BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系 - ECPv6.15.20//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH 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 REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Asia/Hong_Kong BEGIN:STANDARD TZOFFSETFROM:+0800 TZOFFSETTO:+0800 TZNAME:HKT DTSTART:20240101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Hong_Kong:20250901T140000 DTEND;TZID=Asia/Hong_Kong:20250901T150000 DTSTAMP:20260511T163053 CREATED:20250828T031638Z LAST-MODIFIED:20250828T031638Z UID:113133-1756735200-1756738800@ece.hku.hk SUMMARY:RPG Seminar – Water-Soluble Tape-Driven Conformal Transfer of Nanodiamond Arrays to 3D Curvilinear Biointerfaces DESCRIPTION:Zoom Link: https://hku.zoom.us/j/94773711550  \nAbstract\nNanodiamonds (NDs) with nitrogen-vacancy (NV) centers\, play a pivotal role in biological sensing due to their stable fluorescence\, high sensitivity to magnetic fields and temperature\, exceptional chemical stability\, and remarkable biocompatibility\, enabling advanced applications in real-time cellular monitoring and tissue imaging. However\, precisely positioning and patterning NDs onto biological interfaces remains a significant challenge\, hindered by complex physicochemical microenvironments characterized by high hydration\, uneven surfaces\, and chemical diversity\, which often lead to low transfer efficiency. To address these obstacles\, this study introduces an innovative transfer method for large-area ND patterning across diverse substrates\, demonstrating its adaptability to a wide range of nanoparticles. Rigorous evaluations showcase its performance on substrates with varying stiffness\, curvature\, and surface chemistry. Successful transfers onto silicone hydrogel contact lenses\, human hair\, Polydimethylsiloxane (PDMS) micropillars\, Polyethylene Terephthalate (PET) films\, gold probes\, and prosthetic hands exhibit high pattern fidelity. The method also supports a dual-information application for anti-counterfeiting and data storage on contact lenses. Highlighted applications in biosensing\, quantum sensing\, and biomedical devices underscore its ability to overcome limitations of traditional techniques like photolithography and thermal transfer\, positioning it as a promising\, residue-free approach for integrating NDs and other nanoparticles into advanced biomedical and flexible electronic systems. \nSpeaker\nSpeaker: Miss Zhang Luyao\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nLuyao Zhang earned her B.S. degree in Advanced Materials Science and Engineering from Sungkyunkwan University\, followed by an M.S. degree in Materials Science and Engineering from the National University of Singapore. She is currently a Ph.D. candidate under the supervision of Prof. Zhiqin Chu at the Department of Electrical and Electronic Engineering\, The University of Hong Kong (HKU). Her research interests center on micro-nano fabrication\, nanopatterning\, and nanodiamond sensing\, where she explores innovative techniques to advance biomedical and quantum sensing technologies. \nOrganiser\nProf. Zhiqin CHU \nAll are welcome. URL:https://ece.hku.hk/events/20250901-1/ 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:20250905T093000 DTEND;TZID=Asia/Hong_Kong:20250905T103000 DTSTAMP:20260511T163053 CREATED:20250902T061920Z LAST-MODIFIED:20250902T091613Z UID:113160-1757064600-1757068200@ece.hku.hk SUMMARY:Seminar on Illuminating Life Sciences: Optical Engineering Technologies for Neuroscience and Biology DESCRIPTION:Abstract\nIn this talk\, the speaker will introduce how optical technology can contribute to biological studies. Light has long been one of the most powerful tools for investigating living systems. Optical imaging techniques allow direct observation of dynamic cellular processes in vivo\, while optogenetics enables the precise modulation of neuronal circuits with high spatiotemporal resolution. \nIn Part One\, the speaker will present how digital micromirror device (DMD) equipped beam projection technology\, commonly used in movie theatres\, can be adapted for functional mapping of the mouse brain. In Part Two\, the speaker will describe how liquid crystal display (LCD) technology enables ultrafast optical recording of neuronal circuit activity. Finally\, in Part Three\, the speaker will outline my current and future research directions in immunophotonics\, driven by large-scale optical imaging\, deep learning–assisted automated cell tracking\, and skull transparency techniques for real-time visualisation of brain–immune system interactions. \nSpeaker\nDr. Seonghoon KIM\nSenior Research Scientist\,\nDepartment of Automation\,\nTsinghua