Dr Yunpeng Zhu


Research Overview

Physically interpretable machine learning, Data-driven science, Nonlinear dynamics, System identification, Complex systems analysis and design, Predictive maintenance, Vibration isolation and control, Energy harvesting


My research interests are in Data-driven science, physically interpretable machine learning, and their applications to dynamical systems in several key areas:  Nonlinear dynamics; System identification; Complex systems analysis and design; System condition monitoring; Predictive maintenance; Vibration isolation and control; Energy harvesting, etc., as well as their engineering applications across a variety of disciplines.