Overview
Background
Gordon holds a PhD in Chemical Engineering from the University of Cape Town, South Africa, which focused on the application of machine vision, image processing and machine learning algorithms for modelling grade in froth flotation systems.
Gordon spent ten years working for the Victorian Government developing technical computing and modelling solutions. These included the development of the Environmental Systems Modelling Platform, a tool that aims to bring multiple environmental models and datasets into a single easy to use software package, and the development of the Native Vegetation Regulations Tool, to calculate the interactions between proposed clearings and models of rare and threatened species, and thereby determine the required offset credits. More recently, Gordon worked as a data scientist at the Victorian Centre for Data Insights, where he worked with a team focused on delivering innovative data driven solutions across the government sector.
Gordon now applies his data analytics, modelling and technical computing skills at the JKMRC where he works with the Advanced Process Prediction and Control group developing tools for improved time series analysis and visualisation of industrial data and comminution process models.
Availability
- Dr Gordon Forbes is:
- Available for supervision
Fields of research
Qualifications
- Bachelor of Science in Electrical Engineering, University of Cape Town
- Masters (Research), University of Cape Town
- Doctor of Philosophy, University of Cape Town
Research interests
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Soft sensors and modelling
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Data analytics
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Xray tomography
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Machine learning
Works
Search Professor Gordon Forbes’s works on UQ eSpace
2005
Conference Publication
The use of a colour parameter in a machine vision system, SmartFroth, to evaluate copper flotation performance at Rio Tinto’s Kennecott Utah copper concentrator
Morar, S. H., Forbes, G., Heinrich, G. S. and Bradshaw, D. J. (2005). The use of a colour parameter in a machine vision system, SmartFroth, to evaluate copper flotation performance at Rio Tinto’s Kennecott Utah copper concentrator. Centenary of Flotation Symposium 2005, Brisbane, Qld, Australia, 6-9 June 2005. Carlton, Vic., Australia: Australasian Institute of Mining and Metallurgy (AusIMM).
Funding
Current funding
Supervision
Availability
- Dr Gordon Forbes is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
Evaluation of the environmental reactivity of porphyry copper ore and gangue before and after mining and processing
Associate Advisor
Other advisors: Dr Nathan Fox, Honorary Professor Anita Parbhakar-Fox
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Doctor Philosophy
Improving Mineral Processing Liberation Measurement by coupling X-Ray Tomography and 2D SEM Information
Associate Advisor
Other advisors: Associate Professor Kym Runge
Completed supervision
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2025
Doctor Philosophy
Machine Learning for Identification of Operating States in SABC Circuits
Principal Advisor
Other advisors: Dr Marko Hilden, Professor Mohsen Yahyaei
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2025
Doctor Philosophy
Relationship of pyrite textures and composition on flotation performance at Mount Isa copper deposit
Associate Advisor
Other advisors: Honorary Professor Anita Parbhakar-Fox, Associate Professor Liza Forbes
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2024
Doctor Philosophy
Study of Application of Machine Learning and Deep Learning in Resource Estimation
Associate Advisor
Other advisors: Professor Rick Valenta
Media
Enquiries
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