报告主题：From IoT to IoD to IoI: They are all Graph of Things (GoT)

报 告 人：傅洛伊

报告时间：2022年11月15日  15:30-17:30

报告网址：腾讯会议 618 257 767

报告摘要：

  The rise of IoT further promotes the production of huge volume of data, which, when connected, will form a new type of network, i.e., Internet of Data (IoD). IoD further produces large amount of knowledge, which can be connected to form wisdom, allowing the network upgrade into Internet of Intelligence (IoI). Intrinsically, all those types of networks are graph structured. According to Gartner prediction statistics in 2021, graph will be one of the top four enabling technologies for data and analytics. When relooking those networks as Graph of Things (GoT), we will be able to grasp the general structural patterns behind more easily. With the aid of classical graph-related tools, we can gain a holistic understanding of individuals, markets, and organizations, answer complex problems which require contextual understanding and interpretation of the type of connections across several entities, find the problem and an efficient solution faster with the aid of graph-based visualization, make AI and ML explainable by expounding relationship between attributes that led to model’s inferences, etc.

报告人简介：

  傅洛伊，女，博士，上海交通大学副教授，博士生导师，国家优秀青年基金获得者，主要从事图网络下的信息挖掘方向的研究工作；获2022年CCF青年科学家奖、2021年中国计算机学会自然科学一等奖（第一完成人）、2016 ACM中国优秀博士学位论文获得者，2019年计算网络与通信领域全球十大女性新星学者（首位来自中国大陆的获奖者）；获上海市技术发明奖二等奖（排名第五；发表CCF A类论文52篇，单篇google scholar引用次数290。担任IEEE/ACM Transactions on Networking (TON)、ACM Transactions on Sensor Networks (TOSN)以及IEEE Transactions on Network Science (TNSE)编委，以及国际顶级学术会议IEEE INFOCOM、 ACM Sigmetrics、ACM MobiHoc的TPC成员；先后承担及参与国家自然科学基金、科技部重点研发计划等多个项目；更多信息请参见http://www.cs.sjtu.edu.cn/~fu-ly/index.html。