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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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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250911T113000
DTEND;TZID=Asia/Hong_Kong:20250911T123000
DTSTAMP:20260510T031606
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250916T103000
DTEND;TZID=Asia/Hong_Kong:20250916T123000
DTSTAMP:20260510T031606
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250916T133000
DTEND;TZID=Asia/Hong_Kong:20250916T153000
DTSTAMP:20260510T031606
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250918T110000
DTEND;TZID=Asia/Hong_Kong:20250918T120000
DTSTAMP:20260510T031606
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250930T103000
DTEND;TZID=Asia/Hong_Kong:20250930T113000
DTSTAMP:20260510T031606
CREATED:20260128T064249Z
LAST-MODIFIED:20260128T064249Z
UID:114711-1759228200-1759231800@ece.hku.hk
SUMMARY:Seminar on AI Contrast Agents – AI to Eliminate Chemical Contrast Agents in Imaging
DESCRIPTION:Abstract\nChemical contrast agents have long been integral to clinical diagnostic imaging. However\, growing concerns about their safety\, cost\, and environmental impact have prompted the need for alternative solutions. In this talk\, Dr. Shuo Li will present his pioneering work on AI contrast-enhanced imaging—a transformative approach that leverages cutting-edge machine learning techniques to synthesize contrast-enhanced images without the use of chemical agents. This innovative technology not only reduces patient risk and healthcare costs but also opens new frontiers for precision imaging. Dr. Li will showcase recent breakthroughs from his lab\, highlight clinical applications across cardiology\, oncology\, and neurology\, and discuss the future potential of AI-driven imaging in reshaping medical diagnostics. \nSpeaker\nProf. Shuo Li\nLeonard Case\, Jr. Endowed Professor\,\nCase Western Reserve University \nSpeaker’s Biography\nProf. Li is a global leader in conducting multi-disciplinary research to enable artificial intelligence (AI) in healthcare. He is a Leonard Case\, Jr. endowed professor at Case Western Reserve University (USA). Before that\, he was an associate professor at Western University (Canada) and a scientist at the Lawson Health Research Institute. He was a scientist at GE Healthcare (2006-2015). He is a committee member in multiple highly influential conferences and societies. He is most notable for serving on the prestigious board of directors in the MICCAI society (2015-2024)\, where he is also the general chair for the MICCAI 2022 conference\, which is the most influential AI-in-imaging conference. He has over 300 publications\, acted as the editor for six Springer books\, and serves as an associate editor for several prestigious journals in the field. Throughout his career\, he has received several awards from GE\, various institutes\, and international organisations. He is a Fellow of SPIE\, AAIA\, IET\, AIMBE\, and IAMBE\, and a member of the National Academy of Artificial Intelligence (NAAI). \nOrganiser\nProf. Cheng Chen\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nAll are welcome!
URL:https://ece.hku.hk/events/20250930-1/
CATEGORIES:Highlights
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251025T090000
DTEND;TZID=Asia/Hong_Kong:20251025T180000
DTSTAMP:20260510T031606
CREATED:20251017T090444Z
LAST-MODIFIED:20251020T024407Z
UID:113635-1761382800-1761415200@ece.hku.hk
SUMMARY:HKU Information Day 2025 x EEE Project Demonstrations 香港大學本科入學資訊日 x 電機電子工程專案示範
DESCRIPTION:The Department of Electrical and Electronic Engineering (HKU-EEE) will hold a series of activities on the HKU Information Day on October 25\, 2025 (Saturday).  Join us for admissions talks\, explore the Faculty of Engineering’s main exhibition\, and engage in project demonstrations. Complete two missions at designated booth^ for a chance to win an exclusive gift!  See you there! \n港大電機電子工程系將於2025年10月25日(星期六）的港大本科入學資訊日舉辦一系列的活動。歡迎大家參與本系的招生講座，探索工程學院的主展覽區，並參與專案示範。在指定攤位^完成兩個任務，即可有機會獲得專屬小禮物！到時見！ \nHighlights 亮點: \n\nFaculty of Engineering Main Exhibition 工程學院主展覽區 (HKU-EEE | JS6987)^\n4/F Podium\, Haking Wong Building (Near HKU MTR Exit A2)\n黃克競樓4樓平台 (近香港大學地鐵站A2出口)\nProject Demonstrations 專案示範\nInteractive Booths / 互動展覽區\nG/F Foyer\, Composite Building (Outside Starbucks)\n綜合大樓地下大堂 (星巴克外) \nLaboratory Tour / 實驗室參觀\nLG-303\, LG3/F\, Chow Yei Ching Building\n周亦卿樓LG3樓 LG303室\nUG Admission Talks 本科生入學講座 (BEng | JS6987)\nLecture Theatre A\, G/F\, Chow Yei Ching Building\n周亦卿樓地下演講堂A\n10:30 am – 11:00 am  /  01:15 pm – 01:45 pm  /  04:00 pm – 04:30 pm\n\n  \nVisit the Faculty website for the event details  於港大工程學院網頁查看更多活動詳情:\nhttps://engg.hku.hk/News-Events/Details/id/8589 \nClick HERE to view more about the UG programmes offered by HKU-EEE (JS6987).\n按此查看更多關於本系的本科課程（JS6987）。 \n \nAdmissions for HKU Engineering UG students 港大工程本科招生:\nhttps://www.ugadmissions.engg.hku.hk \n \n 
URL:https://ece.hku.hk/events/20251025-1/
LOCATION:The University of Hong Kong
CATEGORIES:Highlights,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251105T140000
DTEND;TZID=Asia/Hong_Kong:20251105T150000
DTSTAMP:20260510T031606
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251107T103000
DTEND;TZID=Asia/Hong_Kong:20251107T113000
DTSTAMP:20260510T031606
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2025/10/20251107-1-02.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251107T160000
DTEND;TZID=Asia/Hong_Kong:20251107T170000
DTSTAMP:20260510T031606
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251110T163000
DTEND;TZID=Asia/Hong_Kong:20251110T173000
DTSTAMP:20260510T031606
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2025/11/1280-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251117T110000
DTEND;TZID=Asia/Hong_Kong:20251117T120000
DTSTAMP:20260510T031606
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:20260510T031606
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251121T110000
DTEND;TZID=Asia/Hong_Kong:20251121T120000
DTSTAMP:20260510T031606
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251202T140000
DTEND;TZID=Asia/Hong_Kong:20251202T150000
DTSTAMP:20260510T031606
CREATED:20251113T062320Z
