基于個人數據分析和智慧健康網絡聚合技術的個體建模分析



活動地點:校本部東區計算機大樓1001室

活動時間:2019-07-11 15:00:00

報 告 人:基于個人數據分析和智慧健康網絡聚合技術的個體建模分析(Qun Jin, Professor and Dean of Graduate School of Human Sciences, Waseda University)

報告時間:07月11日(周四)15:00~16:00

報告地點:校本部東區計算機大樓1001室

邀 請 人:李衛民 副教授


報告摘要: 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. 


報告人簡介:

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)。


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