Ranjan has been in the mining and mineral industry for over 15 years, while working in commodities like Bauxite, Iron Ore, Limestone , Thermal and Metallurgical Coal across different countries and continents. He has worked in different stages of prospect maturity ranging from exploration, due diligence studies, pre-feasibility - feasibility studies , active mining operations and deposit evaluations. He is passionate about mining technology and automation and he specializes in geological modelling, data analysis and Geostatistics. His key interests is Cooking and Travelling.

Currently working as Principal Modelling Geologist at BHP's Olympic Dam operation, overseeing the delivery of key geological wireframes for input into the the resource model and mine plan. Previously worked as a Mine and Exploration Geologist at several of BHP's Iron Ore operations.

Steve Sullivan, Senior Technical Sales Specialist, Maptek, has 35 years industry experience with expertise in geological modelling and resource management throughout Australia and Asia. As a resource geologist he has worked across a diverse range of metalliferous and energy commodities applying his expertise in different estimation techniques and methods. Steve is Technical Lead for DomainMCF, the commercial application of machine learning to geological domain classification and resource estimation.

Alexandre Boucher is currently working with his team on developing the next generations of geomodelling algorithms leveraging the latest technologies and computing resources. Dr. Boucher received his PhD in geostatistics from Stanford University, an MPhil from the University of Queensland in mining geostatistics and a degree in geological engineering from Ecole Polytechnique de Montreal. He was Acting Assistant Professor at Stanford University from 2007 to 2010 where he taught geostatistics. He co-authored the book Applied Geostatistics with SGeMS and has published extensively in peer-reviewed journals, proceedings and conferences.

Maarten Haest is a geologist and material sensing scientist with a keen interest in sensors and sensor fusion across the mining value chain. He is focused on the combination of outputs from multiple sensors to improve material characterization at the mine face and on the processed product, to increase extraction efficiency and enhance product quality. With a PhD in ore geology and experience spanning from research to implementation of novel sensors in the mining and exploration industries with the CSIRO and BHP in Australia, Maarten brings a wealth of ore characterisation knowledge to MineSense to refine and expand its ShovelSense and BeltSense product lines. As VP Geoscience at MineSense, Maarten is responsible for both Lab Services and Operational GeoScience. In this role, he is supporting the creation of data models that generate knowledge and value from the deployed MineSense sensors, as well as progressing research into new sensors to enhance the benefits that can be generated from these products.