Gund Affiliate, Research Assistant Professor, Department of Civil and Environmental Engineering

Scott specializes in understanding the intersection of water resources and the built and natural environment. Scott has over 10 years of experience as a researcher, consultant, and educator. Scott's 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.

Scott also researches the use of unmanned aircraft systems (UAS) in environmental sensing. Scott hopes to develop tools that help organizations and communities 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.

In addition to his research, Scott remains active in environmental community service through involvement in The Watershed Center and Vermont Family Forests, and his international development work in Honduras initiated as an undergraduate. Scott is a licensed professional engineer in the State of Vermont.

Publications

  • Weiss, H., Bierman, P., Dubief, Y., & Hamshaw, S.D. (2019). Optimization of over-summer snow storage at low latitudes and low elevations. The Cryosphere, 13(12). doi.org/10.5194/tc-13-3367-2019
  • 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, 10. 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. Water Resources Research, 54(6). doi.org/10.1029/2017WR022238
  • 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

 

Associations and Affiliations

  • Department of Civil & Environmental Engineering, Research Assistant Professor
  • Vermont EPSCoR

Areas of Expertise and/or Research

Water resources engineering, environmental sensing, machine learning and data science, land surveying and mapping, human-environment interactions

Education

  • PhD, Civil & Environmental Engineering, University of Vermont
  • MS, Civil & Environmental Engineering, University of Vermont
  • BS, Civil Engineering, University of Vermont
  • BA, Engineering, St. Michael's College

CV

PDF icon Scott Hamshaw CV.pdf

Contact

Email:

scott.hamshaw@uvm.edu

Phone:
  • 802-656-4265
Website(s):
  1. UVM
  2. Research Website
  3. Google Scholar
  4. Twitter