University \nSpeaker’s Biography\nSeonghoon KIM is a Senior Research Scientist in the Department of Automation at Tsinghua University. He received his Ph.D. from the Korea Advanced Institute of Science and Technology (KAIST) in South Korea and subsequently completed postdoctoral training at Harvard Medical School\, Seoul National University\, and Tsinghua University. His research background is exceptionally broad\, spanning materials science\, optics\, neuroscience\, computational science\, and immunology. For example\, he has studied the oxidation of nanocrystal metal films\, developed implantable biomaterials\, developed photodynamic therapy for cancer treatment\, applied optogenetics with fMRI for functional mapping of the mouse brain\, and developed an ultrafast optical imaging system for neuronal voltage imaging. Recently\, he has published several papers in leading journals\, including Neuron\, Nature Communications\, Advanced Materials\, and Nature Methods. His current research focuses on investigating in vivo biological dynamics—particularly in neuroscience and immunology— through large-scale optical imaging systems integrated with computational imaging techniques.\n\nAll are welcome! URL:https://ece.hku.hk/events/20250905-1/ LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong CATEGORIES:Highlights,Seminar ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2025/09/1280-1.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Hong_Kong:20250910T141500 DTEND;TZID=Asia/Hong_Kong:20250910T163000 DTSTAMP:20260511T163053 CREATED:20250806T033603Z LAST-MODIFIED:20250827T025141Z UID:112877-1757513700-1757521800@ece.hku.hk SUMMARY:William Mong Distinguished Lecture cum Workshop – Unlocking MIMO in 6G: The Evolution of MIMO in Cellular Systems DESCRIPTION:All members of the HKU community and the general public are welcome to join. Seats for on-site participants are limited. Interested parties please register through the link below by September 9\, 2025 18:00pm:https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=102594  \nA confirmation email will be sent to participants who have successfully registered. \nAbstract\nWireless networks have fundamentally transformed our daily lives. Behind this revolution\, Multiple-Input Multiple-Output (MIMO) communication standing out as one of the most influential innovations. By spatially multiplexing data streams across different antennas\, MIMO enables high-rate access. In this talk\, Professor Heath will introduce the fundamentals of MIMO communication and explore its applications within cellular systems. The lecture will begin with an overview of single-user and multi-user MIMO\, highlighting their pivotal role in 4G networks. It will then discuss the adaptation of MIMO techniques to 5G millimeter-wave systems. Finally\, the talk will explore a forward-looking concept: the tri-hybrid MIMO architecture\, which integrates reconfigurable antennas into digital/analog hybrid MIMO framework to support very large-scale antenna arrays. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Keynote Speaker:\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Professor Robert Wendell Heath Jr.University of California San Diego \n \n \n \n \n \n Biography\nProfessor Robert W. Heath Jr. is the Charles Lee Powell Chair in Wireless Communication in the Department of ECE at the University of California San Diego.  He is the recipient or co-recipient of several awards including the 2019 IEEE Kiyo Tomiyasu Award\, the 2020 North Carolina State University Innovator of the Year Award\, the 2021 IEEE Vehicular Technology Society James Evans Avant Garde Award\, and the 2025 IEEE/RSE James Clerk Maxwell Medal. He authored “Introduction to Wireless Digital Communication” (Prentice Hall in 2017) and “Digital Wireless Communication: Physical Layer Exploration Lab Using the NI USRP” (National Technology and Science Press in 2012). He co-authored “Millimeter Wave Wireless Communications” (Prentice Hall in 2014) and “Foundations of MIMO Communications” (Cambridge 2019). He is a licensed Amateur Radio Operator\, a registered Professional Engineer in Texas\, a Private Pilot\, a Fellow of the National Academy of Inventors\, a Fellow of the IEEE\, and a Fellow of the AAAS. He is an elected member of the United States National Academy of Engineering\, 2025 class. