Muhammad Zikril Hakim Azizi
Papers
1
Total Citations
2
H-Index
1
About
Muhammad Zikril Hakim Azizi is a researcher at the forefront of Brain-Computer Interfaces (BCI) and rehabilitation robotics, with a particular focus on non-invasive control systems for assistive technologies. His most cited work, "Steady State Visual Evoked Potential Based BCI as Control Method for Exoskeleton: A Review" (2016), provides a comprehensive synthesis of how SSVEP-based BCIs can enable direct neural control of exoskeletons, offering a transformative pathway for individuals with spinal cord injuries or motor impairments. This review critically examines the integration of visual evoked potentials with robotic exoskeletons, highlighting key challenges in signal processing, user training, and real-time control. While his citation count remains modest, Azizi's contribution lies in bridging two rapidly evolving fields—neural engineering and rehabilitation robotics—to create more intuitive, hands-free mobility solutions. His work underscores the potential of BCI-driven exoskeletons to restore independence and quality of life for patients with severe motor disabilities, positioning him as a promising voice in the next generation of assistive technology researchers.
Research Focus
Key Achievements
Top Papers
- 1