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DTSTART;TZID=Asia/Hong_Kong:20250905T093000
DTEND;TZID=Asia/Hong_Kong:20250905T103000
DTSTAMP:20260510T010538
CREATED:20250902T061920Z
LAST-MODIFIED:20250902T091613Z
UID:113160-1757064600-1757068200@ece.hku.hk
SUMMARY:Seminar on Illuminating Life Sciences: Optical Engineering Technologies for Neuroscience and Biology
DESCRIPTION:Abstract\nIn this talk\, the speaker will introduce how optical technology can contribute to biological studies. Light has long been one of the most powerful tools for investigating living systems. Optical imaging techniques allow direct observation of dynamic cellular processes in vivo\, while optogenetics enables the precise modulation of neuronal circuits with high spatiotemporal resolution. \nIn Part One\, the speaker will present how digital micromirror device (DMD) equipped beam projection technology\, commonly used in movie theatres\, can be adapted for functional mapping of the mouse brain. In Part Two\, the speaker will describe how liquid crystal display (LCD) technology enables ultrafast optical recording of neuronal circuit activity. Finally\, in Part Three\, the speaker will outline my current and future research directions in immunophotonics\, driven by large-scale optical imaging\, deep learning–assisted automated cell tracking\, and skull transparency techniques for real-time visualisation of brain–immune system interactions. \nSpeaker\nDr. Seonghoon KIM\nSenior Research Scientist\,\nDepartment of Automation\,\nTsinghua University \nSpeaker’s Biography\nSeonghoon KIM is a Senior Research Scientist in the Department of Automation at Tsinghua University. He received his Ph.D. from the Korea Advanced Institute of Science and Technology (KAIST) in South Korea and subsequently completed postdoctoral training at Harvard Medical School\, Seoul National University\, and Tsinghua University. His research background is exceptionally broad\, spanning materials science\, optics\, neuroscience\, computational science\, and immunology. For example\, he has studied the oxidation of nanocrystal metal films\, developed implantable biomaterials\, developed photodynamic therapy for cancer treatment\, applied optogenetics with fMRI for functional mapping of the mouse brain\, and developed an ultrafast optical imaging system for neuronal voltage imaging. Recently\, he has published several papers in leading journals\, including Neuron\, Nature Communications\, Advanced Materials\, and Nature Methods. His current research focuses on investigating in vivo biological dynamics—particularly in neuroscience and immunology— through large-scale optical imaging systems integrated with computational imaging techniques.\n\nAll are welcome!
URL:https://ece.hku.hk/events/20250905-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Highlights,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250910T141500
DTEND;TZID=Asia/Hong_Kong:20250910T163000
DTSTAMP:20260510T010538
CREATED:20250806T033603Z
LAST-MODIFIED:20250827T025141Z
UID:112877-1757513700-1757521800@ece.hku.hk
SUMMARY:William Mong Distinguished Lecture cum Workshop – Unlocking MIMO in 6G: The Evolution of MIMO in Cellular Systems
DESCRIPTION:All members of the HKU community and the general public are welcome to join. Seats for on-site participants are limited. Interested parties please register through the link below by September 9\, 2025 18:00pm:https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=102594  \nA confirmation email will be sent to participants who have successfully registered. \nAbstract\nWireless networks have fundamentally transformed our daily lives. Behind this revolution\, Multiple-Input Multiple-Output (MIMO) communication standing out as one of the most influential innovations. By spatially multiplexing data streams across different antennas\, MIMO enables high-rate access. In this talk\, Professor Heath will introduce the fundamentals of MIMO communication and explore its applications within cellular systems. The lecture will begin with an overview of single-user and multi-user MIMO\, highlighting their pivotal role in 4G networks. It will then discuss the adaptation of MIMO techniques to 5G millimeter-wave systems. Finally\, the talk will explore a forward-looking concept: the tri-hybrid MIMO architecture\, which integrates reconfigurable antennas into digital/analog hybrid MIMO framework to support very large-scale antenna arrays. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Keynote Speaker:\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Professor Robert Wendell Heath Jr.University of California San Diego \n			\n				\n				\n				\n				\n				Biography\nProfessor Robert W. Heath Jr. is the Charles Lee Powell Chair in Wireless Communication in the Department of ECE at the University of California San Diego.  He is the recipient or co-recipient of several awards including the 2019 IEEE Kiyo Tomiyasu Award\, the 2020 North Carolina State University Innovator of the Year Award\, the 2021 IEEE Vehicular Technology Society James Evans Avant Garde Award\, and the 2025 IEEE/RSE James Clerk Maxwell Medal. He authored “Introduction to Wireless Digital Communication” (Prentice Hall in 2017) and “Digital Wireless Communication: Physical Layer Exploration Lab Using the NI USRP” (National Technology and Science Press in 2012). He co-authored “Millimeter Wave Wireless Communications” (Prentice Hall in 2014) and “Foundations of MIMO Communications” (Cambridge 2019). He is a licensed Amateur Radio Operator\, a registered Professional Engineer in Texas\, a Private Pilot\, a Fellow of the National Academy of Inventors\, a Fellow of the IEEE\, and a Fellow of the AAAS. He is an elected member of the United States National Academy of Engineering\, 2025 class. