Rate My Professor Kamran Iqbal

Iqbal's research centers on neuro-mechanics and sensorimotor control of human movement, rehabilitation engineering, biomedical signal and image processing, and machine learning. His work explores biomechanical models for postural stability and control, muscle synergies in gait and upper limb motions, optimal control strategies for sit-to-stand movements, and applications in seizure detection and anemia prediction from images. He authored the textbook "A First Course in Control Systems" published by River Publishers in 2017, offering a unified approach to controller design applicable to electrical, mechanical, chemical, biomedical, and aeronautical engineering systems. Other key publications include "A First Course in Control System Design" (2022), "Control System Design in State-Space" (2022), "Mechanisms and models of postural stability and control" (2011), "Muscle Synergies Based Gait Phase Classification during Kinematically Constrained Walking on Slackline" (2020), and "Spectrogram Contrast Enhancement Improves EEG Signal-Based Emotional Classification" (2025). Iqbal is a member of IEEE, IET, BMES, ASEE, and Sigma Xi.