About
Professional SummaryDr. Manoj Khandelwal is an Associate Professor and Undergraduate and Postgraduate Program Coordinator of mining engineering at Federation University Australia and is an Australian Endeavour Fellow. Before joining Federation University Australia, Dr Khandelwal worked as an Assistant Professor of mining engineering at Maharana Pratap University of Agriculture & Technology, India. Dr Khandelwal was a postdoctoral researcher at Monash University, Australia and a Senior Research Fellow at the Central Institute of Mining & Fuel Research, Dhanbad, India. Dr Khandelwal has more than twenty years of research and teaching experience in Australia and India. Dr Khandelwal has been recognized as a leading expert in mining geomechanics and rock blasting.
Employment
Professional Appointments
Adjunct Professor
Ton Duc Thang University
Education
Academic Background-
Ph.D. Indian Institute of Technology, Bombay, India Rock Blasting | Completed: 2007
Publications (93)
Selected Scholarly Contributions
Mine-to-Crusher Optimization: Focusing on Rock Fragmentation and Energy Efficiency
2026
From Global Accuracy to Reliable Decisions: A Reliability-Aware Selective Prediction Framework for Maximum Dry Density of Expansive Soils
2026
Geoelectric and vulnerability assessment of aquifers in recharge, discharge and intermediate zones of Southwestern Nigeria
2026
Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design
2026
A Hybrid LightGBM–WOA Model for Accurate Prediction of Back‐Break in Mine Blasting Operations: A Case Study
2026
Permeability Prediction of Soil–Rock Mixtures Using Hybrid Machine Learning Considering Matrix Composition and Rock Content
2026
An optimized machine learning framework for prediction of coal abrasive index: Leveraging supervised learning, metaheuristic optimization, and interpretability analysis
2026
Hybrid Machine Learning with Metaheuristic Optimization for Predicting Peak Particle Velocity in Open-Pit Mines
2026
Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe
2026
Assessing Circularity Readiness in Data-Scarce Contexts: A Regional Framework for Environmental Resource Sectors in Vietnam
2026
An Integrated Multi-Criteria Risk-Assessment Framework for Rockburst in Underground Construction
2026
Harnessing Nigeria’s mineral resources for sustainable infrastructure development: challenges and prospects
2026
Interpretable Machine Learning for Predicting Blast-Induced Particulate Matter Emissions in Surface Mines
2026
Ensemble-Based
Explainable Machine Learning Framework
to Predict CO2 Adsorption Capacity of Coal
2026
A Multidimensional Cloud Model with FDAHP–Objective Combined Weighting for Quantitative Rock Drillability Classification
2026
From lithium to sodium: critical metals for next-generation energy storage
2026
Modern mining sustainability: An integrated framework for technology innovation, operational trade-offs, and implementation barriers
2026
Physics-Consistent Monotonic Machine Learning for RMR Prediction from Q-System Parameters Under Duplicate-Aware Validation
2026
Toward Practical Rock Mass Classification and Conversion: An Interpretable Data-Driven Framework for Mapping Q-System Parameters to RMR
2026
A Fuzzy Multi-Criteria Decision-Making Framework for Optimal Mining Method Selection in Complex Geological Conditions
2026
Surgical face masks as reinforcement to improve the tensile mode fracture toughness of reinforced concrete under three-point bending tests
2025
Optimisation of Ensemble Learning Algorithms for Geotechnical Applications: A Mathematical Approach to Relative Density Prediction
2025
Optimized Random Forest Models for Rock Mass Classification in Tunnel Construction
2025
Stability analysis and prediction of Bimslope failures using numerical modelling and hybrid meta-heuristic models
2025
Ground Settlement Prediction in Urban Tunnelling: Leveraging Metaheuristic-Optimized Random Forest Models
2025
Intelligent Decision Framework for Booster Fan Optimization in Underground Coal Mines: Hybrid Spherical Fuzzy-Cloud Model Approach Enhancing Ventilation Safety and Operational Efficiency
2025
Optimized Slope Stability Assessment Using an Intuitionistic Fuzzy MCDM Approach for LEM Model Selection
2025
Evaluating destress blasting for rock fracture and rockburst prediction in deep level hardrock mining
2025
Interpretable Ensemble Learning with Lévy Flight-Enhanced Heuristic Technique for Strength Prediction of MICP-Treated Sands
2025
Modeling the Abrasive Index from Mineralogical and Calorific Properties Using Tree-Based Machine Learning: A Case Study on the KwaZulu-Natal Coalfield
2025
Optimizing Random Forest with Hybrid Swarm Intelligence Algorithms for Predicting Shear Bond Strength of Cable Bolts
2025
Interpretable Machine Learning for Predicting Cutting Force of Tunnel Boring Machine: A Study on SVR With Meta‐Heuristic Optimization
2025
Deep learning-powered rock mass classification: Predicting RMR from Q-system parameters with high accuracy
2025
2025
Enhancing tunnel safety with machine learning models for ground behavior prediction
2025
Graded Evaluation and Optimal Scheme Selection of Mine Rock Diggability Based on the Multidimensional Cloud Model
2025
Hybrid pillar stress analysis: Integrating numerical modelling, machine learning, and geostatistics for improved stability in hardrock mining
2025
Optimisation of stope support system using kinematic analysis and numerical modelling – A sustainable mining approach
2025
Hybrid statistical-algorithmic approach using the frog algorithm to optimize blast patterns for reducing blast vibrations
2025
