Biography

Yassine Zaibi is a Ph.D. researcher in Electrical Engineering at the University of Pavia, within the ETLAB – Energy Transition Laboratory and the Department of Electrical, Computer and Biomedical Engineering.

Research activity focuses on smart grids, renewable energy integration, power system resilience, electrical transmission and distribution network operation, machine learning applications for modern power systems, intelligent monitoring and control strategies, grid reliability assessment, protection coordination, and simulation of electrical power systems and photovoltaic integration.

His research focuses on the resilience and operation of modern electrical power systems, with particular emphasis on smart grids, renewable energy integration and intelligent energy infrastructures.

Research interest investigates the behavior of electrical transmission and distribution networks under different operating conditions, including fault scenarios, grid disturbances and high renewable energy penetration. In parallel, he is exploring the application of machine learning and data-driven methodologies to smart grids and modern power systems, focusing on intelligent monitoring, predictive analysis, optimization and advanced control strategies for future energy networks. His research interests also include power system simulation, reliability assessment, protection coordination, and the modelling and simulation of electrical distribution systems, including photovoltaic integration studies.

He received his B.Sc. degree in Electrical and Electronics Engineering from the European University of Lefke, Türkiye, graduating with High Honors, and his M.Sc. degree in Electrical Engineering from the University of Pavia, Italy. During his academic and professional experience, he worked on power system simulation, renewable energy integration, reliability assessment and grid resilience analysis using tools such as ETAP, MATLAB/Simulink and PLECS.

Before joining the Ph.D. program, he gained industrial experience in electrical systems analysis, backup power systems and electrical network studies.

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