Mohammed A. Al-Qarni
Papers
1
Total Citations
2
H-Index
1
About
Mohammed A. Al-Qarni’s research centers on the intersection of artificial intelligence, robotics, and cybersecurity, with a particular focus on secure IoT-enabled logistics and physical security systems. His work explores how encrypted AI frameworks can enhance robotic perception and package recognition in dynamic, high-speed environments—critical for modern video surveillance and automated logistics. Despite the retraction of his most-cited paper, “Improved encrypted AI robot for package recognition in IoT logistics environment” (2022, 2 citations), this study addressed the challenge of real-time image recognition in robotic applications, proposing in-built programming functions to secure package movement data. Al-Qarni’s contributions highlight the pressing need for robust encryption in AI-driven robotic systems, where speed and accuracy must coexist with data integrity. While his citation impact remains modest, his research underscores a growing niche in secure, intelligent automation—a field vital for smart warehouses and surveillance. His work serves as a stepping stone for future investigations into resilient AI architectures for physical security, encouraging researchers to refine encryption methods for real-world robotic deployment.
Research Focus
Key Achievements
Top Papers
- 1