Aarthy Nagarajan

Areas of Interest

Professor Nagarajan’s research focuses on advancing brain-computer interfaces (BCIs) to develop reliable, non-invasive systems for effectively interpreting neural signals. Her work aims to address critical areas such as restoring motor functions, neurorehabilitation, enhancing cognition, mental health interventions, and improving human-robot interactions. By optimizing EEG-based BCI systems for clinical use through advanced deep learning methods, she strives to ensure the reliability and effectiveness of BCIs while maintaining model interpretability.

Additionally, Professor Nagarajan explores scholarly communication, particularly assessing research impact via social media analysis using altmetrics.

Her primary areas of interest are:
– Brain-computer interfaces (BCI)
– Deep learning for BCI
– BCI for stroke rehabilitation and mental health
– Scholarly communication
– Altmetrics