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Panellists:\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Professor Nuria González PrelcicUniversity of California San Diego \n \n \n \n \n \n Biography\nProfessor Nuria González Prelcic received her Ph.D. with Honors in 2000 from the University of Vigo\, Spain. She is a Professor at the ECE Department of the University of California San Diego since January 2024. Her main research interests include signal processing and machine learning for wireless communications. She has published more than 150 papers in these areas\, including a highly cited tutorial on signal processing for mmWave MIMO published in the IEEE Journal of Selected Topics in Signal Processing which has received the 2020 IEEE SPS Donald G. Fink Overview Paper Award\, and a paper pioneering the idea of enabling automotive radar with a WiFi waveform that won the 2022 IEEE Vehicular Technology Society Best Vehicular Electronics Paper Award. She has been an Editor for IEEE Transactions on Wireless Communications and IEEE Transactions Communications. She is a member of the IEEE Signal Processing Society TWG on Integrated Sensing and Communication\, SPCOM Technical Committee and IEEE SPS Education Board. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Dr Peiying ZhuHuawei \n \n \n \n \n \n Biography\nDr Peiying Zhu\, Senior Vice President of Wireless Research\, is a Huawei Fellow\, IEEE Fellow and Fellow of Canadian Academy of Engineering. She is currently leading 6G wireless research and standardization in Huawei. The focus of her research is advanced radio access technologies. She is actively involved in 3GPP and IEEE 802 standards development. She has been regularly giving talks and panel discussions on 5G/6G vision and enabling technologies. She led the team to contribute significantly to 5G technologies and standardization. Many technologies developed by the team have been adopted into 5G standards and implemented in 5G products. She served as the guest editor for IEEE Signal processing magazine special issue on the 5G revolution and IEEE JSAC on Deployment Issues and Performance Challenges for 5G. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Professor Zhisheng NiuTsinghua University \n \n \n \n \n \n Biography\nProfessor Zhisheng Niu graduated from Beijing Jiaotong University\, China\, in 1985\, and got his M.E. and D.E. degrees from Toyohashi University of Technology\, Japan\, in 1989 and 1992\, respectively.  During 1992-1994\, he worked for Fujitsu Laboratories Ltd.\, Japan\, and in 1994 joined with Tsinghua University\, Beijing\, China\, where he is now a professor at the Department of Electronic Engineering. During 1997-1998\, he visited Hitachi Central Research Laboratory as a HIVIPS senior researcher.  His major research interests include queueing theory and traffic engineering\, wireless communications and mobile Internet\, vehicular communications and smart networking\, and green communication and networks. Professor Niu has been serving IEEE Communications Society since 2000\, first as Chair of Beijing Chapter and then as Director of Asia-Pacific Board\, Director for Conference Publications\, Chair of Emerging Technologies Committee\, Director for Online Contents\, Editor-in-Chief of IEEE Trans. Green Commun. & Networks\, and currently Chair of Emerging Technologies Committee.  He received the Distinguished Technical Achievement Recognition Award from IEEE Communications Society Green Communications and Computing Technical Committee in 2018.  He was selected as a distinguished lecturer of IEEE Communication Society as well as IEEE Vehicular Technologies Society.  He is a fellow of both IEEE and IEICE. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Professor Chan Byoung ChaeYonsei University \n \n \n \n \n \n Biography\nProfessor Chan Byoung Chae received the Ph.D. degree in electrical and computer engineering from The University of Texas at Austin (UT) in 2008. Prior to joining UT\, he was a Research Engineer at the Telecommunications Research and Development Center\, Samsung Electronics\, Suwon\, South Korea\, from 2001 to 2005. He is currently an Underwood Distinguished Professor and Lee Youn Jae Fellow (Endowed Chair Professor) with the School of Integrated Technology\, Yonsei University\, South Korea. Before joining Yonsei University\, he was with Bell Labs\, Alcatel-Lucent\, Murray Hill\, NJ\, USA\, from 2009 to 2011\, as a Member of Technical Staff\, and Harvard University\, Cambridge\, MA\, USA\, from 2008 to 2009\, as a Post-Doctoral Research Fellow. He was the Editor-in-Chief of IEEE Trans. Molecular\, Biological\, and Multi-scale Communications. He was an IEEE ComSoc Distinguished Lecturer from 2020 to 2023 and is an IEEE VTS Distinguished Lecturer from 2024 to 2025. He is an elected member of the National Academy of Engineering of Korea. URL:https://ece.hku.hk/events/20250910-1/ LOCATION:Rayson Huang Lecture Theatre\, The University of Hong Kong (HKU) CATEGORIES:Highlights,Seminar ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2025/08/1280-2.