeling and system identification. We address two fundamental motion control problems: autopilot (heading) control and trajectory tracking. For the autopilot problem\, we design a linear state-feedback controller at each time step by solving a set of data-dependent linear matrix inequalities. The resulting controller guarantees internal stability together with a prescribed level of disturbance attenuation\, and we further establish iterative feasibility of the underlying optimization problem\, enabling real-time implementation. For the more challenging trajectory-tracking problem—which requires simultaneous regulation of heading and position and involves a kinetic subsystem with many unknown hydrodynamic parameters—we first derive a data-driven representation of the vessel kinetics. Building on this representation\, we formulate a robust data-based optimization problem for controller synthesis that ensures global uniform ultimate boundedness of the closed-loop system. \nSpeaker\nMr. Jinjiang Li\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nJinjiang Li is a Ph.D. student in the Department of Electrical and Electronic Engineering. He received his B.E. degree and M.E. degree from Dalian Maritime University and Huazhong University of Science and Technology\, respectively. His research focuses on data-driven control and motion control of robotics. \nOrganiser\nProf. Tao Liu\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20251203-3/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251203T163000
DTEND;TZID=Asia/Hong_Kong:20251203T173000
DTSTAMP:20260511T134219
CREATED:20251120T080002Z
LAST-MODIFIED:20251120T080002Z
UID:114039-1764779400-1764783000@ece.hku.hk
SUMMARY:RPG Seminar – Foldable Inverted Perovskite Solar Cells Enabled by Dual Strain Release
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/8157366378?omn=98994435560 \nAbstract\nThe poor mechanical durability of perovskite films due to the severe intrinsic strain\, and the brittle nature of the flexible ITO electrode hinder foldable perovskite solar cells (F-PSCs) realization. In this talk\, the strategy of region-dependent microscopic and macroscopic strain suppression is demonstrated to achieve efficient F-PSCs on silver nanowires (AgNWs) electrodes. Fundamentally\, by introducing the region-dependent modification approach of functionalized polymer incorporation\, the significant release of microscopic strain in perovskite film is demonstrated by effectively suppressing defects at places with crystallization orientation variation of perovskite surface/grain boundaries. Equally important\, the gradient macroscopic strain is simultaneously eliminated by inhibiting the FA+ (formamidinum) gradient distribution in perovskite film’s depth direction. The two-strain relaxations greatly enhance the mechanical durability of perovskite film\, while also improving phase stability and suppressing ion migration. Finally\, efficient F-PSCs (23% PCE) with remarkable foldability is realized.\n \nSpeaker\nMr. Biao Zhou\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nZHOU Biao received the M.S. degree from Sichuan University in 2022. He is currently pursuing his Ph.D. degree under the guidance of Prof. Wallace C. H. Choy at the Department of Electrical and Electronic Engineering\, the University of Hong Kong. His research interests include flexible photovoltaics\, semiconductor thin films fabrication and characterization. \nOrganiser\nProf. Wallace C.H. Choy\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20251203-2/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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