معرفی
Stefano Guglielmo Savio is an Associate Professor at the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) of the University of Genoa, where he also serves as Department Quality Assurance Manager. His teaching portfolio includes Electric Machines, Reliability and Safety of Systems, and Methods for Predicting Dependability of Industrial Systems for Electrical Engineering programs.
His research integrates control theory, machine learning, and industrial applications across electrical and marine engineering domains. Key focus areas include health-aware control systems for hybrid powertrains, predictive maintenance using deep learning, digital twin development for ship performance monitoring, and reliability engineering for industrial systems. His work bridges theoretical advances with practical solutions for automotive and maritime sectors.
Recent publications demonstrate strong interdisciplinary trends combining power electronics with AI-driven approaches, particularly in hybrid vehicle dynamics optimization, vessel motion forecasting during extreme weather, and condition monitoring of electrical machinery. His 2024 studies on health-aware control strategies and DC-DC converter dynamics highlight significant contributions to extending powertrain lifecycles and improving transient response in hybrid systems.
