Basic CNN Model for Classification of Brain Tumor MRI Scans Description:

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.

Light-Guided GABAergic Modulation Using UPCNs Description

Designed a theoretical framework for non-invasive neuromodulation using collimated NIR light targeting the olfactory nerve pathway. Synthesized interdisciplinary literature on biophotonics and neurotechnology.