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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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BEGIN:VTIMEZONE
TZID:Asia/Hong_Kong
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TZOFFSETFROM:+0800
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251105T140000
DTEND;TZID=Asia/Hong_Kong:20251105T150000
DTSTAMP:20260510T152018
CREATED:20251030T075345Z
LAST-MODIFIED:20251031T044737Z
UID:113735-1762351200-1762354800@ece.hku.hk
SUMMARY:Seminar on Seeing Beyond Vision: RF-Based Perception for Robust and Intelligent Sensing
DESCRIPTION:Abstract\nPerception and understanding of the physical world are fundamental to a wide range of applications\, from autonomous systems to smart healthcare and human-computer interaction. However\, traditional vision-based sensing (e.g.\, cameras and LiDAR) struggles in adverse weather conditions and occlusions. In this talk\, I will discuss how radio frequency (RF) signals provide a powerful alternative by penetrating visual barriers while maintaining high-resolution imaging capabilities. I will present our latest research on RF-based perception systems\, including high-resolution 3D RF imaging and RF-based SLAM for large-scale mapping. Our work leverages advanced signal processing and machine learning to bridge the gap between RF perception and optical sensing. I will conclude with a discussion on the future of RF-based sensing in autonomous vehicles\, smart healthcare\, and cyber-physical systems. \nSpeaker\nProf. Mingmin ZHAO\nAssistant Professor\,\nDepartment of Computer and Information Science\,\nUniversity of Pennsylvania \nSpeaker’s Biography\nMingmin ZHAO is an Assistant Professor in the Department of Computer and Information Science at the University of Pennsylvania\, where he leads the Wireless\, Acoustic\, Vision & Electronics for Sensing (WAVES) Lab. His research focuses on novel sensing modalities that leverage radio frequency (RF) signals\, AI\, and machine learning to enable robust perception in challenging environments. He is a recipient of the ACM SIGMOBILE Doctoral Dissertation Award Runner-up\, the ACM SIGMOBILE Research Highlights\, the CACM Research Highlights\, the Baidu Fellowship\, and the Yunfan Award for Rising Stars in AI. His research on contactless health monitoring has been adopted by the industry and deployed in major hospitals and patients’ homes across the United States. He received his Ph.D. from the Electrical Engineering and Computer Science Department at MIT in 2021\, and his B.S. in Computer Science from Peking University in 2015. \nOrganiser\nProf. Edith C. H. NGAI\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong
URL:https://ece.hku.hk/events/20251105-1/
LOCATION:Tam Wing Fan Innovation Wing Two\, G/F\, Run Run Shaw Building\, The University of Hong Kong
CATEGORIES:Highlights,Seminar
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251107T103000
DTEND;TZID=Asia/Hong_Kong:20251107T113000
DTSTAMP:20260510T152018
CREATED:20251021T065855Z
LAST-MODIFIED:20251021T075021Z
UID:113661-1762511400-1762515000@ece.hku.hk
SUMMARY:AI-Empowered Mobile Edge Computing Networks
DESCRIPTION:Abstract\nThis talk explores the emerging paradigm of AI-empowered mobile edge computing (MEC)\, where edge nodes jointly perform wireless communication\, computation\, and sensing close to users. By colocating learning with connectivity and sharing hardware and spectrum\, MEC cuts latency and energy while enabling advanced\, privacy-aware services at scale. We focus on three pillars and demonstrate how their structure can be leveraged at the edge: (1) machine learning on encrypted data\, showing how ciphertext-compatible training/inference and federated orchestration deliver useful models without exposing raw data; (2) an edge-native metaverse\, where rendering\, state sync\, and perception are partitioned across device-edge-cloud for millisecond responsiveness; and (3) ML for cyberattack detection\, protecting networks from emerging attacks in real-time. \nSpeaker\nProf. Hoang DIHN\nUniversity of Technology Sydney\, Australia \nSpeaker’s Biography\nProf. Hoang DIHN received his Ph.D. degree from the School of Computer Science and Engineering\, Nanyang Technological University\, Singapore\, in 2016. He is currently an associate professor at the University of Technology Sydney (UTS)\, Australia. Over the last ten years\, he has significantly contributed to advanced wireless communications and networking systems. His excellent record evidences this with one patent filed by Apple Inc.