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
2021
Conference Publication
Reinforcement learning control of a SAG mill grinding circuit: first impressions and implications for process control
Reyes, Francisco, Yahyaei, Mohsen, Hilden, Marko and Forbes, Gordon (2021). Reinforcement learning control of a SAG mill grinding circuit: first impressions and implications for process control. The XXX International Mineral Processing Congress, Cape Town, South Africa, 18-20 October 2020. Johannesburg, South Africa: The Southern African Institute of Mining and Metallurgy.
2021
Conference Publication
Comparison of novel and conventional bubble size measurement techniques
Forbes, L., Wang, J. and Forbes, G.R. (2021). Comparison of novel and conventional bubble size measurement techniques. XXX International Mineral Processing Congress, Cape Town, South Africa, 18 - 22 October 2020. Johannesburg, South Africa: SAIMM.
2021
Conference Publication
Data analytics guided by domain experts, a myth-busting tool
Forbes, Gordon, Reyes, Francisco, Hilden, Marko and Yahyaei, Mohsen (2021). Data analytics guided by domain experts, a myth-busting tool. Minería Digital 2021 - 8th International Congress of Automation, Robotics and Digitalization in Mining, Santiago, Chile, 10-12 November 2021.
2020
Other Outputs
Overloading phenomena in Ball Mills: analytics
Forbes, Gordon (2020). Overloading phenomena in Ball Mills: analytics. Brisbane, QLD, Australia: Julius Kruttschnitt Mineral Research Centre (JKMRC).
2020
Other Outputs
Validation of mass balance and model calibration in IES: Deliverable 3 report for CRC ORE
Forbes, Gordon (2020). Validation of mass balance and model calibration in IES: Deliverable 3 report for CRC ORE . P3-007 Brisbane, QLD Australia: The University of Queensland.
2020
Other Outputs
Validation of mass balance and model calibration in IES: Deliverable 2 Report for CRC ORE
Forbes, Gordon (2020). Validation of mass balance and model calibration in IES: Deliverable 2 Report for CRC ORE. P3-007 Brisbane, QLD, Australia: The University of Queensland.
2019
Other Outputs
Validation of mass balance and model calibration in IES: Deliverable 1 report for CRC ORE
Forbes, Gordon (2019). Validation of mass balance and model calibration in IES: Deliverable 1 report for CRC ORE. P3-007 Brisbane, QLD, Australia: The University of Queensland.
2019
Other Outputs
Frother characterisation
Wang, Junyu, Forbes, Liza and Forbes, Gordon (2019). Frother characterisation. Brisbane, QLD Australia: Sustainable Minerals Institute.
2011
Conference Publication
Using the Environmental Systems Modelling Platform (EnSym) to assess the impact of climate change on groundwater in the Port Phillip region
Ha, J., Showers, C., Forbes, G., Minchin, W., Eigenraam, M. and Chua, J. (2011). Using the Environmental Systems Modelling Platform (EnSym) to assess the impact of climate change on groundwater in the Port Phillip region. 19th International Congress on Modelling and Simulation (MODSIM), Perth, Australia, 12-16 December 2011. Christchurch, New Zealand: Modelling and Simulation Society Australia and New Zealand.
2010
Conference Publication
The Environmental Systems Modelling Platform (EnSym) to assess effects of land use changes on groundwater recharge
Ha, J., Eigenraam, M., Forbes, G., Lewis, W. and Chua, J. (2010). The Environmental Systems Modelling Platform (EnSym) to assess effects of land use changes on groundwater recharge. 5th Biennial Conference of the International Environmental Modelling and Software Society, iEMSs 2010, Ottawa, Ontario, Canada, 5 - 8 July 2010. International Environmental Modelling and Software Society.
2009
Journal Article
Precipitation of dodecyl amine in KCl-NaCl saturated brine and attachment of amine particles to KCl and NaCl surfaces
Burdukova, E., Laskowski, J. S. and Forbes, G. R. (2009). Precipitation of dodecyl amine in KCl-NaCl saturated brine and attachment of amine particles to KCl and NaCl surfaces. International Journal of Mineral Processing, 93 (1), 34-40. doi: 10.1016/j.minpro.2009.05.001
2008
Conference Publication
Machine vision measures for molybdenum grade modeling
Forbes, G., Bradshaw, D. and de Jager, G. (2008). Machine vision measures for molybdenum grade modeling. XXIV International Mineral Processing Congress, Beijiing, China, 24-28 September 2008. Beijing, China: Science Press.
2007
Journal Article
Unsupervised classification of dynamic froths
Forbes, G. and de Jager, G. (2007). Unsupervised classification of dynamic froths. SAIEE Africa Research Journal, 98 (2), 38-44.
2006
Conference Publication
Effective use of bubble size distribution measurements
Forbes, G. R., de Jager, G. and Bradshaw, D. J. (2006). Effective use of bubble size distribution measurements. XXIII International Mineral Processing Congress (IMPC 2006), Istanbul, Turkey, 3-8 September 2006. Istanbul, Turkey: Promed Advertising Ltd.
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
Supervision
Availability
- Dr Gordon Forbes is:
- Available for supervision
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Supervision history
Current supervision
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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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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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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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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, Associate Professor Anita Parbhakar-Fox
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Doctor Philosophy
Relationship of pyrite textures and composition on flotation performance in the Mount Isa copper deposit
Associate Advisor
Other advisors: Associate Professor Anita Parbhakar-Fox, Associate Professor Liza Forbes
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Doctor Philosophy
Study of Application of Machine Learning and Deep Learning Algorithms in Resource Estimation
Associate Advisor
Other advisors: Associate Professor Carlos Spier, Professor Rick Valenta
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Doctor Philosophy
Relationship of pyrite textures and composition on flotation performance at Mount Isa copper deposit
Associate Advisor
Other advisors: Associate Professor Anita Parbhakar-Fox, Associate Professor Liza Forbes
Completed supervision
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2024
Doctor Philosophy
Study of Application of Machine Learning and Deep Learning in Resource Estimation
Associate Advisor
Other advisors: Associate Professor Carlos Spier, Professor Rick Valenta
Media
Enquiries
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