Administration
Department of Computer & Cyber Sciences
School of Computer and Cyber Sciences
Department of Computer & Cyber Sciences
Administration
Department of The Graduate School
My teaching interest include both technical and management topics. Courses such as database design, python scripting, data science, and cloud systems are related to my industry/research experience as database and software developer. Topics such as enterprise systems and capstone projects are related to my experience as a data and software architect.
My scholarship centers on advancing understanding of how individuals and organizations make decisions in technology-mediated environments, with a particular emphasis on cybersecurity, digital platforms, and data-driven decision support. Across my work, I integrate behavioral theories with computational methods to examine how people interpret risk, allocate attention, and adapt to evolving information environments. This agenda reflects a commitment to producing theoretically grounded and practically relevant insights that can inform both academic discourse and real-world technology design.
My research program is organized around three interconnected streams:
• Technology-enabled decision making: Investigating how cognitive, social, and contextual factors shape user behavior in digital systems, including cybersecurity compliance, risk perception, and trust formation.
• Human–AI interaction and decision support: Developing and evaluating models that leverage machine learning and natural language processing to support user judgment, reduce cognitive load, and improve decision quality.
• Digital platforms and socio-technical systems: Examining how platform design, information structures, and governance mechanisms influence participation, performance, and collective outcomes [6,19].