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.
Conference Publication: An object-based image recognition approach methodology for pyrite texture quantification in flotation performance studies
Jefferson, Mayra, Forbes, Gordon, Brown, Elliot, Curtis-Morar, Catherine, Parbhakar-Fox, Anita and Elizaveta Forbes (2023). An object-based image recognition approach methodology for pyrite texture quantification in flotation performance studies. Procemin-GEOMET, Santiago, Chile, 4-6 October 2023.
Conference Publication: Identification of semi-autogenous grinding mill operating states using clustering
Adhikari, Niranjan, Forbes, Gordon, Hilden, Marko and Yahyaei, Mohsen (2023). Identification of semi-autogenous grinding mill operating states using clustering. SAG 2023, Vancouver, BC, Canada, 24-28 September 2023.
Conference Publication: Mine-to-mill the next phase—incorporating soft sensors and data analytics
Madrid, P., Forbes, G., Vizcarra, T., Hilden, M. and Wong, B. (2023). Mine-to-mill the next phase—incorporating soft sensors and data analytics. SAG 2023, Vancouver, BC, Canada, 24-28 September 2023.
Mill Filling Inference Tool - Cadia Valley Operations
(2023–2024) NewCrest Mining Limited
RhoVol data analysis for modelling
(2023–2024) Anglo American Services (UK) Ltd
Cyclone Performance Sensor (CycloPS) - Cadia and Vertical Mill Filling Inference Tool (VMillFIT)
(2023) NewCrest Mining Limited
Machine Learning for Identification of Operating States in SABC Circuits
Doctor Philosophy
Study of Application of Machine Learning and Deep Learning Algorithms in Resource Estimation
Doctor Philosophy
Evaluation of the environmental reactivity of porphyry copper ore and gangue before and after mining and processing
Doctor Philosophy
Battalgazy, Nurassyl, Valenta, Rick, Gow, Paul, Spier, Carlos and Forbes, Gordon (2023). Addressing geological challenges in mineral resource estimation: a comparative study of deep learning and traditional techniques. Minerals, 13 (7) 982, 982. doi: 10.3390/min13070982
Frother characterization using a novel bubble size measurement technique
Wang, Junyu, Forbes, Gordon and Forbes, Elizaveta (2022). Frother characterization using a novel bubble size measurement technique. Applied Sciences, 12 (2) 750, 750. doi: 10.3390/app12020750
Verrier, Brunilde, Smith, Carl, Yahyaei, Mohsen, Ziemski, Marcin, Forbes, Gordon, Witt, Kathy and Azadi, Mehdi (2021). Beyond the social license to operate: whole system approaches for a socially responsible mining industry. Energy Research and Social Science, 83 102343, 102343. doi: 10.1016/j.erss.2021.102343
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
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.
Jefferson, Mayra, Forbes, Gordon, Brown, Elliot, Curtis-Morar, Catherine, Parbhakar-Fox, Anita and Elizaveta Forbes (2023). An object-based image recognition approach methodology for pyrite texture quantification in flotation performance studies. Procemin-GEOMET, Santiago, Chile, 4-6 October 2023.
Identification of semi-autogenous grinding mill operating states using clustering
Adhikari, Niranjan, Forbes, Gordon, Hilden, Marko and Yahyaei, Mohsen (2023). Identification of semi-autogenous grinding mill operating states using clustering. SAG 2023, Vancouver, BC, Canada, 24-28 September 2023.
Mine-to-mill the next phase—incorporating soft sensors and data analytics
Madrid, P., Forbes, G., Vizcarra, T., Hilden, M. and Wong, B. (2023). Mine-to-mill the next phase—incorporating soft sensors and data analytics. SAG 2023, Vancouver, BC, Canada, 24-28 September 2023.
Trusted automation, the pathway toward process automation of SABC circuits
Yahyaei, M., Hilden, M. and Forbes, G. (2023). Trusted automation, the pathway toward process automation of SABC circuits. SAG 2023, Vancouver, BC, Canada, 24-28 September 2023.
Trusted automation, the pathway toward process automation of SABC circuits
Yahyaei, M., Hilden, M. and Forbes, G. (2023). Trusted automation, the pathway toward process automation of SABC circuits. SAG Conference 2023, Vancouver, BC Canada, 24-28 September 2023.
Data analytics and modelling for trustable process automation
Yahyaei, Mohsen, Forbes, Gordon and Hilden, Marko (2023). Data analytics and modelling for trustable process automation. 10th International Congress on Automation, Robotics and Digitalization in Mining, Santiago, Chile, 9-11 August 2023.
Seligmann, B.J., Micklethwaite, S., Forbes, G., Lin, Y., Trendle, J., Bowdidge-Calvert, C., Verster, I., Antonio, C., Ziemski, M. and Hernandez-Santin, L. (2023). Integration will take you forward: causal networks as a new approach to address inherent problems with risk management practice in mining organisations. 26th World Mining Congress, Brisbane, QLD Australia, 26-29 June 2023. Brisbane, QLD Australia: 26th World Mining Congress.
