Scott Hamshaw
Adjunct Assistant Professor
Department of Civil and Environmental Engineering
College of Engineering and Mathematical Sciences
BIO
Scott is a machine learning specialist with the U.S. Geological Survey in the Water Mission Area as well as an adjunct assistant professor in Civil & Environmental Engineering. Scott specializes in understanding the intersection of water resources and the built and natural environment. He has over 10 years of experience as a researcher, consultant, and educator. His research encompasses the development and application of machine learning methods to water resources. Scott completed a dual-degree bachelor program at University of Vermont and St. Michael's College, and subsequently worked for three years as a consulting civil engineer before returning to UVM to pursue M.S. and Ph.D. degrees in engineering at the University of Vermont. Scott is a licensed professional engineer in the State of Vermont and has taught undergraduate courses in land surveying and mapping (geomatics) and stormwater engineering.
Area(s) of expertise
Water Resources, Machine Learning, Environmental Sensing, Geomatics
Bio
Scott is a machine learning specialist with the U.S. Geological Survey in the Water Mission Area as well as an adjunct assistant professor in Civil & Environmental Engineering. Scott specializes in understanding the intersection of water resources and the built and natural environment. He has over 10 years of experience as a researcher, consultant, and educator. His research encompasses the development and application of machine learning methods to water resources. Scott completed a dual-degree bachelor program at University of Vermont and St. Michael's College, and subsequently worked for three years as a consulting civil engineer before returning to UVM to pursue M.S. and Ph.D. degrees in engineering at the University of Vermont. Scott is a licensed professional engineer in the State of Vermont and has taught undergraduate courses in land surveying and mapping (geomatics) and stormwater engineering.
Areas of Expertise
Water Resources, Machine Learning, Environmental Sensing, Geomatics