Title: Neurorobotics and Brain computer interface for robotic rehabilitation
Abstract: Neurorobotics is the combined study of neuroscience, robotics and artificially intelligent systems. It can be used to provide a means of communication for people suffering from severe motor disabilities or with limb amputation. This talk with focus on development of electromyography (EMG)-based control of prosthetic arm and electroencephalography (EEG)-based control of external devices including a wheelchair for rehabilitation of mobility in paralyzed individuals. Details of a recently developed functional near-infrared spectroscopy (fNIRS) system for brain-imaging and its application for brain-computer interface will be presented. All necessary steps involved in developing EMG-, EEG- and fNIRS-based neurorobotics interfaces including bioinstrumentation, filtering, pattern recognition and control command generation will be discussed. Some recent works done at Neurorobotics Research Group at Air University, Islamabad will be presented as well. Bio: Dr. Noman Naseer is a Senior Member IEEE, Director of Neurorobotics Research Group and Chairman of the Department of Mechatronics and Biomedical Engineering at Air University, Islamabad. He is also the Vice President of IEEE Robotics and Automation Society, Pakistan. Dr. Naseer has published 2 books and more than 130 peer-reviewed papers. He has received around 5000 citations from all around the globe. Dr. Naseer serves as a reviewer of above 100 SCI Indexed journals and is serving as Associate Editor of 5 SCI indexed journals. He has won research and travel grants worth more than 500,000 USD. Dr. Naseer is also recipient of the prestigious Bill and Malinda Gates foundation award. His name has been included in the directory of productive scientist of Pakistan for three consecutive years. He also is ranked among top 1% reviewers in his research field by Publons, owned by Clarivate Analytics. His name has been included in the list of top 2% scientists of the world in years 2021 to 2024. His current research interests include: Brain-Robot Interfacing and Machine Learning for Robotics.