LAST-MODIFIED:20251126T063144Z
UID:113888-1764684000-1764687600@ece.hku.hk
SUMMARY:Seminar on Bi-Static Sensing for Next Generation Perceptive Communication Networks: Technologies and Applications
DESCRIPTION:The event time has been revised to start at 2:00 pm. \nAbstract\nIntegrated Sensing and Communications (ISAC) represents a paradigm shift from conventional communication-only networks toward systems that natively integrate radar-like sensing capabilities. It has become a foundational technology for next-generation wireless systems\, including Wi-Fi and 6G networks. \nBi-static sensing\, where a sensing receiver exploits signals transmitted by another node\, naturally aligns with the topology of communication networks. It circumvents the stringent full-duplex requirements of mono-static sensing and offers enhanced spatial sensing diversity. However\, clock (Local oscillating signal) asynchronism\, which inherently exists among spatially separated communication nodes\, poses a central and challenging problem. It can cause ranging ambiguities and disrupt coherent processing of discontinuous measurements\, such as those required for Doppler frequency estimation. If effectively resolved\, sensing could be seamlessly realised within existing communication infrastructures\, requiring minimal hardware or architectural modifications. \nThis talk explores advanced techniques for tackling clock asynchronism in bi-static sensing\, with a focus on efficient single-receiver-based solutions. The problem will first be introduced in the context of 6G perceptive mobile networks\, followed by a comprehensive overview of recent methods applicable to both multi-antenna and single-antenna configurations. I will then present our latest sensing applications developed using these techniques\, including moving-object tracking\, respiration and heartbeat monitoring\, behavior recognition\, and environmental sensing such as rainfall and water-level detection. The talk concludes by outlining key open challenges and future research directions in this rapidly evolving field. \nSpeaker\nProf. Andrew ZHANG\nUniversity of Technology Sydney \nSpeaker’s Biography\nProf. J. Andrew ZHANG (M’04-SM’11) is a Professor in the School of Electrical and Data Engineering\, University of Technology Sydney\, Australia. His research interests are in the area of signal processing for wireless communications and sensing. He has published more than 300 papers in leading Journals and conference proceedings\, and has won 7 best paper awards. He is a recipient of CSIRO Chairman’s Medal and the Australian Engineering Innovation Award for exceptional research achievements in multi-gigabit wireless communications. He is one of the pioneer researchers in ISAC. He initiated the concept of perceptive mobile network in 2017. Since then\, his team has published more than 70 top-tier journal papers on ISAC\, including several highly cited and review articles. In this field\, he has led or participated in multiple research projects with a total value of over AUD 8 million\, established a Joint Laboratory on Network Sensing with a mobile network operator\, developed multiple real-time ISAC demonstration systems\, and is currently advancing their commercialisation. Prof. Zhang co-organised a number of ISAC workshops at leading conferences and special issues in leading IEEE journals. He has also delivered multiple ISAC tutorials and numerous keynotes and invited talks. For details\, please refer to Prof. Zhang’s profile page: https://sites.google.com/view/andrewzhang \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/20251202-1/
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:20251205T110000
DTEND;TZID=Asia/Hong_Kong:20251205T120000
DTSTAMP:20260510T031606
CREATED:20251118T074008Z
LAST-MODIFIED:20251118T083942Z
UID:113926-1764932400-1764936000@ece.hku.hk
SUMMARY:Seminar on 40 Years of Proton Magnetic Resonance Spectroscopy in Human Brain
DESCRIPTION:Abstract\nThe development of whole-body MRI scanners in the late 1980s at field strengths of 1.5T\, together with other fundamental technological advances such shielded field gradients and single-shot spatial localization techniques\, enabled the non-invasive collection of spectra from the human in just a few minutes of scan time. Since that time\, there have been many technical advances and clinical studies performed\, and it remains an active area of research and development. This presentation will review key technical developments including spatial localization techniques for both single voxel spectroscopy and spectroscopic imaging\, spectral analysis\, spectral editing\, and the effects of increasing magnetic field strength. In addition\, the metabolic information from in vivo MRS will be discussed\, including metabolic changes that can be detected in various pathological states\, and applications in the clinic. Finally\, some of the challenges facing the clinical use of MRS and sustainability will be discussed. \nSpeaker\nProf. Peter BARKER\nDirector of Division of MR Research\nJohn Hopkins University School of Medicine \nSpeaker’s Biography\nPeter BARKER\, D.Phil.\, is a Professor of Radiology and Oncology\, and Director of the Division of MR Research at the Johns Hopkins University School of Medicine in Baltimore\, Maryland. He holds a D.Phil. degree in Physical Chemistry from Oxford University.  Since 1989\, he has been a faculty member of the Russell H. Morgan Department of Radiology and Radiological Science at Johns Hopkins\, where his primary interest has been the development of proton MR spectroscopy\, and other MRI techniques\, for applications in the human brain. He has published over 315 original\, peer-reviewed articles\, more than 45 commentaries\, review articles and book chapters\, as well as 3 books on Clinical MR Neuroimaging\, Spectroscopy and Perfusion Imaging. Dr Barker is a fellow of the ISMRM society\, and an editor for the journals Magnetic Resonance in Medicine and NMR in Biomedicine. \nOrganiser\nProf. Ed Xuekui WU\nChair of Biomedical Engineering\,\nLam Woo Professorship in Biomedical Engineering\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong\n\nAll are welcome!
