GeoAI & scientific machine learning
Interpretable classification, anomaly detection, feature attribution, uncertainty-aware prediction, and reproducible ML workflows for mineral exploration.
AIMEX Research & Innovation
Artificial intelligence for mineral discovery.
AIMEX Lab is an independent research and innovation initiative developing interpretable, geoscience-grounded, and reproducible AI workflows for mineral exploration, ore-system science, geochemistry, and spatial decision support.
01Geoscience first
02Interpretable AI
03Reproducible validation
04Decision relevance
Research pillars
From mineral chemistry to regional exploration systems.
AIMEX combines domain geology with quantitative methods while keeping scientific interpretation, validation design, and uncertainty explicit.
Geochemistry & ore-system science
Mineral-scale and whole-rock geochemistry, metallogenic discrimination, critical-metal signals, and data-driven tests of ore-forming processes.
Spatial geoscience & remote sensing
Geospatial evidence integration, alteration mapping, spatial context, and exploration-scale synthesis across geological and remotely sensed datasets.
Benchmarking & validation
Leakage-aware evaluation, reproducible baselines, geological validation, transparent model comparison, and decision-focused benchmarking.
Research workflow
Evidence before prediction.
AIMEX workflows are designed to preserve geological meaning from source data through model evaluation and interpretation.
1. Data authority
Define provenance, scope, exclusions, and QA/QC before modeling.
2. Geological representation
Engineer variables without discarding mineral-system or spatial context.
3. Model & validation
Use fit-for-purpose algorithms, leakage controls, and robust holdout logic.
4. Scientific interpretation
Separate predictive performance from geological inference and decision support.
MAG
Dr. Muhammad Amar Gul
Founder & Director · Geoscientist · Geo-AI Researcher · Mineral Exploration Data Scientist
Scientific direction
Connecting economic geology, geochemistry and AI.
AIMEX is founded and directed by Dr. Muhammad Amar Gul. The initiative provides a focused platform for research collaboration, reproducible GeoAI development, and scientifically defensible mineral-exploration analytics.
Collaboration
Research, benchmarking, and applied GeoAI.
AIMEX welcomes technically serious collaborations in mineral exploration, geochemistry, spatial geoscience, scientific ML, and independent model benchmarking.