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Panellists:\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Professor Nuria González PrelcicUniversity of California San Diego \n			\n				\n				\n				\n				\n				Biography\nProfessor Nuria González Prelcic received her Ph.D. with Honors in 2000 from the University of Vigo\, Spain. She is a Professor at the ECE Department of the University of California San Diego since January 2024. Her main research interests include signal processing and machine learning for wireless communications. She has published more than 150 papers in these areas\, including a highly cited tutorial on signal processing for mmWave MIMO published in the IEEE Journal of Selected Topics in Signal Processing which has received the 2020 IEEE SPS Donald G. Fink Overview Paper Award\, and a paper pioneering the idea of enabling automotive radar with a WiFi waveform that won the 2022 IEEE Vehicular Technology Society Best Vehicular Electronics Paper Award. She has been an Editor for IEEE Transactions on Wireless Communications and IEEE Transactions Communications. She is a member of the IEEE Signal Processing Society TWG on Integrated Sensing and Communication\, SPCOM Technical Committee and IEEE SPS Education Board. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Dr Peiying ZhuHuawei \n			\n				\n				\n				\n				\n				Biography\nDr Peiying Zhu\, Senior Vice President of Wireless Research\, is a Huawei Fellow\, IEEE Fellow and Fellow of Canadian Academy of Engineering. She is currently leading 6G wireless research and standardization in Huawei. The focus of her research is advanced radio access technologies. She is actively involved in 3GPP and IEEE 802 standards development. She has been regularly giving talks and panel discussions on 5G/6G vision and enabling technologies. She led the team to contribute significantly to 5G technologies and standardization. Many technologies developed by the team have been adopted into 5G standards and implemented in 5G products. She served as the guest editor for IEEE Signal processing magazine special issue on the 5G revolution and IEEE JSAC on Deployment Issues and Performance Challenges for 5G. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Professor Zhisheng NiuTsinghua University \n			\n				\n				\n				\n				\n				Biography\nProfessor Zhisheng Niu graduated from Beijing Jiaotong University\, China\, in 1985\, and got his M.E. and D.E. degrees from Toyohashi University of Technology\, Japan\, in 1989 and 1992\, respectively.  During 1992-1994\, he worked for Fujitsu Laboratories Ltd.\, Japan\, and in 1994 joined with Tsinghua University\, Beijing\, China\, where he is now a professor at the Department of Electronic Engineering. During 1997-1998\, he visited Hitachi Central Research Laboratory as a HIVIPS senior researcher.  His major research interests include queueing theory and traffic engineering\, wireless communications and mobile Internet\, vehicular communications and smart networking\, and green communication and networks. Professor Niu has been serving IEEE Communications Society since 2000\, first as Chair of Beijing Chapter and then as Director of Asia-Pacific Board\, Director for Conference Publications\, Chair of Emerging Technologies Committee\, Director for Online Contents\, Editor-in-Chief of IEEE Trans. Green Commun. & Networks\, and currently Chair of Emerging Technologies Committee.  He received the Distinguished Technical Achievement Recognition Award from IEEE Communications Society Green Communications and Computing Technical Committee in 2018.  He was selected as a distinguished lecturer of IEEE Communication Society as well as IEEE Vehicular Technologies Society.  He is a fellow of both IEEE and IEICE. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Professor Chan Byoung ChaeYonsei University \n			\n				\n				\n				\n				\n				Biography\nProfessor Chan Byoung Chae received the Ph.D. degree in electrical and computer engineering from The University of Texas at Austin (UT) in 2008. Prior to joining UT\, he was a Research Engineer at the Telecommunications Research and Development Center\, Samsung Electronics\, Suwon\, South Korea\, from 2001 to 2005. He is currently an Underwood Distinguished Professor and Lee Youn Jae Fellow (Endowed Chair Professor) with the School of Integrated Technology\, Yonsei University\, South Korea. Before joining Yonsei University\, he was with Bell Labs\, Alcatel-Lucent\, Murray Hill\, NJ\, USA\, from 2009 to 2011\, as a Member of Technical Staff\, and Harvard University\, Cambridge\, MA\, USA\, from 2008 to 2009\, as a Post-Doctoral Research Fellow. He was the Editor-in-Chief of IEEE Trans. Molecular\, Biological\, and Multi-scale Communications. He was an IEEE ComSoc Distinguished Lecturer from 2020 to 2023 and is an IEEE VTS Distinguished Lecturer from 2024 to 2025. He is an elected member of the National Academy of Engineering of Korea.
