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Dr Gordon Forbes
Dr

Gordon Forbes

Email: 
Phone: 
+61 7 336 55839

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

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

  • Soft sensors and modelling

  • Data analytics

  • Xray tomography

  • Machine learning

Works

Search Professor Gordon Forbes’s works on UQ eSpace

41 works between 2005 and 2026

41 - 41 of 41 works

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).

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

Funding

Current funding

  • 2020 - 2030
    Collaborative Consortium for Coarse Particle Processing Research
    Newmont USA Limited
    Open grant

Past funding

  • 2023 - 2024
    RhoVol data analysis for modelling
    Anglo American Services (UK) Ltd
    Open grant
  • 2023 - 2024
    Mill Filling Inference Tool - Cadia Valley Operations
    NewCrest Mining Limited
    Open grant
  • 2023
    Cyclone Performance Sensor (CycloPS) - Cadia and Vertical Mill Filling Inference Tool (VMillFIT)
    NewCrest Mining Limited
    Open grant
  • 2022 - 2025
    Soft sensor for Prediciting Dense Medium Cyclones Performance (214-ACARPSOFT)
    Australian Coal Association Research Program
    Open grant
  • 2021 - 2022
    Development of integrated process models in IES and technology transfer
    AngloGold Ashanti Australia Limited
    Open grant
  • 2021
    Review of process control
    AngloGold Ashanti Australia Limited
    Open grant
  • 2021
    A Complex Orebodies Review of the Izok Lake Corridor Project (304MMGIZOK)
    MMG Australia Limited
    Open grant
  • 2019 - 2020
    Overloading phenomena in Ball Mills
    Anglo American Services (UK) Ltd
    Open grant
  • 2019 - 2020
    Transferring MDK models into IES
    Anglo American Services (UK) Ltd
    Open grant
  • 2019
    Characterisation of frother formulations in a two-phase system
    Anglo Coal (Mornabah North Managment)
    Open grant
  • 2019 - 2020
    P3-007 Validation of mass balance and model calibration in IES (P9Q AR)
    Cooperative Research Centre for Optimising Resource Extraction Ltd
    Open grant
  • 2015 - 2019
    Expansion of the energy curve to achieve critical mass of copper and gold mines internationally
    CEEC International Limited
    Open grant

Supervision

Availability

Dr Gordon Forbes is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Supervision history

Current supervision

  • 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

  • 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

Media

Enquiries

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