About

Behnam is an Assistant Professor of Marketing at the University of Texas at Dallas, Jindal School of Management. His main research interest involves studying the behavior of Large Language Models (LLMs) when deployed in business applications, such as content creation and customer simulation. This involves developing methods to interpret LLM outputs, innovating algorithms to enhance AI creativity, and advancing our knowledge of the role of agentic AI in business automation. Behnam also utilizes game theory and other analytical models to study the broader economic implications of human-AI interaction and transparency regulations such as GDPR.