Mohamed A. Shabara

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About

Mohamed A. Shabara’s research lies at the intersection of piezoelectric materials, energy harvesting, and artificial intelligence systems. His most-cited work, “Comprehensive Piezoelectric Material Application Issues on Energy Harvesting for Artificial Intelligence Systems” (2020), critically examines the challenges of integrating piezoelectric energy harvesters into AI-driven hardware—addressing material fatigue, power conversion efficiency, and system-level compatibility. This contribution is pivotal for enabling self-powered sensors and actuators in autonomous systems, reducing reliance on batteries. With 7 citations, the paper has become a reference point for researchers exploring sustainable energy solutions in AI applications. Shabara’s work underscores the practical hurdles in bridging material science with intelligent system design, offering a roadmap for future innovations in low-power, autonomous devices. His research highlights the growing need for interdisciplinary approaches to power the next generation of AI hardware.