Our industries are changing and advanced data tools are becoming more accessible and available to extract value and information from the growing amounts of data that are being collected.
The Advanced Data Analytics and Artificial Intelligence Masterclasses are designed for people working in the mining and resources industry to advance their use of data through advanced data analytical tools and explore the impact that AI can have by using predictive models to make our workplaces safer.
The 2024 Masterclass Series will run on 21-22 October 2024
The workshops provide an opportunity to hear from leading experts on current practices and latest research outcomes associated with the implementation of AI across a range of applications.
The masterclass runs as two full-day workshops featuring presentations and discussions, facilitated by Dr Nikodem Rybak from the Sustainable Minerals Institute's Minerals Industry Safety and Health Centre.
- Day 1 will focus on data, the challenges of collating data from different sources and the techniques that are available to analyse and make sense of the data that is being recorded and collected. Learn about data cleaning, pre-processing and analytic techniques as well as how communication impacts the way data is interpreted.
- Day 2 will turn towards Artificial Intelligence and Machine learning algorithms that can be implemented in Safety and Risk Management. Learn about how voice and video processing is being used to create NLP predictive models that can provide time saving models, and how AI is transforming the way we look at safety and risk management.
Program
21 October 2024: Workshop 1 - Where are we now? What are the challenges with data?
Time | Topic |
|---|---|
9.30–9:45am | Welcome and masterclass opening |
9:45–10:00am | Ice breaker activity |
10:00–11:00am | Introduction - Understanding the business’ needs in order to drive the right data to be used in analysis Speaker: Adam Foot |
11:00–11:30am | BREAK |
11:30am–12:15pm | Exercise 1: Digital maturity exercise – Where are we now? Facilitator: Nyssa Nair |
12:15–1:00pm | Data Preparation and Data Cleaning – Effects of good and bad data Speaker: Andres Lucero |
1:00–1:45pm | BREAK |
1:45–2:30pm | Exercise 2: Exercise to critique and review artifacts to understand data communication and interpretation. |
2:30–3:15pm | Data analytics – The foundational requirement of good quality data for machine learning. Speaker: Cam Stevens |
3:15–3:30pm | BREAK |
3:30–4:30pm | Exercise 3: How to apply data analytics to your workplace. |
22 October 2024: Workshop 2 - The opportunities for AI in health and safety.
Time | Topic |
|---|---|
9:00–9:15am | Introduction - What is Machine learning and AI. Intro to algorithms and black box models. |
9:15–10:00am | Feature engineering and predictive modelling. Introduction to AI – Video, voice processing, NLP models Speaker: Dr Nikodem Rybak |
10:00–10:30am | Exercise 4: Implication of data safety for data stored and modelled locally or in the cloud. |
10:30–11:00am | BREAK |
11:00–11:45am | Case Study - Implementation of AI in Safety and Risk Management Speaker: Dr Mathew Hancock |
11:45am–12:30pm | Exercise 5: Critiquing exercise for AI – interpretation of outputs |
12:30–1:15pm | BREAK |
1:15–2:00pm | AI standard - ISO 42001 standard. What are the guardrails and finding a good use case to understand how to apply ISO42. Speaker: Liz Hallifax |
2:00–3:00pm | Panel Q&A session: Experiences and learnings from AI Chair: Professor Maureen Hassall Panel experts: Liz Hallifax, Nyssa Nair, Adam Foot, Cam Stevens and Mathew Hancock |
3:00–3:15pm | BREAK |
3:15–3:45pm | Case study: NLP and the hype around generative AI – application to health and safety. |
3:45–4:15pm | Closing session: How future implementation of data analytics and AI systems can create change to health and safety outcomes. |
Speaker information
Adam is an engineer, mining and primary resources professional. He specialises in implementation of operational systems that deliver superior business returns and provide social value to the communities in which they operate. Bringing together people and technology together as co-workers, Adam uses technology to unlock human potential, harness increased productivity, reduce costs, improve safety performance and create social value for a better world.
In the Advanced Data Analytics and AI Masterclass, he will present on the challenges of integrating good data collection with business practices and the importance of understanding the business’ needs in order to drive the right data to be used in analysis. His experience with real industry applications of data management and smart systems, provides other industry professionals with lessons learned and advice for their own data journey.
Nyssa is a Research Fellow at the Sustainable Minerals Institute's Industrial Safety and Health Centre at The University of Queensland. She specialises in process safety and system safety for risk management in industrial processes. Over the last 15 years Nyssa has worked in academia and industry, across the fields of risk management, process optimisation, process control and data analytics. She has significant industry experience working in a major hazard facility, which processed hydrocarbons for the production of polypropylene. Nyssa’s main area of research is the use of artificial intelligence in chemical engineering applications. She is currently a PhD candidate in Chemical Engineering, applying machine learning tools to pharmaceutical production processes. She is interested in how industry can extract information from existing processes and apply techniques for improved efficiency and understanding.
