Faculty

Institution

Unit

Venue

Ayush Goyal

Assistant Professor

Texas A&M University–Kingsville

Affiliations

Academic Affairs

Frank H. Dotterweich College of Engineering

Department of Electrical Engineering and Computer Science

Ayush Goyal is currently serving as an Academic Affairs Assistant Professor at Texas A&M University–Kingsville.

Honors

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Experiences

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Education

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Ayush Goyal

Texas A&M University–Kingsville

Assistant Professor

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machine learning medical imaging computer science image segmentation health sciences magnetic resonance imaging neuroimaging biomedical imaging medical image analysis biomedical engineering artificial intelligence medical image computing systems engineering pattern recognition cardiology computer vision computational imaging computer-aided diagnosis digital health intelligent processing health technology respiratory medicine biomedical informatics intelligent computing scientific computing biomedical technologies brain imaging brain mri images computational intelligence healthcare engineering tissue imaging innovative diagnostics object detection cardiac mri images information technology biomedical analysis disease detection computational medicine health monitoring image classification automatic detection left ventricle segmentation human-computer interaction numerical simulations mobile computing vehicular technology electronics biomedical modeling convolutional neural networks advanced imaging medical technology medical biophysics disease diagnosis video surveillance disease classification prognosis feature extraction image processing optical tissue properties cardiac mri graphical computational tool smart living smart health smart systems information technology management spam filtering health system engineering biomedical systems burn images cardiac perfusion android platforms security systems android application development document labeling machine intelligence-based algorithms whole-organ arterial networks deep learning bioinformatics bio-inspired computation technology biomedical signal applied artificial intelligence ai healthcare advanced intelligent system

Notable Scholarly Works

Notable Federal Grants

Collaborators

AI2DS: Advanced Deep Autoencoder-Driven Method for Intelligent Network Intrusion Detection Systems. (2025)

Md Habibur RahmanLeo MartinezAvdesh MishraMais NijimAyush GoyalDavid Hicks

computer securityautoencoderscomputational intelligencedata securitymachine learning researchdata miningintelligent computingcomputer scienceintelligent data analysismachine learningadversarial machine learningdata sciencecomputer engineeringintrusion detection systemsartificial intelligencedata privacydeep learningreal-time adaptive security

A Hybrid Regression-Based Network Model for Continuous Face Recognition and Authentication. International Journal of Advanced Computer Science and Applications (2024)

Bhanu Kiran DevisettyAyush GoyalAvdesh MishraMais W NijimDavid HicksGeorge Toscano

computer sciencecomputational imagingmachine visionimage analysisobject detectioncomputer visionface detectionscientific computingautomatic identificationobject recognitiondata scienceinformation fusioncognitive sciencefeature detectioncontinuous face recognitionpattern recognitionmachine learning researchmachine learningdeep learning

Avtar Cyber Shield: A Comprehensive Framework for Machine Learning-Enhanced Cybersecurity in Cyber-Physical Environment. (2024)

Venkata Narendra Kumar SykamAyush GoyalMais NijimAvdesh MishraDavid Hicks

computer securitycyber-physical environmentdata securitymachine learning-enhanced cybersecuritycyber-physical systemsunmanned aerial vehiclescybersecurity systemscyber security engineeringtechnologycomputer sciencemachine learningcybersecurity educationcomputer engineeringinformation securitycomprehensive frameworkavtar cyber shield

Enhancing Intrusion Detection Through Deep Learning and Generative Adversarial Network. (2024)

Md Habibur RahmanLeo MartinezAvdesh MishraMais NijimAyush GoyalDavid Hicks

computer securitycomputer sciencemachine learningintrusion detectiongenerative adversarial networksdeep learning

An Assessment of Machine Learning Algorithms in Diagnosing Cardiovascular Disease From Right Ventricle Segmentation of Cardiac Magnetic Resonance Images. Healthcare Analytics (2023)

Anupama BhanParthasarathi MangipudiAyush Goyal

diagnosisinnovative diagnosticscomputer-aided diagnosismedicinebiomedical imaginghealth care analyticsmedical image computingcardiologymedical image analysismachine learningmedical imagingpublic healthright ventricle segmentationhealth sciencescardiovascular disease

Applications of Advanced Artificial Intelligence in Multimedia and Information Security. Multimedia Tools and Applications (2023)

Ayush GoyalSanju Tiwari

advanced artificial intelligencecomputer scienceinformation security

Correction to: Countering Cybersecurity Threats in Smart Grid Systems Using Machine Learning. Springer eBooks (2023)

Mais NijimHisham AlbatainehViswas KanumuriAyush GoyalAvdesh MishraDavid Hicks

smart grid systemssystems engineeringinformation securitymachine learning

Covid-19 Radiograph Prognosis Using a Deep Cresnext Network. Multimedia Tools and Applications (2023)

Dhirendra P. YadavAnand Singh JalalAyush GoyalAvdesh MishraKhem UpretyNirmal Guragai

covid-19prognosisdeep cresnext networkrespiratory medicineradiologymedical imaging

