Prof. Jiannong Cao
The Hong Kong Polytechnic University

About: Dr. Cao is currently a Chair Professor of Department of Computing at The Hong Kong Polytechnic University, Hong Kong. He is also the director of the Internet and Mobile Computing Lab in the department and the director of University’s Research Facility in Big Data Analytics. His research interests include parallel and distributed computing, wireless sensing and networks, pervasive and mobile computing, and big data and cloud computing. He has co-authored 5 books, co-edited 9 books, and published over 500 papers in major international journals and conference proceedings. He received Best Paper Awards from conferences including DSAA’2017, IEEE SMARTCOMP 2016, ISPA 2013, IEEE WCNC 2011, etc.

He served the Chair of the Technical Committee on Distributed Computing of IEEE Computer Society 2012-2014, a member of IEEE Fellows Evaluation Committee of the Computer Society and the Reliability Society, a member of IEEE Computer Society Education Awards Selection Committee, a member of IEEE Communications Society Awards Committee, and a member of Steering Committee of IEEE Transactions on Mobile Computing. Dr. Cao has served as chairs and members of organizing and technical committees of many international conferences, and as associate editor and member of the editorial boards of many international journals. Dr. Cao is a fellow of IEEE and ACM distinguished member. In 2017, he received the Overseas Outstanding Contribution Award from China Computer Federation.

Title: When IoT Meets Big Data

Abstract: As the Internet becomes increasingly ubiquitous, it is evolving into the medium for connecting objects that are embedded in the physical world. The coupling between such objects and a worldwide standard-based communication infrastructure constitutes the Internet of Things (IoT) and is characterized by machine-to-machine (M2M) communications. IoT has many applications including smart cities, logistics, industrial control and healthcare. Currently, IoT technologies still largely focus on the networking aspect of connecting and controlling the things. As the IoT continues to develop, further potential can be realized by a combination with related technology approaches such as Cloud computing, Big Data, and AI. In this talk, I will describe the evolution of IoT from instrumentation and interconnection to intelligence and summarize our research in the past years along this direction towards smart IoT. Smart IoT will facilitate a sustainable platform empowering advanced applications. I will focus on the current challenges and future development of smart IoT that adds intelligence to IoT leveraging big data analytics and edge computing.