Degree Earned: Ph. D. in Electrical and Computer Engineering
Research Interests: Safety Diagnostics, Digital Twin Surrogate Modeling, Ensemble Machine Learning, Software Development, Forward and Inverse UQ, Software reliability
Brief Bio:
Edward earned his Ph. D. in Electrical and Computer engineering while working under Dr. Nam Dinh. His research primarily focused on developing autonomous diagnostic digital twins for a nuclear control system. He also worked on forward and inverse UQ as well as software reliability of those ML models. Previously, Edward graduated from the University of Calgary with a degree in electrical and computer engineering. Prior to joining Dr. Dinh’s research group, he was a research assistant at the Hotchkiss Brain Institute developing predictive models for stroke patient severity.