\, five books\, eight book chapters\, more than 120 IEEE Q1 journals and 80+ flagship IEEE conference papers in communications and networking. Most of his journal papers have been published in top IEEE journals\, including IEEE JSAC\, IEEE TWC\, IEEE COMST\, and IEEE TMC. Furthermore\, his research papers have had a high impact\, evidenced by more than 20\,000 citations over the last ten years.  Since joining UTS in 2018\, he has received more than AUD 6 million in external funding and several precious awards\, including the Australian Research Council Discovery Early Career Researcher Award for his project “Intelligent Backscatter Communications for Green and Secure IoT Networks\,” IEEE TCSC Award for Excellence in Scalable Computing for Contributions on “Intelligent Mobile Edge Computing Systems” (Early Career Researcher)\, and IEEE TCI Rising Star Award for “Technical Contributions on the Internet.” Alternatively\, he is the lead author of two authored books\, “Ambient Backscatter Communication Networks\,” published by Cambridge University Press in 2020\, and “Deep Reinforcement Learning for Wireless Communications and Networking\,” published by IEEE-Wiley Publisher in 2022. He is currently an Editor of IEEE TMC\, IEEE TWC\, IEEE TCCN\, IEEE TVT\, and IEEE COMST. \nRead more Prof. Dihn’s biography: https://profiles.uts.edu.au/Hoang.Dinh \nOrganiser\nProf. Hongyang DU\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong\n\nAll are welcome!
URL:https://ece.hku.hk/events/20251107-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Highlights,Seminar
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251107T160000
DTEND;TZID=Asia/Hong_Kong:20251107T170000
DTSTAMP:20260510T152018
CREATED:20251103T012306Z
LAST-MODIFIED:20251103T012306Z
UID:113776-1762531200-1762534800@ece.hku.hk
SUMMARY:(Sub-)Terahertz Wireless Communications in 6G and Beyond
DESCRIPTION:Abstract\nFor decades\, the (sub-)terahertz (THz) frequency band (often defined as 300 GHz to 3 THz or broader\, 100 GHz – 10 THz) had been primarily explored in the context of radar\, imaging\, and spectroscopy\, where multi-gigahertz (GHz) and even THz-wide channels and the properties of terahertz photons offered attractive target accuracy\, resolution\, and classification capabilities. Meanwhile\, the exploitation of the terahertz band for wireless communication had originally been limited due to several reasons\, including (i) no immediate need for such high data rates available via terahertz bands and (ii) challenges in designing sufficiently high-power terahertz systems at reasonable cost and efficiency\, leading to what was often referred to as “the terahertz gap”. In theory\, the use of multi-GHz wide bands available in the THz spectrum also offers unprecedented opportunities for wireless links: up to Terabit-per-second data rate\, sub-millisecond latency\, and extreme secrecy of transmissions\, among others. Over the recent decade\, advances on many fronts have drastically changed the terahertz landscape. Some research contributions even claim that THz communications are an “essential enabler of 6G-grade connectivity”. However\, today\, there are many misconceptions related to THz communications and their possible role in 6G and beyond-6G networks. This short talk aims to clarify those misconceptions\, outline the real pressing challenges\, and\, finally\, discuss some latest R&D activities and results in the area. \nSpeaker\nProf. Vitaly PETROV\nKTH Royal Institute of Technology\, Stockholm\, Sweden \nSpeaker’s Biography\nVitaly PETROV is an Assistant Professor and Head of TERANET@KTH Research Lab\, Division of Communication Systems\, KTH Royal Institute of Technology\, Sweden. Before joining KTH in 2024\, he was a Principal Research Scientist at Northeastern University\, Boston\, MA\, USA (2022-2024) and a Senior Standardisation Specialist and a 3GPP RAN1 delegate with Nokia Bell Labs and later Nokia Standards (2020-2022). Vitaly received his PhD degree in communications engineering from Tampere University\, Finland\, in 2020. His research interests include mobile near-field terahertz band communications and networking. \nOrganiser\nProf. Kaibin HUANG\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nAll are welcome!
