People & Students

The people behind the questions.

Meet the staff and collaborators supporting RAMMS, then explore current students and alumni through the programme’s three connected research thrusts. Cross-thrust work appears in each relevant group.

Programme staff

7 programme leads and staff

Five RAMMS team members standing in an outdoor University of Pretoria amphitheatre
Members of the RAMMS programme team at the University of Pretoria. The programme connects mining and mechanical engineering, research coordination and postgraduate supervision.
Portrait of Johann Wannenburg
Research Supervisor · Asset Managementassociate

Dr Johann Wannenburg

Johann supervises part-time research in mine productivity, reliability, predictive maintenance and asset-management decision support.

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Portrait of Dr Luke van Eyk in academic dress
Researcher · Digital Twins and Mechanised Systemscurrent

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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Portrait of Dr Stephan Schmidt
Research Supervisor · Mechanical Engineeringcurrent

Dr Stephan Schmidt

Stephan supervises modelling and machine-intelligence research, including visual odometry, engine models and conveyor digital twins.

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Portrait of Professor Abrie Oberholster
Research Supervisor · Mechanical Engineeringcurrent

Prof Abrie Oberholster

Abrie supervises the diamond core-drill digital-twin research and supports experimental machine-dynamics work in RAMMS.

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Portrait of Professor Francois Malan
Research Competence Leader · Mining Engineeringcurrent

Prof Francois Malan

Francois leads RAMMS mining-engineering research and contributes rock-engineering expertise to mechanisation and stability studies.

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Portrait of Professor Stephan Heyns
Research Competence Leader · Mechanical Engineeringcurrent

Prof Stephan Heyns

Stephan coordinates RAMMS and leads mechanical-engineering research in digital twins, asset integrity and equipment performance.

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Thobeka Masango speaking at a programme event
Administrative Officercurrent

Thobeka Masango

Thobeka supports RAMMS programme administration and the coordination of its research, reporting and student activities.

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Research thrust 01

Cutting and Drilling Hard Rock

6 current students and alumni connected to this thrust.

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Research thrust 02

Productivity and Maintenance Optimisation of Mining Equipment

9 current students and alumni connected to this thrust.

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MEng Mechanical Engineering · University of Pretoriaalumni

Bismarck Louw

Bismarck developed a KPI-focused hybrid model of a Cummins QSB6.7 engine used in underground load-haul-dump vehicles.

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MEng Mechanical Engineering · University of Pretoriacurrent

Christophar Chagwedera

Christophar is developing a RAM-C-based decision model for choosing effective maintenance-sourcing strategies in mining operations.

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MEng Mechanical Engineering · University of Pretoriacurrent

Dion de Villiers

Dion uses discrete-event simulation and mine case studies to identify practical productivity improvements in mechanised operations.

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MEng Mechanical Engineering · University of Pretoriacurrent

Gael Mutombo

Gael models vibratory-screen dynamics to improve condition monitoring, supported by experimental measurements and industry collaboration.

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MEng Mechanical Engineering · University of Pretoriacurrent

Hloni Manyakoana

Hloni models the platinum-mining production cycle to test productivity and maintenance decisions before they are made underground.

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MEng Mechanical Engineering · University of Pretoriaalumni

Hlulani Rikhotso

Hlulani participated in RAMMS research on maintenance strategies for equipment in underground hard-rock operations.

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MEng Mechanical Engineering · University of Pretoriacurrent

Lesiba Moja

Lesiba applies reliability, availability and maintainability studies to productivity-critical components at remote mine operations.

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MEng Mechanical Engineering · University of Pretoriacurrent

Phemelo Selomane

Phemelo is building a conveyor-system digital twin for predictive maintenance, energy efficiency and safer operation.

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MSc Applied Science · University of Pretoriacurrent

Ryno Strydom

Ryno studies how digitalisation and predictive maintenance can strengthen physical-asset management in mining organisations.

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Research thrust 03

Utilisation, Performance and Condition Monitoring of Mechanised Mining Equipment

9 current students and alumni connected to this thrust.

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MEng Mechanical Engineering · University of Pretoriacurrent

Adam Neethling

Adam is developing underground visual odometry with deep-learning feature extraction and uncertainty-aware drift correction.

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MEng Mechanical Engineering · University of Pretoriaalumni

Bismarck Louw

Bismarck developed a KPI-focused hybrid model of a Cummins QSB6.7 engine used in underground load-haul-dump vehicles.

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BEng Mechanical Engineering · University of Pretoriacurrent

Franco Prins

Franco is exploring road-condition monitoring as an undergraduate contribution to data-informed mechanised mining systems.

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MEng Mechanical Engineering · University of Pretoriacurrent

Gael Mutombo

Gael models vibratory-screen dynamics to improve condition monitoring, supported by experimental measurements and industry collaboration.

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MEng Mechanical Engineering · University of Pretoriacurrent

Hanno Moes

Hanno developed a multi-physics digital twin of an Epiroc Scooptram ST14 to study terrain, braking and collision scenarios.

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MEng Mechanical Engineering · University of Pretoriacurrent

I'yaaz Kala

I'yaaz is building a Simscape diesel-engine model for LHD digital twins, performance studies and collision-avoidance simulations.

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MEng Mechanical Engineering · University of Pretoriacurrent

Phemelo Selomane

Phemelo is building a conveyor-system digital twin for predictive maintenance, energy efficiency and safer operation.

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PhD Mechanical Engineering · University of Pretoriacurrent

Vincent Kikanga

Vincent is extending multi-physics modelling to mine-shaft conveyance dynamics and steelwork-integrity inspection.

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PhD Mechanical Engineering · University of Pretoriacurrent

Zvikomborero Hweju

Zvikomborero is developing and validating a digital twin of a diamond core drill under changing rock, wear and control conditions.

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Collaborators

1 research collaborators