Fakhreddine Ghaffari
CY Cergy Paris Université, Centre National de la Recherche Scientifique
Papers
4
Total Citations
45
H-Index
3
About
Fakhreddine Ghaffari is a leading researcher at the intersection of assistive robotics, brain-computer interfaces (BCIs), and augmented reality (AR). His work focuses on creating intuitive, shared control systems that empower individuals with physical disabilities by decoding neural and biological signals. A key contribution is his highly cited 2022 review, "Deep learning for biosignal control," which provides foundational insights and practical recommendations for real-time biosignal decoding, accumulating 24 citations. Ghaffari has pioneered the integration of motor imagery BCIs with eye tracking and AR, as demonstrated in his 2024 studies (11 and 8 citations respectively). These works evaluate a novel shared robot control system that combines neural intent detection with visual gaze, significantly enhancing user autonomy and sense of agency. By developing dynamic scheduling models for reconfigurable architectures, he also addresses the computational challenges of real-time, adaptive systems. With a growing citation impact, Ghaffari’s research is shaping the future of human-robot interaction, making assistive technologies more responsive, portable, and user-friendly for real-world applications.
Research Focus
Key Achievements
Top Papers
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