In-depth computational research into algorithmic simplification and base-2 representations of values in Collatz orbits (and some stochastic patterns). Submitted to American Mathematical Monthly and winner of Grand Award at IRIS 2024-25.

Using statistical analysis to establish novel rank-size distributions in road networks, suggesting Data Augmentation to improve AI model function in high-uncertainty situations. This paper is currently under review.

I developed a custom-made general-purpose AI model with characteristics of multi-layer regression and KNN models. This allows for the weightage of input factors and, therefore, dimensionality reduction.

AI-powered glasses (using computer vision) for the Visually Impaired to aid in Question/Answer, Navigation, Reading, and Recognising text/currency (patent pending), all while costing less than $20. Received large grant from IBO, IRIS National Fair Finalist. 

I developed a custom-made general-purpose AI model with characteristics of multi-layer regression and KNN models. This allows for the weightage of input factors and, therefore, dimensionality reduction.