URL:https://ece.hku.hk/events/20251205-1/
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:20251208T140000
DTEND;TZID=Asia/Hong_Kong:20251208T150000
DTSTAMP:20260510T031606
CREATED:20251121T085327Z
LAST-MODIFIED:20251121T094034Z
UID:114160-1765202400-1765206000@ece.hku.hk
SUMMARY:Seminar on Semiconductor Nanodimer as a Partially Open Terahertz Resonator
DESCRIPTION:The event has been rescheduled to December 8\, 2025 (Monday). \nAbstract\nResonators are often the first apparatus to be constructed and thoroughly investigated when a new region of the spectrum is being explored. From the days of spark-gap generators in early radio transmission to the more recent maser and laser era\, resonant systems have always been essential in enabling a given range of the spectrum to become accessible to electronic communication and instrument applications. With the current interest in terahertz technology\, it would appear logical to search for structures or physical processes that exhibit natural resonances in the terahertz range. Plasma resonance in extrinsic semiconductors can be designed to exhibit field concentration and guiding characteristics that are impetus for sensing and circuitry applications for research and development of terahertz technology. While a single semiconductor nanoparticle (SNP) does exhibit surface plasmon resonance\, the local terahertz field garnered near the two poles of an SNP lacks symmetry and is strongly influenced by the embedding medium. On the other hand\, a semiconductor nanodimer (SND) formed by two SNPs with a gap in between them offers a more secluded environment for field enhancement with better symmetry in field distribution. Considerable attention has been given to metallic nanodimers\, leading to their roles in sensing and antenna applications. On the other hand\, investigations on SNP and SND are currently in the early stage. The salient characteristics of SNDs formed with matched and dissimilar SNPs are discussed in light of their potential for terahertz components and systems development. \nSpeaker\nProf. Thomas WONG\nProfessor Emeritus\,\nDepartment of Electrical and Computer Engineering\,\nIllinois Institute of Technology\nAdjunct Professor of HKU-EEE \nSpeaker’s Biography\nThomas WONG received the B.Sc. degree from the University of Hong Kong\, and the M.S. and Ph.D. degrees from Northwestern University\, all degrees being in Electrical Engineering. He was a Product Engineer at Motorola Semiconductor (HK) before going to the United States for graduate study. He joined Illinois Institute of Technology as a faculty member in 1981 and is currently a Professor Emeritus in the Electrical and Computer Engineering (ECE) Department. He has conducted research in material measurements\, charge transport in ionic and electronic conductors\, transient electromagnetics\, millimeter-wave communication systems\, and propagation effects in high-speed semiconductor devices. In collaboration with Argonne National Laboratory and Fermilab\, he has contributed to research in dielectric loaded accelerators\, coupler design for superconducting multicell cavity resonators\, and nanoscale position sensors. Recent activities have been on space-charge interactions in semiconductor nanostructures. He has served as Graduate Program Director and Department Chair of the ECE Department. In the 1998-1999 academic year he served as the Chair of the University Faculty Council. He is the author of Fundamentals of Distributed Amplification (Artech 1993) and coauthor of Electromagnetic Fields and Waves (Higher Education Press\, 2002 and 2006). He is a Fellow of the International Association of Advanced Materials. \nOrganiser\nIr Dr. King Hang LAM\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong\n\nAll are welcome!
URL:https://ece.hku.hk/events/20251208-1/
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:20251213T140000
DTEND;TZID=Asia/Hong_Kong:20251213T171000
DTSTAMP:20260510T031606
CREATED:20250808T010012Z
LAST-MODIFIED:20251208T021345Z
UID:114346-1765634400-1765645800@ece.hku.hk
SUMMARY:HKU-KAUST Joint Postgraduate Workshop on Computational Imaging 2025
DESCRIPTION:All EEE postgraduate (TPg & RPg) students are welcome! \nThe upcoming “HKU-KAUST Joint Postgraduate Workshop on Computational Imaging 2025” will be held on December 13\, 2025\, organised by the Computational Imaging & Mixed Representation Laboratory. The workshop aims to encourage innovative spirit\, promote excellence and sustain quality\, strive for improvement\, and connect communities. For details of the workshop and speakers\, please visit the event website: https://hku.welight.fun/events/workshop_25Dec \nCoffee\, tea\, and a reception will be provided. \n \nMC\nProf. Evan Y. PENG\, HKU EEE x CS \nCoordinators\nDr. Xin Liu @ HKU; Dr. Qiang Fu @ KAUST \nSpeakers/Guests\n\nWolfgang HEIDRICH\, King Abdullah University of Science and Technology & The University of Hong Kong\nYuhui LIU\, The University of Hong Kong\nNajia SHARMIN\, The University of Hong Kong\nQiang FU\, King Abdullah University of Science and Technology\nErqian DONG\, The University of Hong Kong\nChutian WANG\, The University of Hong Kong\nJiankai XING\, Tsinghua University\nKaixuan WEI\, King Abdullah University of Science and Technology\nZhenyang LI\, The University of Hong Kong\nShi MAO\, King Abdullah University of Science and Technology\nYanmin ZHU\, The University of Hong Kong\nWenbin ZHOU\, The University of Hong Kong
URL:https://ece.hku.hk/events/20251213-1/
LOCATION:Room 602\, Student Commons 6/F\, Pacific Plaza (Off-campus)\, Hong Kong SAR
CATEGORIES:Highlights,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251214T133000
DTEND;TZID=Asia/Hong_Kong:20251214T180000
DTSTAMP:20260510T031606
CREATED:20251211T093001Z
LAST-MODIFIED:20251211T093001Z
UID:114399-1765719000-1765735200@ece.hku.hk
SUMMARY:ACM SIGGRAPH Asia 2025 Pre-Conference Technical Workshop
DESCRIPTION:Click HERE to view the details.
URL:https://ece.hku.hk/events/20251214-1/
LOCATION:Room CPD-2.42\, 2/F\, The Jockey Club Tower\, Centennial Campus\, HKU
CATEGORIES:Highlights,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251216T141500
DTEND;TZID=Asia/Hong_Kong:20251216T151500
DTSTAMP:20260510T031606
CREATED:20251213T025301Z
LAST-MODIFIED:20251213T025434Z
UID:114410-1765894500-1765898100@ece.hku.hk
SUMMARY:Seminar on Developing Value-driven AI: Building Large Language Models with Social Good Principles
