Dr Wenjuan Song

About

Dr. Wenjuan Song is a Lecturer/Assistant Professor at the University of Glasgow, UK. She specializes in advanced topics related to superconducting materials, predictive modeling, and neural network applications in electrical engineering. Her recent research includes enhancing predictive modeling techniques for high-temperature superconductors and investigating the performance of superconducting fault current limiters. Dr. Song's work contributes significantly to the understanding of AC losses and efficiency in high voltage systems.