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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
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250506T100000
DTEND;TZID=Asia/Hong_Kong:20250506T110000
DTSTAMP:20260509T211609
CREATED:20250603T031739Z
LAST-MODIFIED:20250626T094107Z
UID:111541-1746525600-1746529200@ece.hku.hk
SUMMARY:A Diamond Heater-Thermometer Microsensor for Measuring Localized Thermal Conductivity: A Case Study in Gelatin Hydrogel
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/99573774863?pwd=rkA2rKib5AXIzhfMD5grx9darAa05B.1\nMeeting ID: 995 7377 4863\nPassword: 437351 \nAbstract\nUnderstanding the microscopic thermal effects of the hydrogel is important for its application in diverse fields\, including thermal-related studies in tissue engineering and thermal management for flexible electronic devices. In recent decades\, localized thermal properties\, such as thermal conductivity\, have often been overlooked due to technical limitations. To tackle this\, the study proposes a new hybrid diamond microsensor that is capable of simultaneous temperature control and readout in a decoupled manner. Specifically\, the sensor consists of a silicon pillar (heater) at ≈10 microns in length\, topped by a micron-sized diamond particle that contains silicon-vacancy (SiV) centers (thermometer) with 1.29 K/Hz^−0.5 temperature measurement sensitivity. Combining this innovative\, scalable sensor with a newly established simulation model that can transform heating-laser-induced temperature change into thermal conductivity\, an all-optical decoupled method is introduced with ≈0.05 W m−1 K−1 precision\, which can reduce laser crosstalk. For the first time\, the thermal conductivity change of hydrogels during the gelation process is tracked and the existence of variation is demonstrated. The study introduces a rapid\, undisturbed technique for measuring microscale thermal conductivity\, potentially serving as a valuable tool for cellular thermometry\, and highlights the idea that decoupling can reduce crosstalk from different lasers\, which is helpful for quantum sensing. \nSpeaker\nMr. Ma Linjie\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nSpeaker’s Biography\nLinjie Ma is currently pursuing a Ph.D. degree in the Department of Electrical and Electronic Engineering at The University of Hong Kong\, under the supervision of Prof. Zhiqin Chu. He received his B.S. degree in Physics from Nanjing University (NJU)\, China\, in 2020. His research focuses on nitrogen-vacancy (NV) centers\, diamond-based biosensing\, and mechanobiology. \nAll are welcome!
URL:https://ece.hku.hk/events/20250506-0/
LOCATION:Online via Zoom
CATEGORIES:Highlights,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:20250506T110000
DTEND;TZID=Asia/Hong_Kong:20250506T120000
DTSTAMP:20260509T211609
CREATED:20250603T025307Z
LAST-MODIFIED:20250603T025832Z
UID:111497-1746529200-1746532800@ece.hku.hk
SUMMARY:Progressive End-to-End Object Detection in Crowded Scenes
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/92481644796?pwd=2CJcxbzAimj87HfFHoBMvUr9oCnOUZ.1\nAbstract\nCrowded object detection is a practical yet challenging research field in computer vision. Many research efforts have been made and achieved impressive progress in the last few decades. However\, most of them require handcraft components\, e.g. anchor settings and post-processing\, resulted in sub-optimal performance in handling scenes. In this work\, we propose a new query-based detection framework for crowd detection. Previous query-based detectors suffer from two drawbacks: first\, multiple predictions will be inferred for a single object\, typically in crowded scenes; second\, the performance saturates as the depth of the decoding stage increases. Benefiting from the nature of the one-to-one label assignment rule\, we propose a progressive predicting method to address the above issues. Specifically\, we first select accepted queries prone to generate true positive predictions\, then refine the rest noisy queries according to the previously accepted predictions. Experiments show that our method can significantly boost the performance of query-based detectors in crowded scenes. Moreover\, the proposed method\, robust to crowdedness\, can still obtain consistent improvements on moderately and slightly crowded datasets\, such as CityPersons and COCO. \nSpeaker\nMr. Zheng Anlin\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nSpeaker’s Biography\nMr. Anlin Zheng received the M.S. degree in computer science and technology from Beihang University\, China. He then joined Beijing Megvii Technology Co.\, Ltd. He is currently pursuing the Ph.D. degree in electrical and electronic engineering from the University of Hong Kong (HKU)\, under the supervision of Dr. Xiaojuan Qi. His research focuses on applying deep learning technology to computer vision\, including object detection and AIGC. \nAll are welcome!
URL:https://ece.hku.hk/events/20250506-3/
LOCATION:Online via Zoom
CATEGORIES:Highlights,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:20250506T140000
DTEND;TZID=Asia/Hong_Kong:20250506T150000
DTSTAMP:20260509T211609
CREATED:20250603T023635Z
LAST-MODIFIED:20250603T023709Z
UID:111455-1746540000-1746543600@ece.hku.hk
SUMMARY:Highly Integrated Wireless Direct Drive Motor System for Fully Enclosed Environments
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/95286760379?pwd=3C7A8QPlmXLJAQZ5IsYbEWdDXXvWk1.1\nMeeting ID: 952 8676 0379\nPassword: 492840\nAbstract\nContemporary global motor systems predominantly rely on cable-based and battery-powered energy transmission mediums\, both of which exhibit fundamental structural limitations. Wired systems face challenges such as installation and maintenance complexity\, mobility constraints\, and safety vulnerabilities\, particularly in confined spaces or high-precision applications. On the other hand\, battery-dependent systems struggle with energy density limitations\, thermal sensitivity\, and a mass penalty\, which can increase operational downtime and affect performance. These systemic deficiencies underscore the urgent need to develop next-generation motor systems that integrate contactless power transfer technologies\, wireless direct-drive control\, and passive intelligent control to overcome conventional electromechanical constraints. This study introduces a highly integrated wireless ultrasonic motor system featuring three fundamental innovations. First\, an integrated magnetic coupler is designed to realize independent decoupling control of two-phase high-frequency magnetic fields\, eliminating the dependence on cables and batteries at the receiving side. In addition\, the structural design of the receiving side is simplified to realize the synchronous transmission of wireless energy and wireless drive signals\, enabling the high-frequency electromagnetic energy (40 kHz) induced at the receiving side can directly drive the motor\, which breaks through the elimination of the rectifier and inverter link. Furthermore\, an intelligent passive control is proposed\, whereby the motor side realizes the complete elimination of components such as controllers\, sensors\, compensation capacitors\, semiconductor switches\, rectifiers\, etc.\, and the precise control of rotational speed and direction can be accomplished through the electromagnetic field modulation at the transmitter side\, resulting in a significant reduction of system complexity and cost.\nSpeaker\nMr. Zhiwei Xue\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong\nSpeaker’s Biography\nZhiwei Xue is currently working toward the Ph.D. degree in electrical and electronic engineering with the Department of Electrical and Electronic Engineering at the University of Hong Kong\, Hong Kong\, China. From 2021 to 2022\, he was a Research Assistant at the Department of Electrical Engineering\, The Hong Kong Polytechnic University\, Hong Kong\, China. His research interests include wireless power transfer\, electrical machine drives\, and power electronics. \nAll are welcome!
URL:https://ece.hku.hk/events/20250506-2/
LOCATION:Online via Zoom
CATEGORIES:Highlights,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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