DESCRIPTION:Abstract\nThis talk highlights the critical need and urgency for academic communities to advance artificial intelligence (AI) with a focus on value-driven and socially-beneficial LLMs. The presentation is structured in two parts. First\, I will briefly outline my academic and research background\, our vision for AI for Social Good\, and key contributions from over a decade of work in this field. The second part will focus on the development of a large language model (LLM) system embedded with social good principles. As LLMs\, like ChatGPT\, become integral to daily life\, understanding and addressing their ethical and social implications is paramount. This talk explores how implicit values in AI systems can be identified and reshaped using techniques such as fine-tuning and data generation to align with inclusive\, responsible\, and ethical standards. By embedding societal values into LLM design\, this work aims to foster AI systems that promote fairness\, accountability\, and positive societal impact. The significance of this talk lies in its potential to inspire HKU to prioritize ethical AI development\, shaping a future where AI serves as an accelerator for social good. \nSpeaker\nProf. Jacqueline C.K. LAM\nAssociate Professor\,\nDepartment of Electrical and Electronic Engineering (EEE)\,\nThe University of Hong Kong (HKU) \nSpeaker’s Biography\nProf. Jacqueline C.K. LAM is an Associate Professor in the Department of Electrical and Electronic Engineering (EEE) at The University of Hong Kong (HKU)\, where she co-leads the HKU-AI to Advance Well-being and Society Research Lab. With a PhD in Environmental Management from HKU’s Faculty of Architecture (2008)\, she earned a competitive university-wide Research Assistant Professorship based in EEE\, HKU in 2011\, enabling her to pursue interdisciplinary research integrating data science\, social sciences\, neuroscience\, and ethics. Prof. Lam champions AI for Social Good (AIfSG)\, her research places priority on addressing societal challenges\, particularly in air pollution\, asthma and Alzheimer’s disease\, emphasizing fairness\, explainability\, through big data and AIfSG technologies. \nProf. Lam co-leads projects that secured four consecutive U.S. National Academy of Medicine Healthy Longevity Catalyst Awards (2021–2024) with Prof. Victor O.K. Li\, advancing AI-driven early diagnosis and drug discovery for Alzheimer’s disease. She co-leads in Co-PI capacity a 50M HKD RGC Theme-based Research Grant for smart air pollution monitoring and health management\, and a 3.25M HKD RGC-SPPR grant in 2011 for cross-border nuclear safety governance\, reflecting her dedication to impactful\, collaborative socially-beneficial research. \nShe cherishes her international collaborations\, including roles as Visiting Senior Research Fellow at the University of Cambridge’s Judge Business School (since 2013)\, Visiting Fellow at Hughes Hall\, and Visiting Academic at the Department of Computer Science and Technology at Cambridge. Prof. Lam a Visiting Scholar at MIT’s Centre for Energy and Environmental Policy Research and MIT EECS in 2019. In collaboration with Prof. Jon Crowcroft\, FRS. At Cambridge\, they have co-organized five AIfSG symposiums since 2018\, fostering global academic dialogue in value-driven AI research. \nIn teaching\, Prof. Lam is committed to mentoring PhD students at HKU\, nurturing innovative thinkers in AIfSG. She co-established the pioneering HKU-Cambridge PhD Pathway\, enabling engineering students to pursue an MPhil in Technology Policy at Cambridge Judge Business School\, and pioneered interdisciplinary courses on Climate Change and Sustainability (2013–2020) and Deep Learning and Applications (2019-2025). As Area Editor of the Cambridge University Press journal Data and Policy\, she contributes to global discussions on value-driven data policy. Her publications span multiple disciplines\, including IEEE Transactions\, Nature Scientific Reports\, Nature Molecular Psychiatry\, Journal of Alzheimer’s Disease\, Environment International\, Applied Energy\, Energy Policy\, and Data and Policy. Co-directing the HKU-AI WiSe and three HKU-Cambridge AI Research Platforms\, Prof. Lam humbly seeks to advance AIfSG. \nAll are welcome!
URL:https://ece.hku.hk/events/20251216-1/
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:20251217T100000
DTEND;TZID=Asia/Hong_Kong:20251217T110000
DTSTAMP:20260510T031606
CREATED:20251215T071917Z
LAST-MODIFIED:20251215T072002Z
UID:114421-1765965600-1765969200@ece.hku.hk
SUMMARY:Seminar on Efficient Generative Modelling\, Multi-agent Systems Based on Knowledge Graphs and LLMs
DESCRIPTION:Abstract\nI will overview our recent results on diffusion generative modelling and how to make inference faster\, just in a few steps; also\, I will provide some new concepts of Engineering AI and discuss how we can construct efficient multi-agent systems based on knowledge graphs and LLMs to solve complex engineering problems. \nSpeaker\nProf. Evgeny BURNAEV\nVice President for AI Development & Professor\,\nSkolkovo Institute of Science and Technology\nVisiting Chair Professor\,\nHarbin Institute of Technology \nSpeaker’s Biography\nEvgeny BURNAEV is Vice President for AI Development and Professor at the Skolkovo Institute of Science and Technology (Skoltech)\, where he also directs the Skoltech AI Center. His research focuses on engineering AI\, generative modelling\, optimal transport\, physics-informed machine learning\, and topological data analysis for reliable\, efficient\, and interpretable AI systems. At the AI Center\, Burnaev leads interdisciplinary projects that bridge theoretical foundations and large-scale applications in energy\, transport\, materials\, and climate modelling. \nHe has authored more than 200 peer-reviewed publications in leading international venues (NeurIPS\, ICML\, ICLR\, IEEE\, Nature Scientific Reports) and collaborates with global industry leaders such as Sber\, Huawei\, and Gazprom Neft. His achievements have been recognised with the Russian Government Prize in Science and Technology (2024)\, the Sber Science Award (2024)\, and inclusion in the Elsevier–Stanford global Top-2% scientists list (2023–2025). He also serves as Visiting Chair Professor at the Harbin Institute of Technology and contributes to international expert communities and program committees advancing transparent and trustworthy AI worldwide. \nOrganiser\nProf. Ngai WONG\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong\n\nAll are welcome!
