Hafiz Farhan Maqbool

University of Engineering and Technology Lahore

Papers

Total Citations

H-Index

About

Hafiz Farhan Maqbool is a researcher at the forefront of assistive and rehabilitative technologies, specializing in Brain-Computer Interfaces (BCIs), human locomotion analysis, and intelligent mobility aids. His work is dedicated to restoring independence for individuals with paralysis and visual impairments. Maqbool’s major contributions include developing a non-invasive BCI for service robotics, which enables users to control robotic systems through brain activity alone—a breakthrough for those with severe motor disabilities. He has also pioneered the use of EEG-based measurements combined with machine learning to accurately identify locomotion activities, a critical step toward advanced, responsive prosthetic control. In the domain of assistive mobility, Maqbool has advanced smart cane technology by integrating ROS and LiDAR, creating a system that allows visually impaired individuals to navigate unknown environments with greater confidence and autonomy. With over 13 citations across his most-cited works, his research is gaining traction for its practical, human-centered approach. Maqbool’s work sits at the intersection of neuroscience, robotics, and machine learning, promising to transform the lives of people with disabilities through intelligent, non-invasive technologies.