Brain-Computer Interface

Neural Signal Processing

Brain-Computer Interface (BCI) technology is a transformative field in neuroscience and biomedical engineering, enabling direct communication between the brain and external devices. My research focusses on improving signal interpretation accuracy using advanced algorithms such as the Extended Kalman Filter (EKF) and Newton-Raphson methods to reduce error rates and enhance the reliability of brain-signal decoding, ultimately boosting the performance and usability of BCI systems for neuro rehabilitation, assistive technologies, and cognitive monitoring.