Faculty

Institution

Unit

Venue

Qingzhong Liu

Professor

Sam Houston State University

Affiliations

College of Science and Engineering Technology

Department of Computer Science

Qingzhong Liu is currently serving as a College Of Science And Engineering Technology Professor at Sam Houston State University.

Honors

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Experiences

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Education

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Qingzhong Liu

Sam Houston State University

Professor

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computer science machine learning data science pattern recognition image analysis computer vision information security information forensics bioinformatics digital image processing steganalysis genomics data security technology image compression steganography image forensics biostatistics mobile computing multimedia information processing image manipulation communication security machine vision mobile security data hiding jpeg images information technology data compression multimedia security feature selection genome-wide association studies fraud detection information hiding feature mining genome biology image representation computational intelligence microarray data analysis digital audio genotype-phenotype association computational genomics video forensics comparison study critical dimension computational imaging multimedia computing heredity biomedical informatics information fusion audio signal processing software security audio analysis classification method gene selection knowledge discovery cancer biology disease classification firmware detection deception detection phishing data classification translational bioinformatics forensics analysis social medium data genetic analysis grayscale images image complexity android malware detection jpeg steganalysis improved approach wavelet transform polynomial fitting recompression attacks temporal derivative-based spectrum injection profiles pattern classification deep learning digital forensics artificial intelligence

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Comparison Study in Detecting Knee Osteoarthritis Severity With Deep Leaning. (2024)

arthritiskinesiologycomparison studydiagnosisorthopedic biomechanicsknee surgerymusculoskeletal imagingorthopedic surgerymusculoskeletal disordersosteoarthritischronic musculoskeletal conditionsorthopaedic surgery

Advanced Algorithmic Approaches for Scam Profile Detection on Instagram. Electronics (2024)

Biodoumoye George BokoloQingzhong Liu

abuse detectionfraud detectioncommunication securitydeception detectionscam profile detectiondata mininginformation technologydisinformation detectioninformation securitycomputer science

Advanced Comparative Analysis of Machine Learning and Transformer Models for Depression and Suicide Detection in Social Media Texts. Electronics (2024)

Biodoumoye George BokoloQingzhong Liu

suicide detectionadvanced comparative analysistransformer modelsdepressionsocial mediacomparative analysiselectronicssocial media textsmachine learningbehavioral sciences

Artificial Intelligence in Social Media Forensics: A Comprehensive Survey and Analysis. Electronics (2024)

Biodoumoye George BokoloQingzhong Liu

technologyinformation forensicsinformation sciencesocial media forensicsartificial intelligencesocial mediaforensics analysisdata scienceinformation securitycomputer science

Detection and Prediction of Cardiovascular Disease Using Fundus Images With Deep Learning. (2024)

biomedical informaticsradiologyconvolutional neural networkscardiovascular researchcardiovascular imagingcomputer-aided diagnosisdeep learningmedical imagingbiostatisticsmedical image computingvisual diagnosisdigital medicinemedical image analysismachine learningcardiovascular disease

Human Activity Recognition and Abnormality Detection Using Deep Learning. (2024)

activity recognitioncomputer visionvideo interpretationdeep learningpattern recognitionmachine learning researchdata sciencehuman activity recognitionmachine learning

Suicide Detection in Tweets Using LSTM and Transformers. (2024)

abuse detectiontweets using lstmmultimodal sentiment analysisaffective computingsocial medialanguage modelsnatural language processingsocial medium datamachine learning researchcontent analysis

A Comparison Study to Detect Malware Using Deep Learning and Machine Learning Techniques. (2023)

Biodoumoye BokoloRazaq JinadQingzhong Liu

firmware detectioncomparison studycomputer securitydeep learningmachine learning techniquescomputer sciencemalware analysis

Comparative Analysis of NLP Models for Detecting Depression on Twitter. (2023)

Khushi GuptaRazaq JinadQingzhong Liu

nlp modelsdepressionpsychologysocial mediapsychiatrydisinformation detection

Crime-Intent Sentiment Detection on Twitter Data Using Machine Learning. 2021 6th International Conference on Automation, Control and Robotics Engineering (CACRE) (2023)

Biodoumoye George BokoloEbikela Ogegbene-IseLei ChenQingzhong Liu

crime-intent sentiment detectioncriminologysocial mediadata sciencemachine learningtwitter data

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Qingzhong Liu

Professor

Sam Houston State University

Affiliations

College of Science and Engineering Technology

Department of Computer Science

Qingzhong Liu is currently serving as a College Of Science And Engineering Technology Professor at Sam Houston 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

Qingzhong Liu

Sam Houston State University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Comparison Study in Detecting Knee Osteoarthritis Severity With Deep Leaning. (2024)

Advanced Algorithmic Approaches for Scam Profile Detection on Instagram. Electronics (2024)

Biodoumoye George BokoloQingzhong Liu

abuse detectionfraud detectioncommunication securitydeception detectionscam profile detectiondata mininginformation technologydisinformation detectioninformation securitycomputer science

Advanced Comparative Analysis of Machine Learning and Transformer Models for Depression and Suicide Detection in Social Media Texts. Electronics (2024)

Biodoumoye George BokoloQingzhong Liu

suicide detectionadvanced comparative analysistransformer modelsdepressionsocial mediacomparative analysiselectronicssocial media textsmachine learningbehavioral sciences

Artificial Intelligence in Social Media Forensics: A Comprehensive Survey and Analysis. Electronics (2024)

Biodoumoye George BokoloQingzhong Liu

technologyinformation forensicsinformation sciencesocial media forensicsartificial intelligencesocial mediaforensics analysisdata scienceinformation securitycomputer science

Detection and Prediction of Cardiovascular Disease Using Fundus Images With Deep Learning. (2024)

Human Activity Recognition and Abnormality Detection Using Deep Learning. (2024)

activity recognitioncomputer visionvideo interpretationdeep learningpattern recognitionmachine learning researchdata sciencehuman activity recognitionmachine learning

Suicide Detection in Tweets Using LSTM and Transformers. (2024)

abuse detectiontweets using lstmmultimodal sentiment analysisaffective computingsocial medialanguage modelsnatural language processingsocial medium datamachine learning researchcontent analysis

A Comparison Study to Detect Malware Using Deep Learning and Machine Learning Techniques. (2023)

Biodoumoye BokoloRazaq JinadQingzhong Liu

firmware detectioncomparison studycomputer securitydeep learningmachine learning techniquescomputer sciencemalware analysis

Comparative Analysis of NLP Models for Detecting Depression on Twitter. (2023)

Khushi GuptaRazaq JinadQingzhong Liu

nlp modelsdepressionpsychologysocial mediapsychiatrydisinformation detection

Crime-Intent Sentiment Detection on Twitter Data Using Machine Learning. 2021 6th International Conference on Automation, Control and Robotics Engineering (CACRE) (2023)

Biodoumoye George BokoloEbikela Ogegbene-IseLei ChenQingzhong Liu

crime-intent sentiment detectioncriminologysocial mediadata sciencemachine learningtwitter data

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image forensics

information security

Oge Marques

Institution

Florida Atlantic University

deep learning

multidisciplinary ai

Koduvayur Subbalakshmi

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Stevens Institute of Technology

information security

information forensics

Ali Akansu

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New Jersey Institute of Technology

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design

interaction paradigm

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information security

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forensic science

forensic analysis

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memetic computing

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data security

communication security