Jamil Abedalrahim Jamil Alsayaydeh

Technical University of Malaysia Malacca

Papers

Total Citations

H-Index

About

Jamil Abedalrahim Jamil Alsayaydeh is a researcher at the forefront of cybersecurity and autonomous systems, with a particular focus on the vulnerabilities inherent in next-generation manufacturing. His most cited work, "Exploring the Potential Network Vulnerabilities in the Smart Manufacturing Process of Industry 5.0 via the Use of Machine Learning Methods" (2024, 22 citations), is a pivotal contribution to the field. In this study, Alsayaydeh critically examines the security risks posed by the integration of AI, IoT, and robotics into Industry 5.0’s human-centric smart factories, proposing machine learning-based defenses to protect critical infrastructure. This work has quickly gained traction, highlighting a pressing need for robust cybersecurity frameworks in an era of intelligent automation. Beyond industrial security, Alsayaydeh also advances the control and navigation of unmanned aerial vehicles (UAVs). His paper on an "autopilot-based method for trajectories control and adjustment" (2024) addresses the growing demand for precise, autonomous flight in sectors ranging from logistics to scientific research. By tackling both the security of smart manufacturing and the reliability of autonomous drones, Alsayaydeh demonstrates a versatile and impactful research agenda, bridging the gap between emerging technologies and their safe, practical deployment.