Media Release
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2017-10-24
Prof. Kevin Yip Proposes a New Method for Reconstructing Enhancer-target Networks in Human Cell and Tissue
A research team led by Prof. Kevin Yip has recently studied gene enhancers, a type of regulatory element in deoxyribonucleic acid (DNA), together with their target genes, in 935 human cell and tissue samples. This finding helps explain the consequences of mutations in enhancers. As an application in a cancer study, three genes (// ... -
2017-10-17
Prof. Bian Liming Develops Slow Degrading Hyaluronic Acid Hydrogels to Improve Joint-motion for Osteoarthritis
Prof. Bian Liming, Department of Biomedical Engineering, has recently developed a new class of injectable and slow-degrading hyaluronic acid (HA) hydrogels for osteoarthritis (OA). OA is characterized by the progressive degradation of articular cartilage in limb joints such as knees and hips, which can lead to significant pain and ... -
2017-09-28
Major Security Loophole in Mobile Payment Systems Discovered by Department of Information Engineering
The System Security Lab, led by Prof. Kehuan ZHANG from the Department of Information Engineering has analyzed various major mobile payment systems for their security vulnerabilities, and discovered a major loophole. The finding has caused a large third party payment platform in mainland China to promptly implement new security measures ... -
2017-09-12
Prof. Cheng Chun Hung Develops Real-time Trolley Supply Monitoring System with AI-based Video Content Analytics Enhancing Service Quality of Hong Kong International Airport
The Department of Systems Engineering and Engineering Management, in collaboration with Hong Kong R&D Centre for Logistics and Supply Chain Management Enabling Technologies (LSCM R&D Centre) and Airport Authority Hong Kong (AA), has successfully developed a *Real-time Trolley Supply Monitoring System* at the Hong... -
2017-09-08
Prof. Heng Pheng Ann Develops Artificial Intelligent Systems Improving Efficiency in Diagnosing Lung Cancer and Breast Cancer through Automated Medical Image Analysis
A research team led by Prof. HENG Pheng Ann, Department of Computer Science and Engineering has developed an automated image processing technology that, through deep learning, is able to offer efficient and accurate diagnosis using CT scan and histopathological images. The technology has been tested on two of Hong Kong’s most prevalent... -
2017-07-18
Prof. Ren Wei Develops a Small, Portable, Low-Cost Gas Sensing System
A team led by Prof. REN Wei, Assistant Professor of the Department of Mechanical and Automation Engineering has developed a portable gas sensing system with high sensitivity. The use of quartz-enhanced photoacoustic spectroscopy (QEPAS), significantly lowers operational costs. The system enables quick and ... -
2017-06-14
Engineering Team Develops Ultra-Thin Wearable Blood Pressure Sensor
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 ... -
2017-06-12
Prof. Wong Kam Fai’s Team Develops Hong Kong’s First Automatic Chinese Typographical Error Detection System
A system called Automatic Chinese Typographical Error Detection has recently been developed by a research team led by Prof. Wong Kam Fai, Department of Systems Engineering and Engineering Management. The system is the first of its kind in Hong Kong for local students. It has already been tested among primary and secondary school ... -
2017-04-13
Breakthrough in Energy Storage Technology
A high-energy-density zinc/iodine-bromide redox flow battery (ZIBB) has recently been developed by *Prof. Yi-Chun Lu*, Assistant Professor of the Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong and her research team. ZIBB achieved the highest reported energy density for ... -
2017-03-21
Prof. Huang Jianwei Proposes Innovative Business Models to Release Potential of Wi-Fi Networks
The Network Communications and Economics Lab (NCEL), led by Prof. Jianwei Huang from the Department of Information Engineering has recently proposed two innovative business models to explore the economic benefits of a Wi-Fi sharing community. These models not only benefit consumers but also create new ...
