In her paper titled "Machine Learning and Digital Twins for RUL Prediction of DC Semiconductor Circuit Breakers", Lena presents a novel approach and base implementation of a digital twin framework to predict remaining useful life (RUL) of power semiconductors in real-time. The prognosis is based on actual device conditions in addition to estimations derived from power cycling tests and numerical degradation models, using machine learning methods.