Time:15:00, December 21, 2019 (Saturday)

Location:The fifth conference room, buildingA,Feicuihu Campusscience and education building

Speaker:ProfessorQiang Tang

From:New Jersey Institute of Technology

Organizer:School of Mathematics

Lecturer introduce:About the reporter:

Qiang Tangis a lifelong professor and doctoral director of New Jersey Institute of technology and director of the blockchain Joint Laboratory of Jingdong Group New Jersey Institute of Technology Chinese Academy of Sciences. He was selected as 35 people under the age of 35 in the 2019 MIT Technology Review in China and won the 2019 Google Professor Research Award. Prior to joining New Jersey tech, he was a postdoctoral fellow at the cryptocurrency and contracts Center (IC3) at Cornell University. ProfessorQiang Tanggraduated from the school of mathematics, Hefei University of technology in 2006 with a bachelor's degree in information and computing science.

Qiang Tang's main research interests are cryptography and blockchain. His research results are mostly published in top conferences in cryptography, security, distributed systems and other fields. His research is supported by the US nature foundation, the US Department of energy, the US Air Force Research Institute, Google Group, Jingdong group, as well as a number of famous blockchain foundations and New Jersey salary management.Qiang Tangwas invited to be a member and chairman of several top conference procedure committees, an academic representative of the New Jersey government's blockchain policy, and a policy consultant of the federal government. At the same time, he was also invited many times to be an expert in scientific research projects and key laboratory assessment in the United States, Canada, mainland China and Hong Kong. He is also the founding co chair of block chain special committee of IEEE SMC Association.

Description:I will briefly survey some of our progress resolving the grand challenges of blockchain technology before its large scale applications. Along the way, I will reveal the implicit assumptions made in many cases, and correct several oversimplified or even misleading statements.