Keynote 1: Social Context Modelling and Recognition: Current Work and Future Directions
Prof. Jiannong Cao
Hong Kong Polytechnic University, Hong Kong, China
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 modeling 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 modeling and recognition. I will highlight key issues and discuss the opportunities that social context modeling and recognition may bring and future research directions. Finally, I will briefly describe our recent work on social context modeling and recognition.
Biography: 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, computer networks, mobile and pervasive computing, fault tolerance, and middleware. 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.
Keynote 2: Mobile Crowd Sensing: Problems and Explorations
Prof. Huadong Ma
Beijing University of Posts and Telecommunications (BUPT), China
Abstract: As a new collaborative sensing mode in the Internet of Things, mobile crowd sensing has been widely considered as the efficient way for sensing the urban environments and providing many potential smart services. In this talk, we first introduce the concept and features of mobile crowd sensing, and analyze the scientific problems in mobile crowd sensing. Combing our works, we present some recent progresses on sensing quality measure in temporal/spatial dimensions, opportunistic routing of data forwarding, incentive mechanism for user participation and typical applications. Finally, we discuss some trends and challenges in mobile crowd sensing as well as IoT area.
Biography: Dr. Huadong Ma is a Chang Jiang Scholar Professor and Executive Dean, School of Computer Science, Beijing University of Posts and Telecommunications (BUPT), China. He is also Director of Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, BUPT. He is Chief Scientist of the project “Basic Research on the Architecture of Internet of Things” supported by the National 973 Program of China from 2010 to 2013. He received his PhD degree in Computer Science from the Institute of Computing Technology, Chinese Academy of Science in 1995. From 1999 to 2000, he held a visiting position in the Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, USA. He was a visiting Professor at The University of Texas at Arlington from July to September 2004, and a visiting Professor at Hong Kong University of Science and Technology from Dec. 2006 to Feb. 2007. His current research focuses on multimedia computing, sensor networks and Internet of things, and he has published over 200 papers in journals (such as ACM/IEEE Transactions) or Conferences (such as IEEE INFOCOM, ACM MM) and 4 books on these fields. He was awarded National Funds for Distinguished Young Scientists in 2009.