Research Assistant Professor

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 a combination of advanced computational methods (e.g. artificial neural networks) with field methods such as land surveying and environmental monitoring with sensors. At UVM, Scott is currently studying new methods to measure watershed erosion and sediment transport in river systems. He also researches the use of unmanned aircraft systems (UAS) in environmental sensing. He hopes to develop tools that help organizations better utilize and understand both existing environmental data and data from new technologies and sensors. These tools can be used to inform decision-making in watersheds and guide protection and management strategies. 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).

Publications

Hamshaw, S. D. , Engel, T . , Rizzo, D. , O'Neil-Dunne, J. , & Dewoolkar, M. M. (2019) Application of unmanned aircraft systems for streambank erosion monitoring along river corridors. Geomatics, Natural Hazards, & Risk. doi.org/10.1080/19475705.2019.1571533

Ross, D.S., Wemple, B.C., Willson, L.J., Balling, C., Underwood, K.L, & Hamshaw, S.D. (2019) Tropical Storm Irene's Impact on Streambank Erosion and Phosphorus Loads in Vermont's Mad River. Journal of Geophysical Research: Biogeosciences. doi.org/10.1029/2018JG004497

Hamshaw, S.D., Dewoolkar, M.M., Schroth, A.W., Wemple, B.C., & Rizzo, D.M., (2018). A new machine- learning approach for classifying hysteresis in suspended sediment-discharge relationships using high- frequency monitoring
data. W ater Resources Research, 54(6). doi. org/10. 1029/2017 WR022238

Hamshaw S.D., Bryce T., Rizzo, D.M., O'Neil-Dunne, J., Frolik, J., & Dewoolkar, M. (2017). Quantifying streambank movement and topography using unmanned aircraft system (UAS) photogrammetry with comparison to terrestrial
laser scanning (TLS). River Research & Applications, 33(8).
doi. org/10. 1002/rra. 3183

Baker, D., Hamshaw, S. D., and Hamshaw, K. (2014). Rapid Flood Exposure Assessment of Vermont Mobile Home Parks Following Tropical Storm Irene. Natural Hazards Review, 15(1). doi. org/10. 1061/( ASCE)NH. 1527-6996. 0000112

Areas of Expertise and/or Research

Water Resources, Geomatics, Machine Learning, Environmental Sensing

Education

  • Ph.D., University of Vermont
  • M.S., University of Vermont
  • B.S., University of Vermont
  • B.A., St. Michael's College

Contact

Phone:
  • 802-656-4265
Office Location:

Mansfield House 307

Website(s):
  1. vthydro.net

Courses Taught

  • CE10 – Geomatics
  • CE295 – Stormwater Engineering