Truong (Jack) Luu, Ph.D., is a tenure-track Assistant Professor in the Department of Information Systems and Analytics at the McCoy College of Business, Texas State University. His research examines how individuals and organizations respond to privacy and cybersecurity threats in an era shaped by AI and machine learning. Its frameworks and predictive models strengthen privacy and security in AI/ML and blockchain applications and support ethical adoption in sectors such as healthcare and fintech. This work has appeared in leading Information Systems and business journals, including Information Systems Research, Journal of Management Information Systems, Computers in Human Behavior, and Personality and Individual Differences. His Ph.D. dissertation at the University of Cincinnati was advised by Andrew Harrison and Binny Samuel.

Honors include UC's Digital Futures Fellowship for three consecutive years (4–6 awarded university-wide annually), the Dean's Dissertation Completion Fellowship (9 awarded university-wide annually), and the Carl H. Lindner Outstanding Doctoral Student Research Award (1 awarded college-wide annually); research awards and grants total over $130,000.

In the classroom, he enjoys teaching technical courses in generative AI for business, full-stack web development, system analysis and design, and information systems security.

In service to the field, he reviews for leading IS journals, including Information Systems Research and the Journal of Management Information Systems, and developed and maintains AI Sec Watch, an open-access AI security monitoring tool for tracking LLM vulnerabilities, privacy incidents, and policy changes, with over 8,000 monthly users (Google Analytics, September 2026).