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X-ORIGINAL-URL:https://ece.hku.hk
X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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BEGIN:VTIMEZONE
TZID:Asia/Hong_Kong
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TZOFFSETFROM:+0800
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241002T110000
DTEND;TZID=Asia/Hong_Kong:20241002T120000
DTSTAMP:20260512T104512
CREATED:20240603T024223Z
LAST-MODIFIED:20250114T040742Z
UID:18753-1727866800-1727870400@ece.hku.hk
SUMMARY:Ultrasound and Microbubbles for Anticancer Drug Delivery: From Physics to Clinics
DESCRIPTION:Abstract\nUltrasound\, in conjunction with microbubbles\, offers a promising drug delivery method. This approach\, known as sonoporation\, enables targeted drug delivery by temporarily permeating biological barriers (e.g.\, cell membrane\, vessel wall) under ultrasound insonation. It shows potential for a wide range of therapeutic agents\, including chemotherapeutics\, nucleic acids\, peptides\, and antibodies. While preclinical studies have demonstrated promise\, several challenges must be addressed for clinical translation. These include standardizing ultrasound parameters\, selecting suitable microbubbles\, identifying optimal clinical applications\, and resolving questions about administration methods and treatment schedules. Additionally\, the type and concentration of microbubbles\, as well as their response to ultrasound activation\, play critical roles. The ultimate goal is to facilitate the adoption of this technology in clinical settings\, and ongoing and future trials aim to further advance drug delivery through sonoporation. \nSpeaker\nDr. Ayache BOUAKAZ\nIEEE Ultrasonics Distinguished Lecturer\,\nResearch Director of the INSERM Imaging and Brain Institute (iBrain)\,\nUniversity of Tours\, France \nBiography of the Speaker\nDr. Ayache BOUAKAZ obtained his Master degree and his PhD in acoustics in 1992 and 1996 at the National Institute of Applied Sciences in Lyon\, France (INSA Lyon). In 1998\, he joined the Pennsylvania State University at State College\, PA\, USA as a Research Fellow. From December 1999 to November 2004\, he held a Senior Research Associate position at Erasmus Medical Center in Rotterdam\, the Netherlands. His research focused on ultrasound imaging\, ultrasound contrast agents and transducer design. In 2004\, he obtained a position as an Inserm researcher and since 2009\, he has held the position of research director at the Inserm Imaging and Brain institute (iBrain) and the position of Adjunct Professor of Biomedical engineering\, University of Tours\, where he heads the ultrasound imaging and therapy group. His research focuses on imaging and therapeutic applications of ultrasound. Ha was a Chair Professor at the Jiaotong University of Xi’an in China (2017- 2022). He is the general chair of the international conference IEEE International Ultrasonics Symposium (IEEE IUS) 2016 in Tours\, France and co-general chair of the IEEE IUS 2021\, in Xi’an China (virtual meeting). He has served as the vice-president of the IEEE UFFC society in charge of Symposia from 2017-2020 and an elected board member of the International Therapeutic Ultrasound society (2017 – 2019). He has been awarded the distinguished lecturer award of the IEEE UFFC society 2023-2024. He has published more than 220 articles in peer-reviewed journals\, more than 100 articles published in conference proceedings and has filed 9 patents. \nOrganiser\nProf. W.-N. LEE \nCo-organisers\nIEEE Advancing Technology for Humanity\nIEEE Ultrasonics Ferroelectrics and Frequency Control Society\nTam Wing Fan Innovation Wing Two \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20241002-1/
LOCATION:Tam Wing Fan Innovation Wing Two\, G/F\, Run Run Shaw Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/06/1280.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241008T140000
DTEND;TZID=Asia/Hong_Kong:20241008T150000
DTSTAMP:20260512T104512
CREATED:20241003T102505Z
LAST-MODIFIED:20250114T034443Z
UID:19243-1728396000-1728399600@ece.hku.hk
SUMMARY:Fiber Optic Modes and Imaging Basics
DESCRIPTION:Abstract\nThis talk will focus on some simplified concepts to help understand graded-index multimode fibers which are commonly used in short reach (<100 m) optical links in Data Centers and Super Commuter applications.  Simplified first order estimates often provide useful insights and are a good first step before turning to more detailed numerical modelling. \nSpeaker\nDr. Wayne V. Sorin\nLife Fellow of the IEEE \nBiography of the Speaker\nWayne V. Sorin received his Ph. D. in Electrical Engineering from Stanford University in 1986.  After graduation\, he worked for over 14 years as a scientist in the area of fiber optics at Hewlett-Packard Laboratories.  He then spent 7 years at the start-up company Novera Optics which focused on WDM-PONs for access networks.  Later he spent a year at the University of Melbourne as a Senior Research Fellow.  For the last 14 years\, he has been back at Hewlett Packard Labs working in the area of high-bandwidth short-reach optical communications for computer applications. \nWayne is an inventor on over 165 US patents and an author on over 150 journal and conference papers.  