Moshood Onifade
Associate Professor, Mining Engineering
Moshood Onifade is an Associate Professor at the Institute of Innovation, Science and Sustainability, Federation University Australia. He has been recognized as a leading expert in mining engineering and his relevance in mining has been highlighted with support from the Coaltech Research Association of South Africa.
Moshood has published over 80 peer-reviewed research papers in high-impact journals. His publishing background reflects his national and international standing and international engagement with a variety of researchers, industry, and stakeholders. Moshood has attracted several grants and awards, and he is a reviewer of scientific papers for different internationally accredited journals.
He is a Fellow of the Southern African Institute of Mining and Metallurgy (SAIMM), a registered engineer of the Council for the Regulation of Engineers in Nigeria (COREN) and a member of different professional associations. Dr. Onifade has proven to be an academic with extremely high working standards and an excellent track record.
Google Scholar: https://scholar.google.com/citations?user=4voZX_EAAAAJ&hl=en
Dynamic Simulation of Heat Distribution and Losses in Cement Kilns for Sustainable Energy Consumption in Cement Production
Enhancing gas drainage and ventilation efficiency in underground coal mines: A hybrid expert decision approach for booster fan prioritization
Predicting the hardgrove grindability index using interpretable decision tree-based machine learning models
Prediction of HGI of South African coalfields: a comparative application of ANN, SVR and LSTM models
Comparative investigation of spontaneous combustion of biomass, hydrochar, coal and their blends using Wits-Ehac and thermogravimetric analysis
Geotechnical design for open pit coal mining in proximity to electrical power lines: risks, mitigation, and regulatory compliance
Investigation into the rock mass response to pillar extraction in a hard rock tabular mine
On the impact of Industrial Internet of Things (IIoT) - mining sector perspectives
Predictive modelling for coal abrasive index: Unveiling influential factors through Shallow and Deep Neural Networks
Prioritising the Experimental Procedures for Mode I Fracture Toughness Using Fuzzy Group Multi Criteria Decision Making (MCDM) Methods
Recent advances in blockchain technology: prospects, applications and constraints in the minerals industry
Towards application of positioning systems in the mining industry
A review of geospatial technology-based applications in mineral exploration
Challenges and applications of digital technology in the mineral industry
Effects of Proximate Analysis on Coal Ash Fusion Temperatures: An Application of Artificial Neural Network
Enhancement of efficient coal fragmentation through technological advancement
Inhibition of Spontaneous Combustion Characteristic of Biomass Treated with Imidazolium-Based Ionic Liquids Using Thermogravimetric Analysis
Numerical modeling application in the design of regional pillars for an ore-replacement project: underground platinum mining case study
Optimization of porous carbons for methane adsorption from South African coal wastes
Prediction of Thermal Coal Ash Behavior of South African Coals: Comparative Applications of ANN, GPR, and SVR
Recycling of Trees Planted for Phytostabilization to Solid Fuel: Parametric Optimization Using the Response Surface Methodology and Genetic Algorithm
Safe mining operations through technological advancement
A COMPARATIVE STUDY ON POWER CALCULATION METHODS FOR CONVEYOR BELTS IN MINING INDUSTRY
Application of metaheuristic based artificial neural network and multilinear regression for the prediction of higher heating values of fuels
Computational intelligence-based models for predicting the spontaneous combustion liability of coal
On the Performance Assessment of ANN and Spotted Hyena Optimized ANN to Predict the Spontaneous Combustion Liability of Coal
On the spontaneous combustion liability of South African coal: a report
Overview of mine rescue approaches for underground coal fires: A South African perspective
Predicting the peak particle velocity from rock blasting operations using Bayesian approach
Prediction of gross calorific value of solid fuels from their proximate analysis using soft computing and regression analysis
Prediction of thermal conductivity of granitic rock: an application of arithmetic and salp swarm algorithms optimized ANN
Self-heating characteristics of materials for producing activated carbon
The Spontaneous Combustion of Chemically Activated Carbons from South African Coal Waste
A comparative application of the Buckingham ? (pi) theorem, white-box ANN, gene expression programming, and multilinear regression approaches for blast-induced ground vibration prediction
An Artificial Intelligence-based Model for the Prediction of Spontaneous Combustion Liability of Coal Based on Its Proximate Analysis
Countermeasures against coal spontaneous combustion: a review
Determination of semi-mobile in-pit crushing and conveying (SMIPCC) system performance
Development of multiple soft computing models for estimating organic and inorganic constituents in coal
Empirical Estimation of Uniaxial Compressive Strength of Rock: Database of Simple, Multiple, and Artificial Intelligence-Based Regressions
Influence of antioxidants on spontaneous combustion and coal properties
On the application of drones: a progress report in mining operations
On the Application of the Novel Thin Spray-on Liner (TSL): A Progress Report in Mining Operations
On the dependence of predictive models on experimental dataset: a spontaneous combustion studies scenario
Prediction of Mechanical Properties of Coal from Non-destructive Properties: A Comparative Application of MARS, ANN, and GA
Prediction of rock penetration rate using a novel antlion optimized ANN and statistical modelling
Predictions of elemental composition of coal and biomass from their proximate analyses using ANFIS, ANN and MLR
Spontaneous Combustion Liability Indices of Coal
Towards an emergency preparedness for self-rescue from underground coal mines
Analysis of spontaneous combustion liability indices and coal recording standards/basis
An overview of conventional and non-conventional techniques for machining of titanium alloys
Application of gene expression programming, artificial neural network and multilinear regression in predicting hydrochar physicochemical properties
A review of research on spontaneous combustion of coal
Investigating the effects of gemstone mining on the environs: A case study of Komu in Southwestern Nigeria
Spontaneous combustion liability between coal seams: A thermogravimetric study
Technology adoption in mining: A multi-criteria method to select emerging technology in surface mines
The impact of mining on sustainable practices and the traditional culture of developing countries
A review of spontaneous combustion studies–South African context
Influence of organic and inorganic properties of coal-shale on spontaneous combustion liability
Performance evaluation of inorganic salts on spontaneous combustion liability
Spontaneous combustion liability of coal and coal-shale: a review of prediction methods
A new apparatus to establish the spontaneous combustion propensity of coals and coal-shales
Comparative analysis of coal and coal-shale intrinsic factors affecting spontaneous combustion
Modelling spontaneous combustion liability of carbonaceous materials
Prediction of the spontaneous combustion liability of coals and coal shales using statistical analysis
Spontaneous combustion of coals and coal-shales