报告题目：Challenge of Ageing Population : Elderly People in Assisted Living
报 告 人：Shuang Cang
报告人简介：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.
报告内容：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，科研副院长韩启龙教授向与会人员介绍Shuang Cang教授简历，并就交流内容向与会人员进行了提醒，要求双方交流要紧密围绕学术、科研开展。Shuang Cang教授以老龄化为背景，结合人工智能、数据挖掘等方面，从重要性、研究背景、研究方案等方面详细的介绍了其目前的研究内容。报告环节之后，Shuang Cang教授同与会人员开展互动交流，与会教师同学踊跃提问，Shuang Cang教授均一一耐心回答，本次学术报告使我院师生及时了解到国际最新研究动态，对开展科研工作起到积极的促进作用。