Bahman
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I hold a Ph.D. in Environmental Science from the University of Quebec (UQAT-UQAM, 2013-2018), where my research centered on 3D inverse modeling, multivariate statistics, and machine learning to establish a comprehensive 3D interpretation methodology for mineral exploration. Currently, as a postdoctoral researcher at the University of Quebec, I am developing innovative tools for interpreting large-scale geophysical data to target gold deposits. My work focuses on automating complex integrated interpretation processes and transforming geophysical datasets into valuable geological insights using advanced techniques, including feature engineering, blind source separation, and deep learning.
Python, MATLAB
Spoken Languages:
English, French
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CLE2D
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