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Halil Ibrahim Dursunoglu

Faculty Specialist, Computer Science & Cybersecurity
Western Michigan University

Hello, I’m Halil Ibrahim Dursunoglu, a Faculty Specialist in Computer Science and Cybersecurity at Western Michigan University, specializing in applied cybersecurity, AI security, secure software engineering, and resilient digital systems.

My research focuses on the security implications of emerging artificial intelligence technologies, particularly AI-assisted software development, vulnerability detection, security drift in AI-generated code, deepfake detection, and digital media authenticity. I investigate how AI-driven systems introduce new security challenges and develop practical approaches to improving software reliability, strengthening digital trust, and securing increasingly automated environments.

Drawing on experience in academia and the software industry, I bridge cybersecurity research with real-world applications through research, teaching, industry engagement, and student mentorship. I actively contribute to the cybersecurity community as an Editor for Cyber Serum Journal, a peer reviewer for IEEE Access, IEEE Transactions on Multimedia, Journal of Computer Science, JOSS, and JORS, and a Technical Program Committee member for CSTA 2026.

Beyond academic research, I share my expertise through professional cybersecurity conferences, including BSides Bloomington, BSides Peoria, and the BrightTALK Intelligent Network Summit, as well as expert commentary featured by RSA Conference (RSAC), Cybernews, Tech Times UK, and Video Librarian.

My overarching goal is to advance secure, trustworthy, and resilient AI-enabled technologies through applied research, interdisciplinary collaboration, and practical cybersecurity solutions.

Research Interests

My research focuses on applied cybersecurity, artificial intelligence security, secure software engineering, and secure systems design. I am particularly interested in deepfake detection, AI-driven security challenges, software vulnerability analysis, and the protection of digital trust in modern computing environments. My work aims to bridge academic research with practical cybersecurity solutions that improve the security, resilience, and trustworthiness of digital systems.

Conference Speaking & Invited Presentations

I actively contribute to the cybersecurity research and professional community through conference presentations, invited speaking engagements, and technical discussions. My presentations focus on AI-assisted software security, security drift, secure systems engineering, and emerging cybersecurity challenges associated with increasingly autonomous technologies.

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 AI-driven network automation can introduce cumulative security risks through incremental changes to network configurations, permissions, segmentation, and access controls. The session explores continuous security validation, governance, and approaches to maintaining secure automated infrastructure.

BSides Bloomington 2026 — Conference Speaker

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

A technical presentation addressing security challenges in AI-assisted software development, including vulnerability propagation, security drift across iterative code modifications, and approaches to maintaining developer oversight and secure coding practices.

BSides Peoria 2026 — Conference Speaker

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

A technical presentation exploring how security vulnerabilities can emerge, persist, and accumulate throughout iterative AI-assisted software development. The session examines security drift in LLM-generated code, the limitations of evaluating security only at initial code generation, and the importance of continuous vulnerability assessment, secure coding practices, and security validation throughout the software development lifecycle.

Sixth Intelligent Cybersecurity Conference (ICSC 2026) — Research Presenter

SecurePromptBench: Benchmarking Security Retention in Iterative AI-Assisted Software Development

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

Media Recognition & Expert Commentary

My expertise in applied cybersecurity, artificial intelligence security, deepfake detection, and digital trust has been featured in professional and technology media, including RSA Conference (RSAC), Cybernews, Tech Times UK, and Video Librarian.

I contributed expert perspectives to the RSA Conference article “Closing the Door on AI Impersonation with Synchronization Scoring,” discussing AI-generated impersonation threats, audio-visual synchronization techniques, and approaches to strengthening digital trust and media authenticity.

My additional media contributions address digital privacy, the security implications of artificial intelligence, AI-driven persuasion risks, and the challenges of identifying AI-generated media. Through these engagements, I aim to make emerging cybersecurity research and technical challenges accessible to broader professional, educational, and public audiences.

Reviewer Roles

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

My scholarly expertise focuses on applied cybersecurity, AI-assisted software development security, software vulnerability detection, secure coding practices, and AI-generated media security, including deepfake detection, multimedia authenticity, and audio-visual synchronization. My research interests further encompass large language model (LLM) security, vulnerability propagation in AI-generated code, security drift in automated infrastructure, static and dynamic program analysis, and secure systems architecture.

Through my editorial, peer-review, and technical committee activities, I contribute to the evaluation of research quality, methodological rigor, experimental validation, reproducibility, and practical security implications across cybersecurity, artificial intelligence, and software engineering.

Selected Publications

Hybrid Classification for Complex and Composite Activity Recognition in Multi-User Environments
IEEE Sensor Journal, 2026

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

Audio-Visual Synchronization Analysis for Deepfake Detection: A Comprehensive Review
International Journal of Computer Techniques (IJCT), 2026

Human Activity Monitoring with Wearable Sensor and Hybrid Classifiers
International Journal of Computer Information Systems and Industrial Management, 2013

SEMA-GUARD: Semantic and Graph-Based Vulnerability Detection in Assembly Code
Preprint, arXiv, 2026

Security Weaknesses in LLM-Generated Source Code: An Empirical Vulnerability Analysis of Iterative AI-Assisted Development
Preprint, SSRN, 2026