Biography

PhD student

Research activity focuses on intelligent and resilient power distribution systems, smart grids, digitalization, edge computing, state estimation, voltage regulation, and optimization techniques for modern low- and medium-voltage active distribution networks.
Research interest modern power distribution systems and the role of digital technologies in enabling intelligent, reliable, and resilient low- and medium-voltage networks. This is an increasingly important challenge as power grids integrate renewable generation, distributed resources, and advanced automation.

His work integrates power flow analysis, distribution system modelling, state estimation, voltage regulation, edge computing, and advanced protection strategies for active distribution networks. He develops data-driven and optimization-based methods for applications such as optimal phase allocation, GIS-based network planning, feeder routing, and substation sizing and siting. His approach leverages machine learning, genetic algorithms, particle swarm optimization, and simulation tools including Python, MATLAB, QGIS, and pandapower.

He conducts his research in collaboration with industrial and research partners including A2A, Unareti, RSE, and Minsait Indra, addressing practical challenges in distribution system planning, operation, automation, resilience, and protection.

At the University of Pavia, he also serves as a teaching tutor for the graduate courses “Planning and Operation of Power Systems” and “Systems and Technologies for the Smart Grid.” His broader goal is to bridge academic research and real-world grid operation, contributing to the development of next-generation distribution infrastructure for the energy transition.

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