Maryam Iqbal
Papers
5
Total Citations
18
H-Index
3
About
Dr. Maryam Iqbal is a pioneering researcher in the field of biomechatronics and control systems, specializing in the anthropomorphic coordination of robotic digits with the human central nervous system (CNS). Her work focuses on developing sophisticated mathematical frameworks and control strategies to restore natural hand function in impaired individuals, bridging the gap between human physiology and robotic prosthetics. Dr. Iqbal’s major contributions include the innovative application of bond graph modeling and linear quadratic integral control synthesis to replicate the complex extensor-flexor dynamics of human digits, as demonstrated in her most-cited 2022 paper (6 citations). She has also advanced robust tracking control and mixed μ-synthesis techniques to handle disturbances and physiological variability, with her 2024 work (5 citations) refining minimal realization models for CNS-like decision-making. Her 2025 paper introduces high-order sliding mode control for fully actuated robotic hands, addressing real-world prosthetic challenges. With a growing citation impact and a focus on bionic hands for active prostheses and surgical assistance, Dr. Iqbal’s research is shaping the future of human-machine interaction and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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