Xusen Qin

Doctoral candidate at the Electromechanics Lab. Research focuses on the development of finite element formulations and their implementations, machine learning techniques, and data-driven analysis methods to identify material properties with complex magnetic structures and geometries. Experienced in deep learning and numerical methods for data-driven modeling. Master thesis focused on Bayesian inference and network pruning to solve catastrophic forgetting in neural networks.