首页

首页

【创源大讲堂】From Personal Big Data to Personalized Intelligence

来源:计算机与人工智能学院 日期:2026/05/29 作者:邹远 责编:向怡蓉

讲座时间:2026年05月31日(星期日)下午14:00

讲座地点:犀浦校区3号教学楼X31541报告厅

主讲人:Jianhua Ma 教授

主讲人简介:

Jianhua Ma is a professor in the Faculty of Computer and Information Sciences, Hosei University, Tokyo, Japan. His research interests include pervasive computing, social computing, wearable technology, IoT, smart things, and cyber intelligence. Ma is one of pioneers in research on Hyper World and Cyber World (CW) since 1996. He has published more than 300 papers, co-authored/edited over 15 books and 30 journal special issues, and delivered over 30 keynote speeches at international conferences. He has founded multiple IEEE congresses and conferences in smart world, cybermatics, ubiquitous/pervasive intelligence, IoT, digital twin, and metaverse. He is a Chair of IEEE SC Hyper-Intelligence Technical Committee, a Co-chair of IEEE SMC Technical Committee on Cybermatics, and a founding chair of IEEE CIS Technical Committee on Smart World.

内容简介:

With the proliferation of smartphones, wearables, IoT, social media, and cloud/edge services, personal big data (PBD) has become a continuous, multimodal record of individual experiences across physical and digital environments. Such data supports deeper personal understanding and enables personalized intelligence (PI) in emerging cyber-physical integrated environments. This talk will first discuss the latest research on recognition of personal behavior, emotion and personality based on increasing personal big data, and then present a novel way to create a group of artificial intelligent buddies or agents that may help a real individual (Rea-I) better living, working and doing other activities in the hyperworld. These personal intelligent buddies/agents, generally known as X-Is, can be in various forms including Cyber-I, Health-I, and so on to serve and assist a person in different life aspects or ways. Potential emerging applications are foreseen, and key technological challenging issues are discussed on using personal big data for personalized intelligence.