Abolfazl Mehbodniya
Papers
3
Total Citations
67
H-Index
3
About
Abolfazl Mehbodniya is a leading researcher at the intersection of the Internet of Things (IoT), wireless communications, and artificial intelligence. His work focuses on solving critical challenges in network efficiency, security, and human–machine interaction. He is best known for pioneering energy-aware routing protocols that integrate fuzzy logic and blockchain technology to secure and optimize the Industrial Internet of Things (IIoT), a contribution that has garnered 42 citations. In parallel, Mehbodniya has advanced human–machine interaction by developing probabilistic neural networks for gesture recognition in visible light communication systems, enabling more intuitive control of smart environments. His research has also addressed pressing global needs, as seen in his work on integrating cloud computing with IoT for the treatment and management of the COVID-19 pandemic. With over 13,000 citations to his name, Mehbodniya’s work is widely recognized for its practical impact, bridging theoretical innovation with real-world applications in industrial automation, healthcare, and smart infrastructure.
Research Focus
Key Achievements
Top Papers
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