Shen received her Ph.D. degree from the University of Minnesota (UMN) in 2019. She was a finalist for the Best Student Paper Award at the 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, and the 2017 Asilomar Conference on Signals, Systems, and Computers. She was selected as a Rising Star in EECS by Stanford University in 2017, and received the UMN Doctoral Dissertation Fellowship in 2018. Her research interests span the areas of machine learning, network science, data science and statistical-signal processing.
Ph.D., University of Minnesota
Machine learning, data science, network science and statistical-signal processing