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.
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.
Completed MS in Cybersecurity from Kean Jersey City University.
Completed MS in Cybersecurity from Kean Jersey City University.
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.
Research Focus
Publications
Nine peer-reviewed articles and preprints, 2024–2026.
Perceived Privacy Risks of Passive WiFi-Based Human Sensing Technologies: A Quantitative Study
Machine Learning for Fraud Detection in Digital Banking: A Systematic Literature Review
Multimodal Deepfake Detection Using Transformer-Based Large Language Models: A Path Toward Secure Media and Clinical Integrity
Research
Impact
Skills &
Technologies
Academic Pathway
My formal academic background and qualifications.

MS in Cybersecurity
BSc in Electrical & Electronic Engineering

Higher Secondary Certificate (HSC)

Secondary School Certificate (SSC)
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.

