Ibrahim Ahmed Al-Omari

Papers

Total Citations

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About

Ibrahim Ahmed Al-Omari is a forward-looking researcher at the intersection of healthcare, artificial intelligence, and distributed systems. His primary research areas include the Internet of Things (IoT), blockchain technology, and machine learning, with a focused application in smart healthcare. His most-cited work, a 2023 review on "Blockchain and machine learning in the internet of things: a review of smart healthcare," has already garnered 15 citations, reflecting the timeliness and relevance of his contributions. In this paper, Al-Omari explores how portable medical devices and mobile health applications can be secured and enhanced through blockchain’s immutability and machine learning’s predictive power, offering a roadmap for next-generation digital healthcare. His work addresses critical challenges in data privacy, interoperability, and real-time monitoring, positioning him as a key voice in the push toward more resilient and intelligent health systems. Al-Omari’s research not only synthesizes emerging technologies but also provides actionable insights for practitioners and policymakers, making his contributions valuable for students and researchers aiming to understand the future of connected health.