Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep underground science and engineering (2026)

Hybrid Machine Learning with Metaheuristic Optimization for Predicting Peak Particle Velocity in Open-Pit Mines

Mining Metallurgy & Exploration (2026)

A Hybrid LightGBM-WOA Model for Accurate Prediction of Back-Break in Mine Blasting Operations: A Case Study

Shock and Vibration (2026)

Geotechnical Properties and Applications of Iron Ore Tailings-Amended Lateritic Soil for Road Construction

Rudarsko-geolosko-naftni zbornik (2026)

Ground-Type Classification from Earth-Pressure-Balance Shield Operational Data with Uncertainty Quantification

Applied Sciences-Basel (2025)

Graded Evaluation and Optimal Scheme Selection of Mine Rock Diggability Based on the Multidimensional Cloud Model

Machines (2025)

Deep learning-powered rock mass classification: Predicting RMR from Q-system parameters with high accuracy

Rock Mechanics Bulletin (2025)

Optimising tunnel support design with machine learning models

Environmental Earth Sciences (2025)

Advanced machine learning for pillar stress prediction and design optimisation in hardrock platinum mining: enhancing safety and sustainability on the Great Dyke of Zimbabwe

Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2025)

Interpretable Machine Learning for Predicting Cutting Force of Tunnel Boring Machine: A Study on SVR With Meta-Heuristic Optimization

International Journal for Numerical and Analytical Methods in Geomechanics (2025)

Optimizing Random Forest with Hybrid Swarm Intelligence Algorithms for Predicting Shear Bond Strength of Cable Bolts

Machines (2025)

Modeling the Abrasive Index from Mineralogical and Calorific Properties Using Tree-Based Machine Learning: A Case Study on the KwaZulu-Natal Coalfield

Mining (2025)

Interpretable Ensemble Learning with Lévy Flight-Enhanced Heuristic Technique for Strength Prediction of MICP-Treated Sands

Applied Sciences-Basel (2025)

Enhancing tunnel safety with machine learning models for ground behavior prediction

Tunnelling and Underground Space Technology (2025)

An optimized machine learning framework for prediction of coal abrasive index: Leveraging supervised learning, metaheuristic optimization, and interpretability analysis

Fuel (2025)

Optimized Slope Stability Assessment Using an Intuitionistic Fuzzy MCDM Approach for LEM Model Selection

Geotechnical and Geological Engineering (2025)

Evaluating destress blasting for rock fracture and rockburst prediction in deep level hardrock mining

Journal of the Southern African Institute of Mining and Metallurgy (2025)

Reflections on destress blasting for deep level hardrock mining: Key considerations for successful application of the techniques

Journal of the Southern African Institute of Mining and Metallurgy (2025)

Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design

Deep Underground Science and Engineering (2025)

Intelligent Decision Framework for Booster Fan Optimization in Underground Coal Mines: Hybrid Spherical Fuzzy-Cloud Model Approach Enhancing Ventilation Safety and Operational Efficiency

Machines (2025)

Quantifying the cohesive strength of rock materials by roughness analysis using a domain based multifractal framework

International Journal of Rock Mechanics and Mining Sciences (2023)

Research projects

Resources Trinity: Assessment of potential for Victorian-Indian critical-mineral processing partnerships, sponsored by Victorian Government, 2021.

Investigation of transport and geo-mechanical properties of coal, sponsored by Govt. of Australia, 2015.

Numerical and Experimental Investigation of Cap Rock Integrity due to CO2 storage in Sedimentary rocks by Monash University, Australia, 2010.

To establish the relation of rock strength parameters with blast induced ground vibration mechanism and its evaluation funded by Dept of Science and Technology, Govt. of India, 2010.

Project entitled “Application of neural network for the prediction of blast induced ground vibration” sponsored by Govt. of Australia, 2008-09.

Application of neural network for study on effect of blast design parameters on blast induced ground vibration funded by Council of Scientific & Industrial Research, Govt. of India (2003-2007).

Patents

Apparatus and method of providing security to cloud data to prevent unauthorized access

Books

1

Advancements in Underground Infrastructures

Taylor & Francis Group (2025)

2

Geomechanics in Energy, Geology and Oil-Gas Exploration : Proceedings of the 2025 International Conference on Geology, Energy and Oil and Gas Explorat

Springer Series in Geomechanics and Geoengineering Series (2026)

3

Soft Computing Approach to Evaluate and Predict Blast Vibrations: Application to Mining and Civil Engineering Projects

LAP LAMBERT (2012)