URL:https://ece.hku.hk/events/20251107-2/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Highlights,Seminar
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251110T163000
DTEND;TZID=Asia/Hong_Kong:20251110T173000
DTSTAMP:20260510T152018
CREATED:20251106T094008Z
LAST-MODIFIED:20251106T100516Z
UID:113831-1762792200-1762795800@ece.hku.hk
SUMMARY:3D Intelligent Metasurfaces and Their Applications
DESCRIPTION:Abstract\nIn this talk\, we will introduce two innovative types of 3D intelligent metasurfaces: Stacked Intelligent Metasurfaces (SIM) and Flexible Intelligent Metasurfaces (FIM). We will explore their exciting applications in wireless communication and sensing systems. Specifically\, SIM is a groundbreaking computing architecture that enables joint signal processing and communication in the electromagnetic (EM) domain. A SIM is fabricated by stacking an array of programmable metasurface layers\, where each layer consists of many low-cost passive meta-atoms that can individually manipulate EM waves. By appropriately configuring the passive meta-atoms\, a SIM can automatically accomplish advanced computation tasks as the EM wave propagates through it while reducing both energy consumption and processing delay. By contrast\, an FIM takes a different approach to leverage the 3D physical space. An FIM is composed of an array of low-cost radiating elements\, each of which can independently radiate electromagnetic signals while flexibly adjusting its position along the direction perpendicular to the surface. Hence\, unlike conventional rigid 2D antenna arrays\, the FIM surface shape may be dynamically reconfigured to improve the channel quality by beneficial 3D morphing. \nSpeaker\nProf. Chau YUEN\nAssociate Professor\,\nNanyang Technological University \nSpeaker’s Biography\nChau YUEN received the B.Eng. and Ph.D. degrees from Nanyang Technological University\, Singapore\, in 2000 and 2004\, respectively. He was a Post-Doctoral Fellow with Lucent Technologies Bell Labs\, Murray Hill\, in 2005. From 2006 to 2010\, he was with the Institute for Infocomm Research\, Singapore. Since 2023\, he has been with the School of Electrical and Electronic Engineering\, Nanyang Technological University. Dr. Yuen received IEEE Communications Society Leonard G. Abraham Prize (2024)\, IEEE Communications Society Best Tutorial Paper Award (2024)\, IEEE Communications Society Fred W. Ellersick Prize (2023)\, IEEE Marconi Prize Paper Award in Wireless Communications (2021)\, IEEE APB Outstanding Paper Award (2023)\, and EURASIP Best Paper Award for JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING (2021).  He is an IEEE Fellow and also a Highly Cited Researcher by Clarivate Web of Science. \nOrganiser\nProf. Kaibin HUANG\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong\n\nAll are welcome!
URL:https://ece.hku.hk/events/20251110-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Highlights,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251117T110000
DTEND;TZID=Asia/Hong_Kong:20251117T120000
DTSTAMP:20260510T152018
CREATED:20251106T070600Z
LAST-MODIFIED:20251110T064624Z
UID:113828-1763377200-1763380800@ece.hku.hk
SUMMARY:💡 Informational Webinar on the MSc(Eng)ICES (Integrated Circuits and Electronic Systems) Admissions for 2026/27 ✨
DESCRIPTION:MSc(Eng)ICES is a new programme jointly offered by the Department of Electrical & Electronic Engineering (EEE)\, Faculty of Engineering\, The University of Hong Kong (HKU) and the Center for Advanced Semiconductors and Integrated Circuits. Prof. Yuhao ZHANG and Prof. Han WANG\, the Programme Directors of the Master of Science in Integrated Circuits and Electronic Systems (MSc(Eng)ICES) programme and the committee members will give an online admissions talk via Zoom. \nPlease find the details as follows: \n📅 Date: November 17\, 2025 (Monday)\n🕒 Time: 11:00 am – 12:00 pm (HKT)\n🔗 Zoom Link: https://hku.zoom.us/j/94597307927\n📍 Meeting ID: 945 9730 7927 \nIn the talk\, details about the Integrated Circuits and Electronic Systems discipline\, career prospects\, programme structure\, and admission requirements will be covered. At the end of the talk\, an interesting interactive Q&A session is waiting for you. All students\, parents and teachers are welcome to attend the talk and be familiar with the latest admissions information. We are looking forward to seeing you! \nThe MSc(Eng)ICES application for 2026/27 is now open. To visit the admissions website\, please click HERE. 📝 \nRelated news: https://ece.hku.hk/20251010-1
