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X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
X-ORIGINAL-URL:https://ece.hku.hk
X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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BEGIN:VTIMEZONE
TZID:Asia/Hong_Kong
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240304T150000
DTEND;TZID=Asia/Hong_Kong:20240304T165000
DTSTAMP:20260513T040004
CREATED:20240222T062850Z
LAST-MODIFIED:20250114T072855Z
UID:17945-1709564400-1709571000@ece.hku.hk
SUMMARY:Running a net-zero grid in 2024: experiences from the Australian "real-world lab"
DESCRIPTION:With deeper and deeper penetration of variable renewable energy sources (RES) and distributed energy resources (DER) across the world\, new challenges are emerging in terms of their grid and market integration. In this lecture we will illustrate these challenges from a techno-economic perspective\, with focus on security and reliability requirements when operating power systems and markets with ultra-deep penetration of RES and DER\, and with the support of real experiences from Australia\, and particularly South Australia\, which has already exhibited net-zero grid operation in the past couple of years. We will then discuss several technical\, commercial and regulatory solutions and opportunities that are being deployed or considered\, ranging from widespread adoption of both highly distributed and large-scale batteries to the development of “clean super-power” plans based on green hydrogen investment. \nBiography of the speaker: \n\nPierluigi Mancarella is the Chair Professor of Electrical Power Systems at The University of Melbourne\, Australia\, and Professor of Smart Energy Systems at The University of Manchester\, UK. \nHe received his MSc (2002) and PhD (2006) degrees from the Politecnico di Torino\, Italy\, worked as a post-doc at Imperial College London\, UK\, has held visiting positions in the US (NREL)\, France (Ecole Centrale de Lille)\, Chile (University of Chile)\, and China (Tsinghua University)\, and will be the 2024 Otto Monsted Visiting Professor at the Danish Technical University (DTU)\, Denmark. \nPierluigi’s research interests include techno-economic modelling of low-carbon grids\, multi-energy systems\, energy system planning under uncertainty\, and reliability and resilience of future networks. He has been involved in/led more than 100 research projects worldwide\, has been actively engaged with energy policy in the UK\, Europe and Australia\, and is author of several books and of over 400 research publications and reports. \nPierluigi is a Fellow of the IEEE; an IEEE Power and Energy Society Distinguished Lecturer; a Senior Editor of the IEEE Transactions on Power Systems; an Editor of the IEEE Transactions on Energy Markets\, Policy and Regulation; the Convenor of the Cigre C6/C2.34 WG on “Flexibility provision from distributed energy resources”; and the inaugural Chair of the WG on Energy of the IEEE European Public Policy Initiative. \nPierluigi was awarded the 2017 veski Innovation Fellowship by the Victorian Government for his “FlexCity” project on multi-energy urban virtual power plants\, and an international Newton Prize 2018 for his UK-Chile Newton-Picarte project on power system resilience. He also led the Melbourne Energy Institute’s work “Power system security assessment of the future National Electricity Market” for the Australian Chief Scientist’s “Finkel Review”. He has recently been working closely with the Australian Energy Market Operator (AEMO)\, the Australian Energy Market Commission (AEMC)\, National Grid ESO (UK)\, and a number of other industry stakeholders in the development of distributed energy marketplaces\, new power system security\, reliability and resilience services and markets\, and new methodologies and tools for energy system planning under uncertainty. \nPierluigi is the Australian Director of the recently announced USA-UK-Australia Global Centre in Climate Change and Clean Energy “Electric Power Innovation for a Carbon-Free Society (EPICS)”\, co-led with Johns Hopkins University (USA) and Imperial College London (UK). \n\n\nAll are welcome.
