Full Name
Snehamoy Chatterjee
Job Title
Associate Professor and Witte Family Endowed Faculty Fellow in Mining Engineering
Company
Michigan Technological University
Speaker Bio
Snehamoy Chatterjee is an Associate Professor of Department of Geological and Mining Engineering and Sciences, and Witte Family Endowed Faculty Fellow in Mining Engineering at
Michigan Technological University. Chatterjee specializes in mine safety and productivity evaluation, the application of computer vision and artificial intelligence in mining problems. He received his PhD in Mining Engineering from Indian Institute of Technology Kharagpur, India. During his PhD research, Chatterjee solved quality control-related problems using image analysis and geostatistical methods. Chatterjee then worked as a Post-Doctoral Fellow at the University of Alaska Fairbanks and the COSMO Stochastic Mine Planning Laboratory at McGill University.
Presently, Chatterjee is actively involved in research work in the field of text and numerical health and safety data analytics, remote sensing and computer vision for mineral exploration and quality monitoring, and simultaneous modeling of rock type and grades of mineral deposit. His research Is funded by National Institute of Occupational Safety and Health (NIOSH), the National Aeronautics and Space Administration (NASA), the United States Department of Agriculture (USDA), and several mining companies. Chatterjee is an active member of the International Associate of Mathematical Geosciences (IAMG), the Society for Mining, Metallurgy and Exploration, Inc. (SME), the American Geophysical Union (AGU). He has received The Editor's Best Reviewer Awards 2014 from Mathematical Geosciences Journal. He is the recipient of the 2015 APCOM Young Professional Award at the 37th APCOM in Fairbanks, Alaska.
Michigan Technological University. Chatterjee specializes in mine safety and productivity evaluation, the application of computer vision and artificial intelligence in mining problems. He received his PhD in Mining Engineering from Indian Institute of Technology Kharagpur, India. During his PhD research, Chatterjee solved quality control-related problems using image analysis and geostatistical methods. Chatterjee then worked as a Post-Doctoral Fellow at the University of Alaska Fairbanks and the COSMO Stochastic Mine Planning Laboratory at McGill University.
Presently, Chatterjee is actively involved in research work in the field of text and numerical health and safety data analytics, remote sensing and computer vision for mineral exploration and quality monitoring, and simultaneous modeling of rock type and grades of mineral deposit. His research Is funded by National Institute of Occupational Safety and Health (NIOSH), the National Aeronautics and Space Administration (NASA), the United States Department of Agriculture (USDA), and several mining companies. Chatterjee is an active member of the International Associate of Mathematical Geosciences (IAMG), the Society for Mining, Metallurgy and Exploration, Inc. (SME), the American Geophysical Union (AGU). He has received The Editor's Best Reviewer Awards 2014 from Mathematical Geosciences Journal. He is the recipient of the 2015 APCOM Young Professional Award at the 37th APCOM in Fairbanks, Alaska.
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