Linking ore type with process performance
Forbes, Gordon, Reyes, Francisco, Madrid, Percy, Wong, Bevin and Yahyaei, Mohsen (2023). Linking ore type with process performance. 26th World Mining Congress, Brisbane, QLD, Australia, 26-29 June 2023.
Detection of ball mill overloading using dynamic time warping
Adhikari, Niranjan, Forbes, Gordon, Hilden, Marko and Yahyaei, Mohsen (2022). Detection of ball mill overloading using dynamic time warping. IMPC Asia-Pacific 2022, Melbourne, Australia, 22-24 August 2022. Carlton, VIC, Australia: The Australasian Institute of Mining and Metallurgy.
Soft Sensors for Advanced Process Monitoring and Control of Comminution Circuits
Hilden, Marko, Reyes, Francisco, Ye, Ziming, Jokovic, Vladimir, Forbes, Gordon and Yahyaei, Mohsen (2022). Soft Sensors for Advanced Process Monitoring and Control of Comminution Circuits. IMPC Asia Pacific 2022, Melbourne, VIC Australia, 22-24 August 2022. Carlton, VIC Australia: Australasian Institute of Mining and Metallurgy.
Soft sensors and their application in advanced process control of mineral processing plants
Yahyaei, Mohsen, Hilden, Marko, Reyes, Francisco and Forbes, Gordon (2021). Soft sensors and their application in advanced process control of mineral processing plants. Procemin-Geomet 2021, Santiago, Chile, 20-22 October 2021. Santiago, Chile: Gecamin.
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.
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.
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.
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.
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.
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.
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.
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).
SAG Advanced Process Control review: Final report for Dugald River Mine
Yahyaei, Mohsen, Hilden, Marko, Forbes, Gordon and Meng, Yuhao (2023). SAG Advanced Process Control review: Final report for Dugald River Mine. Brisbane, Australia: The University of Queensland, Julius Kruttschnitt Mineral Research Centre (JKMRC).
Overloading phenomena in Ball Mills: analytics
Forbes, Gordon (2020). Overloading phenomena in Ball Mills: analytics. Brisbane, QLD, Australia: Julius Kruttschnitt Mineral Research Centre (JKMRC).
Validation of mass balance and model calibration in IES
Forbes, Gordon (2020). Validation of mass balance and model calibration in IES. Indooroopilly, QLD Australia: JKMRC.
Validation of mass balance and model calibration in IES
Forbes, Gordon (2020). Validation of mass balance and model calibration in IES. Brisbane, QLD, Australia: JKMRC, Sustainable Minerals Institute.
Validation of mass balance and model calibration in IES
Forbes, Gordon (2019). Validation of mass balance and model calibration in IES. Brisbane, QLD, Australia: JKMRC, Sustainable Minerals Institute.
Wang, Junyu, Forbes, Liza and Forbes, Gordon (2019). Frother characterisation. Brisbane, QLD Australia: Sustainable Minerals Institute.
Mill Filling Inference Tool - Cadia Valley Operations
(2023–2024) NewCrest Mining Limited
RhoVol data analysis for modelling
(2023–2024) Anglo American Services (UK) Ltd
Cyclone Performance Sensor (CycloPS) - Cadia and Vertical Mill Filling Inference Tool (VMillFIT)
(2023) NewCrest Mining Limited
Soft sensor for Prediciting Dense Medium Cyclones Performance (214-ACARPSOFT)
(2022–2024) Australian Coal Association Research Program
Development of integrated process models in IES and technology transfer
(2021–2022) AngloGold Ashanti Australia Limited
A Complex Orebodies Review of the Izok Lake Corridor Project (304MMGIZOK)
(2021) MMG Australia Limited
(2021) AngloGold Ashanti Australia Limited
Overloading phenomena in Ball Mills
(2019–2020) Anglo American Services (UK) Ltd
P3-007 Validation of mass balance and model calibration in IES (P9Q AR)
(2019–2020) Cooperative Research Centre for Optimising Resource Extraction Ltd
Transferring MDK models into IES
(2019–2020) Anglo American Services (UK) Ltd
Characterisation of frother formulations in a two-phase system
(2019) Anglo Coal (Mornabah North Managment)
Expansion of the energy curve to achieve critical mass of copper and gold mines internationally
(2015–2019) CEEC International Limited
Machine Learning for Identification of Operating States in SABC Circuits
Doctor Philosophy — Principal Advisor
Other advisors:
Study of Application of Machine Learning and Deep Learning Algorithms in Resource Estimation
Doctor Philosophy — Associate Advisor
Other advisors:
Evaluation of the environmental reactivity of porphyry copper ore and gangue before and after mining and processing
Doctor Philosophy — Associate Advisor
Other advisors:
Flotation properties of base metal sulphides in composite particles, as a function of their mineral chemistry.
Doctor Philosophy — Associate Advisor