URL:https://ece.hku.hk/events/running-a-net-zero-grid-in-2024-experiences-from-the-australian-real-world-lab/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240304T160000
DTEND;TZID=Asia/Hong_Kong:20240304T170000
DTSTAMP:20260513T040004
CREATED:20240228T081116Z
LAST-MODIFIED:20250114T072753Z
UID:17953-1709568000-1709571600@ece.hku.hk
SUMMARY:Towards Generalizable and Robust Multimodal AI for Healthcare
DESCRIPTION:Artificial Intelligence (AI) is catalyzing a paradigm shift in healthcare\, promising to reshape the landscape of patient care. At the heart of this transformation is medical imaging\, where AI-enabled technologies hold substantial promise for precise and personalized image-based diagnosis and treatment. Despite these advances\, these models often underperform at real-world deployment\, particularly due to the heterogeneous data distributions and varying modalities in healthcare applications. In this talk\, I will introduce our work dedicated to tackling these real-world challenges to advance model generalizability and multimodal robustness. First\, I will show how we can leverage generative networks and model adaptation to generalize models under data distribution shifts. Next\, I will describe how to achieve robust multimodal learning with missing modalities and with imaging and non-imaging clinical information. Finally\, I will present our work that extends to large-scale datasets and more diverse modalities based on foundation model for generalizable multimodal representation learning. \nBiography of the speaker: \nDr. Cheng CHEN is a postdoc research fellow at the Center for Advanced Medical Computing and Analysis\, Harvard Medical School. She obtained her Ph.D. degree in Computer Science and Engineering at The Chinese University of Hong Kong in 2021. She received her M.S. and B.S. degrees from Johns Hopkins University and Zhejiang University\, respectively. Her research interests lie in the interdisciplinary area of AI and healthcare\, with a focus on generalizable\, robust\, and multimodal medical image analysis. She has over 25 papers published at top AI and medical imaging venues\, reaching over 2300 Google Scholar citations with an h-index of 16. Her first-authored papers have been recognized as an ESI “Highly cited paper”\, selected as oral presentations\, and received travel awards from AAAI and MICCAI. In addition\, she has been named one of the Global Top 80 Chinese Young Female Scholars in AI and won the MICCAI Federated Brain Tumor Segmentation Challenge. \nAll are welcome.
URL:https://ece.hku.hk/events/20240304-1/
LOCATION:Room CB-601J\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240308T110000
DTEND;TZID=Asia/Hong_Kong:20240308T123000
DTSTAMP:20260513T040004
CREATED:20240301T023428Z
LAST-MODIFIED:20250114T072651Z
UID:17962-1709895600-1709901000@ece.hku.hk
SUMMARY:Exploring Trustworthy Machine Learning under Imperfect Data
DESCRIPTION:Trustworthy machine learning is one of emerging and critical topics in modern machine learning\, since most real-world data are easily imperfect\, such as online transactions\, healthcare\, cyber-security\, and robotics. Intuitively\, trustworthy intelligent system should behave more human-like\, which can learn and reason from imperfect data including labels\, features\, systems and prompts. Therefore\, in this talk\, I will introduce trustworthy machine learning from several human-inspired views\, including reliability\, robustness\, adaptability and safety. Specifically\, reliability will consider uncertain cases\, namely reliable learning with noisy labels. Robustness will discuss adversarial conditions\, namely robust learning with adversarial features. Adaptability will explore the algorithm interactions\, namely adaptive learning with federated systems. Safety will investigate harmful prompts in foundation models\, namely safe reasoning with jailbreak attacks. Furthermore\, I will introduce the newly established Trustworthy Machine Learning and Reasoning (TMLR) Group at Hong Kong Baptist University. \nBiography of the speaker: \nDr. Bo HAN is an Assistant Professor in Machine Learning at Hong Kong Baptist University and a BAIHO Visiting Scientist at RIKEN AIP\, where his research focuses on machine learning\, deep learning\, foundation models and their applications. He was a Visiting Faculty Researcher at Microsoft Research and a Postdoc Fellow at RIKEN AIP. He has co-authored two machine learning monographs by MIT Press and Springer Nature. He has served as Area Chairs of NeurIPS\, ICML\, ICLR\, UAI and AISTATS. He has also served as Action Editors and Editorial Board Members of JMLR\, MLJ\, TMLR\, JAIR and IEEE TNNLS. He received Outstanding Paper Award at NeurIPS\, Notable Area Chair at NeurIPS\, Outstanding Area Chair at ICLR\, and Outstanding Associate Editor at IEEE TNNLS. \nAll are welcome!
