The Future of Numerical Models
Holographic Technology and Its Application in Rock Mechanics
August 23, 2023
Estimation of Mineral Resources Using Geostatistics Methods
August 23, 2023In this episode with Dr. Mazyar Bahri, the focus is on "The Future of Numerical Models." The conversation highlights the limitations of classical machine learning for data-rich scenarios and complex processing needs. The emergence of GPUs and deep learning transformed modeling, enabling intricate multi-layered models. The application of these concepts in fields like mining and geotechnical engineering is explored, considering data scarcity challenges. The synergy between numerical models and deep learning is exemplified in a study predicting methane gas in mines. Integrating numerical models with machine learning offers the potential for accurate predictions in diverse conditions. The episode invites viewers to explore more on the MineTEDs website and social media platforms.
Dr Maziyar Bahri
Maziyar Bahri is a data science researcher specializing in geotechnical engineering with a background in business development. He has a strong expertise in Sustainable Development, and finite element methods. He holds a Ph.D. in Civil Engineering from Universidad de Sevilla and is currently a doctoral student there. With over 7 years of experience, he has worked as a Business Development Assistant at SDF Stone Co, a mining and metals company based in Iran. He also served as a Visiting Scholar at Colorado School of Mines, focusing on Artificial Intelligence and Machine Learning.
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