IEEE & Springer Published Researcher
AI cybersecurity researcher specializing in post-quantum cryptography, zero-trust security, and privacy-preserving AI for healthcare systems. Published in IEEE conferences and Springer Nature, addressing Executive Order 14028 zero-trust mandates.
MBA in IT Project Management (STEM) professional with 7+ years of experience in pioneering research and practical application of AI-driven project management, zero-trust cybersecurity frameworks, and privacy-preserving healthcare systems. Currently serving as Business Analyst at Tek Intelligent, contributing expertise to IT infrastructure modernization and digital transformation initiatives.
My research addresses critical challenges in cybersecurity resilience, healthcare modernization, and AI-driven infrastructure optimization. Through 20+ peer-reviewed publications (250 citations, h-index 10), I have contributed novel frameworks in zero-trust security architectures, privacy-preserving federated learning for healthcare systems, and AI-augmented risk intelligence—all domains essential to technological leadership and cybersecurity advancement in an increasingly digital world.
My work focuses on addressing the security challenges outlined in Executive Order 14028, particularly post-quantum cryptography readiness and zero-trust architecture implementation. As a verified peer reviewer for IEEE Access (Web of Science tracked, 22 completed reviews), I actively contribute to advancing the field through rigorous evaluation of cutting-edge cybersecurity research.
I have been recognized through competitive grants totaling $23,700, IEEE conference presentations, and thought leadership in fields critical to the future of secure, privacy-preserving AI systems. My goal is to continue bridging academic research and real-world IT project delivery, strengthening digital infrastructure security while advancing the state of the art in AI cybersecurity.
Expert Recognition
Research Output
Full publication list: Google Scholar Profile
Professional Background
Academic Background
Recognition
Total competitive research funding: $23,700
Editorial Leadership
Actively contributing to the scientific community through peer review, editorial board applications, and educational initiatives in AI cybersecurity and digital health. These activities reflect a commitment to advancing the quality and accessibility of research in fields critical to national infrastructure and healthcare security.
Get in Touch
Open to collaborations in AI cybersecurity research, editorial board opportunities, guest editing, and consulting on zero-trust architecture, post-quantum cryptography, and privacy-preserving AI for healthcare systems.