Saqib Zafar

University of Engineering and Technology Lahore, Università degli Studi della Tuscia

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About

Saqib Zafar is a rising researcher at the intersection of assistive robotics and neural engineering, whose work focuses on restoring autonomy to individuals with physical and sensory disabilities. His primary research areas include non-invasive Brain-Computer Interfaces (BCI), prosthetic control, and smart assistive devices. Zafar’s most impactful contribution is a non-invasive BCI system for service robotics (2023, 6 citations), which enables paralyzed individuals to control robotic systems using only brain activity, eliminating the need for physical movement. He further advanced prosthetic technology by developing an EEG-based locomotion identification system (2024, 5 citations), integrating machine learning to decode human gait patterns for more responsive prosthetic control. In a parallel effort to aid the visually impaired, Zafar engineered an innovative smart cane (2024, 2 citations) that leverages ROS and LiDAR technology to provide autonomous navigation, reducing reliance on human or dog assistance. Though early in his career, Zafar’s work demonstrates a clear commitment to translating neural and robotic technologies into practical solutions that enhance mobility and independence for vulnerable populations.