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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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TZID:Asia/Hong_Kong
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251202T100000
DTEND;TZID=Asia/Hong_Kong:20251202T110000
DTSTAMP:20260511T134236
CREATED:20251125T033644Z
LAST-MODIFIED:20251125T033932Z
UID:114266-1764669600-1764673200@ece.hku.hk
SUMMARY:RPG Seminar – Stretchable\, Enhancement-mode PEDOT:PSS Organic Electrochemical Transistors
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/97481664242 \nAbstract\nThe rise of wearable and implantable bioelectronics necessitates stretchable electronic devices and systems to seamlessly integrate with soft biological environments. Stretchable organic electrochemical transistors (OECTs)\, based on conducting polymer poly (3\, 4-ethylenedioxythiophene) doped with polystyrene sulfonate (PEDOT: PSS)\, have emerged as a promising candidate because of their combined high stability and high transconductance. However\, a stretchable\, enhancement-mode PEDOT: PSS OECT (SE-OECT) is still missing\, limiting the development of complementary and low-power integration systems. In this Letter\, we report SE-OECTs. The devices showed typical enhancement-mode transistor behaviors with standby power as low as 0.1 μW while maintaining stable performance after 1000 cyclic tests within 50% strain. \nSpeaker\nMiss Yan Wang\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nYan Wang received her B.Sc in Chemistry from Nankai University. She is currently a Ph.D candidate in the WISE research group working on the processing of soft conducting polymers for high-performance soft OECTs. \nOrganiser\nProf. Shiming Zhang\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20251202-3/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251202T110000
DTEND;TZID=Asia/Hong_Kong:20251202T120000
DTSTAMP:20260511T134236
CREATED:20251125T031958Z
LAST-MODIFIED:20251125T031958Z
UID:114255-1764673200-1764676800@ece.hku.hk
SUMMARY:RPG Seminar – Enhancing Ultrasound Shear Wave Elasticity Imaging Through Spectral Methods and Optimized Sparse Arrays
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/97206601239?pwd=ZZh3WRdq0GpwIlSkVT1UP19HuJD2XQ.1 \nAbstract\nShear wave elasticity imaging (SWEI) is a widely-used technique for quantifying the stiffness of biological tissues. Tissue stiffness varies with pathological processes\, for instance\, local tissue stiffening due to increased stromal density in cancer. However\, there still exist some challenges in SWEI. Specifically\, on the one hand\, the performance of current shear wave speed estimation methods still suffer from biased estimations or time-consuming computations\, and are prone to wave distortions in in vivo cases. On the other hand\, the 2-D nature of conventional SWEI leads to a lack of comprehensive analysis for 3-D shear wave propagation\, for instance\, in anisotropic tissues.  Hence\, for the first challenge\, we have proposed a parameter-free\, robust\, and efficient group SWS estimation method coined as Fourier energy spectrum centroid (FESC). The proposed FESC method is based on the center of mass in ω − k space. It has been evaluated on data from computer simulations with additive Gaussian noise\, a commercial elasticity phantom\, an ex vivo pig liver\, and in vivo biceps brachii muscles of three young healthy male subjects. The FESC method has been compared with four other benchmark methods. Statistical results showed that our FESC method exhibited excellent performance compared the other benchmark methods in terms of precision and computational efficiency. For the second challenge\, due to the instantaneity of shear wave propagation and the adverse effect of high sidelobes on shear wave imaging. We initially have designed an on-grid quasi-flatten side-lobe (Q-Flats) 2D sparse array with 252 activated elements\, which aims to achieve as high contrast performance as possible under the limits of resolution and maximum number of independent channels (i.e.\, 256). The imaging performance of the Q-Flats array has been evaluated using Field II simulations in a multi-angle steered diverging wave transmission scheme. It is demonstrated that the Q-Flats finds a good trade-off among resolution\, contrast\, and number of activated elements. \nSpeaker\nMr. Xi Zhang\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nXi Zhang received the B.S. degree in Electrical Engineering and its Automation from Huazhong University of Science and Technology in 2017 and the Master degree in Biomedical engineering  from Tsinghua university in 2020\, respectively. He is currently pursuing the Ph.D. degree in the Department of Electrical and Electronic Engineering at the University of Hong Kong\, Hong Kong. \nOrganiser\n Prof. Wei-Ning Lee\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20251202/
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:20251202T140000
DTEND;TZID=Asia/Hong_Kong:20251202T150000
DTSTAMP:20260511T134236
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
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2025/11/1280-7.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251202T140000
DTEND;TZID=Asia/Hong_Kong:20251202T150000
DTSTAMP:20260511T134236
CREATED:20251125T032509Z
LAST-MODIFIED:20251125T032509Z
UID:114260-1764684000-1764687600@ece.hku.hk
SUMMARY:RPG Seminar – Ultrafast quantum sensing enabled by in-sensor computing
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/96428082165?pwd=Ra2k3v7nAa8r90G3Ntje8n6uspb3V4.1 \nAbstract\nNitrogen Vacancy (NV) center\, an optically addressable defect in diamond\, has been explored as a promising sensing platform\, due to its exceptional electronic spin properties at the room temperature. The widefield quantum sensing\, leveraging this special property\, allows for parallel readout of spatially resolved NV fluorescence\, and therefore offers enormous potential in diverse fields\, including temperature and magnetic field capturing. Conventional widefield quantum sensing method relying on traditional frame-based cameras\, however\, is usually limited in its sensing speed because it generates a massive amount of data in the form of image frames that needs to be transferred from the camera sensors for further processing. \nThis seminar will talk about a new method that realizes the ultrafast widefield quantum sensing by leveraging the bio-inspired in-sensor processing capability. The designed intelligent system mimics the working process of human eyes that merges signal detecting and processing together\, and the resonance frequencies then can be extracted during the sensing period while no redundant raw data needs to be transferred outside\, and thus an ultrashort sensing time (~ 10 µs in theory) can be achieved. \nSpeaker\nMr. Du Zhiyuan\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nDu Zhiyuan received his B.S. and M.S. degree from the School of Optics and Photonics at Beijing Institute of Technology (BIT)\, China in 2016 and 2019\, respectively. He is currently pursuing a Ph.D. degree at the Department of Electrical and Electronic Engineering under the supervision of Prof. Can Li. His research interests focus on in-sensor computing\, emerging memory device development\, and its application in intelligent quantum sensing. \nOrganiser\nProf. Can Li\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20251202-2/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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