About me

Welcome! I am currently working as the Postdoctoral Fellow in Hong Kong Center for Construction Robotics, the Hong Kong University of Science and Technology. I obtained my Ph.D. degree in mechanical and aerospace engineering with the school of mechanical and aerospace engineering, Oklahoma State University, advised by associate professor Dr.He Bai. I received the B.E. degree in Automation from Southwest University of Science and Technology, Mianyang, Sichuan, China in 2019. My research includes navigation, localization, perception, control and sensor/data fusion of unmanned aerial vehicles (UAV)/Robotics. I have 7+ years of C++/MATLAB/Python/ROS programming and hands-on experience in UAV/Robotics. Besides, I am able to use various machine learning methods to solve engineering problems.

Skills

• Algorithm:
  • Navigation/Localization /Perception algorithms: Bayesian estimation, Bayesian smoothing, distributed estimation, KF, EKF, Multiplicative EKF (MEKF), invariant EKF (IEKF), SLAM
  • Control algorithms: PID, LQR, MPC, nonlinear controller, adaptive controller, optimal controller
  • Machine Learning algorithms: linear/logistic regression, DNN, CNN, RNN, LSTM
• Knowledge Framework:
  • System theory: system dynamics, linear system, nonlinear system, digital system, stochastic system, multi-agent system, system identification
  • Control theory: classical control, modern control, nonlinear control, adaptive control, optimal control
  • Other theory: Bayesian analyze, mathematical statistics, machine learning, robotics
• Programming: MATLAB, Python, C++, C, and R
• Simulation & Tool: Simulink, ROS, Gazebo, Git
• Embedded system: Arduino/STM32/Raspberry Pi
• Language: English (fluent), Mandarin (native)