Professor Dr. Jiannong Cao

 

Invited Talk

Affiliation : Department of Computing at Hong Kong Polytechnic University

Country: Hong Kong

Title: Social Context Modelling and Recognition: Current Work and Future Directions

 

Abstract  

Social context is important to a variety of significant applications such as business intelligence, public security and epidemic. For example, companies can refine the advertisement strategy by targeting the influential people within the social group. Social context modelling and recognition is an emerging research area which aims to infer the information that characterizes multiple users such as social tie and group behaviors. Recently, new opportunities are opened up to obtain social context due to the unprecedented growth of the adoption of sensor-rich smart phones, the large scale deployment of a variety of sensor networks and the popularity of social network services. Those ambient physical and cyber sensors are able to collect users’ large amount of digital traces, from which users’ social context can be inferred. However, it also raises many new challenges due to the complexity and heterogeneity of the underlying platforms as well as the unique feature of multiple-user context. In this talk, I will introduce the recent advances in social context modelling and recognition. I will highlight key issues and discuss the opportunities that social context modelling and recognition may bring and future research directions. Finally, I will briefly describe our recent work on social context modelling and recognition.

Dr. Cao is currently a chair professor and head of the Department of Computing at Hong Kong Polytechnic University, Hung Hom, Hong Kong. His research interests include parallel and distributed computing, wireless networks and mobile computing, big data and cloud computing, pervasive computing, and fault tolerant computing.. He has co-authored 3 books, co-edited 9 books, and published over 300 papers in major international journals and conference proceedings. He is a fellow of IEEE, a senior member of China Computer Federation, and a member of ACM. He was the Chair of the Technical Committee on Distributed Computing of IEEE Computer Society from 2012 - 2014. Dr. Cao has served as an associate editor and a member of the editorial boards of many international journals, including ACM Transactions on Sensor Networks, IEEE Transacitons on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Networks, Pervasive and Mobile Computing Journal, and Peer-to-Peer Networking and Applications. He has also served as a chair and member of organizing / program committees for many international conferences, including PERCOM, INFOCOM, ICDCS, IPDPS, ICPP, RTSS, DSN, ICNP, SRDS, MASS, PRDC, ICC, GLOBECOM, and WCNC. Dr. Cao received the BSc degree in computer science from Nanjing University, Nanjing, China, and the MSc and the Ph.D degrees in computer science from Washington State University, Pullman, WA, USA.