He has been an Associate Editor for the IEEE journal “Photonics Technology Letters” and has served a 3-year term on the Board of Governors for the IEEE Lasers and Electro-Optics Society which is now called the Photonics Society.  Wayne also served as the General Co-Chair for OFC’2002 (Optical Fiber Communications conference).  He was a contributing author for the textbook “Fiber Optic Test and Measurement” (Prentice Hall\, 1997) and has spent 4 years on the part-time faculty of San Jose State University.  Wayne is a Life Fellow of the IEEE.\n\nOrganiser\nProf. Kenneth K.Y. Wong\nProfessor\,\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20241008-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/10/1280-5.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241009T160000
DTEND;TZID=Asia/Hong_Kong:20241009T170000
DTSTAMP:20260512T104512
CREATED:20241004T081613Z
LAST-MODIFIED:20250114T034350Z
UID:19268-1728489600-1728493200@ece.hku.hk
SUMMARY:What is the Value of Magnetic Resonance Elastography (MRE) for Clinical and Cognitive Brain Science?
DESCRIPTION:Joint Seminar Organised by the Department of Electrical & Electronic Engineering & Department of Psychology \n \nDate: 9 October 2024 (Wednesday)\nTime: 4:00 pm – 5:00 pm\nVenue: Room 1103\, 11/F\, The Jockey Club Tower\, The University of Hong Kong \nZoom Meeting (For participants who couldn’t attend the Seminar in person):\nhttps://hku.zoom.us/j/6985555998?pwd＝V05yTGJWNTlzazd2OFZ0Q3FReHVkdz09\nMeeting ID: 698 555 5998 I Password: Psyc \nAbstract:\nMagnetic Resonance Elastography (MRE) is a Magnetic Resonance Imaging (MRI) technique that receives close attention because it allows non-invasive measurement of a fundamental physical quantity\, namely the mechanical properties (i.e. elasticity and viscosity) of tissues. The technique was first described in a publication in the journal Science in 1995 (Muthupillai et al.\, 1995). Mechanical vibrations are introduced in the organ of interest via an appropriate actuator and the acoustic waves that are produced are imaged by using a phase sensitive MRI technique. Tissue stiffness is related to the speed of the propagating waves and mathematical inversion techniques are applied to produce a parametric map that is referred to as an elastogram. The capability to perform MRE is now available on 1\,000’s of commercial MRI systems worldwide and application of MRE to grade the severity of fibrosis in patients with liver disease is replacing the need for invasive biopsy. Meanwhile a substantial body of research has been performed concerning the study of the brain and which will be reviewed. The MRE technique offers the possibility of exquisite sensitivity through an inherently large dynamic range and robust quantification\, and of particular interest will be to consider the resources that are required to establish potential new research projects in clinical and cognitive neuroscience concerning brain MRE. The presentation will conclude with a glimpse into the future and consideration of what is state of the art in MRE research and how MRE is influencing clinical practice. \nSpeaker:\nProf. Neil Roberts\nChair of Medical Physics and Imaging Science\,\nUniversity of Edinburgh\, UK \nBiography of the Speaker:\nAfter graduating in Physics from the University of Liverpool\, Neil was awarded a Personal Fellowship from the Natural Environment Research Council (NERC) and subsequently moved to the USA where he was Research Associate at University of California in Santa Barbara (UCSB). Returning to the UK\, Neil was appointed Lecturer at the University of Liverpool\, Magnetic Resonance and Image Analysis Research Centre (MARIARC)\, which was built to house the UK’s first commercial Magnetic Resonance Imaging (MRI) system\, to set up an Image Analysis Laboratory\, and where he was subsequently appointed Director. In 2009 Neil was appointed Chair of Medical Physics and Imaging Science at the University of Edinburgh and is based in the Centre for Reproductive Health (CRH) in the Institute for Regeneration and Repair (IRR). \nNeil’s chosen research is quantitative Magnetic Resonance Imaging (qMRI) and he has published over 200 relevant peer-reviewed scientific articles concerning application of different MRI techniques ( e.g. structural MRI\, DTI\, ±MRI\, MRS) in clinical research and especially in clinical and cognitive neuroscience. Most prominent is the technique of Magnetic Resonance Elastography (MRE) for non-invasive measurement of tissue mechanical properties\, and in collaboration with Dr. Richard Ehman at the Mayo Clinic\, Minnesota\, USA this is being applied in studies of the uterus with Professor Hilary O.D. Critchley at the University of Edinburgh\, of brain with Professor Meiyun Wang\, Henan Academy of Science\, ZhengZhou\, China and Professor Yoshiyuki Watanabe\, Shiga University of Medical Science (SUMS)\, Japan and of muscle with Dr. Uraiwan Chatchawan\, Khon Kaen University (KKU)\, Thailand. \nDetails of the Seminar: https://psychology.hku.hk/events/2024-10-09 \n  \nEnquiry: bbecker@hku.hk \nAll are welcome! We look forward to seeing you.
