Zeynab Salehi

I am a Ph.D. candidate in Mechanical Engineering at the University of Alberta, specializing in advanced machine learning models for renewable energy systems. My current research focuses on degradation modelling, state-of-health estimation, and remaining useful life prediction of battery energy storage systems (BESS) and fuel cells, enabling predictive maintenance and health-aware control. I conduct this research under the supervision of Dr. M. Shahbakhti and Dr. C. R. Koch in collaboration with Cummins Inc.

I hold M.Sc. and B.Sc. degrees in Mechatronics and Aerospace Engineering, respectively. During my master’s thesis, I developed real-time dynamic models of internal combustion engines and vehicle dynamics for Hardware-in-the-Loop (HIL) testing and control validation. With this interdisciplinary background, I am motivated to tackle real-world challenges at the intersection of machine learning, modelling, control, diagnostics, prognostics, and sustainable energy systems.