Item talk:Q46525: Difference between revisions

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orcid:
ORCiD:
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Line 942: Line 942:
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    - Machine Learning Specialist
     abstract: Scott Hamshaw, Ph.D., P.E. is a Machine Learning Specialist in the Analysis
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      - Water Resources Mission Area
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    - Scott Hamshaw, Ph.D., P.E. is a Machine Learning Specialist in the Analysis
       & Prediction Branch of the USGS Water Resources Mission Area.
       & Prediction Branch of the USGS Water Resources Mission Area.
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     - Surface Water
    abstract: "Scott Hamshaw received his Ph.D. in Civil & Environmental Engineering\
     - Hydrologic Modeling
      \ from the University of Vermont where he undertook mapping of watershed erosion\
     - Sediment Transport
      \ and data-driven modeling of sediment transport in the Lake Champlain Basin.\
     - Land Surveying
      \ After completing his Ph.D., he was a postdoctoral associate and research assistant\
     - Data Science
      \ professor at the University of Vermont applying machine learning to water\
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      \ resource problems as well as teaching land surveying and mapping. Prior to\
     - Machine Learning Specialist, U.S. Geological Survey, Water Mission Area - 2021
      \ his Ph.D., Scott worked as a consulting engineer in Burlington, VT practicing\
      to present
      \ stormwater management, water system design, and site engineering. Scott joined\
     - Research Assistant Professor, Civil & Environmental Engineering, University
      \ the Analysis & Prediction Branch of the Water Resources Mission Area in 2021\
      \ and is based in Bristol, VT.Scott\u2019s interests are in the broad area of\
      \ applied machine learning and water resource engineering with emphasis on using\
      \ data-driven approaches to understand dynamics in streamflow and river water\
      \ quality. Scott is active in national-scale research on applying deep learning\
      \ methods to the prediction of water quantity and quality in rivers across the\
      \ U.S."
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      \ Engineering from the University of Vermont where he undertook mapping of watershed\
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       \ Basin. After completing his Ph.D., he was a postdoctoral associate and research\
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      \ assistant professor at the University of Vermont applying machine learning\
    name: Machine Learning
      \ to water resource problems as well as teaching land surveying and mapping.\
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      \ Prior to his Ph.D., Scott worked as a consulting engineer in Burlington, VT\
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      \ Scott joined the Analysis & Prediction Branch of the Water Resources Mission\
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      \ Area in 2021 and is based in Bristol, VT.Scott\u2019s interests are in the\
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     name: Sediment Transport
      \ across the U.S."
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    name: staff member
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  name: Scott Hamshaw, Ph.D., P.E.
  url: https://www.usgs.gov/staff-profiles/scott-hamshaw

Revision as of 18:23, 12 May 2024

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   abstract: "Scott Hamshaw received his Ph.D. in Civil & Environmental Engineering\
     \ from the University of Vermont where he undertook mapping of watershed erosion\
     \ and data-driven modeling of sediment transport in the Lake Champlain Basin.\
     \ After completing his Ph.D., he was a postdoctoral associate and research assistant\
     \ professor at the University of Vermont applying machine learning to water\
     \ resource problems as well as teaching land surveying and mapping. Prior to\
     \ his Ph.D., Scott worked as a consulting engineer in Burlington, VT practicing\
     \ stormwater management, water system design, and site engineering. Scott joined\
     \ the Analysis & Prediction Branch of the Water Resources Mission Area in 2021\
     \ and is based in Bristol, VT.Scott\u2019s interests are in the broad area of\
     \ applied machine learning and water resource engineering with emphasis on using\
     \ data-driven approaches to understand dynamics in streamflow and river water\
     \ quality. Scott is active in national-scale research on applying deep learning\
     \ methods to the prediction of water quantity and quality in rivers across the\
     \ U.S."
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