Fanyu Qi
PhD Student
Research focuses on physics-informed machine learning for intelligent equipment diagnostics: encoding physical topology priors such as bond graphs into network architectures, combined with Bayesian deep learning for fault diagnosis, root-cause tracing, and uncertainty quantification.
Research Areas
Physics-Informed Machine Learning Bayesian Deep Learning Fault Diagnosis and PHM