1st Keynote Speaker

Prof. Ruqian Lu

Chinese Academy of Sciences, China


Title: Next to Big Data is Big Knowledge

Abstract: Recently, the topic of mining big data to obtain knowledge (called big data knowledge engineering) has become hot interest of researchers. Also the concept of big knowledge was coined in this process. The new challenge was to mine big knowledge (not just knowledge) from big data. While researchers have explored the basic characteristics of big data in the past, it seems that very few or even no researcher has tried to approach the task of defining or summarizing the basic characteristics of big knowledge. This talk will first provide a retrospective view on the research of big data knowledge engineering and then introduce formally a big knowledge model with five major characteristics, both qualitatively and quantitatively. Using these characteristics we investigate six large scaled knowledge engineering projects: the Shanghai project of fifth comprehensive investigation on city's traffic, the Xia-Shang-Zhou chronology project, the Troy city and Trojan War excavation project, the international human genome project, the Wiki-world project and the currently very hot research on knowledge graphs. We show that the knowledge collected by some of them is worth to be called big-knowledge but some aren't. Based on these discussions, a further model of big-knowledge system will be introduced with additional five characteristics. In the summary of the talk we will mention shortly an implementation of the big-knowledge model – the big knowledge graphs, and one of the big knowledge system model – the big knowledge support platform HAPE. At last, a list of future research problems on big knowledge is proposed.

Bio: Ruqian Lu is a professor of computer science of the Institute of Mathematics, Academy of Mathematics and Systems Science, at the same time an adjunct professor of Institute of Computing Technology, Chinese Academy of Sciences and Peking University. He is also a fellow of Chinese Academy of Sciences. His research interests include artificial intelligence, knowledge engineering, knowledge based software engineering, formal semantics of programming languages and quantum information processing. He has published more than 180 papers and 10 books. He has won two first class awards from the Chinese Academy of Sciences and a National second class prize from the Ministry of Science and Technology. He has also won the 2003 Hua Loo-keng Mathematics Prize from the Chinese Mathematics Society and the 2014 lifetime achievements award from the China's Computer Federation.

2nd Keynote Speaker

Prof. Xiuzhen Cheng

Shandong University, China

IEEE Fellow

Title: Blockchain-Enabled High-Confidence IoT for Smart X

Abstract: This talk presents a blockchain-enabled high-confidence IoT architecture to support various smart systems such as smart transportations and smart grids. This architecture relies on blockchain to provide a trustworthy environment for IoT data analysis to make IoT systems secure, reliable, accountable, adaptive, and self-evolving. We intend to answer two critical questions: how to integrate blockchain with IoT and how to extend trust from on-chain to off-chain to support trustable IoT applications. For the first question, we developed BLOWN and wChain, two blockchain systems respectively for single- and multi-hop wireless communications taking into consideration the channel dynamicity caused by adversarial jamming and physical environments. We also proposed CloudChain to take advantage of the benefits brought by shared memory and remote direct memory access in clouds. To extend trust from on-chain to off-chain, we proposed a coin-based accountable IoT access procedure control scheme to make blockchain control the real world in a fine-grained and trustworthy way, and a TEE-based trusted data collecting system to gather off-chain ground truth onto the chain. An in-home cargo delivery case study was developed to demonstrate our design. Finally, we talk about open research challenges to enable high-confidence IoT for Smart X.

Bio: Xiuzhen Cheng received her MS and PhD degrees in computer science from the University of Minnesota -- Twin Cities, in 2000 and 2002, respectively. She was a faculty member at the Department of Computer Science, The George Washington University, Washington DC, from September 2002 to August 2020. Currently she is a professor in School of Computer Science and Technology, Shandong University, China. Her research focuses on blockchain computing, intelligent Internet of Things, and wireless and mobile security. She is the founder and steering committee chair of the International Conference on Wireless Algorithms, Systems, and Applications (WASA, launched in 2006); she launched the SDU-Elsevier High-Confidence Computing Journal. She served/is serving on the editorial boards of several technical journals (e.g. IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Wireless Communications, IEEE Wireless Communications Magazine) and the technical program committees of many professional conferences/workshops (e.g. ACM Mobihoc, ACM Mobisys, IEEE INFOCOM, IEEE ICDCS, IEEE ICC, IEEE/ACM IWQoS). She also chaired several international conferences (e.g. ACM Mobihoc'14, IEEE PAC'18). Xiuzhen is a Fellow of IEEE.









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