URL:https://ece.hku.hk/events/20251117-1/
LOCATION:Online via Zoom
CATEGORIES:Highlights,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251120T160000
DTEND;TZID=Asia/Hong_Kong:20251120T170000
DTSTAMP:20260510T152018
CREATED:20251104T030128Z
LAST-MODIFIED:20251104T030338Z
UID:113822-1763654400-1763658000@ece.hku.hk
SUMMARY:Exploring Careers in Industry: Quantitative Research Talk
DESCRIPTION:About the Talk\nThe talk is co-organised by Susquehanna and Prof. Kenneth Kin-Yip WONG from the Department of Electrical and Electronic Engineering at The University of Hong Kong. This is a unique opportunity to explore careers in quant trading\, hear firsthand from an experienced researcher\, and connect with industry professionals. \nThe speaker\, Dr. Davor OBRADOVIC\, holds a PhD in Computer Science from the University of Pennsylvania and has been a Quantitative Researcher at Susquehanna for 24 years. He’ll share insights into the quant trading landscape\, how academic research translates into solving complex trading problems\, and what life is like at Susquehanna. \nWhy Attend?\n\nDiscover how your academic background can thrive in industry\nGain insider knowledge about the quant trading field\nNetwork with Susquehanna professionals over refreshments\nReceive exclusive Susquehanna-branded merchandise\n\nRefreshments will be provided during the talk. 😊\n \nTarget Audience\nEEE RPg Students and Postdocs are welcome! \nRegister Now\nhttps://ece.hku.hk/20251120-s \nWe look forward to seeing you at the talk!
URL:https://ece.hku.hk/events/20251120-1/
LOCATION:Room LE-9\, LG2/F\, Library Extension Building (LE)\, The University of Hong Kong
CATEGORIES:Career Talks,Highlights,Seminar
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251121T110000
DTEND;TZID=Asia/Hong_Kong:20251121T120000
DTSTAMP:20260510T152018
CREATED:20251113T061708Z
LAST-MODIFIED:20251113T061708Z
UID:113884-1763722800-1763726400@ece.hku.hk
SUMMARY:Seminar on Probing Arousal Modulation of Brain Networks Using Multimodal Functional MRI in Awake Rodents and Non-human Primates
DESCRIPTION:Abstract\nArousal fluctuation is known to contribute to fMRI based functional dynamics\, but its detailed mechanism is largely unclear. Combining invasive neural recording (electrophysiological recording and fiber photometry) and manipulation (optogenetics and chemogenetics) techniques with awake\, unanesthetized animal fMRI provides unique opportunities to unravel the arousal contribution. Highly optimized unanesthetized mouse and marmoset fMRI setups allowed a wide range of arousal states from high alertness to NREM and REM sleep\, which was identified through simultaneous electrophysiological recording. Dynamic functional connectivity analysis revealed an inverted U-shape modulation of global functional connectivity strength and functional gradient from low to high arousal level. Further combined with simultaneous fiber photometry\, our multimodal fMRI revealed direct relationship between Locus Coeruleus Norepinephrine (LC-NE) system and such modulation. Direct neuronal manipulation using optogenetics/chemogenetics simultaneously with awake mouse fMRI confirmed the causal contribution of LC-NE system to inverted u-shape modulation. In conclusion\, multimodal fMRI in awake rodent and non-human primate revealed arousal modulated inverted U-shaped functional connectivity dynamics\, which can be driven by LC-NE activity. \nSpeaker\nDr. Zhifeng LIANG\nSenior Investigator\,\nDirector of the Brain Imaging Center\,\nInstitute of Neuroscience\,\nChinese Academy of Sciences\, Shanghai \nSpeaker’s Biography\nZhifeng LIANG obtained his Bachelor of Science in Life Sciences from Fudan University and PhD in Neuroscience from the University of Massachusetts Medical School. He conducted his postdoc training at the Department of Biomedical Engineering\, Pennsylvania State University\, before joining the Institute of Neuroscience (ION)\, Chinese Academy of Sciences as an Investigator and director of 9.4T animal MRI facility. He is now Senior Investigator and Director of the Brain Imaging Center at the Institute of Neuroscience\, with a research focus on multimodal fMRI techniques and applications in neuroscience. \nOrganiser\nDr. Alex Tze Lun LEONG\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nAcknowledgement\nTam Wing Fan Innovation Wing Two\n\nAll are welcome!
URL:https://ece.hku.hk/events/20251121-1/
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/2025/11/1280-2.jpg
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