URL:https://ece.hku.hk/events/20251217-1/
LOCATION:Room CB-601J\, 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:20251219T150000
DTEND;TZID=Asia/Hong_Kong:20251219T163000
DTSTAMP:20260510T031606
CREATED:20251216T014340Z
LAST-MODIFIED:20251216T014340Z
UID:114428-1766156400-1766161800@ece.hku.hk
SUMMARY:Seminar on An Update on Machine Learning for Communication Networks
DESCRIPTION:Abstract\nThe speaker aims to provide an update on recent progress by his research team on machine learning for communication networks. If time permits\, he will also highlight his work on distributed quantum computing and quantum machine learning. \nEfficient allocation of limited resources to competing demands is a crucial issue in the design and management of communication networks. In this seminar\, the speaker will first introduce a new reinforcement-learning (RL) technique for achieving optimal resource allocation in networks with periodic traffic patterns. The effectiveness of this method will be demonstrated through numerical examples. \nIn addition\, a new RL technique will be presented that separates representation learning from RL to enable fully decentralised learning in partially observable multi-agent settings. The approach relies on learned beliefs over the underlying system state. A belief model is first trained by using complete environment information\, which is then used by a state-based RL algorithm using distributed\, local observations only. A set of partially observable environments is constructed\, and the efficacy of this new approach is shown and compared to relevant benchmarks. \nIf time permits\, the speaker will also highlight his recent work on distributed quantum computing and quantum machine learning. \nSpeaker\nProf. Kin K. LEUNG\nDepartment of Electrical and Electronic Engineering\,\nDepartment of Computing\,\nImperial College\, London \nSpeaker’s Biography\nKin K. LEUNG received his B.S. degree from the Chinese University of Hong Kong\, and the M.S. and Ph.D. degrees from University of California\, Los Angeles. He worked at AT&T Bell Labs and its successor companies in New Jersey from 1986 to 2004. Since then\, he has been the Tanaka Chair Professor at Imperial College in London. He was the Head of Communications and Signal Processing Group from 2019 to 2024 and now serves as Co-Director of the School of Convergence Science: Space\, Security and Telecommunications at Imperial. His current research focuses on optimisation and machine learning for design and control of large-scale communications\, computer and quantum networks. He also works on multi-antenna and cross-layer designs for wireless networks. \nHe is a Fellow of the Royal Academy of Engineering\, IEEE Fellow\, IET Fellow\, and member of Academia Europaea. He received the Distinguished Member of Technical Staff Award from AT&T Bell Labs (1994) and the Royal Society Wolfson Research Merits Award (2004-09). Jointly with his collaborators\, he received the IEEE Communications Society (ComSoc) Leonard G. Abraham Prize (2021)\, the IEEE ComSoc Best Survey Paper Award (2022)\, the U.S.–UK Science and Technology Stocktake Award (2021)\, the Lanchester Prize Honorable Mention Award (1997)\, and several best conference paper awards. He chaired the IEEE Fellow Evaluation Committee for ComSoc (2012-15) and served as the General Chair of the IEEE INFOCOM 2025. He has served as an editor for 10 IEEE and ACM journals and chaired the Steering Committee for the IEEE Transactions on Mobile Computing. Currently\, he is an editor for the ACM Computing Survey and International Journal of Sensor Networks. \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/20251219-1/
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:20260106T110000
DTEND;TZID=Asia/Hong_Kong:20260106T120000
DTSTAMP:20260510T031606
CREATED:20251205T070843Z
LAST-MODIFIED:20251205T070843Z
UID:114342-1767697200-1767700800@ece.hku.hk
SUMMARY:Seminar on Machine Learning\, Artificial Intelligence\, Neuro Imaging Focusing on Longevity and Dementia (MANIFOLD)
DESCRIPTION:Abstract\nBrain health is one of the key societal challenges for the 21st century\, and much progress has been made in understanding and treating brain health conditions\, aided by growing use of neuroimaging. Meanwhile\, artificial intelligence and machine learning (AI/ML) technologies have revolutionised many domains\, including healthcare. However\, there is still a translational gap between AI/ML methods and the use of neuroimaging to detect\, treat and care for people with neurodegenerative or neurodevelopmental conditions. My talk will provide an overview of the research of the MANIFOLD lab at UCL\, that aims to bridge this gap and provide clinically useful neuroimaging tools to improve brain health. I will focus on methods that emphasise the individual patient\, namely the brain-age paradigm and neuroanatomical normative modelling\, applied to Alzheimer’s disease and dementia with Lewy bodies and frontotemporal dementia. Beyond this\, I will talk about our research in explainable AI (XAI)\, AI/ML data fusion\, automated ML and accessible MRI using portable scanners and how we have or plan to apply these in studies of brain diseases. \nSpeaker\nProf. James COLE\nProfessor of Neuroimage Computing\,\nUCL Hawkes Institute and the Dementia Research Centre (DRC)\,\nUniversity College London (UCL) \nSpeaker’s Biography\nJames Cole is Professor of Neuroimage Computing at the UCL Hawkes Institute and the Dementia Research Centre (DRC) at University College London (UCL). His research interests include brain ageing\, neurological and psychiatric diseases\, with a particular focus on ageing\, neurodegeneration and dementia. His work uses machine learning\, deep learning and related statistical methods with the goal of developing clinically useful neuroimaging tools. He is Principal Investigator of the MANIFOLD Lab. \nOrganiser\nProf. Ed Xuekui WU\nChair of Biomedical Engineering\,\nLam Woo Professorship in Biomedical Engineering\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/20260106-2/
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:20260106T143000
DTEND;TZID=Asia/Hong_Kong:20260106T153000
DTSTAMP:20260510T031606
CREATED:20251204T020220Z
LAST-MODIFIED:20251204T020220Z
UID:114335-1767709800-1767713400@ece.hku.hk
SUMMARY:Seminar on Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximisation
DESCRIPTION:Abstract\nIn this talk\, we will introduce SubLoRA\, a rank determination method for Low-Rank Adaptation (LoRA) based on submodular function maximisation. In contrast to prior approaches\, such as AdaLoRA\, that rely on first-order (linearised) approximations of the loss function\, SubLoRA utilises second-order information to capture the potentially complex loss landscape by incorporating the Hessian matrix. We show that the linearization becomes inaccurate and ill-conditioned when the LoRA parameters have been well optimised\, motivating the need for a more reliable and nuanced second-order formulation. To this end\, we reformulate the rank determination problem as a combinatorial optimisation problem with a quadratic objective. However\, solving this problem exactly is NP-hard in general. To overcome the computational challenge\, we introduce a submodular function maximisation framework and devise a greedy algorithm with approximation guarantees. We derive a sufficient and necessary condition under which the rank-determination objective becomes submodular\, and construct a closed-form projection of the Hessian matrix that satisfies this condition while maintaining computational efficiency. Our method combines solid theoretical foundations\, second-order accuracy\, and practical computational efficiency. We further extend SubLoRA to a joint optimisation setting\, alternating between LoRA parameter updates and rank determination under a rank budget constraint. Extensive experiments on fine-tuning physics-informed neural networks (PINNs) for solving partial differential equations (PDEs) demonstrate the effectiveness of our approach. Results show that SubLoRA outperforms existing methods in both rank determination and joint training performance. \nSpeaker\nDr. Yihang GAO\nDepartment of Mathematics\,\nNational University of Singapore (NUS)\, Singapore \nSpeaker’s Biography\nYihang GAO is currently a Research Fellow in the Department of Mathematics at the National University of Singapore (NUS)\, Singapore. He received the B.S. degree in Mathematics and Applied Mathematics from Zhejiang University\, China\, in 2020\, and the Ph.D. degree in Mathematics from The University of Hong Kong (HKU)\, Hong Kong SAR\, in 2024. His research interests include mathematical machine learning\, optimisation\, and scientific computing. \nOrganiser\nProf. Kaibin HUANG\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nAll are welcome!
