Mohanna Arefnezhad
Papers
1
Total Citations
2
H-Index
1
About
Mohanna Arefnezhad is a rising researcher in the field of rehabilitation robotics and intelligent control systems, with a focused interest in the design and optimization of assistive technologies for human mobility. Her most cited work, "Design of Adaptive PID Controller for Lower Limb Exoskeleton Robot Based on Improved Black Hole Optimization" (2023), introduces a novel control strategy that enhances the precision and adaptability of exoskeletons used in rehabilitation. By integrating an adaptive PID controller with an improved metaheuristic algorithm, she addresses critical challenges in real-time motion control, offering a more responsive and efficient solution for patients recovering from lower limb impairments. This contribution, which has already garnered early citations, demonstrates her ability to bridge advanced optimization techniques with practical robotic applications. Arefnezhad’s research holds promise for advancing human-robot interaction in clinical settings, and her work is gaining recognition as a valuable step toward more intelligent and personalized rehabilitation devices.
Research Focus
Key Achievements
Top Papers
- 1