URL:https://ece.hku.hk/events/20241009-1/
LOCATION:Room 1103\, 11/F\, The Jockey Club Tower\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/10/34345443.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241017T140000
DTEND;TZID=Asia/Hong_Kong:20241017T150000
DTSTAMP:20260512T104512
CREATED:20241009T044459Z
LAST-MODIFIED:20250114T034058Z
UID:19291-1729173600-1729177200@ece.hku.hk
SUMMARY:RPG Seminar – AI-Embedded Stretchable E-Skin For Wearable\, Real-Time Muscle Proprioception
DESCRIPTION:Abstract\nStretchable and skin-attachable sensors hold significant potential for personalized health monitoring and sports enhancement applications. However\, the development of wearable\, stretchable e-skins that empower humans with muscle proprioception abilities is still lacking. We introduce an innovative approach that integrates stretchable e-skin with conductive hydrogels and an advanced Transformer model\, creating an AI-embedded stretchable e-skin with unique muscle proprioception capabilities. Additionally\, the embedded quantized neural networks enable precise and real-time predictions of joint torque in edge scenarios\, making our smart e-skin a promising solution for broad wearable applications. \nSpeaker\nMr. Pang Ivo\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the speaker\nIvo Pang received his BEng in Biomedical Engineering (BME) from the University of Hong Kong. He is currently an MPhil student in the WISE Research Group\, focusing on stretchable wearable devices for healthcare applications. \nOrganizer:\nProf. Shiming Zhang \nAll are welcome.
URL:https://ece.hku.hk/events/20241017-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241018T140000
DTEND;TZID=Asia/Hong_Kong:20241018T150000
DTSTAMP:20260512T104512
CREATED:20241010T015619Z
LAST-MODIFIED:20250114T034021Z
UID:19303-1729260000-1729263600@ece.hku.hk
SUMMARY:Enhancing Contrast\, Field of View and Axial Resolution of Structured Illumination Microscopy
DESCRIPTION:Direction to Innovation Wing Two: https://innowings.engg.hku.hk/innowing2/visitors \nAbstract\nSuper-resolved structured illumination microscopy (SR-SIM) is among the most flexible\, fastest and least perturbing fluorescence microscopy techniques capable of surpassing the optical diffraction limit. Current custom-built instruments are easily able to deliver two-fold resolution enhancement at video-rate frame rates\, but the cost of the instruments is still relatively high and the physical size of the instruments is still prohibitively large. We have developed compact\, cost-efficient and high-speed 2D-\, grazing-incidence- and TIRF-SIM to overcome these limitations. A fiber-based illumination path allows multi-color imaging with a field-of-view (FOV) of up to 230×230 µm². A novel method called multi-angle TIRF SIM allows an image reconstruction with an enhanced axial resolution. The setup consists of a fiber-coupled laser combiner with 405 nm\, 491 nm\, 561 nm and 639 nm laser sources\, a fiber-switch to select the desired illumination angle with integrated phase shifters and a hexagonal fiber collimator with a lens telescope that projects the beams into the back-focal plane of the objective lens. All modules of the illumination path are home-built to achieve highest stability and a compact size. The rotation of the illumination angle is performed by two galvo-mirrors that select the corresponding pair of fibers and phase shifts of the zero order beam and one of the two first order beams are performed by home-built\, MEMS-mirror based phase-shifters that modulate the optical path length. The phase shifters and galvo-mirrors allow transition times between illumination patterns of less than 1 ms. The hexagonal collimator allows to adjust the pattern spacing in the sample seamlessly\, within a transition time of 100 ms. The capability of the setup is demonstrated by multicolor imaging of fixed liver endothelial cells (LSECs) and mouse brain tissue slices with TIRF- and 2D-SIM with a FOV of up to 230×230 µm² and a lateral resolution of up to 85 nm. Moreover\, an improved version of this setup was used with a wide-field FLIM detector for super-resolved FLIM-SIM\, which was applied for live-cell imaging and dye-multiplexing. \nSpeakers: Dr. Henning Ortkrass & Mr. Manuel Kunisch\nBielefeld