URL:https://ece.hku.hk/events/exploring-trustworthy-machine-learning-under-imperfect-data/
LOCATION:Room CB-601J\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240313T093000
DTEND;TZID=Asia/Hong_Kong:20240313T103000
DTSTAMP:20260513T040004
CREATED:20240307T030817Z
LAST-MODIFIED:20250114T072600Z
UID:17987-1710322200-1710325800@ece.hku.hk
SUMMARY:Design and Modulation of Multifunctional Artificial Synaptic Devices
DESCRIPTION:In recent years\, synaptic electronic devices have gained significant attention for their applications in neural morphological computing and peripheral neural sensing simulations. It is of great significance to further enhance the functionality of these devices to replicate more complex neural transmission processes. The presenter will provide a brief overview of recent advancements in this field and discuss his work in the design and modulation of artificial synapse devices through reasonable integrating of optoelectronic materials\, interface engineering\, and heterojunction adjusting. Furthermore\, he will delve into the functional design of artificial synaptic devices across diverse application scenarios\, and share his perspective on next work plan for advancing synaptic devices. \n  \nBiography of the speaker: \nDr. Yao NI was born in 1994 and obtained his Ph.D. from Nankai University in 2023. He currently serves as a Lecturer at Guangdong University of Technology. His research primarily focuses on neuromorphic electronic devices and systems. As the first (co-first) author and corresponding author\, Dr. NI has published more than 20 SCI papers in internationally renowned scientific and technological journals\, including Nat. Commun.\, ACS Nano\, Adv. Sci.\, SmartMat\, Adv. Funct. Mater.\, Nano Energy\, Nano Letters\, etc. His collaborative papers have been cited more than 800 times\, and several of his works have received active media coverage. Additionally\, Dr. NI has authored 2 chapters in English monographs and filed more than 10 invention patents. He serves as an editor and reviewer for multiple domestic and international journals (conferences) and has been invited to participate in academic conferences multiple times\, receiving honors such as the Excellent Academic Report Award and Excellent Poster Award. He is a member of professional societies such as the Institute of Electrical and Electronics Engineers (IEEE)\, Chinese Association of Automation (CAA)\, China Institute of Communications (CIC)\, and Chinese Chemical Society (CCS). \nAll are welcome!
URL:https://ece.hku.hk/events/20240313-1/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/02/Seminar-s-banner.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240314T160000
DTEND;TZID=Asia/Hong_Kong:20240314T180000
DTSTAMP:20260513T040004
CREATED:20240221T062420Z
LAST-MODIFIED:20250114T072504Z
UID:17944-1710432000-1710439200@ece.hku.hk
SUMMARY:Image quality transfer and democratization of MRI
DESCRIPTION:My talk will focus on Image Quality Transfer (Alexander et al Neuroimage 2017; Tanno et al Neuroimage 2021; Lin et al ISMRM 2021)\, and its role in international efforts to democratize MRI expertise and capability\, such as the CAMERA network https://www.medrxiv.org/content/10.1101/2022.05.02.22274588\nv1.full. The technique aims to use machine learning to estimate high quality images\, e.g. from a powerful experimental scanner\, from lower quality images\, e.g. acquired on a standard hospital scanner or low-field systems. I will talk through the history of development of these ideas\, show some of the latest results\, speculate about future opportunities\, and describe some challenges and observations of implementing these ideas in LMIC scenarios. I will also cover briefly some other aspects of my work at UCL on microstructure imaging\, e.g. NODDI (Zhang et al Neuroimage 2012) for neuroimaging and VERDICT (Panagiotaki et al Cancer Research 2013) for cancer imaging\, as well as disease progression modelling using techniques such as the subtype and stage algorithm (Young et al Nature Comms 2018) for mapping subtypes of chronic disease such as Alzheimer’s disease. \nBiography of the speaker: \nProfessor Alexander is the Director of the UCL Centre for Medical Image Computing (CMIC) at University College London (UCL) and Professor of Imaging Science in UCL’s Department of Computer Science.  His expertise is in computational modelling\, machine learning\, imaging and image analysis. He has a BA in Mathematics from the University of Oxford (1993)\, an MSc in Computer Science from UCL (1994)\, and a PhD in Computer Science from UCL (1998). He worked as a post-doc at the University of Pennsylvania until 2000 when he returned to London to take up an academic position. He became full professor in 2009\, Director of CMIC in 2015\, senior fellow of the ISMRM in 2017\, and fellow of the Royal Academy of Engineering in 2022 and IEEE in 2023.\n\nAll are welcome.
URL:https://ece.hku.hk/events/image-quality-transfer-and-democratization-of-mri/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240315T173000
DTEND;TZID=Asia/Hong_Kong:20240315T183000
DTSTAMP:20260513T040004
CREATED:20240304T065035Z
LAST-MODIFIED:20250220T074356Z
UID:17970-1710523800-1710527400@ece.hku.hk
SUMMARY:Career Talk - CHOICES IN FUTURE CAREER: Entrepreneurship\, Research\, or Banking?
