Brief introduction of Chen Feng's character

In 1994, he obtained a master's degree in computer application from Hefei University of Technology, studying neural networks and pattern recognition. In 2, he obtained a doctor's degree in signal and information processing from the Department of Electronic Engineering and Information of China University of Science and Technology, and studied multi-agent cooperation problem solving. Since 2, he has been teaching in the Department of Automation, University of Science and Technology of China, with the technical title of associate professor, member of the Youth Working Committee of Chinese Institute of Electronics, member of Anhui Agricultural Informatization Technical Committee, member of Anhui Software Association Intelligent Transportation Professional Committee, and executive director of Hefei Doctor Association. He presided over the national natural science foundation project "Research on dynamic measurement and modeling of nutrient solution components based on sensor agent" and presided over the research and development of the national 863 project "Traffic Simulator Software for Urban Road Intersections" as the main person in charge; Presided over the key projects of "Twelfth Five-Year Plan" and "Eleventh Five-Year Plan" in Anhui Province, the Natural Science Foundation of Anhui Province and the Key Natural Science Foundation of Anhui Provincial Department of Education; He presided over the research and development of Hefei's key scientific research plan project "Multi-parameter intelligent rapid measuring instrument for water quality"; Won the second prize of scientific and technological progress of China Academy of Sciences, five national and provincial-level scientific and technological achievements and three national invention patents; He has published more than 5 papers with the main author in domestic and foreign academic journals or international academic conferences.

The main research areas of interest include: microscopic traffic modeling and parallel simulation, distributed optimal control of signal network, FCD parallel computing and dynamic traffic guidance, wireless sensor network for water environment monitoring, multi-sensor data fusion, artificial intelligence, etc.