Programme People
The people behind the questions.
Meet the RAMMS staff and the students who have approved a public profile. Student profiles are published individually only after their profile and public details have been explicitly approved.
Programme staff
7 programme leads and staff
Dr Johann Wannenburg
Johann supervises part-time research in mine productivity, reliability, predictive maintenance and asset-management decision support.
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Dr Luke van Eyk
Luke develops digital-twin and hybrid-modelling methods for safer, more productive mechanised mining systems and helps coordinate student research.
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Dr Stephan Schmidt
Stephan supervises modelling and machine-intelligence research, including visual odometry, engine models and conveyor digital twins.
View detailsMiss Thobeka Masango
Thobeka supports RAMMS research delivery through programme coordination, financial reporting, stakeholder liaison and research administration.
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Prof Abrie Oberholster
Abrie supervises the diamond core-drill digital-twin research and supports experimental machine-dynamics work in RAMMS.
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Prof Francois Malan
Francois leads RAMMS mining-engineering research and contributes rock-engineering expertise to mechanisation and stability studies.
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Prof Stephan Heyns
Professor Stephan Heyns coordinates RAMMS and leads work in condition monitoring, structural health monitoring and engineering digital twins at the University of Pretoria.
View detailsResearch thrust 01
Cutting and Drilling Hard Rock
1 current students and alumni connected to this thrust.
Research thrust 02
Productivity and Maintenance Optimisation of Mining Equipment
1 current students and alumni connected to this thrust.
Research thrust 03
Utilisation, Performance and Condition Monitoring of Mechanised Mining Equipment
2 current students and alumni connected to this thrust.
Phemelo Thapedi Selomane
Phemelo is developing a digital-twin framework that combines conveyor-system dynamics and machine learning to support condition-based maintenance in mining.
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Vincent L. Kikanga
Vincent is developing a dynamic model of mining conveyance and shaft-guide interaction as a foundation for a digital twin of mine hoisting systems.
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