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Erkan Topal

Professor

Curtin University

Australia

Research Interests

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Professors in Australia Professors in Mining Engineering Mining Engineering professors in Australia

About

Professor Erkan Topal is a faculty member at Curtin University in Australia. His research areas include underground mine planning, machine learning applications in mining, and analytical modeling of geological stress orientations. Recent articles highlight his work on predictive models for mining operations, sustainable scheduling methods, and the impact of investor behavior on commodities during global events.

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2020

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2020

Collaborators (5)

Ping Chang

Senior Lecturer

Curtin University

AUSTRALIA

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Phillip Stothard

Senior Lecturer

Curtin University

AUSTRALIA

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Alfonso Rodriguez-Dono

Lecturer

Universitat Politècnica de Catalunya

SPAIN

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Elham Mardaneh

Associate Professor of Industrial Optimisation

Curtin University

AUSTRALIA

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Zhenjiang You

University of Queensland

AUSTRALIA

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Erkan Topal

Research Interests

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About

Articles (38)

Metaheuristic approaches for open-pit mine production scheduling: a comprehensive review

A combined air volume prediction model for hazardous mine tunnels using directed graph convolutional neural networks

A Systematic Review of Path Planning for Mining Fleet Automation: Trends, Challenges, and Future Directions

Hybrid Metaheuristic-ANFIS Framework for Predicting and Inversely Optimizing Blast-Induced Flyrock: Social Spider and Salp Swarm Synergy

Machine learning approaches for overbreak and underbreak prediction in underground mining: a literature review

State-of-the-Art Path Optimisation for Automated Open-Pit Mining Drill Rigs: A Deterministic Approach

Interval combination prediction of mine tunnel air volume using improved spiking neural network for error correction

Safety Support Design and Sustainable Guarantee Method for Gob-Side Roadway Along Thick Coal Seams

Assessing the Performance of a Cascaded Composite Phase Change Material Roadway Cooling System Against Heat Hazard from Sustainable Mine Geothermal Energy

Comparative analysis of mathematical models for integrated production scheduling and sustainable waste management in open-pit mining complexes

Production scheduling optimisation using mixed integer programming with machine learning dilution prediction capabilities for underground open stoping operations

Study on the flow and diffusion behavior of coal gangue slurry in subsequent space after mining: physical and numerical simulation

A new simulated annealing algorithm for simultaneous open-pit and waste dump scheduling in mining complexes

Predicting overbreak and underbreak in underground longhole stoping using meta-soft computing models

Creep Characteristics and Fractional-Order Constitutive Modeling of Gangue–Rock Composites: Experimental Validation and Parameter Identification

Dilution prediction in underground open stope mining using gene expression programming and backpropagation artificial neural network algorithms

Tunnel Overbreak Prediction: An Integrated Approach Using 3D Photogrammetry and Machine Learning

A Viscoelastic-Plastic Creep Model for Initial Damaged Coal Sample Affected by Loading Rate

Interval combined prediction of mine tunnel’s air volume considering multiple influencing factors

A novel model for sustainable production scheduling of an open-pit mining complex considering waste encapsulation

Concurrent optimisation of open pit ore and waste movement with optimal haul road selection

Mine Closure Surveillance and Feasibility of UAV–AI–MR Technology: A Review Study

The future of underground mine planning in the era of machine learning: Opportunities for engineering robustness and flexibility

Development of Novel Hybrid Intelligent Predictive Models for Dilution Prediction in Underground Sub-level Mining

An analytical modelling of the rotation of in-situ principal stresses orientation in the vicinity of an underground opening

A new layered rock constitutive model incorporating confining pressure and bedding angle weights based on orthogonal matrix analysis

A heuristic method for production scheduling of an open pit mining operation

Investor Behavior in Gold, US Dollars and Cryptocurrency during Global Pandemics

A review of open pit mine and waste dump schedule planning

Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings

Review of machine learning application in mine blasting

Performance of different models in iron ore price prediction during the time of commodity price spike

Relationship of iron ore price with other major commodity prices

Mineral grade estimation using gradient boosting regression trees

Pattern search method for accelerating Stope boundary optimization problem in underground mining operations

A new ore grade estimation using combine machine learning algorithms

Development of 3D rock fragmentation measurement system using photogrammetry

Transformation of the Australian mining industry and future prospects

Collaborators (5)

Ping Chang

Phillip Stothard

Alfonso Rodriguez-Dono

Elham Mardaneh

Zhenjiang You

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