METS Ignited is pleased to announce two of the speakers joining the METS Monday workshop lineup as part of this year’s IMARC conference. Dr Zygmunt Szpak, from the Australian Institute of Machine Learning, will investigate what is data analytics and machine learning, and what decisions these tools are helping us respond to. Dr Penny Stewart, from PETRA, will present case studies demonstrating the successful application of machine learning in mining.

The truly interactive full day workshop has been designed to help METS companies and business leaders understand how best to adopt new technologies to improve collaborative opportunities, commercialisation outcomes, and protect their businesses from potential cybersecurity threats in an increasingly digitised environment. This workshop will build on the successful sessions run at this year’s Austmine 2019 conference.

METS Monday – Technology Workshop
Topic: How can you prepare your business for transformation in the age of data analytics, automation and robotics?
When: Monday 28 October, 2019
Where: Melbourne Convention and Exhibition Centre
Time: registration 8.30am – workshop close for networking 5.30pm

Register here.

Speaker profiles:

Dr Zygmunt SzpakAustralian Institute for Machine LearningSenior Research Fellow

Zygmunt received his PhD degree in Computer Science from the University of Adelaide, Australia in 2013, and his MSc degree in Computer Science from the University of KwaZulu-Natal, South Africa in 2009. He is a senior research fellow at the Australian Institute for Machine Learning. His research lies at the interface of computer vision, machine learning, and challenging industry problems. He develops algorithms that allow computers to perform tasks typically associated with human intelligence.

In the last couple of years, his work has focused on the application of machine learning and image processing techniques for the development of smart medical devices. His responsibilities at the institute include teaching industry and partner organisations how to transform their business with machine learning technology.

Dr Penny StewartPETRACEO and METS company founder

Penny is a mining professional and entrepreneur (BE Mining, PhD, RPEQ, AusIMM CP). In June 2015, Penny founded PETRA Data Science to engineer data science solutions for the resources industry. Penny and her team have developed a suite of highly scalable algorithms for the mining industry e.g. machine learning algorithms to predict equipment and process downtime/efficiency, and digital twin value chain optimisation. In 2016, PETRA collaborated with Newcrest Mining to develop and deploy some of the mining industry’s first machine learning algorithms.

Penny worked on mine sites for five years before obtaining her Queensland 1st Class Mine Managers’ Certificate of Competency in 2000. In 2000, she commenced PhD studies at UQ’s Julius Kruttschnitt Mineral Research Centre, where she received the Ian Morley prize for Best Minerals Engineering Postgraduate student. In 2009, she instigated the application of self-organising maps (neural networks) for the study of SLC recovery analysis. As a consultant rock mechanics engineer, she developed original regression and probabilistic models to predict geotechnical instability. In Newcrest’s Innovation Group 2011-2013, she combined her operational background with advanced analytical skills, to design and execute research and innovation projects.