Muhammad Khurram Saleem

University of Engineering and Technology Taxila

Papers

Total Citations

H-Index

About

Dr. Muhammad Khurram Saleem is a pioneering researcher at the intersection of neuroscience and robotics, with a primary focus on non-invasive Brain-Computer Interfaces (BCI) for assistive and service robotics. His most cited work, "A non Invasive Brain-Computer-Interface for Service Robotics" (2023, 6 citations), introduces a groundbreaking system that enables individuals—particularly those with paralysis—to control robotic platforms using only their neural activity, bypassing the need for physical movement. This contribution directly addresses a critical challenge in human-robot interaction: restoring autonomy to individuals with severe motor impairments. Dr. Saleem’s research demonstrates how electroencephalography (EEG) signals can be translated into real-time commands for service robots, offering a practical, non-surgical pathway to independence. By focusing on non-invasive methodologies, his work significantly lowers barriers to clinical adoption and user comfort. His achievements highlight a commitment to translating complex neuroengineering principles into tangible assistive technologies, positioning him as a key figure in the development of accessible, brain-driven robotic systems. For students and researchers, Dr. Saleem’s work exemplifies how BCI technology can bridge the gap between human intent and machine action, opening new frontiers in rehabilitation and human augmentation.