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X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE)
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X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE)
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TZID:Asia/Hong_Kong
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TZOFFSETTO:+0800
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260410T100000
DTEND;TZID=Asia/Hong_Kong:20260410T110000
DTSTAMP:20260405T114154
CREATED:20260402T035329Z
LAST-MODIFIED:20260402T035329Z
UID:115545-1775815200-1775818800@ece.hku.hk
SUMMARY:RPG Seminar – Efficient AI for Neural Signal Decoding in Healthcare Applications
DESCRIPTION:Zoom Link:\nhttps://hku.zoom.us/j/93628966280 \nAbstract\nRecent advances in artificial intelligence have brought new momentum to healthcare driven by neural signal decoding. This seminar presents three lines of our research on AI-based neural signal analysis across diverse application domains\, including wearable EEG-based epileptic seizure detection\, emotion recognition in SSVEP-based brain–computer interfaces (BCIs)\, and multimodal neuroimaging-based tinnitus diagnosis. First\, for real-time epileptic seizure detection on resource-constrained wearable devices\, we propose a multi-scale LBP-based hyperdimensional computing framework that captures seizure-related temporal dynamics with a compact model size\, strong few-shot learning capability\, and improved interpretability. Second\, to enhance emotion-aware interaction in SSVEP-based BCIs\, we develop a valence-arousal disentangled representation learning method that separates core emotional factors\, extracts global affective features\, and improves cross-subject generalization. Third\, for objective tinnitus diagnosis\, we introduce TinnitusLLM\, a multimodal large language model that integrates EEG and fMRI through neuro-inspired positional encoding\, multimodal autoregressive pretraining\, and subject-invariant cross-modal fine-tuning. Across these studies\, our common goal is to build efficient\, interpretable\, and clinically meaningful learning frameworks for robust neural decoding in real-world healthcare and human–machine interaction scenarios. \nSpeaker\nMr Yipeng Du\nDepartment of Electrical and Computer Engineering\nThe University of Hong Kong \nBiography of the Speaker\nYipeng Du is currently pursuing the Ph.D. degree in the Department of Electrical and Electronic Engineering at The University of Hong Kong. He received the B.E. degree in Communication Engineering from the University of Science and Technology Beijing and the M.E. degree in Signal and Information Processing from Peking University. His research focuses on developing deep learning methods for neural signal processing in healthcare\, particularly for disease diagnosis\, monitoring\, and brain–computer interface applications. \nOrganiser\nProf Edith C.H. Ngai \nDepartment of Electrical and Computer Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20260410/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260415T153000
DTEND;TZID=Asia/Hong_Kong:20260415T163000
DTSTAMP:20260405T114154
CREATED:20260401T023508Z
LAST-MODIFIED:20260401T023508Z
UID:115523-1776267000-1776270600@ece.hku.hk
SUMMARY:RPG Seminar – Doppler LiDAR Motion Planning for Highly-Dynamic Environments
DESCRIPTION:Zoom Link:\nhttps://us05web.zoom.us/j/83514440427?pwd=4Lao2gGnkpLnw510JJXc0mXIaXCmJ5.1 \nAbstract\nExisting motion planning methods often struggle with rapid-motion obstacles due to an insufficient understanding of environmental changes. To address this limitation\, we propose integrating motion planners with Doppler LiDARs which provide not only ranging measurements but also instantaneous point velocities. However\, this integration is nontrivial due to the dual requirements of high accuracy and high frequency. To this end\, we introduce Doppler Planning Network (DPNet)\, which tracks and reacts to rapid obstacles using Doppler model-based learning. Particularly\, we first propose a Doppler Kalman neural network (D-KalmanNet) to track the future states of obstacles under partially observable Gaussian state space model. We then leverage the estimated motions to construct a Doppler-tuned model predictive control (DT-MPC) framework for ego-motion planning\, enabling runtime auto-tuning of the controller parameters. These two model-based learners allow DPNet to maintain lightweight while learning fast environmental changes using minimum data\, and achieve both high frequency and high accuracy in tracking and planning. Experiments on both high-fidelity simulator and real-world datasets demonstrate the superiority of DPNet over extensive benchmark schemes. \nSpeaker\nMr Wei Zuo\nDepartment of Electrical and Computer Engineering\nThe University of Hong Kong \nBiography of the Speaker\nWei Zuo received his bachelor’s degree from Beijing Institute of Technology (BIT) in 2024\, majored in Automation. He is currently an M.Phil. candidate at the Department of Electrical and Electronic Engineering\, the University of Hong Kong\, under the supervision of Prof. Yik-Chung Wu. His current research interests include robot perception and motion planning . \nOrganiser\nProf. Yik-Chung Wu \nDepartment of Electrical and Computer Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20260415/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260416T100000
