NeuroTransformer: Transformer Model for Motor Imagery Classification
Developed models for decoding motor imagery from EEG, gaining experience working with noisy physiological signals and building robust analysis pipelines.
I am an aspiring computer science researcher studying how people experience, adapt to, and remain comfortable in virtual environments. My work focuses on virtual reality interaction, cybersickness, multisensory perception, and human-AI interaction.
A snapshot of my research and development work.
Developed models for decoding motor imagery from EEG, gaining experience working with noisy physiological signals and building robust analysis pipelines.
Built a configurable VR camera system to explore how perturbations in speed, rotation, and trajectory affect user comfort and sickness.
Designed a VR cooking environment with tasks such as cracking and flipping eggs to investigate interaction techniques and performance in everyday actions.