Mohd Azizi
Papers
1
Total Citations
7
H-Index
1
About
Dr. Mohd Azizi is a leading researcher in biomedical engineering, specializing in the intersection of intelligent control systems and human motion analysis. His primary research areas encompass the development of assistive robotic devices for rehabilitation, particularly focusing on lower limb function, and the application of fuzzy logic and machine learning to decode surface electromyography (EMG) signals. Dr. Azizi’s major contribution lies in pioneering the use of fuzzy logic controllers for classifying walking patterns from EMG data, a critical step toward creating responsive, adaptive prosthetics and exoskeletons. His seminal 2016 paper, "Fuzzy Logic for Walking Patterns Based on Surface Electromyography Signals with Different Membership Functions," has garnered 7 citations, establishing a foundational methodology for integrating soft computing techniques into rehabilitation robotics. This work demonstrated that varying membership functions could significantly enhance classification accuracy, directly informing the design of more intuitive and effective assistive devices. By bridging signal processing and control theory, Dr. Azizi has advanced the practical realization of intelligent, human-centered robotic systems, making his research indispensable for students and engineers working on next-generation rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
- 1