DTEND;TZID=Asia/Hong_Kong:20260416T110000
DTSTAMP:20260405T114154
CREATED:20260323T025207Z
LAST-MODIFIED:20260323T025207Z
UID:115342-1776333600-1776337200@ece.hku.hk
SUMMARY:RPG Seminar – Evolving LEO Satellite Constellations into Multi-Service Platforms
DESCRIPTION:Abstract\nLow Earth orbit (LEO) satellite constellations offer global communication capabilities\, yet fundamental system challenges restrict their full utility. Specifically\, under increasing user demands\, these networks face difficulties in optimizing internal traffic distribution and efficiently delivering advanced content services. Furthermore\, seamlessly integrating space-based infrastructure with terrestrial systems to ensure resilient operations remains an unresolved issue. Solving these challenges is required to transition LEO constellations from basic connectivity relays into integrated service platforms. \nThis presentation explores optimization and extension strategies for evolving LEO satellite networks. Focusing first on the internal constellation network\, we begin with Matchmaker to address traffic distribution challenges through effective load balancing to enhance network performance. To ensure quality of service (QoS) in large-scale constellations\, an efficient heuristic algorithm that minimizes maximum satellite utilization and handovers is proposed. With this optimized network foundation\, we elevate the constellation’s capabilities through SpaceCache+\, transforming it into a space-based content delivery network (CDN). SpaceCache+ deploys cache-equipped satellites and optimizes cache replacement by managing dynamic coverage and regional preferences through zero-shot meta-learning and spatial-temporal mixing. Having expanded the constellation’s internal capacity\, we finally project its utility outward to assist terrestrial infrastructure via SpaceHelper. This work integrates satellite resources with terrestrial software-defined wide area networks (SD-WANs) to construct a resilient out-of-band control plane\, ensuring rapid reconnection during terrestrial link failures. Together\, these works illustrate a continuous system evolution\, advancing LEO networks from basic Internet access to comprehensive space-based multi-service platforms. \nSpeaker\nMr Dou Songshi\nDepartment of Electrical and Computer Engineering\nThe University of Hong Kong \nBiography of the Speaker\nSongshi Dou received B.E. degree from North China Electric Power University\, Beijing\, China\, in 2019\, and M.E. degree from Beijing Institute of Technology\, Beijing\, China\, in 2022. He is currently pursuing Ph.D. degree at The University of Hong Kong\, Hong Kong SAR\, China. His research interests cover satellite Internet\, software-defined networking\, and traffic engineering. \nOrganiser\nProf. Lawrence K. Yeung\nDepartment of Electrical and Computer Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20260416/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
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:20260417T090000
DTEND;TZID=Asia/Hong_Kong:20260417T100000
DTSTAMP:20260405T114154
CREATED:20260402T024124Z
LAST-MODIFIED:20260402T024124Z
UID:115542-1776416400-1776420000@ece.hku.hk
SUMMARY:RPG Seminar – System Design for Wide-field Miniature Fluorescence Microscope
DESCRIPTION:Zoom Link:\nhttps://us05web.zoom.us/j/89432980495?pwd=LSDClCuSVwd9fL5oZaI532byF2aC1a.1 \nAbstract\nMiniature fluorescence microscope\, or miniscope\, is a compact fluorescence imaging system that integrates the excitation source\, optical filters\, imaging optics\, and image sensor into a small platform.  Among various technical approaches\, one-photon widefield miniscopes are especially attractive because of their relatively simple architecture\, strong engineering feasibility\, and compatibility with two-dimensional superficial imaging tasks. However\, existing miniscope systems still face important challenges\, particularly in balancing a large field of view with high spatial resolution\, maintaining image quality across the full field\, and achieving compact system integration. \nThis seminar focuses on the optical design of one-photon widefield miniature fluorescence microscopes for two-dimensional superficial imaging\, with the main emphasis placed on a single-channel system. The study investigates the key design considerations of excitation and emission light separation\, imaging optics configuration\, aberration control\, and system compactness\, aiming to achieve high-resolution fluorescence imaging over a relatively large field of view within a miniature platform. On this basis\, scalable multi-channel architectures are briefly considered as extensions to examine the feasibility of multi-channel integration in miniature fluorescence imaging systems. The work provides a system-oriented