Title: Neurorobotics and Brain computer interface for robotic rehabilitation
Abstract: This study investigates the use of functional near-infrared spectroscopy (fNIRS)
to classify ankle movements in patients suffering from foot drop. Data acquisition
involved patients watching videos of dorsiflexion and plantarflexion moments, then
performing these movements with the assistance of an active ankle exoskeleton. Both
motor execution and imagery data were collected. Machine learning classifiers were
trained on this dataset, with k-Nearest Neighbors (kNN) emerging as the optimal
classifier, achieving 74% accuracy on motor execution data and 66% on imagery data.
These findings demonstrate the potential of fNIRS-based classification for
rehabilitation applications in drop foot patients. Bio: Prof. Dr. Noman Naseer is a Senior Member of IEEE and serves as the
Chairman of the Department of Mechatronics and Biomedical Engineering at
Air University, Islamabad. He is also the Vice President of the IEEE Robotics
and Automation Society, Pakistan. Additionally, Dr. Naseer is the founding
Director of the Neuroimaging Research Group at Air University, Islamabad.
A prolific researcher, Dr. Naseer has authored 2 books and over 140 peer-
reviewed papers, garnering approximately 5,000 citations worldwide. He serves
as a reviewer for more than 100 SCI-indexed journals and is an Associate Editor
for 5 SCI-indexed journals.
Dr. Naseer has secured research and travel grants totaling over $500,000. Notably, he is a
recipient of the prestigious Bill and Melinda Gates Foundation Award. For three consecutive years,
his name has been included in the directory of productive scientists in Pakistan.
In recognition of his exceptional reviewing skills, Dr. Naseer has been ranked among the top 1%
of reviewers in his field by Publons, owned by Clarivate Analytics. Furthermore, his name has been
listed among the top 2% of scientists globally for the years 2021-2024.
