Kenneth Carroll
Professor, Plant & Env. Science Department
Regular Faculty
My research includes use of various machine learning methods for statistical and data analytics focused on water science, environmental science, and geophysics. I have a PhD student graduating who worked on this for his degree (minor in Computer Science), and I have 2 postdocs working on machine learning applications. Below are recent journal publications:
Zhan, C., Z. Dai, J.J. Jiao, M.R. Soltanian, H. Yin, K.C. Carroll (2025) Towards Artificial General Intelligence in Hydrogeological Modeling with an Integrated Latent Diffusion Framework. Geophysical Research Letters, 52(3), e2024GL114298. https://doi.org/10.1029/2024GL114298.
Jamil, A., D.F. Rucker, D. Lu, S.C. Brooks, A.M. Tartakovsky, H. Cao, K.C. Carroll (2024) Comparison of Machine Learning and Electrical Resistivity Arrays to Inverse Modeling for Locating and Characterizing Subsurface Targets. Journal of Applied Geophysics, 229, 105493. https://doi.org/10.1016/j.jappgeo.2024.105493.
Moeini, F., R. Ershadnia, R.L. Rubinstein, R.Versteeg, P. Li, J.T. McGarr, A. Meyal, C.D. Wallace, Z. Dai, K.C. Carroll, M.R. Soltanian (2024) Employing generative adversarial neural networks as surrogate model for reactive transport modeling in the hyporheic zone. Journal of Hydrology, 131485, ISSN 0022-1694. https://doi.org/10.1016/j.jhydrol.2024.131485.
Zhan, C., Z. Dai, S. Yin, K.C. Carroll, M.R. Soltanian (2024) Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence. Water Research, 257, 121679, ISSN 0043-1354. https://doi.org/10.1016/j.watres.2024.121679.
Islam, K.I., E. Elias, K.C. Carroll, and C. Brown (2023) Exploring Random Forest Machine Learning and Remote Sensing Data for Streamflow Prediction: An Alternative Approach to a Process-Based Hydrologic Modeling in a Snowmelt-Driven Watershed. Remote Sensing, 15(16): 3999. https://doi.org/10.3390/rs15163999.
Current Machine Learning Research Funding:
Informing River Corridor Transport Modeling by Harnessing Community Data and Physics-Aware Machine Learning, Funded By: National Science Foundation Hydrologic Sciences (HS)
Geophysical and Machine Learning Characterization of a Perched Radium-Contaminated Groundwater Plume at the DOE Waste Isolation Pilot Plant (WIPP) Site, Funded By: DOE Environmental Management
Expertise
- Computer Vision
- Machine Learning
- Neural Networks
- College
- Workforce Training
- Water and Environmental Science
- Agriculture and Food Systems
- MLP
- CNN
- Vision Transformer
- Latent Diffusion
- LSTM
Profile Links
- Google Scholar
- Research Gate
- ORCiD
- Scopus ID: 35570864500
- Tierras is product of the above referenced NSF grant.
Awards
- 2024 – Chair for Soils & Environmental Quality Division of Soil Science Society of America
- 2023 – Chair-Elect for Soils & Environmental Quality Division of Soil Science Society of America
- 2021 – Awarded the Mobley Family Endowed Distinguished Research Award through the College of Agricultural, Consumer, and Environmental Sciences (ACES) at NMSU
- 2021 – Awarded Mid-Career Award for Applied Research by Universities Council on Water Resources
- 2021 – Elected NMSU Chapter President of Sigma Xi – The Scientific Research Society
- 2019 – Awarded Herb Ward Family Endowed Interdisciplinary Chair in Environmental and Water Science (2019-2023)
- 2019 – Online video won (with Barbara Chamberlin, ACES Media Productions, and April Ulery) a national Gold Award for “”motion graphics/augmented reality/virtual reality/animation”” from the Association for Communications Excellence professional association.
- 2017 – Awarded Early Career Award for the 17th Annual University Research Council for Exceptional Achievements in Creative Scholarly Activity at NMSU
- 2016 – Awarded Patricia Christmore Faculty Teaching Award for Superb Junior Faculty Excellence in Teaching at NMSU
- 2015 – Awarded Outstanding Reviewer Status for Journal of Contaminant Hydrology.
- 2015 – Elected Chair for Groundwater Technical Committee of American Geophysical Union (AGU) Hydrology Section
- 2014 – Elected Deputy Chair for Groundwater Technical Committee of AGU Hydrology Section
- 2002 – Awarded Superfund Basic Research Prog. 2002 Annual Meeting: Best Student Poster
- 1998 – Awarded Graduate Alumni Research Grants OU Geol. Sci. R.C. Johnson Grant Award
- 1998 – Awarded American Assoc. of Petroleum Geologists Foundation Grants-in-Aid Award
- 1996 – Awarded Sigma Gamma Epsilon Tarr Award
Accordion
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