Moshood Onifade

Associate Professor, Mining Engineering

Contact

m.onifade@federation.edu.au +61 (3) 53279246

Campus

Mt Helen Campus

Biography

Moshood Onifade is an associate professor at Federation University Australia. Before his appointment at Federation, he was an associate professor and the Chair of Mining at the University of Johannesburg, South Africa. He was also an associate professor at the University of Namibia and a lecturer at the Federal University of Technology Akure, Nigeria.

Moshood has published over 100 peer-reviewed research papers in high-impact journals. His publishing background reflects his national and international standing and international engagement with researchers, industry and stakeholders. He has attracted several grants and awards, and he is a reviewer of scientific papers for different internationally accredited journals. Moshood has successfully led and completed several high-impact research projects for the South African mining industry, with a strong focus on improving mine safety, occupational health and environmental sustainability. His areas of expertise include oxidation and spontaneous combustion (particularly in coal, carbonaceous shales and other minerals), geomechanics, clean energy, sustainable mining and soft computing applications in mining.

Moshood is a fellow of the Southern African Institute of Mining and Metallurgy (SAIMM), a registered engineer on the Council for the Regulation of Engineers in Nigeria (COREN) and a member of different professional associations.

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Publications

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

Journals
DOI reference: 10.1016/j.fuel.2025.136065

Plugging the gaps: Sustainable resource policy and revenue leakages in Nigeria's small-scale lithium mining

Journals
DOI reference: 10.1016/j.exis.2025.101788

A novel grey relational analysis-based committee of machine learning methods for enhanced prediction of coal calorific value

Journals
DOI reference: 10.1016/j.fuel.2025.137070

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

Journals
DOI reference: 10.1007/s42461-025-01359-1

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

Journals
DOI reference: 10.17794/rgn.2026.1.12

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

Journals
DOI reference: 10.1002/dug2.70076

Harnessing Nigeria's mineral resources for sustainable infrastructure development: challenges and prospects

Journals
DOI reference: 10.1007/s13563-026-00665-4

Prediction of HGI of South African coalfields: a comparative application of ANN, SVR and LSTM models

Journals
DOI reference: 10.1080/19392699.2024.2339319

Enhancing gas drainage and ventilation efficiency in underground coal mines: A hybrid expert decision approach for booster fan prioritization

Journals
DOI reference: 10.1016/j.tust.2024.106153

Predicting the hardgrove grindability index using interpretable decision tree-based machine learning models

Journals
DOI reference: 10.1016/j.fuel.2024.133953

Dynamic Simulation of Heat Distribution and Losses in Cement Kilns for Sustainable Energy Consumption in Cement Production

Journals
DOI reference: 10.3390/su17020553

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

Journals
DOI reference: 10.1002/dug2.70024

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

Journals
DOI reference: 10.3390/machines13050367

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

Journals
DOI reference: 10.1007/s10706-025-03164-5

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

Journals
DOI reference: 10.17159/2411-9717/3686/2025

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

Journals
DOI reference: 10.17159/2411-9717/3685/2025

Evaluating the creditworthiness of a viable artisanal and small-scale mining operation

Journals
DOI reference: 10.17159/2411-9717/3627/2025

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

Journals
DOI reference: 10.1016/j.rockmb.2025.100219

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

Journals
DOI reference: 10.3390/mining5030048

Study on functional group evolution mechanisms and chemical kinetics during gas coal oxygen-free pyrolysis: Insights from high-temperature in-situ FTIR

Journals
DOI reference: 10.1016/j.jclepro.2025.146801

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

Journals
DOI reference: 10.1007/s40948-025-00990-y

Optimising tunnel support design with machine learning models

Journals
DOI reference: 10.1007/s12665-025-12573-x

Optimising ground support for mine tunnelling on the Great Dyke of Zimbabwe using analytical, empirical, and kinematic methods

Conference Proceedings
DOI reference: 10.56952/ARMA-2025-0589

Room and pillar layout analysis for a Great Dyke of Zimbabwe deposit

Conference Proceedings
DOI reference: 10.56952/ARMA-2025-0588

A Sustainable and Practical Machine Learning Approach Using Scikit-Learn for Predicting Stope Instability: Identification of Critical Geotechnical Factors

Journals
DOI reference: 10.17794/rgn.2025.5.14

An Artificial Intelligence-Based Modification to NHV Estimation of Biomass

Conference Proceedings
DOI reference: 10.1007/978-3-031-87558-8_45

A combined application of advanced statistical, soft computing and least square methods for the prediction of higher heating value of coal

Journals
DOI reference: 10.1080/19392699.2025.2593959

Real-Time Drilling Control for Hanging-Wall Stability: SCADA-Based Mitigation of Overbreak and Dilution in Long-Hole Stoping

Journals
DOI reference: 10.3390/mining5040068

Modernization of Hoisting Operations Through the Design of an Automated Skip Loading System-Enhancing Efficiency and Sustainability

Journals
DOI reference: 10.3390/mining5040062

Predictions of elemental composition of coal and biomass from their proximate analyses using ANFIS, ANN and MLR

Journals
DOI reference: 10.1007/s40789-020-00346-9

An Artificial Intelligence-based Model for the Prediction of Spontaneous Combustion Liability of Coal Based on Its Proximate Analysis

Journals
DOI reference: 10.1080/00102202.2020.1736577

Spontaneous Combustion Liability Indices of Coal

Journals
DOI reference: 10.1080/00102202.2020.1754208

Empirical Estimation of Uniaxial Compressive Strength of Rock: Database of Simple, Multiple, and Artificial Intelligence-Based Regressions

Journals
DOI reference: 10.1007/s10706-021-01772-5

On the dependence of predictive models on experimental dataset: a spontaneous combustion studies scenario

Journals
DOI reference: 10.1080/17480930.2021.1884336

Prediction of Mechanical Properties of Coal from Non-destructive Properties: A Comparative Application of MARS, ANN, and GA

Journals
DOI reference: 10.1007/s11053-021-09955-w

Countermeasures against coal spontaneous combustion: a review

Journals
DOI reference: 10.1080/19392699.2021.1920933

A comparative application of the Buckingham ? (pi) theorem, white-box ANN, gene expression programming, and multilinear regression approaches for blast-induced ground vibration prediction

Journals
DOI reference: 10.1007/s12517-021-07391-x

On the Application of the Novel Thin Spray-on Liner (TSL): A Progress Report in Mining Operations

Journals
DOI reference: 10.1007/s10706-021-01861-5

On the application of drones: a progress report in mining operations

Journals
DOI reference: 10.1080/17480930.2020.1804653

Towards an emergency preparedness for self-rescue from underground coal mines

Journals
DOI reference: 10.1016/j.psep.2021.03.049

Development of multiple soft computing models for estimating organic and inorganic constituents in coal

Journals
DOI reference: 10.1016/j.ijmst.2021.02.003

Determination of semi-mobile in-pit crushing and conveying (SMIPCC) system performance

Journals
DOI reference: 10.1007/s12517-021-06550-4

Influence of antioxidants on spontaneous combustion and coal properties

Journals
DOI reference: 10.1016/j.psep.2021.02.017

Prediction of rock penetration rate using a novel antlion optimized ANN and statistical modelling

Journals
DOI reference: 10.1016/j.jafrearsci.2021.104287

Moshood Onifade

Associate Professor, Mining Engineering

Biography

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