1:00pm Room B - AI Applications for Sustainable Mining

Published

March 31, 2022

This talk presents a high level overview of the application of Artificial intelligence tools for the development of more sustainable solutions in the mining and critical minerals industry. Although the incorporation of AI-based tools in the minerals sector is not new, several areas are being currently benefited from the incorporation of improved tools such as those associated to Deep Learning and Recurrent Neural Networks. We present here several examples that contribute to the development of solutions associated to improved productivity, energy efficiency, safety, and social license. Research projections and future development areas are also discussed.

Dr. Nathalie Risso

Assistant Professor
Mining and Geological Engineering Department
University of Arizona

Nathalie Risso is an Assistant Professor Mining and Geological Engineering Department at The University of Arizona. She received the B.S. degree in Electronics engineering from Universidad de Concepcion, and the M.S. and Ph.D degrees in Electrical and Computer engineering from the University of Arizona. Her research interests include Cyber-physical systems, Renewable Energy, and Machine Learning. Prof. Risso is a strong advocate for diversity and inclusion, leading several associated initiatives in STEM related fields.