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Hong_Kong:20250911T113000 DTEND;TZID=Asia/Hong_Kong:20250911T123000 DTSTAMP:20260511T163053 CREATED:20250828T043420Z LAST-MODIFIED:20250904T022125Z UID:113136-1757590200-1757593800@ece.hku.hk SUMMARY:AI Career Journey with Fano DESCRIPTION:About the Talk\nArtificial Intelligence (AI) is revolutionising industries\, and speech recognition stands at the forefront of this transformation. In this engaging session\, we will delve into the fascinating world of AI\, focusing on speech recognition and its related technologies with incredible potential. Fano will share insights from our journey—how they navigated the challenges and innovations in speech recognition\, from building cutting-edge models to addressing real-world applications. Learn about the skills\, tools\, and mindset required to excel in this niche\, as well as the exciting opportunities in this growing domain. \nThis talk will showcase Fano’s use cases and innovations in speech recognition that are shaping industries\, and cover the topic of the exciting career opportunities in AI and speech technologies\, and how to get started. Whether you’re a student\, postdoc or researcher curious about the world of AI and speech technologies\, this talk will inspire and equip you to take the next step in your own career journey. \nSpeaker\nIr. Dr. Albert LAM\, Chief Research Officer at Fano \nSpeaker’s Biography\nAlbert LAM received his BEng degree with First Class Honours in Information Engineering from The University of Hong Kong\, Hong Kong\, in 2005\, and he obtained his PhD degree at the Department of Electrical and Electronic Engineering of HKU in 2010. He was a postdoctoral scholar at the Department of Electrical Engineering and Computer Sciences of the University of California\, Berkeley. He was a Research Assistant Professor at the Department of Computer Science of Hong Kong Baptist University from 2012 to 2015 and the Department of Electrical and Electronic Engineering (EEE) of HKU in 2015–17. He is now the Chief Research Officer at Fano\, a deep-tech startup specialising in speech and language technologies. He also serves as an Adjunct Associate Professor at HKU. He is a Croucher Research Fellow. He is one of the top 2% scientists Worldwide by Stanford University\, 2020–24. He is a member of the Expert Committee of the Shenzhen Artificial Intelligence Industry Association. His research interests include optimisation theory and algorithms\, artificial intelligence\, evolutionary computation\, smart grids\, and smart cities. He is a Senior Editor of  IEEE Transactions on Intelligent Transportation Systems\, an Associate Editor of IEEE Transactions on Evolutionary Computation\, IEEE Transactions on Artificial Intelligence\, and IEEE Transactions on Emerging Topics in Computational Intelligence. He is also the Editor-in-Chief of EAI Endorsed Transactions on Energy Web. \nSupported By URL:https://ece.hku.hk/events/20250911-1/ LOCATION:Tam Wing Fan Innovation Wing Two\, G/F\, Run Run Shaw Building\, The University of Hong Kong CATEGORIES:Career Talks,Highlights,Seminar ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2025/08/1280-1.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Hong_Kong:20250912T150000 DTEND;TZID=Asia/Hong_Kong:20250912T160000 DTSTAMP:20260511T163053 CREATED:20250908T091544Z LAST-MODIFIED:20250908T091544Z UID:113375-1757689200-1757692800@ece.hku.hk SUMMARY:RPG Seminar – Fully Integrated Memristive Spiking Neural Network with Analog Neurons for High-Speed Event-Based Data Processing DESCRIPTION:Zoom Link: https://hku.zoom.us/j/99645936669 \nAbstract\nThe demand for edge artificial intelligence to process event-based\, complex data calls for hardware beyond conventional digital\, von-Neumann architectures. Neuromorphic computing\, using spiking neural networks (SNNs) with emerging memristors\, is a promising solution\, but existing systems often discard temporal information\, demonstrate non-competitive accuracy\, or rely on neuron designs with large capacitors that limit the scalability and processing speed. Here we experimentally demonstrate a fully integrated memristive SNN with a 128×24 memristor array integrated on a CMOS chip and custom-designed analog neurons\, achieving high-speed\, energy-efficient event-driven processing of accelerated spatiotemporal spike signals with high computational fidelity. This is achieved through a proportional time-scaling property of the analog neurons\, which allows them to use only compact on-chip capacitors and train directly