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            “學萃講壇”第841期—Challenge of Ageing Population : Elderly People in Assisted Living

            時間:2018-09-12作者:文章來源:計算機科學與技術學院瀏覽:197

               “學萃講壇”秉承學名家風范、萃科技精華的理念,以學術為魂ag体育注册|平台,以育人為本ag体育注册|平台,追求技術創新,提升學術品位,營造濃郁學術氛圍,共品科技饕餮盛宴!
            報告題目:Challenge  of Ageing Population : Elderly People in Assisted Living
            報  告 人:Shuang  Cang
            報告時間:2018年9月11日14:00-16:00
            報告地點:21#426多媒體教室
            主辦單位:科學技術研究院
            承辦單位:計算機科學與技術學院
            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。

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