Md Tarek Hasan

I am a

Bridging the gap between electrical engineering and advanced network defense. My research focuses on applying machine learning to threat detection, deepfakes, and network privacy.

9 Publications
200+ Citations
MS Cybersecurity (Kean Jersey City University)
  • Base: New Jersey, USA / Dhaka, Bangladesh
Md Tarek Hasan

About Me

My foundational background in electrical engineering provides me with a unique vantage point in cybersecurity, allowing me to analyze vulnerabilities from the underlying infrastructure and signal levels rather than solely at the application layer. Building upon this, I recently earned my MS in Cybersecurity from Kean University, formally transitioning my expertise into advanced network defense and threat intelligence.

With a demonstrated record of 9 publications and over 200 citations, my research agenda is centered on the intersection of machine learning and proactive security—specifically targeting automated threat detection, deepfake mitigation, and resilient network privacy architectures.

My long-term objective is to pursue a Ph.D. and ultimately establish a research laboratory dedicated to AI-driven security. I am deeply committed to bridging the gap between theoretical academic research and practical, deployable solutions for modern security operations.

Recent News & Activities

Latest milestones, publications, and updates from my research journey.

PublicationJan 2026

Published "Perceived Privacy Risks of Passive WiFi-Based Human Sensing" in the American Journal of Data Science and Analytics.

Published "Perceived Privacy Risks of Passive WiFi-Based Human Sensing" in the American Journal of Data Science and Analytics.

#Publication#Research
Academic AchievementFeb 2026

Completed MS in Cybersecurity from Kean Jersey City University.

Completed MS in Cybersecurity from Kean Jersey City University.

#AcademicAchievement#Research
PublicationOct 2025

New preprint: "Machine Learning for Fraud Detection in Digital Banking" — now on arXiv.

New preprint: "Machine Learning for Fraud Detection in Digital Banking" — now on arXiv.

#Publication#Research

Research Focus

Publications

Nine peer-reviewed articles and preprints, 2024–2026.

Research Impact

9Publications
208+Citations
6h-index
5i10-index

Skills & Technologies

Machine LearningDeep LearningLarge Language Models (LLMs)Transformer ArchitecturesMultimodal Data FusionThreat Detection SystemsAdvanced Persistent Threats (APT)Predictive ModelingDeepfake DetectionNetwork Security

Academic Pathway

My formal academic background and qualifications.

Future Aspirations

Key milestones I am actively working toward

Let's Connect

Open to PhD opportunities, research collaborations, and conversations about AI-driven security.