2026·Journal
First AuthorPerceived Privacy Risks of Passive WiFi-Based Human Sensing Technologies: A Quantitative Study
Md Tarek Hasan, Md Zahin Hossain George
#IEEE 802.11bf#Channel State Information#Privacy#Quantitative Methods#n=134
0 citations
About Me
My background is in electrical engineering, which is a slightly odd route into security, but it means I tend to look at problems from the signal and infrastructure level rather than only the application layer. I recently completed my MS in Cybersecurity from Kean Jersey City University, where I fully transitioned into advanced network defense and threat detection.
With 9 publications and 200+ citations, my research focuses on applying machine learning to threat detection, deepfakes, and network privacy.
What I want to do next is a PhD, and eventually run a research lab focused on AI-driven security — one that actually connects research with what security teams deploy.
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.
2025·Preprint
Machine Learning for Fraud Detection in Digital Banking: A Systematic Literature Review
Md Zahin Hossain George, Md Khorshed Alam, Md Tarek Hasan
118 studies synthesized#PRISMA#Systematic Review#Fraud Detection
25 citations
2025·Journal
Multimodal Deepfake Detection Using Transformer-Based Large Language Models: A Path Toward Secure Media and Clinical Integrity
Kutub Thakur, Md Abu Sayed, Sanjida Akter Tisha, Md Khorshed Alam, Md Tarek Hasan, Jannatul Ferdous Shorna, Sadia Afrin, Md Zahin Hossain George, Eftekhar Hossain Ayon
#Transformers#LLMs#Multimodal#Deepfake Detection
8 citations
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.
MS in Cybersecurity
Kean Jersey City University
Feb 2026Jersey City, New Jersey, USA
BSc in Electrical & Electronic Engineering
Daffodil International University
2019Dhaka, Bangladesh
Higher Secondary Certificate (HSC)
Thakurgaon Govt. College
2013Thakurgaon, Bangladesh
Secondary School Certificate (SSC)
Sugar Mill High School
2011Thakurgaon, Bangladesh
Future Aspirations
Key milestones I am actively working toward
Research Excellence
Become a renowned researcher in the fields of Cybersecurity, AI, and Machine Learning.
Cutting-Edge Contribution
Contribute to cutting-edge research in Autonomous Systems and Network Security.
Lab Establishment
Complete PhD and establish a research lab focused on AI-driven security solutions.
Academic Mentorship
Enter the teaching profession to inspire and mentor the next generation of technologists.
Industry Translation
Bridge the gap between academia and industry by developing real-world AI applications.
Let's Connect
Open to PhD opportunities, research collaborations, and conversations about AI-driven security.