Dr. Nasser Madani is an Associate Professor at Nazarbayev University, specializing in Geostatistics and Mineral Resource Estimation. He teaches both undergraduate and graduate courses and is actively involved in research projects that advance spatial modeling techniques for the mining industry. Dr. Madani has provided geostatistical consulting for mining companies and collaborative research initiatives in Kazakhstan and internationally.

His work focuses on the development and optimization of geostatistical algorithms, with a strong emphasis on computational efficiency through programming in mathematical scripting languages such as MATLAB. He is also increasingly engaged in integrating machine learning (ML) approaches with traditional geostatistical methods to improve predictive modeling, uncertainty quantification, and data integration in resource estimation workflows.

• Geostatistics (linear, non-linear, and multivariate methods);
• Mineral Resource Estimation;
• Geometallurgy and Mineralogical Modeling;
• Data Analytics and Machine Learning Applications in Geosciences;
• Geostatistical Mine Tailings Modeling and Characterizations

1. Resource Estimation (BSc)
2. Mine planning (BSc)
3. Applied Geostatistics (MSc)
4. Advanced Geometallurgy (PhD)

https://scholar.google.com/citations?user=MghExQgAAAAJ

• Development of MATLAB/Python scripts for block-support simulation or geostatistical clustering

• Custom geostatistical toolkits for resource estimation or uncertainty modeling

• Machine learning–assisted geometallurgical modeling algorithms

• Development of practical manuals and training modules for students and industry workshops
• Tailings characterization models using spatially enhanced compositional data analysis