Research 

The aim of my research is to advance the understanding of complicated vibration phenomena and improve vibration prediction of these systems involving different nonlinearities and uncertainties. The aim is to shift the conventional paradigm from deterministic, linear, and single-scale aerospace system design to robust, nonlinear design, and multi-scale design to expand further the feasible design space and tolerable operational conditions of intelligent aerospace systems, leading to more resilient, and sustainable aviation future. The current focus of my research will be (1) the development of efficient computational methods to predict static and dynamic responses of complex nonlinear aerospace structures including bucking, vibration, and aeroelasticity; (2) the development of a multiscale-based modelling framework of complex lightweight materials including advanced composites and metamaterials to model and control the dynamical response. The framework can help to develop a new type of aerospace materials to improve the efficiency, resistance, and sustainability of aerospace systems. (3) Development of uncertainty quantification framework to quantify the uncertainties and their influence in complex aerospace systems including multi-scale UQ, robust optimization, data-driven models and stochastic model updating. The UQ framework can also be used for real-time structural health monitoring problems.

Current PhD students