Mohammad Al Janaideh
Memorial University of Newfoundland, Czech Technical University in Prague, University of Guelph
Papers
19
Total Citations
174
H-Index
8
About
Mohammad Al Janaideh is a prolific researcher whose work bridges two critical frontiers of modern engineering: hysteresis modeling in smart actuator systems and intelligent health monitoring for connected autonomous vehicles (CAVs). His contributions to the Prandtl–Ishlinskii (PI) hysteresis operator—particularly his adaptive estimation of play radii—have advanced the precision control of smart material actuators, robots, and mechanical systems, earning 29 citations and establishing him as a key figure in nonlinear systems modeling. Equally impactful is his pioneering application of transmissibility-based frameworks to CAV platoon safety, enabling fault detection, localization, and mitigation without requiring knowledge of external excitations or full system dynamics. This body of work, spanning output-only fault detection, machine learning-based fault classification, and mixed autonomous-human vehicle platoon monitoring, has collectively garnered over 100 citations. Notably, Al Janaideh has extended these methods to real-world challenges such as identifying drunk drivers within mixed platoons and handling time-varying communication delays—problems with direct public safety implications. His recent work on robust output feedback control for robotic manipulators further demonstrates the breadth and practical relevance of his research vision.
Research Focus
Key Achievements
Top Papers
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