Mohammed Faeik Ruzaij

Al-Furat Al-Awsat Technical University

Papers

4

Total Citations

86

H-Index

4

About

Mohammed Faeik Ruzaij is a researcher specializing in assistive robotics, embedded systems, and rehabilitation engineering, with a particular focus on developing intelligent control solutions for individuals with severe physical disabilities. His work addresses a critical global challenge: providing autonomy and independence to patients suffering from quadriplegia, paralysis, amputation, and age-related mobility loss who cannot operate traditional joystick-controlled wheelchairs. Ruzaij's most significant contributions lie in designing innovative, low-cost wheelchair control systems that leverage multiple input modalities. His multi-sensor robotic wheelchair controller (2016, 25 citations) integrates embedded technologies to serve elderly and quadriplegic users, while his complementary research introduced voice-controlled systems capable of operating across multiple modes (2015, 21 citations). Particularly noteworthy is his development of an auto-calibrated head orientation controller utilizing MEMS sensors (2016, 21 citations), offering a hands-free navigation solution requiring no manual calibration. His hybrid voice controller work (2016, 19 citations) further demonstrates his commitment to combining recognition technologies with embedded systems for robust real-world performance. Collectively accumulating over 85 citations, Ruzaij's body of work represents meaningful progress in human-machine interaction for rehabilitation robotics, making him a valuable contributor to assistive technology research for vulnerable populations worldwide.

Research Focus

Key Achievements

4
H-Index
4
Papers
86
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Multi-sensor robotic-wheelchair controller for handicap and quadriplegia patients using embedded technologies
25 citations · 2016
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Al-Furat Al-Awsat Technical University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago