Machine Learning Techniques: Integrating physics to improve machine learning model in accuracy, robustness, and interpretability.

 Nonlinear System Diagnostics: Our work focuses on developing robust hybrid techniques for conditon monitoring of real systems.

 Nonlinear Dynamics: Isn't everything nonlinear? Our work has focused on engineering applications.

 Biomedical Engineering: Biomedical Engineering is the study of procedures that provide information to aid the screening, detection, diagnosis and monitoring of medical problems.

 Transportation Engineering:

 Material Science:

 Previous-work:Modeling, predicting, and diagnosing of nonlinear physical systems by dynamic and vibration analysis.