Halil Ibrahim Dursunoglu

Applied Cybersecurity & AI Security Researcher | Secure Software Engineering | Deepfake Detection & Digital Trust | Western Michigan University

About Halil Ibrahim Dursunoglu

Faculty Specialist in Computer Science & Cybersecurity | Western Michigan University

Applied Cybersecurity | AI Security | Secure Software Engineering | Digital Trust

Professional Biography

I am Halil Ibrahim Dursunoglu, a Faculty Specialist in Computer Science and Cybersecurity at Western Michigan University (WMU), where I contribute to undergraduate education, curriculum development, student mentorship, and applied research in computer science and cybersecurity.

My professional background combines academic teaching and research with industry experience in software engineering and technical leadership. My work focuses on applied cybersecurity, artificial intelligence security, secure software development, and trustworthy digital systems, with particular interests in AI-assisted software security, software vulnerability analysis, deepfake detection, and the security of increasingly automated technologies.

A central objective of my research is to understand how emerging technologies introduce security challenges and develop practical approaches for identifying, measuring, and mitigating those risks. I am particularly interested in how vulnerabilities evolve throughout iterative AI-assisted software development, how AI-generated media affects digital trust, and how secure systems can maintain their intended security properties over time.

I aim to bridge academic research with practical cybersecurity applications through empirical investigation, software development, interdisciplinary collaboration, and engagement with the broader technology community.

Academic Background & Professional Experience

I earned my Master of Science in Computer Science from Western Michigan University in 2015.

Before entering my current academic role, I gained professional experience in software engineering, application development, and technical leadership, including positions as a Chief Technology Officer at GrakGrak and Senior Software Engineer at Dustas.

This industry background informs my research and teaching approach, particularly my emphasis on secure software development, practical implementation, system reliability, and the real-world consequences of software vulnerabilities.

At Western Michigan University, my academic responsibilities include teaching programming, computer systems, and cybersecurity-related courses, developing hands-on learning activities, and supporting students through applied software engineering and cybersecurity projects.

Research & Scholarly Contributions

My research examines the security, reliability, and trustworthiness of modern software and AI-enabled systems.

My principal research areas include:

  • AI-Assisted Software Security: Vulnerability evolution in LLM-generated code, iterative prompt refinement, security drift, and continuous security validation.
  • Software Vulnerability Detection: Semantic program analysis, graph-based vulnerability detection, assembly-level security analysis, and secure coding practices.
  • Deepfake Detection & Digital Trust: Audio-visual synchronization, AI-generated impersonation, multimedia authenticity, and media forensics.
  • Trustworthy AI Systems: Evidence-grounded question answering, retrieval-augmented generation, citation validation, and AI reliability.
  • Secure Systems & Automated Infrastructure: AI-driven network automation, security policy validation, configuration security, and longitudinal security assessment.

My research contributions include peer-reviewed journal articles, accepted conference research, and publicly available preprints.

My recent work includes an accepted article in IEEE Sensors Journal, a research presentation at the Sixth Intelligent Cybersecurity Conference (ICSC 2026), and studies examining security drift in AI-assisted software development, vulnerability detection in assembly code, deepfake detection, and evidence-grounded AI systems.

I support reproducible research by making selected manuscripts, experimental implementations, and research artifacts available through public repositories.

Explore My Research

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Editorial & Scholarly Service

I contribute to the academic research community through editorial responsibilities, peer reviewing, and technical program committee service.

I serve as an Editor for Cyber Serum Journal and as a peer reviewer for IEEE Access, IEEE Transactions on Multimedia, Journal of Computer Science, Journal of Open Source Software (JOSS), and Journal of Open Research Software (JORS).

I also serve as a Technical Program Committee (TPC) member for the International Conference on Cybersecurity Systems, Technologies and Applications (CSTA 2026).

My scholarly service focuses on evaluating research quality, methodological rigor, technical implementation, experimental validation, reproducibility, and the practical implications of emerging technologies.

