Papers

7

Total Citations

87

H-Index

5

About

Khaled F. Aljanaideh is a prominent researcher specializing in autonomous vehicle systems, fault detection, and control engineering. His work has made significant contributions to the safety and reliability of connected autonomous vehicle (CAV) networks, with a particular focus on leveraging transmissibility operators — mathematical models that relate system outputs without requiring knowledge of external excitations or full system dynamics — as powerful diagnostic tools. Aljanaideh's most influential contributions center on fault detection, localization, and mitigation within autonomous vehicle platoons. His 2022 paper on transmissibility-based health monitoring has garnered 26 citations, while his foundational 2020 work on fault detection in CAV networks has accumulated 21 citations, reflecting strong community uptake of his methods. Notably, he has extended these frameworks to tackle real-world complexities, including mixed platoons containing unpredictable human-driven vehicles and the challenging problem of identifying intoxicated drivers through velocity measurements alone — demonstrating both technical rigor and practical road-safety impact. Beyond autonomous vehicles, his research portfolio spans robotic manipulator control and fuzzy logic systems, illustrating broad expertise across control engineering disciplines. Collectively, his published work reflects a researcher deeply committed to making intelligent transportation systems safer, more resilient, and operationally reliable in complex, real-world environments.

Research Focus

Key Achievements

5
H-Index
7
Papers
87
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Transmissibility-Based Health Monitoring of the Future Connected Autonomous Vehicles Networks
26 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Jordan University of Science and Technology, University of Michigan–Ann Arbor, Concordia University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago