🛠️ Skills

  • MATLAB: Muscle electromyography (EMG) data processing, dynamics simulation of mechanical structures
  • Python: Machine learning, PyTorch/TensorFlow-based deep learning, machine vision
  • C++: High-performance mechanical simulation, 2D/3D finite element implementation for beam structures
  • Mechanical Analysis Software: ABAQUS, Ansys, Fluent, Adams
  • Auxiliary Research Skills: ROS2, Isaac Gym, LaTeX, Ubuntu, Git, Solidworks, EMGLab, QT, PyGame

📚 Seleted Courses

Graduate Courses:

  • Modern Control Theory – 94 (4,0)
  • Advanced Robotics Control – 92 (4,0)
  • Probability Theory and Mathematical Statistics – 96 (4,0)

Undergraduate Courses:

  • Physics(Honor) – 100 (4.3)
  • Advanced Dynamics – 100 (4.3)
  • Numerical Methods and Programming – 98 (4.3)
  • Fluid Mechanics – 98 (4.3)
  • Computational Solid Mechanics – 98 (4.3)
  • Theoretical Mechanics(Honor) – 97 (4.3)
  • Elasticity Theory – 97 (4.3)
  • C++ Programming and Design – 95 (4.3)
  • Automatic Control Theory – 95 (4.3)
  • Humanoid Robotics and Artificial Intelligence – 94 (4.0)
  • Machine Learning – 94 (4.0)
  • Data Structures(Honor) (Yuyong Class) – 92 (4.0)

👨‍🏫 Teaching

  • Teaching Assistant: (STAT6001H) Probability Theory and Mathematical Statistics(Honor), 2022 Spring
  • Teaching Assistant: (CS0501-02) Data Structures, 2023 Fall
  • Teaching Assistant: (CS0501H-02) Data Structures(Honor), 2023 Spring
  • Teaching Assistant: (CS1652-01) Data Structures(AI), 2024 Spring

🌍 Languages

  • Languages: English and Chinese
  • IELTS: 7.0 = Reading 9.0 + Listening 7.5 + Speaking 5.5 + Writing 6.0