Mohammed Saeed Alkatheiri

University of Jeddah

Papers

3

Total Citations

27

H-Index

2

About

Mohammed Saeed Alkatheiri is a researcher advancing the intersection of cybersecurity, artificial intelligence, and the Internet of Things (IoT), with a particular focus on securing critical industrial and logistics infrastructures. His most influential work, "Context-Aware Autonomous Security Assertion for Industrial IoT" (2020), with 23 citations, addresses the pressing need for integrated, intelligent security in mission-critical environments. This paper proposes a framework for autonomous security assertion within the Industrial Internet of Things (IIoT), targeting the vulnerabilities of purpose-driven communication controllers, enterprise-grade modems, and edge computing systems. By embedding context-aware decision-making directly into the operational fabric of IIoT platforms, Alkatheiri’s contribution helps enable safer, more resilient automation in sectors like manufacturing and energy. While some of his later publications, such as those on encrypted AI for package recognition and drone path planning, have been retracted, his core work on autonomous security remains a notable reference for researchers designing trustworthy, self-adaptive systems for the industrial edge. Alkatheiri’s research is particularly relevant for students and engineers exploring the convergence of AI, cybersecurity, and real-time control in the next generation of smart infrastructure.

Research Focus

Key Achievements

2
H-Index
3
Papers
27
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Context-Aware Autonomous Security Assertion for Industrial IoT
23 citations · 2020
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Jeddah

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago