Aerospace Simulation and Human Factors Researcher
I study flight safety, pilot cognition, and high-fidelity simulation for safer decisions in complex aviation systems.
Led the architecture and core algorithm development of a high-fidelity aircraft dynamics simulation model, integrated multi-source alerting logic, and evaluated system behavior across operational boundary conditions.
Developed a Bayesian-network model for predicting pilot consciousness degradation using accident evidence, expert elicitation, and multiple human-performance indicators.
Designed an auditory-visual integrated alert strategy based on CREAM theory and the PDA framework, then verified the Python alert logic in DCS World with over 90% accuracy.
Built a Simpole and FPGA joint simulation platform for parallel aircraft power-system models, conducted system-level integration, and developed test cases with 95% coverage.
System Simulation Engineer
Integration and Verification Engineer
M.Sc. in Energy and Power Engineering
B.Eng. in Aircraft Manufacturing Engineering
Man-Machine-Environment System Engineering, Springer, 2024
Composites Science and Technology, 2021
Patent No. ZL 202410345666.4