Автор: Rongfang Bie

Xiaodan Tang is currently a senior engineer at China Electronics Standardization Institute (CESI). She received her Ph.D degree in June 2012 from Institute of Physics, Chinese Academy of Sciences, and BS degree in Nankai University in June 2003. She was an industrial researcher at China Shipbuilding Industry Corporation in 2014-2016. She led and participated in more than 10 reports and books. She is the editor of ISO/TR 6277 Data flow model for blockchain and DLT use cases. Her current research interests include applications, public policies and standardization of blockchain and quantum information.  Xiaotie Deng got his BSc from Tsinghua University, MSc from Chinese Academy of Sciences, and Ph D from Stanford University in 1989. He is currently a chair professor at Peking University. He taught in the past at Shanghai Jiaotong University, University of Liverpool, City University of Hong Kong, and York University. Before that, he was an NSERC international fellowat Simon Fraser University. Deng”s current research focuses on algorithmic game theory, with applications to Internet Economics and Finance including sponsored search auction, p2p network’s economics such as Bit Torrent network, sharing economics, and blockchain. He is a foreign member of Academia Europaea, an ACM fellow for his contribution to the interface of algorithms and game theory, and an IEEE Fellow for his contributions to computing in partial information and interactive environments. He is the founding director of CSIAM Activity Group on Blockchain.  Dr. Rongfang BIE is currently a Professor at the School of Artificial Intelligence of Beijing Normal University where She received her M.S. degree on June 1993 and Ph.D degree on June 1996. She was with the Computer Laboratory at the University of Cambridge as a visiting faculty from March 2003 for one year. She is the author or co-author of more than 100 papers. Her current research interests include blockchain technology, knowledge representation and acquisition for the Internet of Things, dynamic spectrum allocation, big data analysis and application etc.