Maitreyee Wairagkar started her PhD at BEL after she took her MEng in Artificial Intelligence and Cybernetics in 2014.  Her research interests are developing BCI systems by using machine learning and artificial intelligence techniques and studying its different paradigms.  Her previous projects include a UROP project for development of Steady-State Visually-Evoked Potential (SSVEP) based BCI for cursor control and online signal processing and classification of EEG signals for motor imagery based BCI. She is currently working on reliably predicting voluntary movement and the development of a system for prediction and classification of imaginary movements.