Dr. Shaban Alan develops uncertainty-aware frameworks for diagnostics, prognostics, and decision-making in engineering systems. Her research focuses on prognostic health management (PHM), integrating mechanics with data-driven and probabilistic modeling approaches. She works on Bayesian model updating to create dynamically evolving digital representations of physical systems, and on stochastic damage evolution models to predict remaining useful life with quantified uncertainty. Her work also explores passive control strategies for enhancing system resilience and extending service life, while combining experimental and computational approaches to deliver reliable assessment of mechanical systems where safety, reliability, and predictive maintenance are essential.
