Projects
 NeuroValid: Transformer Validation in BCI Comprehensive benchmark evaluating CvT & ViT on neurophysiologically isolated EEG signals (8-30Hz) using Optuna & RSA. (Under Review at BSPC) |  BCI-XAI: Unmasking the “Clever Hans” Effect Exposing artifact-dependency (EOG) in SOTA CNNs (EEGNet) for BCI rehabilitation using Grad-CAM and Saliency Maps. (Under Review at BSPC) |
 Imagined Speech Decoding Developing a Spectro-Temporal Transformer architecture to decode imagined speech and isolate pure neural correlates from EMG noise. |  Bone Age Estimation Vision Transformer (ViT) implementation for bone age regression on hand X-ray images, reducing MAE by 12% compared to CNN baselines. |
 Sleep Apnea Event Detection Detection of obstructive sleep apnea from single-channel ECG signals utilizing a hybrid CNN-Transformer architecture. |  AI-Powered Depression Detection Advanced detection of depression from EEG signals utilizing Transformer models for complex pattern recognition. |
 Neural Signal Processing Tutorials Practical tutorials and scripts for EEG data handling, pre-processing, and artifact removal using MNE-Python and EEGLAB. |  Hydrocephalus Prediction Medical image analysis model for Hydrocephalus detection using Convolutional Neural Networks (CNNs). |