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X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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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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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250623T110000
DTEND;TZID=Asia/Hong_Kong:20250623T120000
DTSTAMP:20260511T210454
CREATED:20250612T015942Z
LAST-MODIFIED:20250612T100557Z
UID:111868-1750676400-1750680000@ece.hku.hk
SUMMARY:Optical polarization modulation of fluorescent nanodiamonds toward practical applications
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/91034052349 \nAbstract\nWith ultrahigh photostability\, nanoscale size and good biocompatibility\, fluorescent nanodiamonds containing nitrogen-vacancy (NV) centers are promising nanoscale markers. The prevailing method of using this marker—quantum sensing—demonstrates outstanding function as detecting various physical quantities with high precision and spatial resolution. However\, the complexity of apparatus and manipulation currently limit this method in the stage of model application and proof-of-concept. To balance strong function with ease of use\, we proposed another approach\, i.e.\, optical linear polarization modulation (LPM). In the initial phase\, we set up a custom-built confocal microscopy system that provides high-quality\, single-spot measurement data with user-friendly operation. Using this system\, we measured the LPM curve of single NV centers to determine their orientations\, and for the first time\, directly observed rotational motion in the cellular traction force field—serving as a proof-of-concept for our method. In the subsequent phase\, we enabled significantly brighter fluorescent nanodiamonds\, by demonstrating that the LPM model of multiple NV centers is equivalent to that of a single NV center. This breakthrough allows for the observation of spatial mapping information using convenient wide-field microscopy. These advancements provided the basis for multidimensional encoding of anti-counterfeiting labels\, achieving both satisfactory anticounterfeiting and commercial performance. This work marks a significant step toward the practical application of fluorescent nanodiamonds. \nSpeaker\nMr. Lingzhi Wang\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nSpeaker’s Biography\nLingzhi Wang received his B.Eng. Degree from Nanjing University. He is currently pursing a PhD degree in the Department of Electrical and Electronic Engineering\, The University of Hong Kong. His research focuses on promoting practical application of fluorescent nanodiamonds by optical polarization modulation method. \nAll are welcome!
URL:https://ece.hku.hk/events/20250623-1/
LOCATION:Online via Zoom
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250627T153000
DTEND;TZID=Asia/Hong_Kong:20250627T170000
DTSTAMP:20260511T210454
CREATED:20250619T015442Z
LAST-MODIFIED:20250619T015621Z
UID:111885-1751038200-1751043600@ece.hku.hk
SUMMARY:Seminars on Insights and Best Practices in UK-China Higher Engineering Education
DESCRIPTION:Seminar (1): Navigating Excellence in Transnational Engineering Education: The QMUL-BUPT Joint Programme Experience\nSpeaker: Prof. Michael CHAI\, Professor of Internet of Things\, Queen Mary University of London \nAbstract:\nAs global demand grows for engineering graduates equipped with both academic excellence and international perspectives\, transnational education (TNE) plays a vital role in redefining the boundaries of global higher education. This talk presents the strategic vision\, evolution\, and implementation of the Joint Programme (JP)/ Joint Educational Institute (JEI) between Queen Mary University of London and Beijing University of Posts and Telecommunications (QMUL-BUPT)\, a flagship model of collaborative engineering education. \nSince its inception\, the QMUL-BUPT JP has been committed to delivering a world-class\, research-informed curriculum that bridges Eastern and Western educational philosophies while upholding rigorous UK academic standards. The programme not only cultivates technical expertise but also fosters global competence\, bilingual communication skills\, and intercultural understanding. Central to its success are shared academic governance\, faculty exchange\, quality assurance mechanisms\, and ongoing innovation in teaching and assessment. \nThis talk will highlight how the programme has evolved to meet the changing needs of students and industry. Attendees will gain insights into the opportunities and challenges of sustaining excellence in TNE and the strategic leadership required to foster impactful global academic partnerships. \n******************************************************************* \nSeminar (2): Shaping AI-Ready Graduates through Higher Education Innovation\nSpeaker: Prof. Yue CHEN\, Professor of Telecommunications Engineering\, Queen Mary University \nAbstract:\nAs Artificial Intelligence (AI) transforms the global workforce and the landscape of higher education\, preparing students with AI competence has become both a strategic imperative and a pedagogical challenge. This talk introduces AICoDE\, a structured and human-centred framework\, recently developed and implemented at Queen Mary University of London and Beijing University of Posts and Telecommunications (QMUL-BUPT) joint transnational education programmes. \nAICoDE is designed to formally embed AI competence development into the engineering curriculum. It pursues three key objectives: to leverage AI’s transformative potential to enrich teaching and learning; to mitigate the risks associated with its misuse or unethical application; and to equip graduates with the critical knowledge and skills required to thrive in increasingly AI-driven professional environments. \nA distinctive feature of AICoDE is its 3A assessment strategy\, which scaffolds AI integration in education while safeguarding academic integrity and promoting critical thinking. This talk will also outline the framework’s implementation through curriculum and assessment mapping. Attendees will gain strategic insights and actionable guidance on embedding AI literacy and competence into higher education curricula\, with relevance across both institutional and international contexts. \n*******************************************************************\nSpeakers’ Biography: \nProf. Michael CHAI is Professor of Internet of Things at the School of Electronic Engineering and Computer Science\, Queen Mary University of London. He serves as the Queen Mary Director of TNE in partnership with BUPT in Beijing. His research began in smart Internet of Things and wireless communications\, and has since expanded to include pedagogical scholarship aimed at enhancing student learning and academic development in Higher Education and transnational contexts. \nProf. Yue CHEN is Professor of Telecommunications Engineering\, Director of Scholarship\, and Senior Advisor for Transnational Education at the School of Electronic Engineering and Computer Science\, Queen Mary University of London. She is an accomplished academic whose work bridges technical expertise and educational innovation\, with a focus on wireless communications\, mobile edge computing\, and the Scholarship of Teaching and Learning. Her current research and leadership activities centre on active learning\, curriculum enhancement\, the pedagogical integration of AI in higher education\, and the advancement of transnational education. \nOrganiser: Prof. Yuanwei LIU\, Professor\, Department of Electrical and Electronic Engineering\, HKU \nAll are welcome!
URL:https://ece.hku.hk/events/20250627-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Highlights,Seminar
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