Nurassyl Battalgazy

Sustainable Minerals Institute, The University of Queensland

Nurassyl Battalgazy is a final year PhD candidate at the Sustainable Minerals Institute, University of Queensland, specializing in the Application of Machine Learning and Deep Learning in Resource Estimation. He holds a Master of Science (MSc) degree in Mining Engineering from the School of Mining and Geosciences at Nazarbayev University, Kazakhstan. With a solid academic background and industry experience, Nurassyl's expertise lies in structural mapping, resource block modelling, and classification of resources. His research output includes published papers in esteemed journals and conference presentations on AI in mineral resource assessment and geostatistical simulation algorithms. Nurassyl has also received recognition for his contributions, winning the prestigious "Golden Hephaestus" National Industry Competition in Kazakhstan. With proficiency in data science and various software applications, Nurassyl is poised to make significant contributions to the mining industry.