Faculty

Institution

Unit

Venue

Bing Zhou

Associate Professor; Chair

Sam Houston State University

Affiliations

College of Science and Engineering Technology

Department of Computer Science

Bing Zhou is currently serving as a College Of Science And Engineering Technology Associate Professor; Chair at Sam Houston State University.

Honors

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Experiences

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Education

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Bing Zhou

Sam Houston State University

Associate Professor; Chair

You can click a keyword to filter the displayed items

computer science data science rough set computer security information security information granule forensic science pattern recognition information forensics digital forensics set theory machine learning granular computing logic in computer science data security mathematical logic data management databases automated reasoning knowledge discovery machine learning research intelligent information retrieval digital investigation computer forensics computational intelligence software analysis logic programming computational logic database security forensic analysis classification method forensics analysis intelligent classification logic approach mathematics public policy web search recommender systems information management multimedia information processing approximate reasoning statistical methodology interactive information retrieval security testing targeted attack rule induction service security digital watermarking image forensics image manipulation multimedia security imprecise probabilities probabilistic analysis feature selection feature construction iot data management ultra-low latency low latency algorithmic bias fair data principle cost-sensitive machine learning attribute reduct user preference logic language sql injection attack google chrome digital forensic analysis classification rules play protect service improved approach jpeg images content-aware scaling-based tampering probabilistic rough sets effective granularity automation tools scalable implementations soft computing data mining

Notable Scholarly Works

Notable Federal Grants

Collaborators

Adversarial Training for Aerial Disaster Recognition: A Curriculum-Based Defense Against Pgd Attacks. Electronics (2025)

unmanned aerial vehiclesai safetyadversarial trainingbomb damage assessmentaerial disaster recognitionmachine learning researchpattern recognitiondata sciencecomputer scienceadversarial machine learningunmanned aircraft systems

Bias and Fairness in Software and Automation Tools in Digital Forensics. Journal of Surveillance Security and Safety (2024)

automation toolstechnologydigital investigationfairnessinformation forensicsforensic sciencealgorithmic biascomputer forensicssoftware engineeringbiasdigital forensicsfair data principletechnology lawcomputer scienceautomation

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

Anomaly Based Malware Threat Detection on Linux Systems. (2023)

software analysisanti-virus techniquecomputer securityoperating systemsmalware threat detectiondata securityinformation securitysystem softwarethreat detectioncomputer sciencesystem safetymalware analysis

Detecting Web-Based Attacks: A Comparative Analysis of Machine Learning and Bert Transformer Approaches. Lecture notes in computer science (2023)

abuse detectioninformation forensicsmachine learningcomputer securitybert transformer approachescomparative analysisdata sciencethreat detectioncomputer scienceattack model

Ethical Hacking in Digital Forensics. 2021 IEEE International Conference on Big Data (Big Data) (2023)

Damilola OladimejiLaura GarlandJayanthi RamamoorthyBing Zhou

ethical hackingdigital forensicsinformation security

Android App Antiforensics. Journal of Surveillance Security and Safety (2022)

android app antiforensicsmedicinemobile malwarepharmacognosy

Applying Rough Set Theory for Digital Forensics Evidence Analysis. Lecture notes in computer science (2022)

Khushi GuptaRazaq JinadZhou Bing

rough set theorycomputer scienceforensic sciencedigital forensics

Detection of Anti-Forensics and Malware Applications in Volatile Memory Acquisition. Lecture notes in computer science (2022)

Chandlor RatcliffeBiodoumoye George BokoloDamilola OladimejiBing Zhou

anti-forensicscomputer forensicsmalware applicationscomputer securityanomaly detectionvolatile memory acquisitionthreat detectioncomputer sciencemalware analysis

Digital Forensic Analysis of Discord on Google Chrome. Forensic Science International Digital Investigation (2022)

Khushi GuptaCihan VarolBing Zhou

digital investigationforensic sciencegoogle chromedigital forensicsdigital forensic analysiscomputer scienceforensic analysis

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Bing Zhou

Associate Professor; Chair

Sam Houston State University

Affiliations

College of Science and Engineering Technology

Department of Computer Science

Bing Zhou is currently serving as a College Of Science And Engineering Technology Associate Professor; Chair 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

Bing Zhou

Sam Houston State University

Associate Professor; Chair

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Adversarial Training for Aerial Disaster Recognition: A Curriculum-Based Defense Against Pgd Attacks. Electronics (2025)

Bias and Fairness in Software and Automation Tools in Digital Forensics. Journal of Surveillance Security and Safety (2024)

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

Anomaly Based Malware Threat Detection on Linux Systems. (2023)

Detecting Web-Based Attacks: A Comparative Analysis of Machine Learning and Bert Transformer Approaches. Lecture notes in computer science (2023)

abuse detectioninformation forensicsmachine learningcomputer securitybert transformer approachescomparative analysisdata sciencethreat detectioncomputer scienceattack model

Ethical Hacking in Digital Forensics. 2021 IEEE International Conference on Big Data (Big Data) (2023)

Damilola OladimejiLaura GarlandJayanthi RamamoorthyBing Zhou

ethical hackingdigital forensicsinformation security

Android App Antiforensics. Journal of Surveillance Security and Safety (2022)

android app antiforensicsmedicinemobile malwarepharmacognosy

Applying Rough Set Theory for Digital Forensics Evidence Analysis. Lecture notes in computer science (2022)

Khushi GuptaRazaq JinadZhou Bing

rough set theorycomputer scienceforensic sciencedigital forensics

Detection of Anti-Forensics and Malware Applications in Volatile Memory Acquisition. Lecture notes in computer science (2022)

Chandlor RatcliffeBiodoumoye George BokoloDamilola OladimejiBing Zhou

anti-forensicscomputer forensicsmalware applicationscomputer securityanomaly detectionvolatile memory acquisitionthreat detectioncomputer sciencemalware analysis

Digital Forensic Analysis of Discord on Google Chrome. Forensic Science International Digital Investigation (2022)

Khushi GuptaCihan VarolBing Zhou

digital investigationforensic sciencegoogle chromedigital forensicsdigital forensic analysiscomputer scienceforensic analysis

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Institution

Sam Houston State University

record linkage

pattern matching techniques

Edoardo Serra

Institution

Boise State University

trustworthy ai

ml/ai applications

Elias Bou-Harb

Institution

Louisiana State University

information security

infrastructure security

Shuhan Yuan

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computational intelligence

text mining

William Eberle

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anomaly detection

artificial intelligence workforce development

Duminda Wijesekera

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George Mason University

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cps security

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information security

computer science

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University of Illinois Chicago

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software security

Oge Marques

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Florida Atlantic University

deep learning

multidisciplinary ai

Xintao Wu

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machine learning

computer science