PhD Student in Information Systems
University of North Texas
I study how humans and organizations can trust AI systems, especially in high-stakes domains like cybersecurity.
As a PhD student at UNT, I am fortunate to collaborate with an amazing group of researchers. I explore trust and security with Dr. Dan J. Kim, open-set recognition methods with Dr. Justin Ku, agentic AI delegation with Dr. Anna Sidorova, and social media analytics with Dr. Hoon Choi.
My path to academia was not typical. I spent over a decade building technology businesses, including Rasa, a digital marketing platform I founded 10 years ago that became one of the largest in the Middle East. Since starting my PhD, I also built RaSEC, a free security platform for students and researchers. I led 100+ projects, built teams of 20+ people, and taught digital marketing to MBA students. This hands-on experience shapes how I think about research: I care about ideas that actually work.
Teaching AI to spot attacks it's never seen before, because hackers don't stick to the training data.
When should people trust AI? How do humans and AI work together to make better decisions?
Understanding AI that acts on its own, and how to keep it aligned with what we actually want.
Cybersecurity, privacy protection, and keeping systems safe from evolving digital threats.
How organizations adopt and integrate Information Systems and new technologies into their workflows.
Using Extreme Value Machines and deep learning for open-set recognition and novel threat detection.
International Conference on Information Systems (ICIS), 2025
Annual Security Conference, 2025
International Conference on Entrepreneurship for Sustainability & Impact, 2025
Decision Sciences Institute (DSI), 2025
arXiv preprint arXiv:2504.14053, 2025
I'm always happy to chat about research, collaboration, or just to say hi.
The AI conversation has moved beyond models and tools. We're asking different questions now.
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 groups working with AI to make better decisions together.