UCICS 2026
Subject-Independent Event Recognition Using a Lightweight 1D Neural Network
Achieved 95.35% accuracy under leave-one-subject-out validation via efficient cross-subject EEG architecture.
UCICS 2025
Data Augmentation with Mask-Encoding Based Deep Learning
Mask-encoding augmentation approach improving model invariance under noisy time-series EEG conditions.
Undergraduate Thesis
GAN-Based Data Augmentation for SSVEP Recognition
Conditional WGAN-GP synthesizing realistic EEG data for low-resource BCI tasks at the HCI Lab, U. of Rajshahi.