Information Systems researcher. PhD student at the University of North Texas, working on AI governance, trust, and technology adoption.
I study how humans and organizations can trust AI systems, particularly in high-stakes domains like cybersecurity and governance.
As a PhD student at UNT, I work with Dr. Dan J. Kim on trust and security, with Dr. Justin Ku on open-set recognition, with Dr. Anna Sidorova on agentic AI delegation, and with Dr. Hoon Choi on social media analytics.
My path to academia was not typical. I spent over a decade building technology businesses, including Rasa, a digital marketing platform I founded that became one of the largest in the Middle East. Since starting my PhD, I built RaSEC, a free security platform for students and researchers.
I led 100+ projects, built teams, and taught digital marketing to MBA students. This experience shapes how I think about research: ideas that actually work in organizations.
How humans and AI systems allocate task authority to one another. Bidirectional delegation, authority calibration, and maintaining appropriate control in collaborative tasks.
When should humans trust AI? How does confidence feedback shape trust calibration in cybersecurity and decision-making?
Teaching AI to recognize attack patterns it has never seen, using Extreme Value Machines for novel threat detection in IoT and IS security.
How organizations govern AI systems. Who is accountable when things fail, and how governance structures need to adapt.
Why people disclose data in some contexts but not others. The privacy calculus, context-dependence, and the boundary between perceived benefit and risk.
How organizations adopt and integrate new information systems. Grounded in classic IS theory with attention to real-world adoption patterns.
The AI conversation has moved beyond models and tools.
Integration matters more than adoption. Decision quality over prediction accuracy. Security and privacy at the center, not the edges. And collective intelligence: not humans versus AI, but organizations working with AI to make better decisions together.
Open to research collaboration, conference discussions, and conversations about AI governance and IS theory.