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  • 基于个人数据分析和智慧健康网络聚合技术的个体建模分析



    活动地点:校本部东区计算机大楼1001室

    活动时间:2019-07-11 15:00:00

    报 告 人:基于个人数据分析和智慧健康网络聚合技术的个体建模分析(Qun Jin, Professor and Dean of Graduate School of Human Sciences, Waseda University)

    报告时间:07月11日(周四)15:00~16:00

    报告地点:校本部东区计算机大楼1001室

    邀 请 人:李卫民 副教授


    报告摘要: In recent years, convergence of emerging cyber technologies, such as big data, Internet of Things (IoT), and artificial intelligence (AI), which is highly expected to enable and drive innovative solutions and applications, has gained increasing worldwide attention. In this talk, after briefly introducing cyber technology convergence in national strategies, such as Industry 4.0 in German, and Society 5.0 in Japan, our vision and work on personal analytics and individual modeling based on big data will be addressed and explained. Furthermore, promising solution and application of IoT-empowered and AI-enhanced smart services in healthcare to improve quality of life (QoL) and promote well-being for all of the people will be described and discussed. 


    报告人简介:

    Qun Jin is a Professor at the Networked Information Systems Laboratory, Department of Human Informatics and Cognitive Sciences, Faculty of Human Sciences, Waseda University, Japan. He is currently the Dean of Graduate School of Human Sciences. He has been extensively engaged in research works in the fields of computer science, information systems, and social and human informatics. His recent research interests cover human-centric ubiquitous computing, behavior and cognitive informatics, big data, personal analytics and individual modeling, intelligence computing, blockchain, cyber security, cyber-enabled applications in healthcare, and computing for well-being. He is a senior member of Association of Computing Machinery (ACM), Institute of Electrical and Electronics Engineers (IEEE), and Information Processing Society of Japan (IPSJ)。