Muyao Li

My first master thesis explored the transverse isotropic property of 3D printed stainless steel by performing a set of numerical simulations. In my second master thesis, I developed a Deep Learning model which is able to generate music based on input artwork images, using the emotion as the link between input and output. My research interest lies in AI techniques in structural damage identification and 3D printed metallic material. In my current PhD project, the objective is to develop an AI based structrual health monitoring system for wind trubine blades, providing a more efficient result of damage diagnosis and prognosis.