Conference Speaking & Professional Engagement

I actively engage with the cybersecurity research and professional communities through conference presentations, technical discussions, and invited speaking engagements.

Selected presentations include:

BSides Bloomington 2026
Insert Prompt to Opt Out: Reclaiming Security Control from AI-Generated Code

A presentation examining security challenges associated with AI-generated software and the importance of maintaining developer oversight throughout AI-assisted development.

BSides Peoria 2026
Security Drift: How AI-Generated Code Gets More Vulnerable Over Time

A presentation addressing vulnerability accumulation, security drift, and longitudinal security assessment in iterative AI-assisted software development.

Presentation Details

BrightTALK Intelligent Network Summit — November 18, 2026 (Upcoming)
When AI Takes Control of the Network: Preventing Security Drift in Automated Infrastructure

An invited presentation examining how incremental AI-driven network changes can introduce cumulative security risks and how continuous validation and governance can help maintain secure infrastructure.

Sixth Intelligent Cybersecurity Conference (ICSC 2026)
SecurePromptBench: Benchmarking Security Retention in Iterative AI-Assisted Software Development

A research presentation investigating security retention and vulnerability behavior across iterative AI-assisted software development workflows.

These activities reflect my commitment to communicating cybersecurity research to academic, industry, and professional audiences.

Media Recognition & Expert Commentary

My expertise in cybersecurity, AI security, deepfake detection, and digital trust has been featured through expert contributions to professional and technology media.

I contributed expert commentary to RSA Conference (RSAC) for the article Closing the Door on AI Impersonation with Synchronization Scoring, discussing AI-generated impersonation threats and synchronization-based approaches to improving digital trust.

My additional contributions include expert commentary featured by:

Cybernews — Digital privacy, Wi-Fi networks, and internet search history.

Read Article

Tech Times UK — AI persuasion, potential misuse, and emerging security concerns.

Read Article

Video Librarian — AI-generated media, digital literacy, and helping students evaluate synthetic content.

Read Article

Through these engagements, I seek to make emerging cybersecurity research and technical challenges accessible to broader audiences.

Teaching, Mentorship & Cybersecurity Education

At Western Michigan University, I contribute to computer science and cybersecurity education through classroom instruction, curriculum development, experiential learning, and student mentorship.

My teaching activities cover programming, computer organization and assembly language, secure software development, and foundational cybersecurity concepts.

I emphasize hands-on learning through practical programming exercises, security-focused laboratories, technical problem-solving, and applied projects.

I have also contributed to curriculum redesign and advised students undertaking independent research, honors theses, and software development projects.

My educational approach emphasizes the relationship between fundamental computer science knowledge, secure engineering practices, and the ability to address real-world cybersecurity challenges.

Professional Memberships

I maintain professional memberships in the following organizations:

  • Institute of Electrical and Electronics Engineers (IEEE)
  • Association for Computing Machinery (ACM)
  • ACM Special Interest Group on Security, Audit and Control (SIGSAC)

These memberships support my continued engagement with developments in computing, cybersecurity, software engineering, and academic research.

Professional Mission

My long-term goal is to advance the security and trustworthiness of AI-enabled technologies and complex digital systems.

I am particularly interested in research that moves beyond identifying isolated vulnerabilities toward understanding how security risks evolve across software development lifecycles, automated decision-making processes, and interconnected computing environments.

Through applied cybersecurity research, interdisciplinary collaboration, academic engagement, and practical experimentation, I seek to contribute methods and technologies that strengthen software reliability, improve digital trust, and support more resilient digital infrastructure.

Academic Profiles & Research Resources

Google Scholar — Scholarly publications and citations

ORCID — Academic researcher profile

GitHub — Research software and technical projects

ResearchGate — Research publications and academic networking

Publications — Journal articles, conference papers, and preprints

Research — Current research directions and projects