Papers

5

Total Citations

77

H-Index

3

About

Dr. M A Hannan Bin Azhar is a leading researcher at the intersection of robotics, neural control systems, and rehabilitation engineering. His work focuses on developing intelligent robotic systems that assist neurologically disabled patients, combining brain-computer interfaces (BCI) with adaptive control to restore mobility and independence. His most cited paper, “BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients” (2019, 43 citations), demonstrates how non-invasive neural signals can drive assistive robotic arms, offering a promising pathway for post-injury rehabilitation. Dr. Azhar also pioneered hardware-based neural controllers, as seen in his 2003 work on FPGA-based adaptive neural controllers for collision-free robot navigation (23 citations), which introduced efficient, real-time artificial neural network implementations. More recently, he has explored optimal PID controllers using evolutionary algorithms for upper limb rehabilitation robots (2025, 6 citations), and contributed to STEM education through a qualitative review of educational robots (2024, 2 citations). His research spans from hardware-level genetic controllers to practical rehabilitation systems, reflecting a sustained commitment to bridging advanced control theory with real-world assistive technology. With a career blending neural engineering, robotics, and education, Dr. Azhar continues to shape how intelligent machines can enhance human capability and recovery.

Research Focus

Key Achievements

3
H-Index
5
Papers
77
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients
43 citations · 2019
📈 Most Prolific Year: 2003 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Canterbury Christ Church University, University of Kent, Bahria University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago