Awards

Paper “Distributed Noise Covariance Matrices Estimation in Sensor Networks” was nominated as 2020 Roberto Tempo IEEE Best CDC Paper Award in the 2020 59th IEEE Conference on Decision and Control (CDC’2020) on efficient distributed adaptive estimation algorithms for linear time-varying system with unknown noise covariance.
My doctoral thesis “Research on noise adaptive filtering technique in distributed sensor networks” received the Excellent Doctoral Dissertation Award from Chinese Decision and Control Society (in Chinese). This award recognizes excellent thesis research by doctoral candidates in the field of decison-making and control in China; presented annually to up to seven authors.

Won First Prize in 2020 World Intelligent Driving Competition Virtual Simulation Group Competition
Won Second Prize in 2019 World Intelligent Driving Competition Virtual Simulation Group Competition
Won First Prize in 2018 World Intelligent Driving Competition Virtual Simulation Group Competition
Won Third Prize in 2017 China Intelligent Driving Competition

Member, IEEE
Member, Intelligent Cognition Committee, Chinese Association for Artificial Intelligence
Member, Chinese Association for Automation
Member, Beijing Society of Interdisciplinary Sciences
Reviewer, IEEE Transactions on Cybernetics
Reviewer, IEEE Signal Processing Letters
Reviewer, Sensors
Vice-chair, “Interactive cognition in self-driving” workshop of the 12th International Conference on Brain Informatics (BI 2019)
Reporter, The 59th IEEE Conference on Decision and Control (CDC 2020)