Birthplace: Jinhua, Zhejiang Province, Nationality: Han, date of birth: January 8, 1965, PhD, professor, graduate advisor

September, 1979 to July, 1983: Automation in Chemical Engineering, Department of Chemical Engineering, Zhejiang University (Undergraduate)

August, 1983 to August, 1986: Southeastern Institute of Physics (No. 585 Institute of the former Ministry of Nuclear Industry of the P.R.C.) (Assistant Engineer)

September, 1986 to June, 1989: University of Electronic Science and Technology of China (the former Chengdu Institute of Radio Engineering) (Master)

July, 1989 to February, 1993: Southeastern Institute of Physics (No. 585 Institute of the former Ministry of Nuclear Industry of the P.R.C.) (Engineer)

March, 1993 to February, 1997: The Institute of Industrial Control Technology of Zhejiang University (PhD)

March, 1997 to May, 2005: Department of Automation, College of Electrical Engineering and Information Technology, Sichuan University. (Associate Professor)

From June, 2005 till now:  Department of Automation, College of Electrical Engineering and Information Technology, Sichuan University. (Professor)

Main Areas of Research:

Control theory and control engineering, (radio) frequency spectrum monitoring and cognitive radio, (radio) frequency spectrum information safety

Frequency spectrum monitoring and cognitive radio (brief introduction)

Mainly focus on the research of corresponding technologies related to radio monitoring and positioning of aerial radio signals, interference signal analysis and cognitive radio, etc., as well as development of corresponding software, hardware equipment and products.

As an important measure to perform effective radio management and an important branch of radio frequency spectrum management, the radio monitoring stands for the activities like the detection, search and interception of radio signals in the radio management area, as well as the analysis, identification, monitoring and acquisition of technical information like technical parameter, operating characteristics and radiation location, etc.

Also known as “smart radio”, the cognitive radio (CR) is featured with its flexibility, smartness and reconfiguration. By perceiving the external environment, CR could learn from the environment and intentionally perform real-time modification upon certain operating parameter (such as transmission power, carrier power and modulation technique, etc.) with the assistance of AI smart technologies, so that the internal condition of CR could adapt to the statistic change of the radio signals received, and realize the highly reliable communication anytime and anywhere, and efficient utilization of limited radio frequency spectrum of the heterogeneous network environment. The core concept of CR is to realize DSA (dynamic spectrum allocation) and spectrum sharing through spectrum sensing and systematic smart learning capability.