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Short course

Practical Data Analytics and Machine Learning

20
PD Hours
Get more value from your operation through data analytics, machine learning, simulation and optimisation.

About this event

With the resources sector committed to gaining more value from data collected across mining operations and the broader business, AusIMM’s Practical Data Analytics and Machine Learning short course is designed to share practical insight into the fundamentals of data analytics, machine learning, simulation and optimisation. Designed and delivered by industry experts, the program uses real world examples and hands-on access to industry leading tools. Participants will also learn about mechanisms for keeping data private whilst participating in collaborative projects for industry-wide learning.

Speakers

Greg Shapland

Manager – Technology (IES), Orica
Greg Shapland is responsible for Data Analytics and Software Development of the Integrated Extraction Simulator (IES), a web application that simulates end-to-end processes from Blast to Concentrate. IES uses a broad range of ore body, mining and minerals processing data to provide a digital representation of the value chain for users to interrogate and gather insights.

Greg brings over 25 years' experience in managing and implementing systems and process improvements using mining technologies, data analytics and IT systems.

He holds a B.E. Civil (Hons) and an M.B.A. in Strategy and Finance and is an accredited Project Management Professional.

Shruti Gaur

Analyst – Technology, Orica
Shruti Gaur is a Computer Science graduate with a Master of Information Technology from QUT. She has a strong focus on using technology to streamline data processing and analytics. Shruti also has a degree in business management and related experience in the health sector.

Shruti’s current role at Orica within the Integrated Extraction Simulator team combines programming with data analytics to implement data pipelines. She designs and develops new functions on the AWS platform for connecting, transforming, visualising data and model building of minerals processes. Shruti’s experience with Business Intelligence tools completes the cycle for providing valuable insights from data

Edwin Koh

Technical Specialist, Orica
Edwin Koh graduated with a Degree in Chemical Engineering in 2018 where he won the undergraduate thesis of the year in the Engineering Faculty for applied mathematical modelling. Edwin brings modelling experience from various fields including rheology, environmental, computational fluid dynamics and medical diagnosis. Edwin had built up four years of experience coding in MATLAB for various research teams at The University of Queensland (UQ).

Edwin joined the IES team in summer 2018/19 to investigate the feasibility of machine learning models for minerals processing. Following success with the IES summer vacation project Edwin decided to further his studies in this area towards a PhD at UQ under Prof Geoff McLachlan and Dr Eiman Amini. In his PhD, Edwin applies state-of-the-art machine learning models in the IES platform for industry using Tensorflow. These novel methodologies have been published in various journals and conferences, establishing IES at the forefront of utilising machine learning in the minerals processing.

Eiman Amini

MAusIMM
Manager – Technical Services, Orica
Dr Eiman Amini is a mineral processing specialist with experience in process optimisations and scale-up which includes process model development, project management, geometallurgy, applied research and innovation, value chain diagnostics, control data analysis and plant surveys.

Eiman has worked in several countries with extensive exposure to comminution and flotation process modelling, simulation, forecasting and optimisation. Eiman also has history of working effectively in cross-functional and cross-cultural environments with consistent success in research and innovation, coaching laboratory teams and process performance improvement in research intuitions and companies such as JKMRC, SGS and Rio Tinto.

Robert Watkins

Senior Developer – Technology (IES), Orica
Robert is responsible for the design and implementation of the Integrated Extraction Simulator (IES) project; leading the IES development team to deliver IES and working with researchers to implement their process models in the IES framework. Robert has worked on the IES project since late 2012 and is a key member of the team responsible for delivering IES and enabling the next generation of simulation technology for the mining industry.

He has 20 years of experience in the software development industry, working with companies such as Mincom, Suncorp and Wotif.com to develop high-performing software solutions.

As the development lead, Robert has overseen and supported the development of the ML capabilities within IES, including the integration of ML models into the IES platform.

Nick Beaton

Senior Manager – Integrated Extraction Simulator, Orica
Nick Beaton is the senior manager within Orica responsible for IES. Nick has enjoyed a 30-year career in the development and commercialisation of technology for the global mining industry.

Nick has professional experience that spans senior appointments with Datamine, Mincom, KPMG and CAE Mining, with postings to the UK, South Africa, Germany, the USA and Switzerland. In addition to his extensive mining industry experience, Nick also worked in management consultancy in Europe, leading pan-European projects in business restructuring and ERP implementations for major manufacturing companies.

Date and Time

Monday, 21 February 2022
9.00am (UTC+10:00)
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Cost

Member
$1,429

Non-member
$1,759

Prices are inclusive of 10% GST
20
PD HOURS
Full course information

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