Cao Jiannong

Cao Jiannong is currently a Chair Professor and Director of the University Research Facility in Big Data Analytics at Hong Kong Polytechnic University. He has held academic roles including Assistant Professor at City University of Hong Kong and University Lecturer at the University of Adelaide and James Cook University. His research spans Cloud and Edge Computing, Parallel and Distributed Systems, Big Data Analytics, and Wireless Sensing.

• Ph.D. in Computer Science, Washington State University (1990)
• MSc in Computer Science, Washington State University (1986)
• BSc in Computer Science, Nanjing University, China (1982)

His work focuses on solving theoretical and practical challenges in distributed computing, mobile cloud systems, and wireless sensor networks. Recent projects include coupled network embedding models for heterogeneous networks and SDN architectures for vehicular communication. His research also pioneers WiFi-based non-invasive health monitoring and fault-tolerant sensor deployment for structural health applications.

Dr. Cao's publications highlight advancements in network embedding, edge computing, and WSN optimization. Key papers address multi-user computation partitioning, energy-efficient SHM systems, and consensus protocols for mobile networks. These works have been cited over 15,000 times, with an h-index of 60.

• Ministry of Education (China) Natural Science Award (2018)
• Distinguished Member, ACM (2017)
• Fellow, IEEE (2014)
• Best Paper Awards at IEEE DSAA, SMARTCOMP, and WCNC

Dr. Cao has advised multiple PhD students, including Linchuan Xu and Weigang Wu, whose research on WSN-based SHM and coupled network embedding has practical impact. His leadership includes directing Hong Kong Polytechnic University's Big Data Research Facility and serving on technical committees for IEEE INFOCOM and ACM/IEEE conferences.