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

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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.

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Light-Guided GABAergic Modulation Using UPCNs Description

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