Faculty

Institution

Unit

Venue

Kevin Moon

Assistant Professor

Utah State University

Affiliations

College of Science

Department of Mathematics and Statistics

Kevin Moon is currently serving as a College Of Science Assistant Professor at Utah State University.

Honors

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Experiences

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Education

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Kevin Moon

Utah State University

Assistant Professor

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data science machine learning machine learning research statistics statistical inference computational statistics statistical methodology computer science visualization data and information visualization information visualization estimation theory systems biology computational biology deep learning biomedical informatics density estimation bioinformatics image representation computational intelligence applied statistics statistical learning theory image patch analysis information fusion space weather information theory ensemble algorithms autoencoders unsupervised machine learning geophysical research single-cell analysis single cell sequencing biological network visualization semi-nonparametric estimation manifold learning molecular informatics bayesian analysis kernel methods computational visualization supervised learning geometric learning ensemble estimation mutual information mount wilson nonlinear dimensionality reduction manifold modeling convergence rate parametric convergence rate molecular cell biology cell research genome biology biomedical analysis transcriptomics technology scientific visualization diffusion process molecular graphics feature learning decision tree learning high-dimensional biological data geometric regularization term distributional functionals cellular neural network developmental genetics cellular structure multivariate approximation immunophenotyping human cells cellular immune responses bioimage analysis gene interactions single-cell data gene-gene interactions diffusion-based imputation method single cell resolution manifold learning-based methods neuropil assembly explainable ai active regions applied artificial intelligence dimensionality reduction multidisciplinary ai intelligent computing artificial intelligence signal processing data visualization ensemble methods entropy advanced intelligent system

Notable Scholarly Works

Notable Federal Grants

Collaborators

Data Visualization Using Functional Data Analysis. (2025)

Haozhe ChenAndres Duque CorreaGuy WolfKevin R. Moon

visual analyticsgraphical analysisinformation visualizationinteractive visualizationscientific datagraphic interfacefunctional data analysisdata sciencevisualizationdata and information visualization

Improved Gas Plume Identification Using Nearest Neighbor Methods for Background Estimation. IEEE Transactions on Geoscience and Remote Sensing (2025)

Scout JarmanZigfried Hampel-AriasAdra CarrKevin R. Moon

fire detectionbackground estimationenvironmental monitoringpattern recognitionimage analysisdata science

Random Forest Autoencoders for Guided Representation Learning. arXiv (Cornell University) (2025)

Aumon, AdrienNi, ShuangLizotte, MyriamWolf, GuyMoon, Kevin R.Rhodes, Jake S.

neural network (machine learning)supervised visualizationguided representation learningsemi-supervised learninggeometric learningdeep learningfeature learningautoencodersmachine learning researchself-supervised learningdata scienceimage representationrandom forest autoencodersmachine learning

Advancing Tabular Data Classification With Graph Neural Networks: A Random Forest Proximity Method. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Soheila FarokhiHaozhe ChenKevin MoonHamid Karimi

decision tree learningmachine learninggraph neural networksdata miningclassification methodpattern recognitionknowledge discoverydata sciencecomputational intelligencemachine learning researchdata classificationcomputer scienceclassifier systemstabular data classification

Enhancing Supervised Visualization Through Autoencoder and Random Forest Proximities for Out-Of-Sample Extension. arXiv (Cornell University) (2024)

Shuang NiAdrien AumonGuy WolfKevin R. MoonJake S. Rhodes

data augmentationdata modelingdata explorationinformation visualizationvisual data miningout-of-sample extensionrandom forest proximitiesautoencodersstatisticsmachine learning researchdata sciencevisualizationdata and information visualizationmachine learning

Exploring Higher-Order Neural Network Node Interactions With Total Correlation. arXiv (Cornell University) (2024)

Kerby, ThomasWhite, TeresaMoon, Kevin

interaction networktotal correlationneural network (machine learning)mutual informationneural computationlocal correlation explanationmachine learning researchcomputational intelligenceunsupervised machine learningmachine learningneurosciencecomputer science

Forest Proximities for Time Series. arXiv (Cornell University) (2024)

Shaw, BenRhodes, JakeBoubrahimi, Soukaina FilaliMoon, Kevin R.