DESCRIPTION:Have you ever considered exploring alternative paths for your future career choices? This presents a unique opportunity to gain more insight in that regard. \nThe Department has extended an invitation to an entrepreneur and researcher\, Dr. David Ng\, and a board member of banks\, Dr. David Wong who will share their valuable experience with you. By attending\, you will have the chance to broaden your perspective on career options. \nBiography of the speakers: \nDr. David Ng\, our Adjunct Assistant Professor\, holds a Ph.D. in Electrical Engineering from HKU EEE\, where he developed his engineering skills. He is an active member of both HKIE and IEEE\, and his contributions in the field have led to the acquisition of over 20 patents from the United States and China throughout his career. Prior to his Ph.D.\, Dr. Ng obtained a bachelor’s degree in electronic engineering from HKUST. He further enhanced his knowledge by pursuing an MSc degree in Electronic & Information Engineering and an Executive MBA (EMBA) degree from CityU. Dr. Ng gained valuable industry experience during his time at Motorola Semiconductor\, Arizona\, USA. \nWith more than 20 years of impressive work experience in the high-tech industry as an entrepreneur and architectural IC design researcher\, Dr. Ng has founded technology companies focused on Integrated Circuit (IC) design. These ventures received funding from multinational companies and Venture Capitals after his tenure at ASTRI (Hong Kong Government Agency)\, ON Semiconductor (a NASDAQ-listed semiconductor company)\, and Motorola (an NYSE-listed Telecommunications Company). Dr. Ng has a proven track record of successfully raising millions of US dollars from the HK Government and various industries to support next-generation IC design technologies. During his time at ASTRI\, he played a crucial role in assisting a client in getting listed on the Hong Kong GEM Board by licensing his team’s intellectual property for production. \nDr. David Wong\, See Hong has served as a Non-Executive and Non-Independent Director since June 10\, 2023\, after nine years as a Non-Executive and Independent Director. With over 30 years of experience in the banking sector\, he possesses extensive knowledge in treasury and financial products. \nFrom 2008 to 2013\, Dr. Wong held the position of Deputy Chief Executive at Bank of China (Hong Kong) Group\, overseeing various financial market businesses like Global Markets\, Global Transaction Banking\, Investment Management\, Insurance\, Asset Management\, and other capital market-related activities. Dr. Wong has held board positions at the Energy Market Authority and the Civil Service College in Singapore and served as a Customer Advisory Board Member of Thomson Reuters. \nCurrently\, Dr. Wong is a board member at Frasers Property Limited\, China Merchants Bank Co.\, Ltd\, and EC World Asset Management Pte Ltd. He serves as Chairman of Halftime Hong Kong Limited and is a Finance Management Committee member of the Hong Kong Management Association. \nDr. Wong holds a Bachelor’s Degree in Business Administration from the University of Singapore and a Master of Science degree in Investment Management from the Hong Kong University of Science and Technology. He has been recognized as a Financial Industry Certified Professional by the Institute of Banking and Finance\, Singapore. \nAll are welcome! \nDetails: https://ece.hku.hk/elink/career.html
URL:https://ece.hku.hk/events/career-talk-choices-in-future-career-entrepreneurship-research-or-banking/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Career Talks,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240318T000000
DTEND;TZID=Asia/Hong_Kong:20240318T000000
DTSTAMP:20260513T040004
CREATED:20240306T015653Z
LAST-MODIFIED:20250114T070444Z
UID:17977-1710720000-1710720000@ece.hku.hk
SUMMARY:Capturing Life: Optical Microscopy for in vivo Deep Tissue Imaging at High Spatiotemporal Resolution
DESCRIPTION:Optical microscopy has become an indispensable tool for non-invasive\, high-resolution in vivo imaging of living organisms. Its capability to provide insights into real-time physiological and pathological processes within the body underscores its significance in bioscience and medicine. However\, conventional optical microscopy methods have certain limitations. For instance\, multiphoton fluorescence microscopy\, the method of choice for in vivo imaging through scattering tissue such as the mammalian brains\, delivers excellent resolution but falls short in speed for capturing rapid biological activities\, such as blood flow dynamics. On the other hand\, optical coherence tomography (OCT)\, a label-free deep-tissue imaging method\, stands as a powerful instrument in contemporary optometry clinics\, but its high cost limits its broad use\, especially in lower-income communities. In this presentation\, I will share my research on the development of high-speed multiphoton fluorescence microscopy and cost-effective OCT for brain and eye imaging\, respectively\, through the utilization of both optical engineering and computational methods. \n  \nBiography of the speaker: \nDr. Guanghan MENG\, currently a postdoctoral scholar in the Department of Electrical Engineering and Computer Science at the University of California\, Berkeley\, focuses on advancing high-speed\, high-resolution fluorescence\, and label-free microscopy technologies for deep tissue imaging in vivo. Having earned her PhD from the same university\, her doctoral research spanned the disciplines of Molecular and Cell Biology and Physics\, primarily concentrating on enhancing two-photon fluorescence microscopy for mouse brain imaging. At present\, she is working on computational label-free imaging with a specific interest in the human eye. She has been recognized with various best presentation awards at scientific conferences and is a recipient of the Berkeley Center for Innovation in Vision and Optics (CIVO) postdoctoral fellowship. She is also an invited lecturer at the 17th Edition of the Frontiers in Neurophotonics Summer School in Quebec City\, Canada in 2024. \nAll are welcome!
