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Prof. MENG, Max Qing Hu has been elected Fellows of the Canadian Academy of Engineering
Prof. MENG, Max Qing Hu of the Faculty of Engineering at The Chinese University of Hong Kong (CUHK) has been elected Fellow of the Canadian Academy of Engineering (CAE) for his notable achievements in Engineering. This year, a total of 52 new international fellows were inducted, and Professor MENG was one of the only two fellows from Hong Kong.
CUHK Faculty of Engineering Develops Ultra-Thin Wearable Blood Pressure Sensor Round-the-Clock, Continuous Measurement to Prevent Acute Health Events
An ultra-thin, unobtrusive blood pressure (BP) sensor that can be worn as a wristband or weaved into clothing has been developed by a research team from the Faculty of Engineering at The Chinese University of Hong Kong (CUHK). Such devices are accurate and low on battery consumption. When connected to a wireless network, they can provide round-the-clock tracking of the user’s BP, so that abnormality can be detected early to advert acute problems such as strokes and heart attacks.
Postgraduate student Lo Po Wen Frank received The Lee Family Scholarship 2017
Mr. Lo Po Wen Frank, postgraduate student from Department of Electronic Engineering, supervised by Professor Meng Q.-H. Max, received The Lee Family Scholarship 2017 on 22nd Mar, 2017. The scholarship is well known for its competitiveness, there are only 2 awardees this year in Hong Kong.
MSc student Li Junwen received The Arthur and Louise May Memorial Scholarship 2016/17
Breaking news! Our current M.Sc student – Ms LI Junwen awarded the Arthur and Louise May Memorial Scholarship 2016/17 of HK$20,000 with her outstanding academic performance. Ms LI is also one of the awardees of M.Sc Admission Scholarship 2016/17.
Department of Electronic Engineering opened the first Deep Learning elective course in 2016-17
The Chinese University of Hong Kong (CUHK) is a world leader at the field of Artificial Intelligence and Deep Learning. The CUImage team, CUVideo team, and SenseCUSceneParsing team led by Prof. OUYANG Wanli, Prof. LI Hongsheng and Prof. WANG Xiaogang won the Championship of three challenges in the recent ImageNet Large Scale Visual Recognition Challenge (ILSVRC) 2016 with their developed deep learning technologies: 1) object detection; 2) object detection/tracking from video; and 3) scene parsing.
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