Snehamoy Chatterjee

Biography

Snehamoy Chatterjee is an Assistant Professor in the Department of Geological and Mining Engineering and Sciences at Michigan Tech. Before joining Michigan Tech, Chatterjee was an Assistant Professor at the National Institute of Technology, India. Chatterjee specializes in ore reserve estimation, short- and long-range mine planning, mining machine reliability analysis, mine safety evaluation, and the application of image analysis and artificial intelligence in mining problems. He received his Ph.D. in Mining Engineering from the Indian Institute of Technology Kharagpur, India. During his Ph.D. research, Chatterjee solved quality control-related problems using image analysis and geostatistical methods for the National Mineral Development Corporation (NMDC), India's largest iron ore producer and exporter. Chatterjee then worked as a Post-Doctoral Fellow at the University of Alaska Fairbanks where he worked primarily on ore reserve estimation of gold and platinum resources off the coast of Alaska for the US Minerals Management Service (MMS). Thereafter, he joined the COSMO Stochastic Mine Planning Laboratory at McGill University, Canada, where he focused on mine planning optimization and ore-body modeling under uncertainty. He completed ore body and rock-type modeling projects of several other mining operations in India, Australia and Canada.

Presently, Chatterjee is actively involved in research work in the field of resource modeling, production planning, and online quality monitoring integrating multiple data types. He is teaching courses and advising students on topics related to mine planning, mineral resource modeling, mining machine reliability, and vision-based online quality monitoring. He has completed a number of sponsored research and industry projects in these fields for different government organizations and mining companies in India, including the largest public sector coal company, Coal India Limited.

Chatterjee is an active member of the International Associate of Mathematical Geosciences (IAMG), the Society for Mining, Metallurgy and Exploration, Inc. (SME), and the Society of Exploration Geophysics (SEG). He has served as a co-convener and a technical committee member for several international mining conferences. He is also a reviewer for more than twenty journals and 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 International Symposium on the Application of Computers and Operations Research in the Mineral Industry (APCOM 2015) in Fairbanks, Alaska.