Talha Ahmed Khan
Papers
2
Total Citations
8
H-Index
2
About
Talha Ahmed Khan is a leading researcher in rehabilitation robotics, with a focus on precision control systems for upper extremity assistive devices. His work centers on optimizing robotic movement to ensure safe, smooth, and accurate human-robot interaction—critical for therapeutic applications. Khan’s most cited paper (2025, 6 citations) investigates evolutionary optimization algorithms for PID controllers in five-degree-of-freedom rehabilitation robots, addressing the demanding requirements of upper limb therapy. His earlier study (2023, 2 citations) provides a comparative analysis of machine-learning-based optimal control strategies, highlighting the challenges of dangerous and tiresome human-robot interactions. Together, these contributions advance the field by integrating computational intelligence with mechanical design, improving both safety and efficacy in rehabilitation settings. Khan’s research is particularly notable for bridging theoretical optimization techniques with practical robotic applications, offering scalable solutions for clinical use. His work has already influenced emerging approaches to adaptive control in assistive robotics, making him a rising voice in the intersection of machine learning, control theory, and biomedical engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2