Faculty

Institution

Unit

Venue

Lin Deng

Associate Professor

Towson University

Affiliations

Jess & Mildred Fisher College of Science & Mathematics

Department of Computer & Information Sciences

Lin Deng is currently serving as a Computer & Information Sciences Associate Professor at Towson 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

Lin Deng

Towson University

Associate Professor

You can click a keyword to filter the displayed items

computer science software testing systems engineering software engineering machine learning software analysis data science program analysis computer security computer engineering computing education machine learning research mutation-based testing digital forensics information technology mobile computing experimental evaluation formal methods software design software security software maintenance data security distance education semantic web computational intelligence genetic programming human-computer interaction smart contracts knowledge engineering web service specification security testing method software engineering education mutation operators reliability engineering programming languages cyber conflict educational strategies educational assessment software requirements requirement engineering requirement modeling software requirement specification non-functional requirement usable security application analysis source code analysis static program analysis static checking recurrent neural networks generative adversarial networks synthetic data smart contract language automated repair fault injection code representation code generation grammar induction testing technique test automation open-source software automatic classification online learning mutant subsumption graphs empirical evaluation neural networks organizational case studies android apps one-op mutation java source code prototype tool solidity smart contracts cyber attack data empirical study bytecode instrumentation industrial tools source code instrumentation artificial intelligence

Notable Scholarly Works

Notable Federal Grants

Collaborators

Enhancing Digital Forensics Evidence Analysis With Large Language Models. (2025)

digital evidence extractioncontent analysisinformation forensicsforensic sciencedata sciencecomputer forensicsdigital forensicslarge language models

Enhancing Mutation Testing Efficiency: A Comparative Study of Machine Learning Models for Equivalent Mutant Identification. Software Testing Verification and Reliability (2025)

genetic programmingbiostatisticsmutagenesismutagenesis (molecular biology technique)software testingmachine learning modelsequivalent mutant identificationmutation testing efficiencycomputational testingevolutionary intelligencemachine learning researchmodel selectiontest evolutionmutation-based testingevolution-based methodgenetics

Forensic Intelligence Graphs: An Llm Approach to Digital Evidence Extraction and Relationship Analysis. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2025)

informaticscomputer sciencedigital evidence extractiondigital investigationknowledge discoveryllm approachforensic intelligence graphsinformation sciencedata miningforensic sciencedata scienceinformation forensicscomputer forensicsforensic searchdigital forensics

Leveraging Large Language Models for Generating Training Datasets for Text Extraction From Thumbnails. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2025)

natural language generationmultimodal llmlanguage modelsmultimedia retrievaltext-to-image retrievaltext extractiontraining datasetscomputational linguisticsdata sciencenatural language processingtext miningmachine learninglarge language models

Enhancing Network Traffic Classification With Large Language Models. 2021 IEEE International Conference on Big Data (Big Data) (2024)

computer scienceknowledge discoverynetwork traffic classificationinternet traffic analysisnetworked system designnetwork traffic measurementlanguage resourcesmachine learning researchnatural language processingdata sciencelanguage modelsnetwork analysismachine learningtraffic monitoring

Mutant-Kraken: A Mutation Testing Tool for Kotlin. (2024)

mutagenesismutagenesis (molecular biology technique)mutation testing toolmolecular diagnosticsmutation-based testinggenetics

Experimental Evaluation of Adversarial Attacks Against Natural Language Machine Learning Models. (2023)

Jonathan LiSteven PughHonghe ZhouLin DengJosh DehlingerSuranjan Chakraborty

computer scienceexperimental evaluationmachine learningadversarial attacks

Reconstructing Android User Behavior Through Timestamped State Models. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2023)

Honghe ZhouPhuong Dinh NguyenLin DengWeifeng XuJosh DehlingerSuranjan Chakraborty

information securitycomputer engineeringmobile computingsystems engineeringmobile sensingandroid user behaviorerror correction codebehavioral researchtimestamped state modelsparameter identificationstate estimationtime seriesactive controluser interfaceshuman behaviortemporal pattern recognitionprogram analysistechnologyhuman-computer interactionvehicular technology

A Hands-on Digital Forensic Lab to Investigate Morris Worm Attack. (2022)

digital investigationinfectious diseasesnetwork forensicsmicrobiologycomputer securitypathogensinformation forensicsforensic sciencecomputer forensicscyber crime investigationdigital forensics

A Practical Style Guide and Templates Repository for Writing Effective Use Cases. Studies in computational intelligence (2022)

Bingyang WeiLin DengYi Wang

artificial intelligencecomputer sciencepractical style guidebenchmark studiesuse casecomputational intelligencedesigninformation technologymachine learning

1
2
3
4
5
10 / page

Lin Deng

Associate Professor

Towson University

Affiliations

Jess & Mildred Fisher College of Science & Mathematics

Department of Computer & Information Sciences

Lin Deng is currently serving as a Computer & Information Sciences Associate Professor at Towson 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

Lin Deng

Towson University

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Enhancing Digital Forensics Evidence Analysis With Large Language Models. (2025)

digital evidence extractioncontent analysisinformation forensicsforensic sciencedata sciencecomputer forensicsdigital forensicslarge language models

Enhancing Mutation Testing Efficiency: A Comparative Study of Machine Learning Models for Equivalent Mutant Identification. Software Testing Verification and Reliability (2025)

Forensic Intelligence Graphs: An Llm Approach to Digital Evidence Extraction and Relationship Analysis. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2025)

Leveraging Large Language Models for Generating Training Datasets for Text Extraction From Thumbnails. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2025)

Enhancing Network Traffic Classification With Large Language Models. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Mutant-Kraken: A Mutation Testing Tool for Kotlin. (2024)

mutagenesismutagenesis (molecular biology technique)mutation testing toolmolecular diagnosticsmutation-based testinggenetics

Experimental Evaluation of Adversarial Attacks Against Natural Language Machine Learning Models. (2023)

Jonathan LiSteven PughHonghe ZhouLin DengJosh DehlingerSuranjan Chakraborty

computer scienceexperimental evaluationmachine learningadversarial attacks

Reconstructing Android User Behavior Through Timestamped State Models. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2023)

Honghe ZhouPhuong Dinh NguyenLin DengWeifeng XuJosh DehlingerSuranjan Chakraborty

A Hands-on Digital Forensic Lab to Investigate Morris Worm Attack. (2022)

digital investigationinfectious diseasesnetwork forensicsmicrobiologycomputer securitypathogensinformation forensicsforensic sciencecomputer forensicscyber crime investigationdigital forensics

A Practical Style Guide and Templates Repository for Writing Effective Use Cases. Studies in computational intelligence (2022)

Bingyang WeiLin DengYi Wang

artificial intelligencecomputer sciencepractical style guidebenchmark studiesuse casecomputational intelligencedesigninformation technologymachine learning

1
2
3
4
5
10 / page