Meisam Tabatabaei

Papers

Total Citations

114

H-Index

About

Meisam Tabatabaei is a pioneering researcher at the intersection of energy harvesting, self-powered systems, and machine learning. His most-cited work, "Self-powered sensing systems with learning capability" (2022), has garnered 114 citations, marking a significant contribution to the development of intelligent, autonomous sensors that operate without external power sources. Tabatabaei's research focuses on integrating energy harvesting technologies with adaptive learning algorithms, enabling devices to not only sustain themselves but also to process and respond to environmental data in real time. This work has profound implications for the Internet of Things (IoT), wearable electronics, and remote monitoring systems, where battery replacement is impractical. By bridging the gap between energy autonomy and computational intelligence, Tabatabaei is advancing the next generation of smart, sustainable sensing platforms. His achievements highlight a visionary approach to solving critical challenges in energy efficiency and system autonomy, making his research highly influential in both academic and applied engineering contexts.