Salman Shamshad
Papers
1
Total Citations
40
H-Index
1
About
Dr. Salman Shamshad is a leading researcher at the intersection of artificial intelligence, cybersecurity, and next-generation industrial systems. His work focuses on developing secure, intelligent protocols for autonomous systems, particularly in the context of Industry 5.0 and consumer electronics. Shamshad’s 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), introduces a novel neural computing approach to safeguard AI-powered drones and flying vehicles—critical components in modern smart factories and consumer applications. This contribution addresses pressing security challenges in autonomous decision-making and fault diagnosis, ensuring safe and reliable operations in human-centric industrial environments. By integrating neural computing with access control, Shamshad’s work bridges the gap between advanced AI capabilities and robust cybersecurity, offering practical solutions for real-world deployment. His research is highly relevant to students and engineers working on secure AI systems, autonomous robotics, and the evolution of Industry 5.0, where intelligent machines collaborate seamlessly with humans.
Research Focus
Key Achievements
Top Papers
- 1