Girijesh Prasad
University of Ulster, Work Research Centre, Intel (United States)
Papers
14
Total Citations
456
H-Index
9
About
Girijesh Prasad is a distinguished researcher whose work sits at the intersection of brain-computer interfaces (BCIs), neurorehabilitation, and intelligent robotics. His research has made significant contributions to developing adaptive BCI systems that translate neural signals into meaningful control commands, most notably demonstrated in his widely cited 2014 work on EEG-based mobile robot control, which has garnered 108 citations. Prasad has been instrumental in advancing post-stroke rehabilitation technologies, exploring how BMI-driven robotic interventions can restore upper-limb motor function and how beta-band cortical networks correlate with recovery outcomes. His 2018 paper on EEG-EMG correlation-based BCIs for hand orthosis neurorehabilitation (95 citations) exemplifies his innovative approach to merging neural and muscular signals for therapeutic benefit. Beyond rehabilitation, Prasad has contributed to redundant robot manipulator control through adaptive critic frameworks and pioneered FPGA-based implementations of evolvable spiking neural networks. His investigations into fronto-centroparietal neural connectivity during gait training further reveal the neurophysiological underpinnings of motor learning. With research spanning over a decade and hundreds of citations, Prasad's work continues to shape the future of intelligent assistive and rehabilitative technologies.
Research Focus
Key Achievements
Top Papers
- 1EEG-Based Mobile Robot Control Through an Adaptive Brain–Robot Interface108 citations · 2014
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