University \nBiography of the Speakers: \nHenning Ortkrass is PostDoc in the research group of Prof. Dr. Thomas Huser in the field of biomolecular photonics. He obtained his PhD in 2024 with a thesis on novel approaches on super-resolution structured illumination microscopy (SIM)\, including the development of a large-FOV\, multi-color\, high-speed\, fiber-based TIRF-SIM system. Additionally\, he developed and applied a compact\, cost-efficient\, interferometric SIM system for joint fluorescent lifetime imaging microscopy. These systems were successfully used in live-cell applications. Besides his research focus on novel soft- and hardware solutions for more versatile SIM microscopy\, he currently prepares a start-up company to make this methods more user-friendly and commercially available. \nManuel Kunisch is PhD student at the Biomolecuar Photonics lab led by Thomas Huser at the Bielefeld University. He obtained his Bachelor’s degree in 2021 with a thesis about the fast reconstruction of hyperspectral coherent Raman scattering (HS-CRS) data. In this context\, a Python-based reconstruction tool with a user-friendly GUI was conceived and is still under development to facilitate the creation of false-color coded images from hyperspectral data separating distinct molecular groups based on their spectral response in individual channels. \nOrganiser: Professor Kenneth K.Y. Wong\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nCo-organiser: Tam Wing Fan Innovation Wing Two \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20241018-1/
LOCATION:Tam Wing Fan Innovation Wing Two\, G/F\, Run Run Shaw Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/10/1280-4.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241021T110000
DTEND;TZID=Asia/Hong_Kong:20241021T120000
DTSTAMP:20260512T104512
CREATED:20241016T064446Z
LAST-MODIFIED:20250114T033931Z
UID:19308-1729508400-1729512000@ece.hku.hk
SUMMARY:Big AI for Small Devices
DESCRIPTION:Abstract\nAs artificial intelligence (AI) transforms industries\, state-of-the-art models have exploded in size and capability. However\, deploying these models on resource-constrained edge devices remains a significant challenge. Smartphones\, wearables\, and IoT sensors face stringent limitations on compute\, memory\, power\, and communication\, creating a gap between demanding AI models and edge hardware capabilities that hinders the deployment of intelligence. In this talk\, we will re-examine techniques to bridge this gap and embed big AI on small devices. We will begin by discussing how the properties of various hardware platforms impact the design strategies of efficient deep neural network (DNN) models\, such as quantization and pruning. Next\, we will discuss techniques aimed at reducing the inference and training costs of distributed collaborative edge AI systems. Finally\, we will delve into the underlying design philosophies and their evolution toward efficient\, scalable\, robust\, and secure edge computing systems. \nSpeaker\nProf. Yiran Chen\nJohn Cocke Distinguished Professor of Electrical and Computer Engineering\,\nDuke University \nBiography of the Speaker\nProf. Yiran Chen is the John Cocke Distinguished Professor of Electrical and Computer Engineering at Duke University. He serves as the principal investigator and director of the NSF AI Institute for Edge Computing – Athena\, the NSF Industry-University Cooperative Research Center for Alternative Sustainable and Intelligent Computing (ASIC)\, and the co-director of the Duke Center for Computational Evolutionary Intelligence (DCEI). Dr. Chen is the author of over 600 publications and holds 96 US patents. His works have been recognized with numerous awards and honors\, including the IEEE Circuits and Systems Society’s Charles A. Desoer Technical Achievement Award and the IEEE Computer Society’s Edward J. McCluskey Technical Achievement Award. He is a Fellow of AAAS\, ACM\, IEEE\, and NAI\, and the inaugural Editor-in-Chief of IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI).\n\nOrganiser\nProf. K.B. Huang\nProfessor & Head of Department\,\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20241021-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/10/1280-3.jpg
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