Yerniyaz received his B.Sc in Civil Engineering and M.Sc degrees in Mining Engineering from Nazarbayev University, Kazakhstan. At the beginning of his academic journey, he gained some experience in structural engineering, but later for his masters, he decided to switch to mining engineering and to study the mineral resource estimation field of the mine value chain.
He is currently a Higher Degree Research student at Integrated Mining Consortium and a PhD candidate at the School of Civil, Environmental and Mining Engineering, University of Adelaide. His PhD focuses on the mineral resource estimation stage of the mining project cycle by producing probabilistic domain boundaries. Consequently, a more reliable resource model can be generated, and product optimisation can be reached in mill feed. The ultimate aim is to improve mining technology to obtain a reliable resource model, minimising the uncertainty and capital costs, and reducing environmental impacts in the sector as well.
His interests include multidisciplinary design optimisation and data science, which involves Machine learning techniques. He wants to follow an industrial career as a problem-solving engineer or mining engineer with a focus on mineral resource estimation and data analysis. This career path will enrich his shallow knowledge about the industry itself and advance his experience with real-world problems. As a result, it will help him to facilitate collaboration between academia and the mining industry.