Noman Naseer
Papers
8
Total Citations
152
H-Index
6
About
Dr. Noman Naseer is a pioneering researcher at the intersection of assistive robotics, brain-computer interfaces (BCIs), and autism therapy. His work centers on developing adaptive, multi-robot systems to improve joint attention and imitation in children with Autism Spectrum Disorder (ASD), as demonstrated in his highly cited 2019 paper (70 citations) and the recent RoboCA³T framework. Dr. Naseer also advances neurorehabilitation through motor training studies that combine mental workload assessment with soft exoskeletons, using functional near-infrared spectroscopy (fNIRS) to create intuitive brain-machine interfaces. His contributions extend to electromyography (EMG)-based control of robotic hands for prosthetics and deep learning-driven drone control via hand gestures. With over 150 citations across his most impactful works, Dr. Naseer has significantly shaped noninvasive BCI research, including hybrid EEG-fNIRS systems for motor imagery classification. His innovative, human-centered approach—bridging robotics, neuroscience, and machine learning—offers transformative tools for assistive technology and therapeutic interventions, making him a leading figure in adaptive human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 3EMG Based Control of Individual Fingers of Robotic Hand16 citations · 2018
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- 6Motor imagery performance evaluation using hybrid EEG-NIRS for BCI6 citations · 2015
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