URL:https://ece.hku.hk/events/20230318-1/
LOCATION:Room CB-601J\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240319T093000
DTEND;TZID=Asia/Hong_Kong:20240319T104500
DTSTAMP:20260513T040004
CREATED:20240228T082539Z
LAST-MODIFIED:20250114T070331Z
UID:17957-1710840600-1710845100@ece.hku.hk
SUMMARY:Simultaneously Transmitting And Reflecting Surface (STARS) for 360° Coverage
DESCRIPTION:In this talk\, the novel concept of simultaneously transmitting and reflecting surfaces (STARS) will be introduced. First\, the STAR basics will be introduced. In particular\, the fundamental signal modelling\, performance limit characterization\, practical operating protocols\, and joint beamforming design will be discussed. Then\, the coupled phase-shift STAR model\, AI-enabled STARS\, and channel estimation methods will be focused. Furthermore\, several promising case studies of employing STARS will be put forward\, including STAR-NOMA\, spatial analysis for STARS\, federated learning with STARS\, and STARS enabled integrated sensing and communications (ISAC). Finally\, research opportunities and problems as well as commercial progress of STARS. \nBiography of the speaker: \nDr. Yuanwei LIU is an Associate Professor at the School of Electronic Engineering and Computer Science\, Queen Mary University of London. His research interests include next-generation multiple access\, integrated sensing and communications reconfigurable intelligent surface\, and near-field communications. He is a Fellow of IEEE\, a Fellow of AAIA\, Web of Science Highly Cited Researcher since 2021 to present. He is listed as one of 35 Innovators Under 35 China in 2022 by MIT Technology Review. He serves as an IEEE Communication Society Distinguished Lecturer\, an IEEE Vehicular Technology Society Distinguished Lecturer\, the Academic Chair for the Next Generation Multiple Access Emerging Technology Initiative\, the rapporteur of ETSI Industry Specification Group on Reconfigurable Intelligent Surfaces\, and the UK representative for the URSI Commission C on Radio Communication Systems and Signal Processing. He received IEEE ComSoc Outstanding Young Researcher Award for EMEA in 2020. He received the 2020 IEEE Signal Processing and Computing for Communications (SPCC) Technical Committee Early Achievement Award\, IEEE Communication Theory Technical Committee (CTTC) 2021 Early Achievement Award. He received IEEE ComSoc Outstanding Nominee for Best Young Professionals Award in 2021. He is the co-recipient of the Best Student Paper Award in IEEE VTC2022-Fall\, the Best Paper Award in ISWCS 2022\, the 2022 IEEE SPCC-TC Best Paper Award and the IEEE ICCT 2023 Best Paper Award. He serves as the Co-Editor-in-Chief of IEEE ComSoc TC Newsletter\, an Area Editor of IEEE Communications Letters\, an Editor of IEEE Communications Surveys & Tutorials\, IEEE Transactions on Wireless Communications\, IEEE Transactions on Vehicular Technology\, and IEEE Transactions on Network Science and Engineering. He serves as the (leading) Guest Editors for Proceedings of the IEEE/IEEE JSAC/JSTSP/Network/TGCN. \nAll are welcome!
