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Hamshaw source-orcid: host: orcid.org path: 0000-0002-0583-4237 uri: https://orcid.org/0000-0002-0583-4237 title: subtitle: null title: value: Optimization of over-summer snow storage at midlatitudes and low elevation translated-title: null type: journal-article url: value: http://dx.doi.org/10.5194/tc-13-3367-2019 visibility: public - external-ids: external-id: - external-id-normalized: transient: true value: 10.1080/19475705.2019.1571533 external-id-normalized-error: null external-id-relationship: self external-id-type: doi external-id-url: value: https://doi.org/10.1080/19475705.2019.1571533 external-id-value: 10.1080/19475705.2019.1571533 last-modified-date: value: 1572791932177 work-summary: - created-date: value: 1572791932177 display-index: '1' external-ids: external-id: - external-id-normalized: transient: true value: 10.1080/19475705.2019.1571533 external-id-normalized-error: null external-id-relationship: self external-id-type: doi external-id-url: value: https://doi.org/10.1080/19475705.2019.1571533 external-id-value: 10.1080/19475705.2019.1571533 - external-id-normalized: transient: true value: 1947-5705 external-id-normalized-error: null external-id-relationship: part-of external-id-type: issn external-id-url: value: https://portal.issn.org/resource/ISSN/1947-5705 external-id-value: 1947-5705 - external-id-normalized: transient: true value: 1947-5713 external-id-normalized-error: null external-id-relationship: part-of external-id-type: issn external-id-url: value: https://portal.issn.org/resource/ISSN/1947-5713 external-id-value: 1947-5713 journal-title: value: Geomatics, Natural Hazards and Risk last-modified-date: value: 1572791932177 path: /0000-0002-0583-4237/work/64036824 publication-date: day: null month: value: '01' year: value: '2019' put-code: 64036824 source: assertion-origin-client-id: null assertion-origin-name: null assertion-origin-orcid: null source-client-id: null source-name: value: Scott D. Hamshaw source-orcid: host: orcid.org path: 0000-0002-0583-4237 uri: https://orcid.org/0000-0002-0583-4237 title: subtitle: null title: value: Application of unmanned aircraft system (UAS) for monitoring bank erosion along river corridors translated-title: null type: journal-article url: value: http://dx.doi.org/10.1080/19475705.2019.1571533 visibility: public - external-ids: external-id: - external-id-normalized: transient: true value: 10.1029/2018jg004497 external-id-normalized-error: null external-id-relationship: self external-id-type: doi external-id-url: null external-id-value: 10.1029/2018JG004497 last-modified-date: value: 1549290027293 work-summary: - created-date: value: 1547043627284 display-index: '1' external-ids: external-id: - external-id-normalized: transient: true value: 10.1029/2018jg004497 external-id-normalized-error: null external-id-relationship: self external-id-type: doi external-id-url: null external-id-value: 10.1029/2018JG004497 journal-title: value: 'Journal of Geophysical Research: Biogeosciences' last-modified-date: value: 1549290027293 path: /0000-0002-0583-4237/work/52423707 publication-date: day: null month: value: '01' year: value: '2019' put-code: 52423707 source: assertion-origin-client-id: null assertion-origin-name: null assertion-origin-orcid: null source-client-id: null source-name: value: Scott D. 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Hamshaw source-orcid: host: orcid.org path: 0000-0002-0583-4237 uri: https://orcid.org/0000-0002-0583-4237 title: subtitle: null title: value: A New Machine-Learning Approach for Classifying Hysteresis in Suspended-Sediment Discharge Relationships Using High-Frequency Monitoring Data translated-title: null type: journal-article url: value: http://doi.wiley.com/10.1029/2017WR022238 visibility: public - external-ids: external-id: - external-id-normalized: transient: true value: 10.1002/rra.3183 external-id-normalized-error: null external-id-relationship: self external-id-type: doi external-id-url: null external-id-value: 10.1002/rra.3183 last-modified-date: value: 1509409737742 work-summary: - created-date: value: 1509409737742 display-index: '1' external-ids: external-id: - external-id-normalized: transient: true value: 10.1002/rra.3183 external-id-normalized-error: null external-id-relationship: self external-id-type: doi external-id-url: null external-id-value: 10.1002/rra.3183 journal-title: value: River Research and Applications last-modified-date: value: 1509409737742 path: /0000-0002-0583-4237/work/38172282 publication-date: day: null month: value: '07' year: value: '2017' put-code: 38172282 source: assertion-origin-client-id: null assertion-origin-name: null assertion-origin-orcid: null source-client-id: null source-name: value: Scott D. 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usgs_staff_profile:
meta: url: https://www.usgs.gov/staff-profiles/scott-hamshaw timestamp: '2024-01-30T15:55:29.030923' status_code: 200 profile: name: Scott Hamshaw, Ph.D., P.E. name_qualifier: null titles: - Machine Learning Specialist organizations: - !!python/tuple - Water Resources Mission Area - https://www.usgs.gov/mission-areas/water-resources email: shamshaw@usgs.gov orcid: 0000-0002-0583-4237 intro_statements: - Scott Hamshaw, Ph.D., P.E. is a Machine Learning Specialist in the Analysis & Prediction Branch of the USGS Water Resources Mission Area. expertise_terms: - Machine Learning - Surface Water - Hydrologic Modeling - Sediment Transport - Land Surveying - Data Science professional_experience: - Machine Learning Specialist, U.S. Geological Survey, Water Mission Area - 2021 to present - Research Assistant Professor, Civil & Environmental Engineering, University of Vermont - 2019 to 2021 - Post-Doctoral Associate, Vermont EPSCoR, University of Vermont - 2017 to 2019 - Research Assistant, Civil & Environmental Engineering, University of Vermont - 2011 to 2017 - Staff Engineer, Engineered Solutions, Inc., Burlington, VT - 2007 to 2010 education: - Ph.D. Civil & Environmental Engineering, University of Vermont, 2018 - P.E., State of Vermont, License No. 100919, 2015 - M.S. Civil & Environmental Engineering, University of Vermont, 2014 - B.A. Engineering, St. Michael's College, 2006 - B.S. Civil Engineering, University of Vermont, 2006 affiliations: [] honors: [] abstracts: [] personal_statement: "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."