Mohammed Abdullah Al-Hagery

Papers

Total Citations

H-Index

About

Dr. Mohammed Abdullah Al-Hagery is a leading researcher at the intersection of artificial intelligence, cybersecurity, and healthcare technology. His work focuses on integrating blockchain and machine learning within the Internet of Things (IoT) ecosystem, particularly for smart healthcare applications. His most cited paper, "Blockchain and machine learning in the internet of things: a review of smart healthcare" (2023), has garnered 15 citations, reflecting its timely contribution to understanding how decentralized security and intelligent data processing can transform medical monitoring and patient care. Dr. Al-Hagery also advances computer vision and human-computer interaction through his innovative work on gesture recognition. His 2024 paper, "Deep convolutional neural network-based Leveraging Lion Swarm Optimizer for gesture recognition and classification," introduces a novel optimization algorithm that enhances the accuracy of vision-based gesture detection, enabling more natural human-machine communication. By combining deep learning with bio-inspired swarm intelligence, Dr. Al-Hagery pushes the boundaries of real-time gesture classification. His research not only addresses critical challenges in healthcare security and accessibility but also lays foundational work for next-generation assistive technologies and smart environments.