A Comparison Study of Machine Learning Enabled Filtering Methods for Battery Management. - Sara Kohtz; Pingfeng Wang (ICPHM, 2020)

Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges. - Yanwen Xu; Sara Kohtz; Jessica Boakye; Paolo Gardoni; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2023)

Optimal sensor placement for permanent magnet synchronous motor condition monitoring using a digital twin-assisted fault diagnosis approach. - Sara Kohtz; Junhan Zhao; Anabel Renteria; Anand Lalwani; Yanwen Xu; Xiaolong Zhang; Kiruba Sivasubramaniam Haran; Debbie G. Senesky; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2024)

An Enhanced Feature Engineering and Stacking Ensemble Framework for Remaining Useful Life Prediction. - Shoog Nimri; Sara Kohtz (ICPHM, 2025)

Partial discharge diagnosis in electric motor with digital twin model-enhanced ensemble learning. - Sara Kohtz; Anabel Renteria; Aaron Rodriguez; Anand Lalwani; Anjana M. Samarakoon; Kiruba Sivasubramaniam Haran; Debbie G. Senesky; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2025)