Nawfan Mohammed Mohammed Ahmed Al-Fakih
Papers
2
Total Citations
9
H-Index
2
About
Nawfan Mohammed Mohammed Ahmed Al-Fakih is a researcher advancing the field of brain-computer interfaces (BCIs) for assistive technologies. His work focuses on developing practical, low-cost systems that translate neural signals into real-world actions, particularly for mobility assistance. His most-cited paper, "Investigating the Possibility of Brain Actuated Mobile Robot Through Single-Channel EEG Headset" (2020, 7 citations), demonstrates a proof-of-concept for controlling a mobile robot using minimal EEG hardware, highlighting his commitment to accessible BCI solutions. In a related study, "Offline EEG-Based DC Motor Control for Wheelchair Application" (2020, 2 citations), he explores offline signal processing to drive a DC motor, laying groundwork for wheelchair control systems. Al-Fakih’s contributions are significant for their potential to empower individuals with severe motor disabilities, offering a bridge between neural activity and mechanical movement. His work stands out for its emphasis on single-channel EEG headsets, which reduce cost and complexity, making BCI technology more viable for everyday use. Through these studies, Al-Fakih is helping to shape a future where thought-driven mobility aids become a practical reality.
Research Focus
Key Achievements
Top Papers
- 1
- 2Offline EEG-Based DC Motor Control for Wheelchair Application2 citations · 2020