Daniel Suma
Papers
2
Total Citations
394
H-Index
2
About
Daniel Suma is a pioneering researcher in neurorobotics and brain-computer interfaces (BCIs), with a focus on noninvasive neural control systems. His most-cited work, "Noninvasive neuroimaging enhances continuous neural tracking for robotic device control" (2019, 378 citations), demonstrates that electroencephalography (EEG)-based BCIs can achieve high-dimensional robotic control comparable to invasive intracortical implants, without requiring surgical expertise. This breakthrough significantly advances the accessibility and practicality of assistive robotic devices for daily tasks. In his follow-up study, "Spatial-temporal aspects of continuous EEG-based neurorobotic control" (2020, 16 citations), Suma systematically identifies key spatio-temporal challenges—such as signal variability and real-time processing—that must be resolved before deploying these systems in home and clinical settings. His work bridges the gap between laboratory demonstrations and real-world applications, emphasizing human-subject experiments to validate performance. Suma’s contributions are critical for developing safe, user-friendly neurorobotic technologies that empower individuals with motor disabilities, making him a leading voice in noninvasive BCI research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Spatial-temporal aspects of continuous EEG-based neurorobotic control16 citations · 2020