Muhammad Asad Saleem

University of Electronic Science and Technology of China

Papers

1

Total Citations

40

H-Index

1

About

Muhammad Asad Saleem is at the forefront of securing next-generation autonomous systems, with a primary focus on neural computing-based access control for AI-driven intelligent flying vehicles. His pioneering work, particularly his 2023 paper on access control protocols for Industry 5.0-assisted consumer electronics, has garnered 40 citations and addresses the critical challenge of safeguarding autonomous drones and robots in real-world consumer applications. By integrating neural computing with advanced security protocols, Saleem enables safer, more reliable deployment of intelligent flying vehicles in sectors ranging from logistics to smart manufacturing. His research sits at the intersection of artificial intelligence, cybersecurity, and consumer electronics, offering practical solutions for the emerging Industry 5.0 landscape. Saleem’s contributions are particularly notable for bridging theoretical security frameworks with tangible applications in autonomous decision-making and fault diagnosis. As a rising voice in AI-driven autonomous systems, his work is shaping the future of secure, intelligent transportation and industrial automation, making him a key researcher to watch in the evolution of smart, connected consumer technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
40
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
A Neural Computing-Based Access Control Protocol for AI-Driven Intelligent Flying Vehicles in Industry 5.0-Assisted Consumer Electronics
40 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Electronic Science and Technology of China

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago