Reza Ahmadzadeh

Georgia Institute of Technology, University of Massachusetts Lowell

Papers

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About

Reza Ahmadzadeh is a roboticist whose research sits at the intersection of human-robot interaction, trust modeling, and naturalistic behavior generation. His work addresses a fundamental challenge in robotics: how to make machines not just functional, but socially intuitive. In his widely cited 2017 paper, "Naturalistic Conversational Gaze Control for Humanoid Robots - A First Step," Ahmadzadeh pioneered methods for enabling humanoid robots to exhibit human-like gaze patterns during conversation, a critical component for building rapport and perceived intelligence. He further advanced the field with his 2020 survey, "Modeling Trust in Human-Robot Interaction: A Survey," which systematically mapped the landscape of computational trust models, providing a foundational resource for researchers designing autonomous systems that must earn and maintain human confidence. Though early in his career, Ahmadzadeh’s contributions are already shaping how robots perceive and respond to social cues, laying the groundwork for more seamless, trustworthy human-robot collaboration in domains ranging from assistive technology to collaborative manufacturing.