Jinan Charafeddine
Papers
3
Total Citations
45
H-Index
2
About
Jinan Charafeddine is a pioneering researcher at the intersection of artificial intelligence and biomechatronics, whose work spans the cutting edge of both fields. Her most prominent contribution is the comprehensive survey "Agentic AI: a comprehensive survey of architectures, applications, and future directions" (2025), which has rapidly garnered 42 citations. This work cuts through the confusion surrounding modern neural systems versus outdated symbolic models, addressing the problem of "conceptual retrofitting" and providing a crucial roadmap for the next generation of autonomous AI systems. In parallel, Charafeddine has made significant strides in robotic rehabilitation, as demonstrated by her work on machine learning-enhanced biomechanical analysis and the characterization of muscle signals for controlling lower-limb exoskeletons during locomotor activities. Her research on integrating patient muscle signals for exoskeleton control, particularly for individuals with lower extremity spasticity, represents a vital step toward patient-centered assistive technologies. By bridging high-level AI architectures with tangible, human-centered robotic applications, Charafeddine is shaping a future where intelligent systems are both conceptually rigorous and practically empowering.
Research Focus
Key Achievements
Top Papers
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