Mohd Faizal Yusof
Papers
2
Total Citations
25
H-Index
2
About
Mohd Faizal Yusof is a rising researcher at the forefront of cybersecurity and autonomous systems, whose work is shaping the future of Industry 5.0 and unmanned aerial vehicle (UAV) technology. His key research areas include smart manufacturing security, machine learning applications, and UAV trajectory control. Yusof’s most notable contribution is his highly cited 2024 paper, “Exploring the Potential Network Vulnerabilities in the Smart Manufacturing Process of Industry 5.0 via the Use of Machine Learning Methods,” which has already garnered 22 citations. This work critically examines the security risks inherent in the integration of AI, IoT, and robotics into intelligent manufacturing, offering machine learning-based solutions to protect these vital systems. Additionally, he has advanced the field of aviation technology with his research on autopilot-based methods for UAV trajectory control and adjustment, addressing challenges in logistics, surveying, and military applications. Though early in his career, Yusof’s rapid citation impact and focus on the intersection of cybersecurity and emerging industrial paradigms mark him as a promising voice in ensuring the safe and efficient evolution of smart technologies.
Research Focus
Key Achievements
Top Papers
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- 2