Dong Ligang, male, born in Shaoxing, Zhejiang Province in July 1973, is a doctoral supervisor, discipline leader of universities in Zhejiang Province, the second level of Talent Engineering in Zhejiang Province, executive director of Zhejiang communication society, director of Zhejiang computer society, director of Hangzhou artificial intelligence society, and senior member of China Electronics Society. In 1995 and 1998, he obtained bachelor's degree and master's degree respectively from Zhejiang University (mixed class for top students), and in 2003, he obtained doctor's degree in computer engineering from National University of Singapore. He is now the vice dean of the school of information and Electronic Engineering (Sussex AI Institute) of Zhejiang Gongshang University. His research area is mainly big data, artificial intelligence and their applications in network and education fields. He presided over one national 863 program, two National Natural Science Foundation projects and two major scientific research projects in Zhejiang Province. Long term research on the new generation network has submitted 4 draft internet protocol, one of which have been approved to become the Internet standard (RFC5810), and one of the earliest Internet international standards in Chinese mainland. 29 invention patents have been authorized, more than 50 SCI and EI papers have been published, and 2 monographs have been published. It won the first prize of the provincial technological invention, the second prize of the Ministry of education and the first prize of the provincial excellent scientific research achievements.

The following are current research topics:

1) Natural language processing by using artificial intelligence technology is used to solve the problems of automatic question generation, automatic question answering and text proofreading, which is of great significance to intelligent education.

2) Using artificial intelligence technology to study video processing, analyze the quality of live broadcast of anchor or the teaching level of online teachers, and help improve online performance.

3) The network traffic is analyzed by artificial intelligence technology to realize centralized and automatic network configuration. Different management strategies are adopted for different users automatically and more intelligent protection against external attacks is adopted.