design framework for one-photon widefield miniscopes and highlights practical strategies for improving imaging performance\, structural integration\, and architectural scalability. \nSpeaker\nMr Wentao Ye\nDepartment of Electrical and Computer Engineering\nThe University of Hong Kong \nBiography of the Speaker\nWentao Ye is an MPhil student in the Department of Electrical and Computer Engineering at The University of Hong Kong\, supervised by Prof. Feifei Wang. He received his B.S. degree in Applied physics from Tianjin University in 2024. Her research interests include miniature fluorescence microscope and biomedical image processing. \nOrganiser\nProf. Feifei Wang \nDepartment of Electrical and Computer Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20260417/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260421T110000
DTEND;TZID=Asia/Hong_Kong:20260421T120000
DTSTAMP:20260405T114154
CREATED:20260326T042150Z
LAST-MODIFIED:20260326T090341Z
UID:115419-1776769200-1776772800@ece.hku.hk
SUMMARY:RPG Seminar – Fast customization of color centers in single nanodiamonds and its applications
DESCRIPTION:Zoom Link:\nhttps://hku.zoom.us/j/91528535994?pwd=pagmffbltruagBNPmFkEWo5sxaFJrN.1 \nAbstract\nDeterministic control of nitrogen–vacancy (NV) centers in nanodiamonds (NDs) is critical for emerging applications in quantum photonics and high-density optical data storage. Conventional approaches based on random irradiation and thermal annealing often lead to nondeterministic NV formation and lattice damage\, making it difficult to precisely control the optical properties of the color centers and resulting in low fabrication yields. In this seminar\, we present a rapid and targeted approach for customizing NV centers in pre-selected single nanodiamonds using a standard transmission electron microscope (TEM). A brief 1-second electron beam exposure enables NV formation without post-annealing while minimizing lattice damage. The resulting nanodiamonds exhibit stable optical and spin properties. Furthermore\, controlled TEM exposure can quench NV photoluminescence within tens of seconds\, enabling a fast write–erase process. Leveraging this capability\, we demonstrate a flexible nanodiamond-based optical data storage platform. This accessible and highly targeted method provides a powerful route for on-demand NV center engineering and opens new opportunities for quantum technologies and nanoscale photonic data storage. \nSpeaker\nMiss Jiaqi Li\nDepartment of Electrical and Computer Engineering\nThe University of Hong Kong \nBiography of the Speaker\nJiaqi Li received her BEng degree in Physics from South China Normal University in 2022. She is currently pursuing a PhD in the Department of Electrical and Computer Engineering at the University of Hong Kong. Her research focuses on the fabrication\, characterization\, and applications of nitrogen-vacancy (NV) centers in diamond materials\, particularly in nanodiamonds. \nOrganiser\nProf. Zhiqin Chu \nDepartment of Electrical and Computer Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20260421/
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:20260425T090000
DTEND;TZID=Asia/Hong_Kong:20260425T173000
DTSTAMP:20260405T114154
CREATED:20260310T093703Z
LAST-MODIFIED:20260326T023321Z
UID:115286-1777107600-1777138200@ece.hku.hk
SUMMARY:HKUECE: RoboLeague 2026 cum RoboCup Junior China Open (Hong Kong)
DESCRIPTION:*** Application deadline is on April 2\, 2026 (Thursday) at 8:00 pm ***\n\n🚀 Join the Excitement of Robotics!\n🌟 Please stay tuned to event-day announcements for any schedule adjustments or important updates! 🤩 \nCompetition Details\n📅 Date: April 25\, 2026 (Saturday)\n🕒 Time: 9:00 am – 5:30 pm\n📍Venue: The University of Hong Kong \nCompetition Description\nEngage your autonomous robots in thrilling challenges: \n– Soccer League (Open) （足球公開租）\n– Soccer League (Lightweight) （足球輕量組）\n– Soccer League (Standard Platform) （足球標準平台組）\n– Rescue League (Line) （搜救循線組）\n– Rescue League (Maze) （搜救迷宮組）\n– Mini-rescue League （迷你救援組） \nWho Can Join?\nTarget Audience: Secondary School Students Team\nFormation: 2-4 students ( any Forms ) per team from the same school \nKey Dates\n*Briefing Session: \n📅 Date: March 28\, 2026 (Saturday) @1:00 pm\n📍Venue: Online via Zoom \n*Application Deadline: \n📅 Date: April 2\, 2026 (Thursday) @8:00 pm \nRegistration & More Details\nhttps://linktr.ee/hkuecerl \nEnquiries\nPlease contact us via WhatsApp at 5793 9462 or email at hkuecerl@gmail.com\, using the subject line “HKUECERL2026 Enquiry”.
URL:https://ece.hku.hk/events/rl2026/
CATEGORIES:Highlights,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2026/03/1280-3.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261231
DTEND;VALUE=DATE:20270102
DTSTAMP:20260405T114154
CREATED:20250211T040402Z
LAST-MODIFIED:20251209T020148Z
UID:108666-1798675200-1798847999@ece.hku.hk
SUMMARY:NE
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URL:https://ece.hku.hk/events/naa/
CATEGORIES:No event
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2025/02/ne2.jpg
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