URL:https://ece.hku.hk/events/20250910-1/
LOCATION:Rayson Huang Lecture Theatre\, The University of Hong Kong (HKU)
CATEGORIES:Highlights,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250911T113000
DTEND;TZID=Asia/Hong_Kong:20250911T123000
DTSTAMP:20260510T010538
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:20260510T010538
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:20260510T010538
CREATED:20250829T071751Z
LAST-MODIFIED:20250909T083854Z
UID:113148-1758029400-1758036600@ece.hku.hk
SUMMARY:HKU Centennial Distinguished Chinese Scholars Scheme – Scientific Lecture:  Theoretical Foundations and Practical Implementation of Semantic Communications (语义通信的理论基础和试验验证)
DESCRIPTION:Registration Link: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=102674 \nKindly note that the lecture will be conducted in Putonghu. \nSpeaker\nProf. Ping ZHANG\, Beijing University of Posts and Telecommunications \nAbstract\nThe deep integration of communication and intelligence is driving a fundamental transformation in next-generation wireless systems. Traditional networks face significant challenges in scalability\, adaptability\, and flexibility\, falling to meet the demands for ubiquitous intelligence and sustainable development. To address these limitations\, semantic wireless networks with their inherent characteristics of intelligence-endogenous and primitive-concise\, have been proposed as a transformative paradigm. Built on native cognition and learning capabilities\, semantic wireless networks evolve communication systems from passive data pipelines into proactive intelligent agents\, enabling widespread digital transformation across industries. This talk will focus on the core principles and practices of semantic wireless networks\, including semantic information theory\, semantic communication\, semantic network architecture\, and field test networks for 6G. Promising application scenarios and future directions will also be discussed. \nSpeaker’s Biography\nPing ZHANG\, Academician of the Chinese Academy of Engineering\, IEEE Fellow\, Professor in the Beijing University of Posts and Telecommunications\, Ph.D. Supervisor\, Director of the State Key Laboratory of Networking and Switching Technology. He is the Editor-in-Chief of the Journal on Communications. He is a member of IMT-2020 (5G) Experts Panel\, a member of the Experts Panel for China’s 6G development\, and has received many awards and honours\, including the Grand Prize for the National Science and Technology Progress Award. He is one of the most well-known key contributors to the development of China-pioneered mobile communication technologies\, which have been widely adopted on a global scale. His research interests include next-generation mobile networks\, semantic communications\, and intellicise communication systems. \nSupported By\n \nAll are welcome! We are looking forward to seeing you in the lecture! \nRegistration Link: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=102674\n**********************(Chinese version)****************************\n \n講者：张平教授，北京邮电大学 \n摘要：\n通信与智能的深度融合正在推动下一代无线系统的根本性变革。传统网络在可扩展性、适应性和灵活性方面面临重大挑战，无法满足无处不在的智能和可持续发展的需求。为了解决这些局限性，语义无线网络具有智能内生性和原生智能的固有特征，被作为一种新的变革范式。语义无线网络基于原生认知和学习能力，将通信系统从被动数据管道发展为主动智能代理，实现跨行业的广泛数字化转型。本次演讲将重点讨论语义无线网络的核心原理和实践，包括语义信息理论、语义通信、语义网络架构和 6G 现场测试网络。还将讨论有前景的应用场景和未来方向。 \n講者簡介：\n张平，国务院参事，中国工程院院士，北京邮电大学教授、博士生导师、网络与交换技术国家重点实验室主任，《通信学报》主编，IEEE Fellow等。长期致力于移动通信理论研究和技术创新，担任IMT- 2020（5G）专家组成员、IMT-2030（6G）推进组咨询委员会委员，先后获国家科学技术进步奖特等奖等多项奖励，为我国自主技术成为国际主流做出了基础性的贡献。目前研究兴趣聚焦在语义通信和语用达意网络。 \n歡迎大家踴躍參加！我們期待你來參加這次的演講！ \n按此立即登記！
URL:https://ece.hku.hk/events/20250916-2/
LOCATION:Tam Wing Fan Innovation Wing Two\, G/F\, Run Run Shaw Building\, The University of Hong Kong
CATEGORIES:Highlights,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2025/08/20250916-1-Scientific-1280.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250918T110000
DTEND;TZID=Asia/Hong_Kong:20250918T120000
DTSTAMP:20260510T010538
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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DTSTART;TZID=Asia/Hong_Kong:20250930T103000
DTEND;TZID=Asia/Hong_Kong:20250930T113000
DTSTAMP:20260510T010538
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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