on the spatiotemporal data without special encoding by backpropagation through surrogate gradient\, thus overcoming the speed\, scalability and accuracy limitations of previous designs. We experimentally validated our hardware using the DVS128 Gesture dataset\, accelerating each sample 50\,000-fold to a 30 µs duration. The system achieves an experimental accuracy of 93.06% with a measured energy efficiency of 101.05 TSOPS/W. We project significant future efficiency gains by leveraging picosecond-width spikes and advanced fabrication nodes. By decoupling the hardware’s operational timescale from the data’s natural timescale\, this work establishes a viable pathway for developing neuromorphic processors capable of high-throughput analysis\, critical for rapid-response edge computing applications like high-speed analysis of buffered sensor data or ultra-fast in-sensor machine vision. \nSpeaker\nSpeaker: Mr Zhu Wang\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nZhu Wang received the B.Eng. degree in the Department of Electronic Science and Technology at Harbin Institute of Technology\, and M.Phil. degree in the Department of Electronic Engineering at City University of Hong Kong. He is currently pursuing the Ph.D. degree in the Department of Electrical and Electronic Engineering at the University of Hong Kong\, under the supervision of Prof. Can Li. His research interests include AI chips\, neuromorphic computing\, memory\, and VLSI design. \nOrganiser\nProf. Can Li\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome. URL:https://ece.hku.hk/events/20250912-1/ 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:20250916T103000 DTEND;TZID=Asia/Hong_Kong:20250916T123000 DTSTAMP:20260511T163053 CREATED:20250829T070951Z LAST-MODIFIED:20250909T084555Z UID:113143-1758018600-1758025800@ece.hku.hk SUMMARY:HKU Centennial Distinguished Chinese Scholars Scheme – Public Lecture: Theory\, Technology and Engineering Practice in the Evolution of Mobile Communications (移动通信演进中的理论、技术及工程实践) DESCRIPTION:Registration Link: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=102673 \nKindly note that the lecture will be conducted in Putonghu. \nSpeaker\nProf. Ping ZHANG\, Beijing University of Posts and Telecommunications \nAbstract\nSyntactic communication is marked by the American scientist Shannon Information Theory\, which points out the development direction for information measurement\, compression and transmission. However\, after nearly 80 years of development\, syntactic communication has entered a bottleneck. First\, the contradiction between chip size and component scale in the post-Moore era is becoming more and more prominent\, and the limitations brought about by von Neumann’s structure are becoming more and more obvious. Second\, it can be seen from the Shannon channel capacity formula that although increasing physical dimensions such as antennas\, spectrum\, and power can improve system capacity\, it consumes huge resources and is difficult to sustainable. Third\, new communication objects such as different types of robots are emerging\, which are very different from human communication needs and information reception methods. Therefore\, disruptive innovation is needed to realise new requirements! \nThis report expounds the changes brought about by this innovation from the basic theory\, core methods\, design ideas and other aspects. As a new communication paradigm\, semantic communication subverts the traditional communication technology system\, opens up innovative technical ways for the integration of communication and intelligence\, and has made breakthroughs in three aspects: basic theoretical research\, core technology research\, and engineering test verification. At present\, it is becoming more and more widely recognised by the industry and peers. Finally\, this report confirms that semantic communication is indeed the “inflection point” technology of 6G from the perspective of engineering experiment verification\, proving that AI can be integrated with wireless communication to efficiently overcome the “last mile” problem of knowledge and model network transmission. The breakthrough of semantic communication has brought about a change in the design of traditional communication systems\, which is no longer an innovation that adopts traditional extension line fragmentation in intergenerational evolution\, but adopts powerful AI and communication system modular\, low-cost\, and explainable optimisation fusion\, and obtains huge gains in the performance of the fusion system. \nSpeaker’s Biography\nPing ZHANG\, Academician of the Chinese Academy of Engineering\, IEEE Fellow\, Professor in the  Beijing University of Posts and Telecommunications\, Ph.D. Supervisor\, Director of the State Key Laboratory of Networking and Switching Technology. He is the Editor-in-Chief of the Journal on Communications. He is a member of IMT-2020 (5G) Experts Panel\, a member of the Experts Panel for China’s 6G development\, and has received many awards and honours\, including the Grand Prize for the National Science and Technology Progress Award. He is one of the most well-known key contributors to the development of China-pioneered mobile communication technologies\, which have been widely adopted on a global scale. His research interests include next-generation mobile networks\, semantic communications\, and intellicise communication systems. \nAll are welcome! We are looking forward to seeing you in the lecture! \nSupported By\n \nAll are welcome! We are looking forward to seeing you in the lecture! \nRegistration Link: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=102673 \n**********************(Chinese version)****************************\n \n講者：张平教授，北京邮电大学 \n摘要： \n语法通信以美国科学家香农信息论为标志，为信息度量、压缩、传输等指明了发展方向，它的理论完备、工程可行，构成了完善的信息通信技术。然而，经过了近80年的发展，语法通信已经进入了瓶颈。一是后摩尔时代芯片尺寸与元器件规模的矛盾日益突出，冯·诺依曼结构带来的局限日渐明显，移动通信的技术堆砌式演进受到芯片工艺、器件及计算结构等严重限制；二是从香农信道容量公式可以看出，增加天线、频谱、功率等物理维度，尽管可提升系统容量，但资源消耗巨大，难以可持续发展；三是不同类型机器人等新型通信对象不断涌现，与人类的通信需求和信息接收方式差异巨大。因此，需要颠覆性创新实现新的需求！ \n本报告从基础理论、核心方法、设计思想等层面来阐述这种革新带来的变化。作为一种新的通信范式，语义通信颠覆了传统的通信技术体系，为通信与智能融合开辟了创新技术途径，在基础理论研究、核心技术攻关、工程试验验证等三个层面方面均取得了突破性的成绩。目前正在越来越广泛的被业界认可与同行。最后，本报告从工程试验验证的角度证实语义通信确实是6G的“拐点”技术，证明了AI可以和无线通信融合，高效地克服知识、模型网络传递 “最后一公里”的难题。语义通信的突破带来了传统通信系统设计的变革，它不再是代际演变时采用传统延长线碎片化的创新，而是采用强大的AI与通信系统模块化、低成本、可解释的优化融合，获得了融合系统性能巨大的增益。 \n講者簡介：\n张平，国务院参事，中国工程院院士，北京邮电大学教授、博士生导师、网络与交换技术国家重点实验室主任，《通信学报》主编，IEEE Fellow等。长期致力于移动通信理论研究和技术创新，担任IMT- 2020（5G）专家组成员、IMT-2030（6G）推进组咨询委员会委员，先后获国家科学技术进步奖特等奖等多项奖励，为我国自主技术成为国际主流做出了基础性的贡献。目前研究兴趣聚焦在语义通信和语用达意网络。 \n歡迎大家踴躍參加！我們期待你來參加這次的演講！ \n按此立即登記！ URL:https://ece.hku.hk/events/20250916-1/ 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/2025/08/20250916-1-Public-1280.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Hong_Kong:20250916T133000 DTEND;TZID=Asia/Hong_Kong:20250916T153000 DTSTAMP:20260511T163053 CREATED:20250829T071751Z LAST-MODIFIED:20250909T083854Z UID:113148-1758029400-1758036600@ece.hku.hk SUMMARY:HKU Centennial Distinguished Chinese Scholars Scheme – Scientific Lecture: Theoretical Foundations and Practical Implementation of Semantic Communications (语义通信的理论基础和试验验证) DESCRIPTION:Registration Link: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=102674 \nKindly note that the lecture will be conducted in Putonghu. \nSpeaker\nProf. Ping ZHANG\, Beijing University of Posts and Telecommunications \nAbstract\nThe deep integration of communication and intelligence is driving a fundamental transformation in next-generation wireless systems. Traditional networks face significant challenges in scalability\, adaptability\, and flexibility\, falling to meet the demands for ubiquitous intelligence and sustainable development. To address these limitations\, semantic wireless networks with their inherent characteristics of intelligence-endogenous and primitive-concise\, have been proposed as a transformative paradigm. Built on native cognition and learning capabilities\, semantic wireless networks evolve communication systems from passive data pipelines into proactive intelligent agents\, enabling widespread digital transformation across industries. This talk will focus on the core principles and practices of semantic wireless networks\, including semantic information theory\, semantic communication\, semantic network architecture\, and field test networks for 6G. Promising application scenarios and future directions will also be discussed. \nSpeaker’s Biography\nPing ZHANG\, Academician of the Chinese Academy of Engineering\, IEEE Fellow\, Professor in the Beijing University of Posts and Telecommunications\, Ph.D. Supervisor\, Director of the State Key Laboratory of Networking and Switching Technology. He is the Editor-in-Chief of the Journal on Communications. He is a member of IMT-2020 (5G) Experts Panel\, a member of the Experts Panel for China’s 6G development\, and has received many awards and honours\, including the Grand Prize for the National Science and Technology Progress Award. He is one of the most well-known key contributors to the development of China-pioneered mobile communication technologies\, which have been widely adopted on a global scale. His research interests include next-generation mobile networks\, semantic communications\, and intellicise communication systems. \nSupported By\n \nAll are welcome! We are looking forward to seeing you in the lecture! \nRegistration Link: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=102674\n**********************(Chinese version)****************************\n \n講者：张平教授，北京邮电大学 \n摘要：\n通信与智能的深度融合正在推动下一代无线系统的根本性变革。