Match tier
Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
Biography and Research Information
OverviewAI-generated summary
Laura Suzanne Ruhl-Whittle's research investigates the presence and concentration of nutrients in groundwater, with a specific focus on aquifers in Tennessee. Her work also explores the multi-scale spatiotemporal modeling of suspended sediment concentrations within the Upper Mississippi River, employing machine learning techniques like AutoML. Ruhl-Whittle has also examined the relationship between kidney stones, mineral crusts, and plants, seeking insights into kidney stone formation from natural environmental processes. Her scholarly output includes a total of two publications, with her most recent work published in 2026. She collaborates with B. G. Peter and Sahar Rezaei, both from the University of Arkansas at Fayetteville, with whom she has co-authored two shared publications.
Metrics
- Publications: 3
Positions
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Hydrologist 2024–presentU.S. Geological Survey, Lower Mississippi Gulf Water Science Center Hydrologic Decision Science Branch ORCID
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Hydrologist publications 2026University of Arkansas at Fayetteville ORCID
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Hydrogeologic Studies Section Chief 2022–2024US Geological Survey Hydrologic Decision Science Branch in the Lower Mississippi-Gulf Water Science Center ORCID
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Associate Professor 2018–2022University of Arkansas at Little Rock Earth Sciences ORCID
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Assistant Professor 2012–2018University of Arkansas at Little Rock Earth Sciences ORCID
Selected Publications
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Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data (2026)
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Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data (2026)
Collaboration Network
Top Collaborators
Sahar Rezaei
University of Arkansas at Fayetteville
2 shared publications
In database
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
Josh Weiss
2 shared publications
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
Danelle M. Larson
2 shared publications
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
Brad G. Peter
University of Arkansas at Fayetteville
1 shared publication
In database
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
Bradley George Peter
University of Arkansas at Fayetteville
1 shared publication
In database
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
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