Faculty

Institution

Unit

Venue

Scott King

professor

Texas A&M University–Corpus Christi

Affiliations

College of Engineering and Computer Science

Department of Computer Science

Department of Engineering

Scott King is currently serving as a College Of Engineering And Computer Science professor at Texas A&M University–Corpus Christi.

Honors

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Experiences

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Education

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Scott King

Texas A&M University–Corpus Christi

professor

You can click a keyword to filter the displayed items

computer science machine learning data science computer vision artificial intelligence deep learning robotics applied mathematics environmental science edge computing visualization mobile computing computer animation internet of things machine vision path planning applied geography intelligent computing plant science speech processing urban geography weather forecasting generative ai geospatial mapping facial animation task partitioning animated speech autonomous robots soft computing computational intelligence ocean sciences ocean engineering marine engineering operational oceanography engineering optimization avian biology task allocation ocean technology energy optimization energy efficient drive computational visualization satellite meteorology applied meteorology convolutional neural networks vegetation science spectral analysis marine ecology geospatial data expressive rendering volume rendering data capture motion capture nonverbal communication sensor arrays indoor positioning systems sensor technology sensor design tree growth shape modeling earth observation environmental data data aggregation unknown environments hybrid action space mobile-edge computing visibility graphs reward-based path planning particle swarm optimization autonomous surface vehicle speech-synchronized animation constant-volume modeling deep-learning model flooded urban environments attention mechanism fog prediction double-branch dense block intelligent systems technology machine intelligence industrial artificial intelligence ai architecture design multidisciplinary ai

Notable Scholarly Works

Notable Federal Grants

Collaborators

Enhancing Generative AI Reliability via Agentic AI in 6G-Enabled Edge Computing. Nature Reviews Electrical Engineering (2025)

ai reliabilityedge intelligencecomputer engineeringmulti-access edge computingartificial intelligenceintelligent computinggenerative ai reliability6g-enabled edge computingintelligent systemsagentic aicomputer scienceedge computing

Enhancing Generative AI Reliability via Agentic AI in 6G-Enabled Edge Computing. (2025)

Laha AleScott A KingNing ZhangHuanlai Xing

ai reliabilityartificial intelligencegenerative ai reliabilitygenerative ai6gagentic aicomputer scienceedge computing

The Influence of Correlated Features on Neural Network Attribution Methods in Geoscience. Environmental Data Science (2025)

Evan KrellAntonios MamalakisScott A. KingPhilippe TissotImme Ebert-Uphoff

neural network (machine learning)correlated featuresenvironmental sciencegeoscientific model developmentdata scienceenvironmental data

The Potential Limitations of Monoplotting in Cross-View Geo-Localization Conditions. ISPRS Open Journal of Photogrammetry and Remote Sensing (2025)

spatial analysiscross-view geo-localization conditionscartographygeographygeodesygeospatial mappingspatial verificationmulti-view geometrylocalization techniquelocalization

Empowering Generative AI Through Mobile Edge Computing. Nature Reviews Electrical Engineering (2024)

Laha AleNing ZhangScott A. KingDajiang Chen

mobile computingartificial intelligencegenerative aielectrical engineeringinternet of thingsedge computing

Fognet-V2.0: Explainable Physics-Informed Vision Transformer for Coastal Fog Forecasting. Authorea (Authorea) (2024)

Hamid KamangirEvan KrellWaylon CollinsScott A KingPhilippe Tissot

fog computingcoastal fog forecastingcomputer visionenvironmental scienceintelligent computingclimate forecastingmachine visionimage analysisdata scienceweather forecastingforecastingmachine learningcomputer science

Simplified Indoor Localization Using Bluetooth Beacons and Received Signal Strength Fingerprinting With Smartwatch. Sensors (2024)

Leana BouseScott A. KingTianxing Chu

sensor technologytechnologywearable technologysensor arrayscomputer visionindoor positioning systemssensorssensor designindoor localizationinstrumentation

Using Grouped Features to Improve Explainable AI Results for Atmospheric AI Models That Use Gridded Spatial Data and Complex Machine Learning Technique. Authorea (Authorea) (2024)

Evan KrellPhilippe TissotAntonios MamalakisWaylon CollinsImme Ebert-UphoffScott King

machine learningartificial intelligencecomputer scienceexplainable aiatmospheric ai models

Aggregating Xai Methods for Insights Into Geoscience Models With Correlated and High-Dimensional Rasters. Authorea (Authorea) (2023)

Evan KrellHamid KamangirWaylon CollinsScott A KingPhilippe Tissot

high-dimensional rastersxai methodsearth sciencegeoscience modelsmachine learning

Aggregation Strategies to Improve Xai for Geoscience Models That Use Correlated, High-Dimensional Rasters. Environmental Data Science (2023)

Evan KrellHamid KamangirWaylon CollinsScott A. KingPhilippe Tissot

high-dimensional rastersaggregation strategiesdata sciencegeoscience modelsmachine learningdata aggregation

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Scott King

professor

Texas A&M University–Corpus Christi

Affiliations

College of Engineering and Computer Science

Department of Computer Science

Department of Engineering

Scott King is currently serving as a College Of Engineering And Computer Science professor at Texas A&M University–Corpus Christi.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Scott King

Texas A&M University–Corpus Christi

professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Enhancing Generative AI Reliability via Agentic AI in 6G-Enabled Edge Computing. Nature Reviews Electrical Engineering (2025)

Enhancing Generative AI Reliability via Agentic AI in 6G-Enabled Edge Computing. (2025)

Laha AleScott A KingNing ZhangHuanlai Xing

ai reliabilityartificial intelligencegenerative ai reliabilitygenerative ai6gagentic aicomputer scienceedge computing

The Influence of Correlated Features on Neural Network Attribution Methods in Geoscience. Environmental Data Science (2025)

Evan KrellAntonios MamalakisScott A. KingPhilippe TissotImme Ebert-Uphoff

neural network (machine learning)correlated featuresenvironmental sciencegeoscientific model developmentdata scienceenvironmental data

The Potential Limitations of Monoplotting in Cross-View Geo-Localization Conditions. ISPRS Open Journal of Photogrammetry and Remote Sensing (2025)

spatial analysiscross-view geo-localization conditionscartographygeographygeodesygeospatial mappingspatial verificationmulti-view geometrylocalization techniquelocalization

Empowering Generative AI Through Mobile Edge Computing. Nature Reviews Electrical Engineering (2024)

Laha AleNing ZhangScott A. KingDajiang Chen

mobile computingartificial intelligencegenerative aielectrical engineeringinternet of thingsedge computing

Fognet-V2.0: Explainable Physics-Informed Vision Transformer for Coastal Fog Forecasting. Authorea (Authorea) (2024)

Hamid KamangirEvan KrellWaylon CollinsScott A KingPhilippe Tissot

Simplified Indoor Localization Using Bluetooth Beacons and Received Signal Strength Fingerprinting With Smartwatch. Sensors (2024)

Leana BouseScott A. KingTianxing Chu

sensor technologytechnologywearable technologysensor arrayscomputer visionindoor positioning systemssensorssensor designindoor localizationinstrumentation

Using Grouped Features to Improve Explainable AI Results for Atmospheric AI Models That Use Gridded Spatial Data and Complex Machine Learning Technique. Authorea (Authorea) (2024)

Evan KrellPhilippe TissotAntonios MamalakisWaylon CollinsImme Ebert-UphoffScott King

machine learningartificial intelligencecomputer scienceexplainable aiatmospheric ai models

Aggregating Xai Methods for Insights Into Geoscience Models With Correlated and High-Dimensional Rasters. Authorea (Authorea) (2023)

Evan KrellHamid KamangirWaylon CollinsScott A KingPhilippe Tissot

high-dimensional rastersxai methodsearth sciencegeoscience modelsmachine learning

Aggregation Strategies to Improve Xai for Geoscience Models That Use Correlated, High-Dimensional Rasters. Environmental Data Science (2023)

Evan KrellHamid KamangirWaylon CollinsScott A. KingPhilippe Tissot

high-dimensional rastersaggregation strategiesdata sciencegeoscience modelsmachine learningdata aggregation

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10 / page

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design

geometric modeling

Zhigang Deng

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design

visualization

Amit Ranjan Trivedi

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University of Illinois Chicago

industrial artificial intelligence

ai architecture

Hamid Krim

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applied artificial intelligence

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multidisciplinary ai

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computer-integrated manufacturing

industrial artificial intelligence

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applied artificial intelligence

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