Selected Work
A collection of projects that showcase my expertise in AI, machine learning, and computational neuroscience.
Dimensional Reduction for Neuron Data
Explored dimensional reduction techniques (PCA, TCA) applied to large-scale neural datasets. Conducted analysis on complex neural patterns, providing insights into brain activity and computational neuroscience.
Neural-Symbolic VQA
Designed a multi-modal AI system integrating computer vision, NLP, and symbolic reasoning to enhance visual question answering on the Sort-of-CLEVR dataset. Achieved high accuracy in both relational and non-relational questions.
Object Tracking Under Occlusions
Built a robust object tracking system combining CNN-based detection and Kalman filters to predict and track occluded objects effectively. Developed using ResNet for feature extraction, enabling accurate tracking under challenging conditions.
