報告題目：Challenge of Ageing Population : Elderly People in Assisted Living
報 告 人：Shuang Cang
報告人簡介：Professor Shuang Cang holds a professor title and has both industry and academic experience. She received her BSc as excellent graduate from Heilongjiang University, MSc with distinction from Imperial College and Kings College, UK and PhD degree from University of Aberty Dundee, UK. She worked for a leading UK software company, where she was involved in developing statistical software for the pharmaceutical industries and research laboratories. She also worked as senior servant at the UK Government Research Laboratory and the Central Government Department, where she applied statistical and pattern recognition techniques to solve real and complex problems. She received and currently managing EU funded projects and other projects such as Royal Society projects, the income is over six million Euro in total as PI/CI. In terms of publication, she published international high-ranking Journal papers such as European Journal of Operational Research, Decision Support Systems, Expert Systems with Applications, IEEE Journal of Biomedical and Health Informatics & IEEE Transactions on Neural Systems & Rehabilitation Engineering etc. One of her main research area is Digital Healthcare. The techniques such as Data Mining, Artificial Intelligence, Pattern Recognition, Multivariate Statistics, Forecasting, Segmentation and Economic Impact are used in her research.
報告內容：The world population report predicts that the life expectancy at birth will rise from 71 years in 2010-2015 to 77 years in 2045-2050 (United, 2017). Most countries face the problems to ensure that their health systems are ready to adapt to the demographic shift. Therefore, the family members, caregivers or community centre may worry about older people’s health condition, daily routines and safety status when older people live alone. Providing this group of older people with conventional cares might mean an extra cost, and even disturbances for everyday life. Population ageing affects human quality of life, especially in health care, e.g., rise in health care cost, ineffective and insufficient care. Thus, ageing populations pose a number of challenges to families, communities and societies. A key research issue is to provide more accurate, unobtrusive, low-cost and practical assisted technologies for the elderly, and to help them live independently at home as long as possible in the future. The assisted technologies for elderly people are emerging in these years, which aim to offer alternative solutions to help maintain or improve their quality of life by using associated technologies. This talk is about current research work and future prospects and innovation of ICT enabled health care from theory and practice perspective, especially concentrate on activity recognition systems and monitoring the elderly’s specific activities and their long-term behaviour pattern which enable to lead a healthy lifestyle and to stay alone in a safety condition and for elderly people.
首先ag体育注册|平台，科研副院長韓啟龍教授向與會人員介紹Shuang Cang教授簡歷，并就交流內容向與會人員進行了提醒，要求雙方交流要緊密圍繞學術、科研開展ag体育注册|平台。Shuang Cang教授以老齡化為背景ag体育注册|平台，結合人工智能、數據挖掘等方面，從重要性、研究背景、研究方案等方面詳細的介紹了其目前的研究內容。報告環節之后ag体育注册|平台，Shuang Cang教授同與會人員開展互動交流，與會教師同學踴躍提問ag体育注册|平台，Shuang Cang教授均一一耐心回答，本次學術報告使我院師生及時了解到國際最新研究動態，對開展科研工作起到積極的促進作用ag体育注册|平台。