URL:https://ece.hku.hk/events/20260106-1/
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:20260114T140000
DTEND;TZID=Asia/Hong_Kong:20260114T150000
DTSTAMP:20260510T031606
CREATED:20251209T084053Z
LAST-MODIFIED:20251209T084053Z
UID:114360-1768399200-1768402800@ece.hku.hk
SUMMARY:Seminar on Quantum Dot Nanocrystal Based Optoelectronic Devices and Infrared Image Sensors
DESCRIPTION:Abstract\nColloidal semiconductor quantum dot nanocrystals (QD NCs) have been shown to be promising materials for electronic and optoelectronic device applications because of their unique size dependent properties and solution processability. We develop a systematic methods to engineer the surface chemistry of quantum dot nanocrystals to control the charge carrier statistics as well as optical properties. We fabricate QD based infrared photodetectors (PDs) by examining and modifying the charge carrier transport and injection and by designing the structures of the nanocrystal based devices. Combinational studies have been conducted to improve the responsivity\, linear dynamic range\, noise\, detectivity of the PDs. A new patterning method is introduced by engineering the surface states of QDs\, achieving the high resolution devices. Newly developed patterning method is compatible with conventional photolithography process based on all‐solution processes. We introduce the pixel based and pixel-less image sensors with photomultiplication process in QD thin films. Finally\, the strategy to incorporate various NCs and QDs into multi-functional devices and system is discussed. \nSpeaker\nProf. Soong Ju OH\nDepartment of Materials Science and Engineering\,\nKorea University \nSpeaker’s Biography\nProf. Soong Ju OH obtained B.S. degree in Materials Science and Engineering from Korea University in 2007\, and received his Ph.D degree in Materials Science and Engineering from the University of Pennsylvania. He worked in KIST from 2007 to 2008\, and worked as a postdoctoral researcher at the University of Illinois at Urbana Champaign from 2014 to 2015. He joined the faculty of Korea University in 2015\, and is now a full professor of Materials Science and Engineering at Korea University. His current research interests include quantum dot and nanocrystal based electronic and optoelectronic devices\, and multifunctional\, image and wearable sensors. \nOrganiser\nProf. Leo Tianshuo ZHAO\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong\n\nAll are welcome!
URL:https://ece.hku.hk/events/20260114-1/
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260120T100000
DTEND;TZID=Asia/Hong_Kong:20260120T113000
DTSTAMP:20260510T031606
CREATED:20260112T102130Z
LAST-MODIFIED:20260113T011347Z
UID:114591-1768903200-1768908600@ece.hku.hk
SUMMARY:Seminar on Advanced Solid-State Laser Technology and Its Applications
DESCRIPTION:*After the seminar\, you are also welcome to attend in-person discussions with the speakers from 11:30 am to 12:30 pm in Room 601J. \nAbstract\nSolid-state lasers mean laser systems using solid-state materials as the gain medium\, primarily including rod\, slab\, disc\, fiber\, and semiconductor lasers. These methods offer advantages such as high output power\, excellent electro-optical efficiency\, broad wavelength coverage\, wide pulse modulation range\, compact size\, high stability and reliability\, user-friendly operation\, and low comprehensive cost. They have been widely applied in fields such as advanced manufacturing\, electronics\, biochemistry\, medical applications\, and scientific research\, accounting for up to 84% of current laser equipment. This report will focus on the characteristics of high-power solid-state lasers\, global research advancements\, and the major achievements in high-power solid-state laser technology and applications made by the Laser Center at the Institute of Physics and Chemistry\, Chinese Academy of Sciences (TIPC\, CAS). The key achievements include ten-kilowatt-level near-infrared lasers\, kilowatt-level green lasers\, hundred-watt-level sodium beacon lasers\, hundred-watt-level ultraviolet\, and deep ultraviolet lasers\, which could be applied in fields such as laser precision machining\, detection imaging\, advanced medical treatments\, and cutting-edge scientific exploration. \nSpeaker\nProf. Yong BO & Prof. Xiaoyong GUO\nInstitute of Physics and Chemistry (TIPC)\,\nChinese Academy of Sciences (CAS) \nSpeakers’ Biography\nProf. Yong BO was born in Feb. 1972 and held Ph.D. in Engineering. He currently serves as a Research Fellow and Ph.D. Supervisor at the Institute of Physics and Chemistry (TIPC)\, Chinese Academy of Sciences (CAS). He obtained his Ph.D. from Tsinghua University in 2003 and worked at the Institute of Physics\, CAS from 2003 to 2008. Since 2008\, he has always been working at TIPC\, CAS. His primary research focuses on high-power solid-state lasers with the frequency conversion technologies. He has achieved many world- advanced research results include ten-kilowatt-level near-infrared solid-state lasers\, kilowatt-level green solid-state lasers\, hundred-watt-level ultraviolet solid-state lasers\, and hundred-watt-level sodium beacon solid-state lasers\, which are applied in fields such as laser precision machining\, detection imaging\, and laser medicine. He has been awarded the Second Class Award of the National Technological Invention Award in 2017 and the Beijing Science and Technology Award in 2015. He has published over 200 papers and obtained more than 50 invention patents. \nProf. Xiaoyong GUO was born in Feb. 1974 and held a Ph.D. in Science. He currently serves as a Research Fellow\, Ph.D. Supervisor\, and Deputy Director at the Institute of Physics and Chemistry (TIPC)\, Chinese Academy of Sciences (CAS). Concurrently\, He also holds positions as the Deputy Director of the National Key Laboratory of Light Turbine Power\, head of the CAS Expert Group for Specialized Fields\, and leader or member of multiple national-level expert groups. With extensive experience in optical and mass spectrometry research as well as strategic high-tech management\, he has served as chief or deputy chief commander for numerous national initiatives and led multiple national and provincial-level research projects. His accolades include one national-level award and two provincial-and-ministerial-level awards. He has published dozens of academic papers and three monographs. \nOrganisers\nProf. Chao XIANG & Prof. Xianhao CHEN\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong
URL:https://ece.hku.hk/events/20260120-1/
LOCATION:Room CB-601J\, 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:20260127T150000
DTEND;TZID=Asia/Hong_Kong:20260127T163000
DTSTAMP:20260510T031606
CREATED:20260122T101148Z
LAST-MODIFIED:20260122T101353Z
UID:114681-1769526000-1769531400@ece.hku.hk
SUMMARY:Seminar on Approaches to Modelling and Analysis of Sustainable Power Networks
