Papers

4

Total Citations

74

H-Index

4

About

S. Faiz Ahmed is a robotics researcher whose work sits at the intersection of intelligent control systems, rehabilitation engineering, and human-robot interaction. His primary research focuses on developing optimized control strategies for robotic systems, particularly for medical rehabilitation and bipedal locomotion. Ahmed’s most impactful contribution is his 2019 paper on an "Optimized Proportional-Integral-Derivative Controller for Upper Limb Rehabilitation Robot," which has garnered 59 citations. In this work, he pioneered the use of nature-inspired meta-heuristic optimization techniques to tune PID controllers for the RAX-1, a two-degree-of-freedom upper limb exoskeleton designed to assist stroke patients and individuals with motor impairments. His 2024 paper on "Artificial Neural Network Control of a Bipedal Robot Using a Bond Graph Model" (6 citations) extends his expertise into dynamic locomotion, while his earlier 2014 work on "Tracking and replication of hand movements by teleguided intelligent manipulator robot" (5 citations) demonstrates his foundational contributions to teleoperation and real-time motion replication. Ahmed’s research is notable for its practical applications in assistive robotics, where his optimized controllers enhance the safety and effectiveness of rehabilitation devices, directly impacting patient recovery outcomes.

Research Focus

Key Achievements

4
H-Index
4
Papers
74
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Optimized Proportional-Integral-Derivative Controller for Upper Limb Rehabilitation Robot
59 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: American University of Iraq Sulaimani, German University in Cairo, Universiti Malaysia Perlis

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago