• Designed aircraft electrical transmission flight control law and used Matlab/Simulink to carry out aircraft trim simulation, more than 10k aerodynamic data analysis and architecture optimisation.• Sorted out the development of flight control PID algorithms and the tracking of leading technologies in aerodynamic design, accomplished over 90% of autonomous flight manual visual processing and demonstrated expertise in utilising the C919 model. • Developed the autonomous flight control law and artificial intelligence analysis algorithm based on machine vision and convolutional neural networks (CNN).

• Leveraged algorithms such as A* for autonomous driving obstacle avoidance, achieving efficient path planning functionality and validating system robustness and feasibility.• Implemented the Naive Bayes algorithm using Python, accomplishing requirement analysis, and detailed product architecture.• Enhanced work efficiency and accuracy by approximately 30% by utilising convolutional neural networks and neural vision for text image classification.

Become a engineering volunteer and tutor per week to give a young person the opportunity to reach their full potential.

Monitored and supervised the student teams on the programme and track the project progress.• Worked with Bristol Hub manager to distribute and analysed questionnaires and conduct case studies.• Collected feedback and organised events that were run by Students to Inspire.

• Trailblazed off-campus resources docking and commercial recruitment promotion.• Organised a charity fundraising effort with sports club colleagues, contacted other faculty associations to participate in the event, and contacted numerous campus self-publishers to advertise the event.• Facilitated ground promotion and publicity on campus, with 2000+ participants and 10k+ profit, all donated to charity organisations.

• Led the group of four other team members to innovate a yet-to-be-invented flight vehicle simulation software suite.• Created a suite of aviation vehicle simulation tools for designing and testing complicated structures in a flexible environment. • Achieved the UN 17 Sustainable Development Goals and commercially leveraged corporate opportunities through innovative and sustainable ventures.

• According to the production of video positioning requirements, mining the selection of topics, complete the pre-planning, grasp the video style. Tested the catalysts using a rotating disk electrode and compared results to current industrial benchmarks, discovering that catalyst performance was hindered by kinetic and mass transport effects • Participate in the filming of regular programs, features and aerial photography. Responsible for the pre-interview shooting of the daily news programs of the station.

• Combine aerospace knowledge and programming modeling applications to stimulate students' desire to explore. • Actively communicate with parents in a timely manner, write student growth reports, and conduct instructional results presentations. • Responsible for running a student community and following up on teaching results.