DESCRIPTION:Abstract\nDue to the evident climate change and environmental pressures the future power/energy systems will have to operate\, sooner rather than later\, in a net-zero environment. This will manifest in a mix of wide range of electricity generation\, storage and demand technologies (increasingly power electronics interfaced); blurred boundaries between transmission and distribution system; significantly higher reliance on the use of legacy and measurement data including global signals for system identification\, characterisation\, and control and Information and Communication Technology embedded within the power system network and its components. The key characteristics of such a complex system\, would certainly be proliferation of power electronic devices in different shapes and forms and for different purposes\, increased uncertainties in system operation and parameters and much larger reliance on the use of measurement and other data collected. \nThis presentation will first briefly introduce some of the key characteristics of net-zero power systems characterised by high proliferation of power electronics (PE) based transmission and control devices/technologies and power electronics connected low carbon technologies (generation\, demand and storage). It will then discuss the control and operation advantages that introduction of these technologies offers\, reflect on resulting challenges that their introduction in the power system poses and elaborate on the need for holistic (multi parameter\, multi criteria and multi system) approach to solving the identified challenges. \nThis will be followed by illustrative examples of both\, advantages and disadvantages resulting from proliferation of power electronics based technologies on power system’s steady state and dynamic performance and examples of a holistic approach to multicriteria multi system analysis of net zero power systems focusing on applications of nondeterministic approaches\, use of data analytics and machine learning. \nThe presentation will conclude with recommendations for overcoming the identified challenges and harnessing the full potential of power electronics based or interfaced technologies for transition to net-zero power systems in foreseeable future. \nSpeaker\nProf. Jovica V MILANOVIĆ\nFormer Head of Department (Dean)\,\nElectrical and Electronic Engineering\,\nThe University of Manchester \nSpeaker’s Biography\nProf. Jovica V MILANOVIĆ received Dipl.Ing. and M.Sc. degrees from the University of Belgrade\, Yugoslavia\, Ph.D. degree from the University of Newcastle\, Australia\, and D.Sc. degree from The University of Manchester\, UK. Prior to joining The University of Manchester\, UK\, in 1998\, he worked with “Energoproject”\,\nEngineering and Consulting Co. and the University of Belgrade in Yugoslavia\, and the Universities of Newcastle and Tasmania in Australia. \nProf. Milanović is immediate past Head of Department (Dean) of Electrical and Electronic Engineering at The University of Manchester\, UK\, Visiting Professor at the University of Novi Sad and the University of Belgrade\, Serbia and Honorary Professor at the University of Queensland\, Australia. \nHe was chairman of 6 international conferences\, member of 9 (convenor of 3) past IEEE/CIGRE/CIRED WG\, participated in or lead numerous research projects with total value of over £86 million\, published over 650 research papers and reports\, gave over 35 key-note speeches at international conferences and presented over 150 courses/tutorials and lectures to industry and academia around the world. In addition to his academic work\, he has been or is a consultant for various international companies including\, Member of the Rolls-Royce Plc. Executive Advisory Board (Research and Technology – Energy: Electrical\, Control Systems & Electronics)\, UK\, Member of the Electricity North West Ltd. Customer Engagement Group\, Member of the Independent Net Zero Advisory Council\, Scottish Power Energy Networks\, UK\, Member of the International Advisory Board\, El. Eng. Institute “Nikola Tesla”\, Belgrade\, Serbia and Member of Board of Directors (non-executive Director) of Montenegrin Electric Enterprise AD Niksic\, Montenegro. \nProf. Milanovic is Fellow of the Royal Academy of Engineering (UK)\, Foreign member of the Serbian Academy of Engineering Sciences\, Fellow of the IEEE\, Fellow of the IET Chartered Engineer in the UK and Distinguished IEEE PES Lecturer. He is a member of IEEE PES Governing board\, Executive Board and Financial Committee\, IEEE PES Long Range Planning Committee and IEEE PES Vice President – Publications. He was a member of the IEEE PES Governing Board as Regional Representative for Europe\, Middle East and Africa for six years\, member and vice-chair of IEEE PES Fellows Evaluation Committee\, Chair of the IEEE Herman Halperin Transmission and Distribution Award Committee\, member of the IEEE Fellows Committee and immediate past Editor-in-Chief of IEEE Transactions on Power Systems. \nOrganiser\nProf. Yunhe HOU\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nAll are welcome!
URL:https://ece.hku.hk/events/20260127-1/
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:20260129T110000
DTEND;TZID=Asia/Hong_Kong:20260129T120000
DTSTAMP:20260510T031606
CREATED:20260119T015543Z
LAST-MODIFIED:20260119T015543Z
UID:114612-1769684400-1769688000@ece.hku.hk
SUMMARY:Seminar on Distributed Optimisation Frameworks for Large-Scale Nonlinear Programming in Power Systems
DESCRIPTION:Abstract\nThe ongoing energy transition is challenging centralised power system paradigms by rapidly integrating distributed energy resources (DERs)\, which introduce significant supply-demand variability. This variability complicates grid management and necessitates enhanced coordination among operators. Centralised data aggregation further exacerbates privacy risks and strains the communication infrastructure as the proliferation of controllable devices increases.\nTo address these challenges\, this presentation introduces advances in distributed frameworks for nonconvex nonlinear programming (NLP). The first approach refines a distributed Sequential Quadratic Programming (SQP) framework that integrates the barrier method and Schur-complement-based communication reduction\, enabling efficient parallelisation through graph decomposition. Large-scale AC optimal power flow (OPF) benchmarks demonstrate its superiority over the centralised solver IPOPT. The framework solves problems with over 500\,000 variables at speeds 2–8 times faster than IPOPT on standard workstations while maintaining numerical robustness. The second approach leverages the hierarchical structure of integrated transmission–distribution (ITD) systems and casts coordination as a non-iterative\, two-layer optimisation scheme. By communicating aggregated distribution-level flexibility to the transmission layer\, the method eliminates the need for detailed distribution-network models in system-level coordination. Simulations under severe weather conditions in Germany demonstrate robustness to prediction errors and underscore the scalability and privacy-preserving properties of the proposed strategy. \nSpeaker\nDr. Xinliang DAI\nPostdoctoral Research Associate\,\nPrinceton University \nSpeaker’s Biography\nDr. Xinliang DAI received the B.Sc. degree from Jilin University\, China\, and the M.Sc. and Ph.D. degrees from the Karlsruhe Institute of Technology (KIT)\, Germany. He is currently a Postdoctoral Research Associate with the Zero-carbon Energy Systems Research and Optimisation Laboratory (ZERO Lab) at Princeton University\, USA. His research interests include graph-based distributed optimisation\, flexibility aggregation\, and GPU acceleration for large-scale optimisation. \nOrganiser\nProfessor Tao LIU\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nAll are welcome!