nearest neighbor classifiershigh-dimensional statisticstime seriesoutlier detectiondata miningclassification methodstatisticspattern recognitionknowledge discoverydata sciencemachine learning researchdata classificationforest proximitiesmachine learningtemporal pattern recognition

Improved Background Estimation for Gas Plume Identification in Hyperspectral Images. arXiv (Cornell University) (2024)

Jarman, ScoutHampel-Arias, ZigfriedCarr, AdraMoon, Kevin R.

atmospheric measurement techniqueplanetary sciencesremote sensingatmospheric sensingbackground estimationmachine visiondigital image processingimage analysisearth sciencehyperspectral imaginggas plume identification

Incorporating Taylor Series and Recursive Structure in Neural Networks for Time Series Prediction. arXiv (Cornell University) (2024)

Mau, JarrodMoon, Kevin

predictive analyticsneural architecture searchtaylor seriessoft computingneural network (machine learning)machine learningrecurrent neural networksneural networkstime seriesrecursive structuremachine learning researchnonlinear time seriesdata sciencecomputational intelligenceforecastingcomputer science

Learning Local Higher-Order Interactions With Total Correlation. (2024)

Thomas KerbyTeresa WhiteKevin R. Moon

total correlationgeometric learningcomputational sciencemachine learning researchapplied mathematicsstatistical mechanicscomputational statisticsmachine learning

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Kevin Moon

Assistant Professor

Utah State University

Affiliations

College of Science

Department of Mathematics and Statistics

Kevin Moon is currently serving as a College Of Science Assistant Professor at Utah State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Kevin Moon

Utah State University

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Data Visualization Using Functional Data Analysis. (2025)

Haozhe ChenAndres Duque CorreaGuy WolfKevin R. Moon

visual analyticsgraphical analysisinformation visualizationinteractive visualizationscientific datagraphic interfacefunctional data analysisdata sciencevisualizationdata and information visualization

Improved Gas Plume Identification Using Nearest Neighbor Methods for Background Estimation. IEEE Transactions on Geoscience and Remote Sensing (2025)

Scout JarmanZigfried Hampel-AriasAdra CarrKevin R. Moon

fire detectionbackground estimationenvironmental monitoringpattern recognitionimage analysisdata science

Random Forest Autoencoders for Guided Representation Learning. arXiv (Cornell University) (2025)

Aumon, AdrienNi, ShuangLizotte, MyriamWolf, GuyMoon, Kevin R.Rhodes, Jake S.

Advancing Tabular Data Classification With Graph Neural Networks: A Random Forest Proximity Method. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Soheila FarokhiHaozhe ChenKevin MoonHamid Karimi

Enhancing Supervised Visualization Through Autoencoder and Random Forest Proximities for Out-Of-Sample Extension. arXiv (Cornell University) (2024)

Shuang NiAdrien AumonGuy WolfKevin R. MoonJake S. Rhodes

Exploring Higher-Order Neural Network Node Interactions With Total Correlation. arXiv (Cornell University) (2024)

Kerby, ThomasWhite, TeresaMoon, Kevin

Forest Proximities for Time Series. arXiv (Cornell University) (2024)

Shaw, BenRhodes, JakeBoubrahimi, Soukaina FilaliMoon, Kevin R.

Improved Background Estimation for Gas Plume Identification in Hyperspectral Images. arXiv (Cornell University) (2024)

Jarman, ScoutHampel-Arias, ZigfriedCarr, AdraMoon, Kevin R.

Incorporating Taylor Series and Recursive Structure in Neural Networks for Time Series Prediction. arXiv (Cornell University) (2024)

Mau, JarrodMoon, Kevin

Learning Local Higher-Order Interactions With Total Correlation. (2024)

Thomas KerbyTeresa WhiteKevin R. Moon

total correlationgeometric learningcomputational sciencemachine learning researchapplied mathematicsstatistical mechanicscomputational statisticsmachine learning

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University of Illinois Urbana-Champaign

statistical inference

data mining

Soukaina Filali Boubrahimi

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temporal pattern recognition

information visualization

Jing Lei

Institution

Carnegie Mellon University

general systems

digital image processing

Carey Priebe

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deep learning

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artificial society

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signal processing

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