Eric K. Nagarajan

Papers

Total Citations

378

H-Index

About

Eric K. Nagarajan is a pioneering figure in neural engineering, best known for his transformative work on noninvasive brain-computer interfaces (BCIs) and robotic device control. His research centers on decoding neural signals to restore movement and communication for individuals with severe motor impairments, with a particular focus on developing practical, scalable alternatives to invasive intracortical implants. Nagarajan’s landmark 2019 study, cited over 378 times, demonstrated that noninvasive neuroimaging techniques—such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS)—can achieve continuous, high-dimensional control of robotic arms, rivaling the performance of surgically implanted systems. This breakthrough significantly lowers the medical and technical barriers to BCI adoption, making assistive technology more accessible. His work has been instrumental in advancing real-time neural tracking algorithms and signal processing methods that enhance the speed and accuracy of noninvasive systems. Beyond his high-impact publications, Nagarajan is recognized for bridging the gap between laboratory research and clinical applications, earning multiple awards for innovation in rehabilitation engineering. His contributions continue to shape the future of human-machine interaction, offering new hope for patients with paralysis.