Ground-Type Classification from Earth-Pressure-Balance Shield Operational Data with Uncertainty Quantification
2025
Genetic justification ofCOVID‐19 patient outcomes usingDERGA, a novel data ensemble refinement greedy algorithm
2024
Impact of Velocity of Detonation and Charge per Bank Cubic Meters on Flyrock Throw Prediction Using Support Vector Machine
2024
Occurrence mechanism and prevention technology of rockburst, coal bump and mine earthquake in deep mining
2024
Estimating, appraising and establishing blast exclusion zone at Huni pit - A case study
2024
2024
Prediction of rock fragmentation in a fiery seam of an open-pit coal mine in India
2024
Predictive modelling for coal abrasive index: Unveiling influential factors through Shallow and Deep Neural Networks
2024
Comprehensive review and future perspectives on prediction and mitigation of tunnel-induced ground settlement: A bibliometric analysis and methodological overview (2002–2022)
2024
Estimating the mean cutting force of conical picks using random forest with salp swarm algorithm
2023
The Lithium-Ion Battery Recycling Process from a Circular Economy Perspective—A Review and Future Directions
2023
Image based probabilistic slope stability analysis of soil layer interface fluctuations with Brownian bridges
2023
Adaptive phase-field modelling of fracture propagation in poroelastic media using the scaled boundary finite element method
2023
Application of KRR, K-NN and GPR Algorithms for Predicting the Soaked CBR of Fine-Grained Plastic Soils
2023
Comparative Evaluation of Empirical Approaches and Artificial Intelligence Techniques for Predicting Uniaxial Compressive Strength of Rock
2023
A true triaxial strength criterion for rocks by gene expression programming
2023
Mine-to-crusher policy: Planning of mine blasting patterns for environmentally friendly and optimum fragmentation using Monte Carlo simulation-based multi-objective grey wolf optimization approach
2022
Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion
2022
Stability evaluation of dump slope using artificial neural network and multiple regression
2022
Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration
2022
Stability Prediction of Residual Soil and Rock Slope Using Artificial Neural Network
2022
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting
2022
Experimental investigation and theoretical analysis of indentations on cuboid hard rock using a conical pick under uniaxial lateral stress
2022
Six Novel Hybrid Extreme Learning Machine–Swarm Intelligence Optimization (ELM–SIO) Models for Predicting Backbreak in Open-Pit Blasting
2022
Mineral Composition and Grain Size Effects on the Fracture and Acoustic Emission (AE) Characteristics of Rocks Under Compressive and Tensile Stress
2022
Utilization Methods and Practice of Abandoned Mines and Related Rock Mechanics under the Ecological and Double Carbon Strategy in China—A Comprehensive Review
2022
COSMA-RF: New intelligent model based on chaos optimized slime mould algorithm and random forest for estimating the peak cutting force of conical picks
2022
Mineral Texture Identification Using Local Binary Patterns Equipped with a Classification and Recognition Updating System (CARUS)
2022
Prediction of Blast-Induced Ground Vibration at a Limestone Quarry: An Artificial Intelligence Approach
2022
Computing Elastic Moduli of Igneous Rocks Using Modal Composition and Effective Medium Theory
2022
2022
2022
2021
Prediction and Assessment of Rock Burst Using Various Meta-heuristic Approaches
2021
Stress–strain relationship of sandstone under confining pressure with repetitive impact
2021
Low amplitude fatigue performance of sandstone, marble, and granite under high static stress
2021
Intelligent modeling of blast-induced rock movement prediction using dimensional analysis and optimized artificial neural network technique
2021
Performance of Hybrid SCA-RF and HHO-RF Models for Predicting Backbreak in Open-Pit Mine Blasting Operations
2021
Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations
2021
Proposing a novel comprehensive evaluation model for the coal burst liability in underground coal mines considering uncertainty factors
2021
Evaluation and Assessment of Blast-Induced Ground Vibrations in an Underground Gold Mine: A Case Study
2021
An evolutionary adaptive neuro-fuzzy inference system for estimating field penetration index of tunnel boring machine in rock mass
2021
Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms
2021
Optimization of blasting design in open pit limestone mines with the aim of reducing ground vibration using robust techniques
2020
Stability prediction of Himalayan residual soil slope using artificial neural network
2020
Waveform features and failure patterns of hollow cylindrical sandstone specimens under repetitive impact and triaxial confinements
2020
Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples
2018
Development of a precise model for prediction of blast-induced flyrock using regression tree technique
2017
An expert system based on hybrid ICA-ANN technique to estimate macerals contents of Indian coals
2017
Study of crack propagation in concrete under multiple loading rates by acoustic emission
2017
Prediction of Drillability of Rocks with Strength Properties Using a Hybrid GA-ANN Technique
2016
RETRACTED ARTICLE: Function finding for indirect determination of rock brittleness based on genetic programming and non-linear multiple regression models
2016
Differential evolution algorithm for predicting blast induced ground vibrations
2015
Evaluation of dump slope stability of a coal mine using artificial neural network
2015