Samer Zawaydeh is a researcher specializing in power electronics, renewable energy systems, and intelligent fault diagnosis techniques. His work focuses on enhancing reliability and performance of energy conversion systems using advanced signal processing and machine learning methods. He has authored 22 indexed publications with 30 citations and an h-index of 2, reflecting emerging academic impact . His research includes collaborations across multidisciplinary teams, contributing to innovations in sustainable energy applications and system optimization. His contributions support technological advancement in energy efficiency and promote environmentally responsible engineering solutions with growing global relevance.
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