URL:https://ece.hku.hk/events/20240319-1/
LOCATION:Room CB-601J\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240323T185000
DTEND;TZID=Asia/Hong_Kong:20240323T203000
DTSTAMP:20260513T040004
CREATED:20240319T010323Z
LAST-MODIFIED:20250114T070152Z
UID:18089-1711219800-1711225800@ece.hku.hk
SUMMARY:HKU-AI WiSe: AI for Social Good - A Fireside Chat on AI for Social Good
DESCRIPTION:May we draw your attention to the following AI for Social Good evening event by HKU-AI WiSe\, Faculty of Engineering\, the University of Hong Kong\, partly funded by RGC-TRS. \nOnline Registration: https://forms.gle/UJZLhk61xLi8mDBq7 \n \nOnline Registration: https://forms.gle/UJZLhk61xLi8mDBq7 \n \nOnline Registration: https://forms.gle/UJZLhk61xLi8mDBq7 \nRSVP! Looking forward to welcoming you at the event on 23 March\, 2024 (Saturday).
URL:https://ece.hku.hk/events/20240323-1/
LOCATION:Lecture Theatre CB-A\, G/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240325T100000
DTEND;TZID=Asia/Hong_Kong:20240325T111500
DTSTAMP:20260513T040004
CREATED:20240318T082330Z
LAST-MODIFIED:20250114T070032Z
UID:18084-1711360800-1711365300@ece.hku.hk
SUMMARY:Enabling Decarbonisation Technologies with Power Electronics
DESCRIPTION:Speaker\nProf. Josep POU\nSchool of Electrical & Electronic Engineering\,\nNanyang Technological University (NTU)\, Singapore \nAbstract\nThis presentation will introduce some of the research developed in the Power Electronics and Applications Research Lab at NTU (PEARL@NTU). The target is to facilitate large-scale integration of renewables into the grid. This includes the design of control strategies to make solar inverters more friendly with the grid by alleviating intermittency and providing power reserve\, a multilevel-converter-based battery energy storage system that enables the use of second-life batteries for grid applications\, and a reactive power static compensator (STATCOM) that can operate with very small capacitances. The talk will also introduce the Rolls-Royce @ NTU Corporate Lab\, where future aerospace transportation technologies are designed. \nBiography of the Speaker\nProf. Josep POU received the B.S.\, M.S.\, and Ph.D. degrees in electrical engineering from the Technical University of Catalonia (UPC)-Barcelona Tech\, Spain. In 1990\, he joined the faculty of UPC as an Assistant Professor\, where he became an Associate Professor in 1993. From February 2013 to August 2016\, he was a Professor at the University of New South Wales (UNSW)\, Australia. He is currently a Professor at the Nanyang Technological University (NTU)\, Singapore\, where he is a Cluster Director of Power Electronics at the Energy Research Institute at NTU (ERI@N) and co-Director of the Rolls-Royce @ NTU Corporate Lab. He spent two years as a visiting professor in the Center for Power Electronics Systems\, Virginia Tech\, USA\, and one year in the Australian Energy Research Institute\, UNSW\, Australia. He has authored 477 published technical papers and is a co-inventor of 8 patents. His research interests include power electronics\, renewable energy\, energy storage\, power quality\, HVDC transmission\, and transportation electrification. \nHe is an IEEE Fellow. He is Associate Editor of the IEEE Journal of Emerging and Selected Topics in Power Electronics. He was co-Editor-in-Chief and Associate Editor of the IEEE Transactions on Industrial Electronics. He received the 2018 IEEE Bimal Bose Award for Industrial Electronics Applications in Energy Systems. \nAll are welcome!
URL:https://ece.hku.hk/events/20240325/
LOCATION:Room CB-601J\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240326T100000
DTEND;TZID=Asia/Hong_Kong:20240326T123000
DTSTAMP:20260513T040004
CREATED:20240312T043116Z
LAST-MODIFIED:20250114T065934Z
UID:18004-1711447200-1711456200@ece.hku.hk
SUMMARY:Symposium on AI for Social Good Co-organized by HKU-AI WiSe and HKU-Cambridge AI for Neurodisease Research Platform: AI for Healthy Aging: Revolutionizing Prediction and Treatment of Alzheimer’s Disease
DESCRIPTION:May we draw your attention to the following AI for Social Good event co-organized by HKU-AI WiSe and HKU-Cambridge AI for Neuro-disease Research Platform\, Faculty of Engineering\, the University of Hong Kong\, and the University of Cambridge\, sponsored partly by the US National Academy of Medicine Healthy Longevity Catalyst Award 2023.  \nYou may register below: https://forms.gle/E32UDRKgRjoWiFA76. \n \n 
URL:https://ece.hku.hk/events/20240326-1/
LOCATION:Room 102\, 1/F\, K.K. Leung Building\, The University of Hong Kong
CATEGORIES:Seminar
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END:VEVENT
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