Biography

Academic PhD Student

He received his B.Sc. in Electrical and Electronic Engineering from the American International University–Bangladesh and subsequently earned a Master's Degree in Electrical Engineering from the University of Pavia, graduating with honors (110/110). He is currently pursuing a Ph.D. in Electrical Engineering at the University of Pavia.

His research focuses on modern power distribution systems and the role of digital technologies in enabling intelligent, reliable, and resilient low- and medium-voltage networks. This area is becoming increasingly important as power grids integrate renewable energy sources, distributed energy resources, and advanced automation technologies.

His work addresses a wide range of topics, including smart grids, digitalization, edge computing, state estimation, voltage regulation, and optimization techniques for active distribution networks. He develops data-driven and optimization-based approaches for applications such as optimal phase allocation, GIS-based network planning, feeder routing, and substation sizing and siting. His research makes use of machine learning techniques, genetic algorithms, particle swarm optimization, and advanced simulation environments, including Python, MATLAB, QGIS, and pandapower.

He actively collaborates with industrial and research partners, including A2A, Unareti, RSE, and Minsait Indra, contributing to projects related to distribution system planning, operation, automation, resilience, and protection.

In addition to his research activities, he serves as a teaching tutor for the graduate courses Planning and Operation of Power Systems and Systems and Technologies for the Smart Grid at the University of Pavia. His work aims to bridge academic research and real-world power system operation, supporting the development of next-generation distribution infrastructures for the energy transition.

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