Zahid Ghaffar

National Yunlin University of Science and Technology

Papers

Total Citations

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About

Dr. Zahid Ghaffar is a leading researcher at the intersection of artificial intelligence, cybersecurity, and next-generation industrial systems. His work primarily focuses on developing secure, intelligent access control protocols for autonomous systems, particularly within the frameworks of Industry 5.0 and consumer electronics. His most-cited paper, "A Neural Computing-Based Access Control Protocol for AI-Driven Intelligent Flying Vehicles in Industry 5.0-Assisted Consumer Electronics" (2023, 40 citations), exemplifies his core contribution: integrating neural computing with cryptographic protocols to safeguard AI-driven drones and robots. This research is pivotal for enabling secure, autonomous decision-making in smart manufacturing and consumer applications, addressing critical vulnerabilities in flying vehicle networks. Dr. Ghaffar’s work is notable for bridging the gap between advanced AI techniques and practical security solutions, ensuring that the autonomous systems of the future are both intelligent and resilient. His growing citation record underscores the immediate relevance of his contributions to both academia and industry, marking him as an emerging authority in secure, AI-enabled cyber-physical systems.