(SEP 2014-SEP 2015) From 2014 to 2015, Prof. Wai Lun LO and Dr. Hong FU have research activities for the following projects.

(NOV 2015) A Visual Platform for the Design, Implementation, and Analysis of Collaborative Business Simulation Games Dr. Collin Wong Wai Hung (Principal Investigator, SCM, HSUHK), Prof. W.L.LO (Co-Investigator), T01/QESS/2015, Quality Enhancement Support Scheme (QESS) under Self-financing Post-Secondary Education Fund Collaborate with Hang Seng Management College and Hong Kong Shue Yan University, HK$ 6,600,140 (HK$990,000 run by CHCHE), Nov 2015 – Nov 2018, 3 Years)
Our proposed project – the development of a visual platform for collaborative business simulation games – aims to enhance teaching quality and learning experience. This can be accomplished with its high flexibility and cost effectiveness. It will be the first business simulation visual platform, which allows scholars to design, implement and share their business games with each other. It will overcome the barrier that existing business simulations do not meet academics’ needs. With the collaboration among the three institutions – Hang Seng Management College, Chu Hai College of Higher Education and Shue Yan University –, we have confidence that our visual platform can benefit seven thousand students and scholars.

(SEP 2014) Eye-tracking Aided Digital System for Intelligent Strabismus Diagnosis and Therapy Training: Dr. Hong FU (Principal Investigator), Prof. W.L.LO (Co-Investigator), FDS RGC Hong Kong, UGC/FDS13/E04/14, HK$952,430, 01 October 2014 – 31 September 2017)

Strabismus, also known as heterotropia, is a common ophthalmic disease in which the two eyes cannot be properly aligned with each other. This vision disorder affects about 4% of the population for both adults and children, making it one of the most common eye diseases in preschool children in Hong Kong and other counties. If not well treated, strabismus may cause amblyopia (also called “lazy eye”), poor depth perception, and even permanent vision loss. Most of diagnosis methods currently in use are subjective or semi-subjective and much depend on the experiences. Sometimes intermittent or recessive strabismus is difficult to perceive. These make many young patients miss the best time for treatment. Studies show that appropriate eye movement trainings can effectively treat most of the strabismus. However, there is no such eye training system in which the process of training can be timely and systematically evaluated. Therefore, there is a substantial need to develop an objective, digitalized and intelligent system for strabismus diagnosis and therapy training.

We propose an eye-tracking aided digital system for intelligent strabismus diagnosis and therapy training. In the proposed work, we plan to use eye tracking technology to track and record the eye movements digitally. Then we will explore the featured eye movement pattern of strabismus and model the relationship between extraocular muscles and eye movements. Intelligent diagnosis and therapy training will be conducted based on the analysis of eye movement data. Three key issues will be investigated, including gaze estimation of strabismic eye, strabismic pattern mining, as well as relationship between extraocular muscles and eye movements. A prototype system will then be built up and implemented, and system qualification review will also be carried out.

The outcome of the proposed work will provide a new alternative for strabismus diagnosis and therapy training. In the aspect of diagnosis, it will increase the efficiency of diagnosis and reduce the healthcare cost, so that makes it easy to conduct screening of strabismus among a large population, for example, all the students in a primary school. The findings and methodology obtained in this work could also be considered as valuable reference for other vision disorders, such as amblyopia, depth perception problem and tracking problem. In the aspect of therapy training, training and evaluation on the response will be integrated seamlessly and interactively. Therefore, the effectiveness of therapy training will be enhanced.

(SEP 2014) Programme for the Enhancement of Research Capacity in Sustainable Systems and Technologies, Prof. C.N.Chang (Principal Investigator), Prof. W.L.LO (Co-Investigator) CS Research Group Leader, Dr. Hong FU (Co-Investigator), RGC IDS Hong Kong, UGC/IDS13/14, HK$13,767,934, 01 January 2015 – 31 December 2017)

Building upon more than half a century of experience in providing quality tertiary education, the Chu Hai College of Higher Education (the College) has been undergoing significant transformation to meet the demand for a knowledge-base economy of the 21st century since the Hong Kong Council for Academic Accreditation (HKCAA, now known as Hong Kong Council for Academic and Vocational Accreditation, HKCAAVQ) confirmed the granting of accreditation status to the College in early 2003. Recently, the College had also completed two Programme Area Accreditation exercises (self-accrediting status exercises), further signifying the quality of its delivered degree programmes. Further supports from the Government for the College to construct a new campus at Tuen Mun East Castle Peak Bay has also marked an important stage of its educational development to better serve the Hong Kong community.

In this project, a research capacity enhancement programme is proposed that could enable the College realise its long-term mission and vision as one of the outstanding and influential universities in targeted fields of pursuit by treating research and teaching as equally vital. The proposed programme emphasising research on sustainable systems and technologies takes the advantage of adopting an interdisciplinary approach to combining various research efforts being engaged in the architecture, civil engineering and computer science fields under the Faculty of Science and Engineering, in which the study on environmental sustainability is identified as a key strategic area of development for the College. The main focus is to improve and promote relevant research activities, so as to help the College to gain better standing in pursuing excellence in such targeted field of study.

Four research themes are identified for the proposed programme, encompassing architectural design modelling and simulation, environmental monitoring, materials technology, and intelligent sensing and computing technology. The Faculty of Science and Engineering of the College will boost the support for these themes in specific research landscape through establishing core facilities and equipment with the state-of-the-art information and communication technology, such that a sophisticated and integrated research environment can be provided for the Architecture, Civil Engineering, and Computer Science Departments. Moreover, the infrastructure for supporting research will be strengthened by recruiting an administrative and technical supporting team to assist faculty staff to carry out their investigations. The supporting team will also help plan and organise a series of scholarly activities to facilitate information sharing and exchange with the academic and the research communities.

In a long run, the enhancement of research capacity for the Faculty of Science and Engineering will have a significant impact on the future development of the College with respect to achieving its goal of becoming reputable institution of higher education in the targeted field of pursuit. For more immediate benefits, it is envisaged that the project will contribute greatly to the development of a research centre for sustainable systems and technologies within the College. Such a research centre will play an important role in promoting interdisciplinary research activities and enabling the development of new architectural design, civil engineering and computer science curricula to educate a new generation of scientists, engineers and architects capable of incorporating designs and processes associated with sustainability concepts.