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    Abolfazl Najar (he/him/his)

    University of Georgia

    I received the B.S. degree in Electrical Engineering from Ferdowsi University of Mashhad, Iran, in 2019, and the M.S. degree in Electrical Engineering–Power Systems from Shahid Beheshti University, Tehran, Iran, in 2021. After gaining three years of industry experience and contributing to several major projects in Iran, I pursued a Ph.D. as a Graduate Research Assistant in the Intelligent Power Electronics and Electric Machines (IPEM) Laboratory at the University of Georgia. My current research focuses on developing deep learning–based methods for power system state estimation and anomaly/fault detection. In parallel, I work on secure real-time IoT and edge-to-cloud pipelines using ESP32, MQTT, InfluxDB, and FastAPI to support reliable monitoring and deployment. My interests include state estimation, protection and reliability, edge deployment, and applying machine learning to improve the intelligence and resilience of modern power systems.

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