传统网络在可扩展性、适应性和灵活性方面面临重大挑战，无法满足无处不在的智能和可持续发展的需求。为了解决这些局限性，语义无线网络具有智能内生性和原生智能的固有特征，被作为一种新的变革范式。语义无线网络基于原生认知和学习能力，将通信系统从被动数据管道发展为主动智能代理，实现跨行业的广泛数字化转型。本次演讲将重点讨论语义无线网络的核心原理和实践，包括语义信息理论、语义通信、语义网络架构和 6G 现场测试网络。还将讨论有前景的应用场景和未来方向。 \n講者簡介：\n张平，国务院参事，中国工程院院士，北京邮电大学教授、博士生导师、网络与交换技术国家重点实验室主任，《通信学报》主编，IEEE Fellow等。长期致力于移动通信理论研究和技术创新，担任IMT- 2020（5G）专家组成员、IMT-2030（6G）推进组咨询委员会委员，先后获国家科学技术进步奖特等奖等多项奖励，为我国自主技术成为国际主流做出了基础性的贡献。目前研究兴趣聚焦在语义通信和语用达意网络。 \n歡迎大家踴躍參加！我們期待你來參加這次的演講！ \n按此立即登記！ URL:https://ece.hku.hk/events/20250916-2/ 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/2025/08/20250916-1-Scientific-1280.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Hong_Kong:20250918T110000 DTEND;TZID=Asia/Hong_Kong:20250918T120000 DTSTAMP:20260511T163053 CREATED:20250901T075531Z LAST-MODIFIED:20250909T024245Z UID:113154-1758193200-1758196800@ece.hku.hk SUMMARY:Seminar on Hierarchical Modular Organisation in the Brain: Segregation\, Integration and Their Balance Underlying Cognitive Diversity DESCRIPTION:Abstract\nThe brain is a highly nonlinear complex network system supporting diverse cognitive abilities. The locally segregated and globally integrated processing are the two basic foundations of cognition. However\, how the brain organises the effective processing of neural information at both local and global scales\, so as to support diverse cognitive tasks\, is not well understood. A physical hypothesis is that the brain system is in a dynamic critical state at rest and can support the balance of separation and integration in supporting diverse cognitive abilities. However\, there has been no clear evidence on whether the resting brain is in the segregation-integration balance at the whole-brain scale\, and how it is associated with diverse cognitive abilities. We address the above open interdisciplinary question using an eigenmode-based approach to identify hierarchical modules in structural and functional brain networks by combining large-scale models and fMRI data. The structural brain network displays hierarchical modular organisation inherently supporting multilevel segregation and integration modes. We found that the critical state can best recruit such hierarchical modes to maximise the diversity in the functional connectivity. In a large sample of healthy young adults (n=991) from the Human Connectome Project (HCP)\, we demonstrate that resting brain functional networks are on average close to a balanced state. This state allows for a balanced time dwelling at segregated and integrated configurations\, and highly flexible switching between them. Meanwhile\, we demonstrate that network segregation\, integration and their balance in resting brains predict individual differences in diverse cognitive phenotypes. We also show that weak links\, which are largely ignored in network neuroscience\, play a crucial role in supporting the segregation-integration balance and cognitive functions. Our findings provide a systems-level understanding of the brain’s functioning principles in supporting diverse functional demands and cognitive abilities\, and advance modern network neuroscience theories of human cognition\, which may shed light on dysfunctional segregation and integration in neurodegenerative diseases and neuropsychiatric disorders. Examples of application of the framework to stress and ADHD are briefly presented. \nSpeaker\nProf. Changsong ZHOU\nChair Professor of Physics and Complex Systems\,\nDepartment of Physics;\nDirector of Centre for Nonlinear Studies;\nDirector of Institute of Computational and Theoretical Studies;\nDirector of Life Science Imaging Centre (LSIC)\,\nHong Kong Baptist University \nSpeaker’s Biography\nProf. Changsong ZHOU\, Chair Professor of Physics and Complex Systems in the Department of Physics\, Director of Centre for Nonlinear Studies\, Director of the University Central Research Facility Life Science Imaging Centre\, Director of Institute of Computational and Theoretical Studies\, Hong Kong Baptist University (HKBU)\, and RGC Senior Research Fellow 2023. He received the HKBU President’s Award for Outstanding Young Researcher 2011 and the President’s Award for Outstanding Performance in Scholarly Work 2021. His research interests are analysis and modelling of complex connectivity and activity in neural systems using physical science approaches in collaboration with experimental neuroscientists. He has published over 180 research papers in interdisciplinary journals such as Nature Communications\, PNAS\, and Physical Review Letters. \nOrganiser\nDr. Alex Tze Lun LEONG\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nSupported By URL:https://ece.hku.hk/events/20250918-1/ 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/2025/09/1280-2.