Andres Ortega Lucero is a joint-PhD researcher under the QUEX partnership working at the WH Bryan Mining Geology Research Centre (BRC) of the Sustainable Minerals Institute, The University of Queensland, Australia, and The Camborne School of Mines at The University of Exeter, UK. Andres is involved in the “Drones 4 Waste: Beyond-Visible Insight for Decision Making” research project, which is part of the Multi-scale, Multisensory Mapping and dynamic Monitoring for sustainable extraction and safe closure in Mining environments (m4mining) Program. Andres completed his undergraduate degree in Mining and Metallurgical Engineering at the National University of Colombia in 2015. He also holds a specialisation in Analytics from the same university and a master’s degree in data science from the Pontifical Javeriana University in Colombia (2023). Before joining the BRC as a PhD student in early 2024, Andres worked as a Mining Sustainability Coordinator, where he led the application of Voluntary Sustainability Standards in various mining projects across Latin America.
Cam Stevens, a recognised authority in leveraging data, technology, and innovation within workplace health and safety, brings a wealth of experience and insight to discussions on artificial intelligence in safety management. Cam's presentations are grounded in real-world applications and designed to provide actionable strategies for organisations seeking to enhance their health and safety practices through AI.
Nik a machine learning and complex systems researcher at the University of Queensland, leads the Artificial Intelligence Health, Safety, and Environmental Risk Management program at MISHC within the Sustainable Minerals Institute (SMI). With a PhD in computer science, Nikodem’s research spans AI-driven solutions to address the complexities inherent in diverse industries. In the Advanced Data Analytics and AI Masterclass, he will present sessions on introduction to AI, covering video, signal processing, and the latest advancements in generative and reasoning systems. His expertise in the application of AI for risk management and decision support systems offers industry professionals the opportunity to gain critical insights into leveraging state-of-the-art AI solutions to drive innovation and enhance operational efficiency. He leads Artifical Intelligence Health Safety and Environmental Risk Management program.
Dr Mathew Hancock is an alumni of MISHC, and has spent the last 20 years developing and applying risk management tools and methods, from HSE to major projects to enterprise scale. Mathew as an Adjunct Professor with MISHC and is partnering with the team in exploring causal network analysis and advancement of computational reasoning technology for management of risk. Mathew will be sharing his views on the application of generative AI and modelling techniques to management of risk and exploring a number of practical applications of generative AI and advanced modelling techniques for risk management.
Liz Hallifax is a Chartered Engineer and MIT Sloan Alumni. Fellow Governance Institute of Australia and lecturer for Governance Institute on Corporation Law, Cyber and Risk Control Framework. MIT Sloan Business School, executive MBA resident in Boston majored in ESG governance for TCFD and CDP reporting, leading edge supply chain platforms and digital transformation. 20 Years in Corporate Risk Control and Governance framework in Global Operational capacity and Australia, accountability across Responsible AI, ESG, EHS and Supply chain Operational risk.
Thought leader and invited Chair and plenary speaker at Asia pacific and National conference on AI and digital transformation, Chair 2023 Tech in Government Summit Canberra focused on Responsible use of AI. Leader in building global technical talent in diverse cultures. Balanced thought leader Corporate HSE(Health, Safety and Environment), Risk Major hazards, Climate Risk, decarbonisation, emission regulation and challenges of scope 1, 2 and 3 analytics. Australian representative as operating partner in ISO 42 committee developing standards for the responsible use of Artificial Intelligence. Entrusted by global companies with governance.
Maureen Hassall is Professor and Director of the Sustainable Minerals Institute's Industrial Safety and Health Centre at The University of Queensland. Her expertise crosses the fields of industrial risk management, systems/process safety engineering and human factors. Maureen works collaboratively with industry professionals to develop better human-centred risk management and safety engineering approaches that improve companies’ operational performance and competitiveness. She also develops and delivers process safety, systems safety engineering, risk management and human factors training, education and expert advice to students and to industry. Her industry-focused research is motivated by 18 years of industry experience working in a number of different countries and in a variety of roles including specialist engineering, line management, organisational change and business performance improvement roles.
Venue – Getting to UQ Brisbane City
Nestled in the heart of the CBD at 308 Queen Street, UQ Brisbane City is open 7am to 7pm weekdays, can easily be reached by car or public transport, and is accessible by people with reduced mobility.
Find UQ Brisbane City
308 Queen St
Brisbane City
QLD 4000
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Pre-paid parking is available through QueensPlaza.
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