Investigating Topological Network Deficits in Autism Spectrum Disorder (ASD)

A computational hypothesis was evaluated during the pipeline: Long-range functional connectivity is significantly disrupted in individuals with ASD compared to neurotypical controls.

Evaluating Cross-Network Dynamics and Compensatory Mechanisms in Alzheimer’s Disease (AD)

A cross-network hypothesis was formulated during pipeline: The anti-correlation between the DMN and the ECN is disrupted, which results as increased functional coupling as a compensatory effort.

EEG-Based Inner Speech Analysis

To computationally investigate the neural correlates of inner speech and the cognitive paradigm, a multi-modal dataset, organized in accordance with Brain Imaging Data Structure (BIDS) standards was utilized.

Basic CNN Model for Classification of Brain Tumor MRI Scans

Developed a multiclass deep learning model to classify brain tumor MRI scans into four categories using baseline CNN and MobileNetV2 (Transfer Learning). Visualized model decision-making regions using Grad-CAM to ensure explainability.