Daoliang Li, professor and PhD supervisor, College of Information and Electrical Engineering, China Agricultural University.
The main research direction is aquatic intelligent information processing and agricultural and rural information strategy. Director of the National Innovation Center for Digital Fishery, director of Beijing Engineering and Technology Research Center for Internet of Things in agriculture, deputy chairman of the Agricultural and Rural Information Expert Advisory Committee of the Ministry of Agriculture, executive director of the Chinese Society of Agricultural Engineering, Changjiang Scholar Distinguished Professor. Selected as the leading talents of the Ministry of Science and Technology‘s Ten Thousand Talents Project, in the leading talents of young and middle-aged science and technology innovation project, as outstanding talent in agricultural research, and a new century talent, he is the winner of National Innovation Award, Winner of China Youth Science and Technology Award, National Outstanding Science and Technology Worker, winner of Henry Fok Education Foundation. The current chairman of the Agricultural Information Processing Branch of the International Federation of Information Processing, Editor-in-Chief of Information Processing in Agriculture (Elsevier Journal, EI-indexed), an expert of the National Rural Informatization Steering Group, and the executive director of the China Fisheries Internet of Things and Big Data Industry Technology Innovation Alliance, won the second prize of National Science and Technology Progress Award as the first completion person, 3 first prizes of provincial and ministerial level scientific and technological progress, 74 national invention patents authorized, 7 monographs published, published 128 SCI papers and 158 EI papers as the first author or corresponding author, formulated 4 national standards, and 7 industry and local standards, His research result "Accurate Measurement and Control Technology for Intensive Aquaculture Farming" was selected as one of the top ten scientific and technological advances in China’s smart manufacturing in 2019.