Faculty

Institution

Unit

Venue

Joshua Dehlinger

Professor; Program Director

Towson University

Affiliations

Jess & Mildred Fisher College of Science & Mathematics

Department of Computer & Information Sciences

Joshua Dehlinger is currently serving as a Computer & Information Sciences Professor; Program Director at Towson University.

Honors

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Experiences

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Education

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Joshua Dehlinger

Towson University

Professor; Program Director

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software engineering computer science systems engineering information security software analysis human-computer interaction program analysis computer security enterprise architecture business design management information systems enterprise information management software testing design theory health technology information management non-functional requirement enterprise information systems business architecture requirement engineering software requirements software security multi-agent systems digital health software maintenance data privacy usable privacy data security information technology educational strategies mobile health usability engineering secure by design medical internet research organization studies special education technology machine learning research requirement modeling recurrent neural networks static checking privacy concerns privacy issues fault analysis enterprise modelling visual impairments accessible game open-source software architecture management case studies safety analysis automated software engineering state-based modeling reliability engineering software requirement specification software product line computational thinking static program analysis source code analysis problematic smartphone use sexual privacy system architecture neural networks product lines general education curriculum java source code prototype tool gender differences model-based system architectures dynamic fault trees privacy policy comparison grounded theory method empirical study video games asset reuse secure software systems software quality assurance software safety

Notable Scholarly Works

Notable Federal Grants

Collaborators

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

mutation testing efficiencycomputational testingmachine learning modelstest evolutionmutagenesisgeneticsgenetic programmingequivalent mutant identificationsoftware testingbiostatisticsmachine learning researchevolutionary intelligencemutagenesis (molecular biology technique)mutation-based testingmodel selectionevolution-based method

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

informaticsinformation forensicsdigital investigationforensic scienceinformation sciencecomputer forensicsforensic intelligence graphsforensic searchdigital evidence extractiondata miningdigital forensicsllm approachknowledge discoverydata sciencecomputer science

An Information‐Theoretic Analysis of Security Behavior Intentions Amongst United States Poll Workers. Risk Analysis (2024)

Natalie M. ScalaJayant RajgopalYeabsira MezgebeJosh Dehlinger

united statessecurity behavior intentionsinformation-theoretic analysisbehavioral sciences

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

mutation testing toolgeneticsmolecular diagnosticsmutagenesis (molecular biology technique)mutagenesismutation-based testing

Understanding the Impact of Poll Worker Cybersecurity Behaviors on U.S. Election Integrity. (2024)

public integritycyber conflictpolitical scienceelectronic votingpolitical psychologypublic policypolitical behaviorpolitical communicationpolitical analysisinformation securitysmart votingelection forecastingu.s. election integrityelectionsanti-cyberterrorism

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

Jonathan LiSteven PughHonghe ZhouLin DengJosh DehlingerSuranjan Chakraborty

adversarial attackscomputer sciencemachine learningexperimental evaluation

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

technologymobile computinguser interfaceserror correction codecomputer engineeringmobile sensingtimestamped state modelsstate estimationandroid user behaviorhuman behaviorbehavioral researchtemporal pattern recognitionactive controlsystems engineeringhuman-computer interactiontime seriesprogram analysisparameter identificationvehicular technologyinformation security

Evaluating Mail‐Based Security for Electoral Processes Using Attack Trees. Risk Analysis (2022)

political methodologypolitical sciencecommunication securitycomputer securityelectronic votingattack treespolitical analysisdata securityinformation securityelections

Towards Internet of Things (Iot) Forensics Analysis on Intelligent Robot Vacuum Systems. (2022)

information forensicsforensic sciencecomputer forensicsiot forensicsforensic searchtowards internetdigital forensicsforensics analysisiot systeminternet of things

Automatic Equivalent Mutants Classification Using Abstract Syntax Tree Neural Networks. (2021)

code generationsoftware analysiscode representationcomputational linguisticsgeneticsgenetic programmingprogram analysisgrammar inductioncomputer sciencemutation-based testingsoftware testing

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Joshua Dehlinger

Professor; Program Director

Towson University

Affiliations

Jess & Mildred Fisher College of Science & Mathematics

Department of Computer & Information Sciences

Joshua Dehlinger is currently serving as a Computer & Information Sciences Professor; Program Director 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

Joshua Dehlinger

Towson University

Professor; Program Director

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

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)

An Information‐Theoretic Analysis of Security Behavior Intentions Amongst United States Poll Workers. Risk Analysis (2024)

Natalie M. ScalaJayant RajgopalYeabsira MezgebeJosh Dehlinger

united statessecurity behavior intentionsinformation-theoretic analysisbehavioral sciences

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

mutation testing toolgeneticsmolecular diagnosticsmutagenesis (molecular biology technique)mutagenesismutation-based testing

Understanding the Impact of Poll Worker Cybersecurity Behaviors on U.S. Election Integrity. (2024)

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

Jonathan LiSteven PughHonghe ZhouLin DengJosh DehlingerSuranjan Chakraborty

adversarial attackscomputer sciencemachine learningexperimental evaluation

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

Evaluating Mail‐Based Security for Electoral Processes Using Attack Trees. Risk Analysis (2022)

political methodologypolitical sciencecommunication securitycomputer securityelectronic votingattack treespolitical analysisdata securityinformation securityelections

Towards Internet of Things (Iot) Forensics Analysis on Intelligent Robot Vacuum Systems. (2022)

information forensicsforensic sciencecomputer forensicsiot forensicsforensic searchtowards internetdigital forensicsforensics analysisiot systeminternet of things

Automatic Equivalent Mutants Classification Using Abstract Syntax Tree Neural Networks. (2021)

code generationsoftware analysiscode representationcomputational linguisticsgeneticsgenetic programmingprogram analysisgrammar inductioncomputer sciencemutation-based testingsoftware testing

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10 / page