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Hong_Kong:20250924T103000 DTEND;TZID=Asia/Hong_Kong:20250924T110000 DTSTAMP:20260511T163053 CREATED:20250922T032607Z LAST-MODIFIED:20250922T032607Z UID:113449-1758709800-1758711600@ece.hku.hk SUMMARY:RPG Seminar – Laser-Assisted Interface-Welded Electrodes for Epidermal Electrophysiology Sensing DESCRIPTION:Zoom Link: https://hku.zoom.us/j/8957840635?pwd=jB4IyfmX0hTbEjn9W0LVEs31VhDw0e.1&omn=97635631185 \nAbstract\nElectrophysiological signals provide essential insights into health\, emotional responses\, and physical performance\, making their reliable collection critical for healthcare and research. However\, motion artifacts\, which cause signal distortion and compromise quality\, remain a significant challenge. In this study\, we introduce a laser-assisted interface welding (LIW) technique to avoid interface failure within electrodes\, thereby reducing motion artifacts. The developed electrode array patch consists of an adhesive layer for strong skin adhesion and a conductive layer for signal collection. Electrodes enhanced with the LIW technique exhibit exceptional toughness (114.29 J m-2) at the internal interface and improved electrical conductivity (467.8 S m-1). Compared with commercial electrodes\, the developed patch demonstrates superior conformability to human skin\, achieving an outstanding signal-to-noise ratio (>25 dB) and enabling high-quality electromyography and electrocardiography signal acquisition during motion. This work highlights the potential of the LIW technique to overcome motion artifacts\, offering a promising pathway for the reliable collection of electrophysiological signals in practical applications. \nSpeaker\nSpeaker: Mr. KANG Zhecheng\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nDing Ye received his BEng in Polymer Materials and Engineering from Northwestern Polytechnical University in 2019. He is now pursuing a MPhil degree with Leo Tianshuo Zhao in the Department of Electrical and Electronic Engineering. His research focuses on polymer hydrogel and flexible sensors. \nOrganiser\nProf. Leo Tianshuo Zhao\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome. URL:https://ece.hku.hk/events/20250924-1/ 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;VALUE=DATE:20250926 DTEND;VALUE=DATE:20250928 DTSTAMP:20260511T163053 CREATED:20250919T030840Z LAST-MODIFIED:20260128T063915Z UID:113431-1758844800-1759017599@ece.hku.hk SUMMARY:「港大百週年傑出中國學者計畫」──網絡與信息技術學科建設及人才培養高端論壇 DESCRIPTION:由香港大學主辦、香港大學電機電子工程系承辦、香港大學工程學院協辦，名為​「網絡與信息技術學科建設及人才培養高端論壇」活動​，旨在匯聚海內外頂尖學者，共議網安學科發展路徑，探索創新人才培養新模式。主論壇將提供高視野、前瞻性的學術引導，而方班研討廳則側重於創新表達與批判性思維的實踐鍛煉，兩者結合，將為您的科研成長帶來顯著助益。 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 主論壇\n \n \n \n \n \n 日期：9月26日（星期五）時間：14:15-17:00地點：香港大學黃麗松講堂（Rayson Huang Theatre）[HKU Map]語言：普通話 \n特邀中國工程院方濱興院士、鄭緯民院士、戴瓊海院士等多位權威專家，圍繞網絡與信息技術前沿趨勢、學科建設與人才生態發表主題演講。 \n \n 查看主論壇日流程\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 方班研討廳\n \n \n \n \n \n 日期：9月27日（星期六）時間：08:30-12:00地點：香港大學圖書館附屬樓（Library Extension Building），房間LE2-3及LE5-9 [HKU Map]語言：普通話 \n由方濱興院士親自參與指導，其他高校院士及教授現場參與，以「學生講、師生問、專家評」的深度翻轉課堂模式，開展跨校學術交流與思辨訓練。 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n主論壇日流程\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 14:15 – 14:30 \n \n \n \n \n \n \n \n \n \n \n \n 簽到入場 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 14:30 – 14:45 \n \n \n \n \n \n \n \n \n \n \n \n 香港大學副校長 致辭戴瓊海院士 致辭 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 14:45 – 14:50 \n \n \n \n \n \n \n \n \n \n \n \n 合影 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 14:50 – 15:45 \n \n \n \n \n \n \n \n \n \n \n \n 方濱興院士主題演講：人工智慧行為體保險箍 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 15:45 – 15:50 \n \n \n \n \n \n \n \n \n \n \n \n 合影／休息 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 15:50 – 16:40 \n \n \n \n \n \n \n \n \n \n \n \n 鄭緯民院士主題演講：關於人工智能大模型的三點考慮 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 16:40 – 16:45 \n \n \n \n \n \n \n \n \n \n \n \n 電機電子工程系主任 閉幕致辭 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 16:45 – 17:00 \n \n \n \n \n \n \n \n \n \n \n \n 茶歇交流，嘉賓合影 URL:https://ece.hku.hk/events/20250926-1/ LOCATION:Rayson Huang Theatre / Library Extension Building CATEGORIES:Seminar ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2025/09/backdrop_P1280.jpg END:VEVENT END:VCALENDAR