Publications & Research Outputs

This page highlights research outputs relevant to AIMEX themes. Some publications predate AIMEX or were completed under academic, industrial, or other collaborative programs; inclusion here indicates scientific relevance, not institutional authorship by AIMEX.

Selected GeoAI and mineral-exploration research

2026

• Big Data mining on Galena geochemistry using machine learning algorithms: Implications for Metallogenic Discrimination — Mathematical Geosciences.
• Artificial Intelligence-Driven Metallogenic Typing of Pyrite from Global Ore Systems — Journal of Geochemical Exploration.

2025

• Machine learning-based classification of pyrite geochemistry for discriminating tectonic settings in sedimentary environments: Insights from big data analysis and interpretable SHAP model — Gondwana Research.
• Ore genesis and critical metal enrichment using deep learning algorithms in Gunga Pb-Zn deposit Southern Pakistan: Constraints from geochemistry and isotopic compositions — Journal of Geochemical Exploration. DOI
• Machine Learning-Driven Classification of Pb-Zn Ore Deposits Using Pyrite Trace Elements and Isotopic Signatures: A Case Study of the Gunga Deposit — Journal of Geochemical Exploration. DOI

Broader geoscience research

AIMEX also draws on broader expertise in economic geology, isotope geochemistry, sedimentary geochemistry, tectonics, and ore-deposit studies.

For the founder’s complete and current publication record, use Google Scholar.