Khalid Mahmood

National Yunlin University of Science and Technology

Papers

Total Citations

165

H-Index

About

Dr. Khalid Mahmood is at the forefront of intelligent automation and cybersecurity for next-generation industrial systems. His research primarily focuses on the Internet of Robotic Things (IoRT), Industry 5.0, and the application of hybrid deep learning for fault diagnosis and secure access control. Dr. Mahmood’s major contributions include developing an online fault diagnosis framework for industrial robots using IoRT and hybrid deep learning techniques, a seminal work that has already garnered 125 citations since its 2024 publication. This research is critical for enabling self-aware, self-healing robotic systems that can operate autonomously and safely alongside humans. Additionally, he has pioneered a neural computing-based access control protocol for AI-driven intelligent flying vehicles in Industry 5.0 consumer electronics (40 citations), addressing the pressing security challenges of autonomous drones. His work bridges the gap between theoretical AI and practical, fail-safe industrial deployment. By tackling both reliability and security, Dr. Mahmood is shaping a future where intelligent robots and flying vehicles can be trusted to work seamlessly in our factories and homes.