Deep and Transfer Learning Based Methods for Left Ventricle Segmentation From Cardiac Mri Images to Identify Cardiovascular Ailments. Research Square (Research Square) (2023)

Anupama BhanParthasarathi MangipudiAyush Goyal

magnetic resonance imagingmedical image computingmedical image analysiscomputational imagingrespiratory medicineimage analysisimage segmentationtransfer learningbiomedical imagingcardiovascular ailmentscardiac mri imagesleft ventricle segmentationtechnologyradiologyhealth sciencescomputer-aided diagnosiscardiologymachine learningmedical imagingdeep learning

Efficient Computational Technique of De-Convolution and Image Blending for Motion Blurring Problems in Medical Imaging. International Journal of Systems Assurance Engineering and Management (2023)

Poonam SharmaAshwani Kumar DubeyAyush Goyal

systems engineeringengineeringmotion blurring problemsefficient computational techniquemachine learningbiomedical engineeringimage blendingmedical imagingdeep learning

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Ayush Goyal

Assistant Professor

Texas A&M University–Kingsville

Affiliations

Academic Affairs

Frank H. Dotterweich College of Engineering

Department of Electrical Engineering and Computer Science

Ayush Goyal is currently serving as an Academic Affairs Assistant Professor at Texas A&M University–Kingsville.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ayush Goyal

Texas A&M University–Kingsville

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

AI2DS: Advanced Deep Autoencoder-Driven Method for Intelligent Network Intrusion Detection Systems. (2025)

Md Habibur RahmanLeo MartinezAvdesh MishraMais NijimAyush GoyalDavid Hicks

A Hybrid Regression-Based Network Model for Continuous Face Recognition and Authentication. International Journal of Advanced Computer Science and Applications (2024)

Bhanu Kiran DevisettyAyush GoyalAvdesh MishraMais W NijimDavid HicksGeorge Toscano

Avtar Cyber Shield: A Comprehensive Framework for Machine Learning-Enhanced Cybersecurity in Cyber-Physical Environment. (2024)

Venkata Narendra Kumar SykamAyush GoyalMais NijimAvdesh MishraDavid Hicks

Enhancing Intrusion Detection Through Deep Learning and Generative Adversarial Network. (2024)

Md Habibur RahmanLeo MartinezAvdesh MishraMais NijimAyush GoyalDavid Hicks

computer securitycomputer sciencemachine learningintrusion detectiongenerative adversarial networksdeep learning

An Assessment of Machine Learning Algorithms in Diagnosing Cardiovascular Disease From Right Ventricle Segmentation of Cardiac Magnetic Resonance Images. Healthcare Analytics (2023)

Anupama BhanParthasarathi MangipudiAyush Goyal

Applications of Advanced Artificial Intelligence in Multimedia and Information Security. Multimedia Tools and Applications (2023)

Ayush GoyalSanju Tiwari

advanced artificial intelligencecomputer scienceinformation security

Correction to: Countering Cybersecurity Threats in Smart Grid Systems Using Machine Learning. Springer eBooks (2023)

Mais NijimHisham AlbatainehViswas KanumuriAyush GoyalAvdesh MishraDavid Hicks

smart grid systemssystems engineeringinformation securitymachine learning

Covid-19 Radiograph Prognosis Using a Deep Cresnext Network. Multimedia Tools and Applications (2023)

Dhirendra P. YadavAnand Singh JalalAyush GoyalAvdesh MishraKhem UpretyNirmal Guragai

covid-19prognosisdeep cresnext networkrespiratory medicineradiologymedical imaging

Deep and Transfer Learning Based Methods for Left Ventricle Segmentation From Cardiac Mri Images to Identify Cardiovascular Ailments. Research Square (Research Square) (2023)

Anupama BhanParthasarathi MangipudiAyush Goyal

Efficient Computational Technique of De-Convolution and Image Blending for Motion Blurring Problems in Medical Imaging. International Journal of Systems Assurance Engineering and Management (2023)

Poonam SharmaAshwani Kumar DubeyAyush Goyal

systems engineeringengineeringmotion blurring problemsefficient computational techniquemachine learningbiomedical engineeringimage blendingmedical imagingdeep learning

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Similar Faculty Members

Ravi Sankar

Institution

University of South Florida

biocybernetics

signal processing

Khan Iftekharuddin

Institution

University of Memphis

signal processing

biomedical imaging

Yiyu Shi

Institution

University of Notre Dame

computer engineering

ai healthcare

KC Santosh

Institution

University of South Dakota

document images

data mining

Adel S Elmaghraby

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neural networks

intelligent systems

Mathias Unberath

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Johns Hopkins University

medical imaging

radiology

Jennifer Dy

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pattern recognition

dempster-shafer theory

Ioannis Kakadiaris

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ai healthcare

biometrics

Jun Kong

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design

interaction paradigm

Oge Marques

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deep learning

multidisciplinary ai