URL:https://ece.hku.hk/events/20260129-1/
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260130T153000
DTEND;TZID=Asia/Hong_Kong:20260130T163000
DTSTAMP:20260510T031606
CREATED:20260121T015143Z
LAST-MODIFIED:20260121T015143Z
UID:114655-1769787000-1769790600@ece.hku.hk
SUMMARY:Seminar on AI Methods for Learning Quantum Systems
DESCRIPTION:Abstract\nAs quantum technologies redefine the landscape of modern electronics and communication networks\, the efficient characterisation and monitoring of complex quantum systems have become essential. In this talk\, I will present AI-driven methods to address the challenges in quantum state learning and property characterisation. First\, I will introduce the Generative Query Network for Quantum (GQNQ)\, which constructs succinct\, data-driven representations from measurement data to accurately predict unseen quantum statistics across diverse quantum systems. I will then discuss a multi-task neural network framework that extracts intricate global properties solely from short-range measurement statistics. Crucially\, our findings demonstrate powerful transfer-learning capabilities\, allowing models trained on small-scale\, classically tractable systems to generalise to much larger quantum systems. These approaches provide a scalable and universal toolkit for optimising next-generation quantum-enhanced electronic and networking systems. \nSpeaker\nDr. Amy Yuexuan WANG \nSpeaker’s Biography\nDr. Amy Yuexuan WANG obtained her Ph.D. from Zhejiang University in 2003. She currently holds a dual appointment as a Senior Research Fellow in the Department of Electrical and Electronic Engineering at The University of Hong Kong (HKU)\, with research expertise in Robotics and Artificial Intelligence\, Wireless Communications and Networking\, Distributed Intelligent Systems and AI for science. \nHer distinguished career includes over 20 years of academic leadership\, with previous roles as a professor at Tsinghua University and as the Associate Director of the AI Lab at HKU. Prof. Wang has an exceptional record in competitive research funding\, having successfully secured and directed numerous major national grants. She has served as the principal investigator for multiple National Key R&D Programs of China and National Natural Science Foundation of China (NSFC) projects\, with a cumulative funding record exceeding RMB 80 million. Her recent applied research focuses on blockchain ecosystem security and privacy-preserving computation\, with technologies deployed in major financial and industrial platforms. \nDr. Wang maintains extensive industry collaborations and holds several patents in areas such as collaborative AI models and 3D printing. Her entrepreneurial work includes co-founding a startup that secured significant contracts for domestically developed AI-CAD software. A recipient of the 2014 National Teaching Achievements Award\, she played a key role in designing Tsinghua University’s pioneering “Yao Class”.  Dr. Wang’s deep technical expertise\, proven leadership in large-scale funded projects\, and strong translational experience will be vital for guiding the project’s technical development and ensuring its practical and commercial impact.
URL:https://ece.hku.hk/events/20260130-1/
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:20260206T150000
DTEND;TZID=Asia/Hong_Kong:20260206T180000
DTSTAMP:20260510T031606
CREATED:20260128T021118Z
LAST-MODIFIED:20260128T021118Z
UID:114696-1770390000-1770400800@ece.hku.hk
SUMMARY:Symposium on AI for Social Good: Understanding Energy and Neuro Complex Systems through AI
DESCRIPTION:All EEE MSc students are welcome!
URL:https://ece.hku.hk/events/20260206-1/
LOCATION:Room 601\, 6/F\, MSc Student Commons\, Pacific Plaza\, 410 Des Voeux Road West
CATEGORIES:Highlights,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2026/01/345435.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260210T163000
DTEND;TZID=Asia/Hong_Kong:20260210T180000
DTSTAMP:20260510T031606
CREATED:20260205T035011Z
LAST-MODIFIED:20260205T042115Z
UID:114810-1770741000-1770746400@ece.hku.hk
SUMMARY:Seminar on Exploring the 6G Frontier: Prototyping Key Technologies at Yonsei
DESCRIPTION:Abstract\nThis talk will begin with a brief introduction to Yonsei University and then present an overview of its recent research efforts in 6G and cloud-based wireless prototyping. Since 2011\, the Yonsei team has pioneered a range of hardware-oriented research topics\, including full-duplex radios\, millimeter-wave lens MIMO\, wireless VR and haptic communications\, reconfigurable intelligent surfaces (RIS)\, magnetic MIMO\, and semantic communications. Building on these foundational works\, recent projects have expanded toward vRAN/ORAN architectures\, 6G/Cloud convergence\, and AI-empowered extremely large MIMO (AI-E-MIMO). The talk will conclude with a discussion of ongoing efforts and potential collaboration models for future 6G system development. \nSpeaker\nProf. Chan-Byoung CHAE\nPh.D.\, IEEE Fellow\, NAI Fellow\nUnderwood Distinguished Professor & Lee Youn Jae Fellow\,\nYonsei University\nMember of National Academy of Engineering of Korea\nFormer Editor-in-Chief\, IEEE Trans. MBMC\nIEEE Distinguished Lecturer \nSpeaker’s Biography\nChan-Byoung CHAE is an Underwood Distinguished Professor and the Lee Youn Jae Endowed Chair Professor at Yonsei University\, Seoul South Korea. Before joining Yonsei\, 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 Postdoctoral Fellow and Lecturer. He received his Ph.D. degree in electrical and computer engineering from The University of Texas at Austin (UT)\, USA in 2008. Prior to joining UT\, he was a Research Engineer at the Telecommunications R&D Center\, Samsung Electronics\, Suwon\, South Korea\, from 2001 to 2005. \nProf. Chae was a recipient/co-recipient of the IEEE ComSoc Education Award in 2026\, the Ministry of Science and ICT Award in 2024\, the Ministry of Education Award in 2024\, the KICS Haedong Scholar Award in 2023\, the CES Innovation Award in 2023\, the IEEE ICC Best Demo Award in 2022\, the IEEE WCNC Best Demo Award in 2020\, the Best Young Engineer Award from the National Academy of Engineering of Korea (NAEK) in 2019\, the IEEE DySPAN Best Demo Award in 2018\, the IEEE/KICS Journal of Communications and Networks Best Paper Award in 2018\, the IEEE INFOCOM Best Demo Award in 2015\, the IEIE/IEEE Joint Award for Young IT Engineer of the Year in 2014\, the KICS Haedong Young Scholar Award in 2013\, the IEEE Signal Processing Magazine Best Paper Award in 2013\, the IEEE ComSoc AP Outstanding Young Researcher Award in 2012\, and the IEEE VTS Dan. E. Noble Fellowship Award in 2008. \nProf. Chae has held several editorial positions\, including Editor-in-Chief of the IEEE Trans. on MBMC\, Senior Editor of the IEEE WCL\, and Editor of the IEEE CommMag\, and IEEE TWC. 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 and Fellow of the National Academy of Inventors (US). \nOrganiser\nProf. Kaibin HUANG\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nAll are welcome!
URL:https://ece.hku.hk/events/20260210-1/
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/2026/02/banner1280.jpg
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