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About

Maher Ben Moussa is a researcher whose work spans social robotics, affective computing, and human-robot interaction, with a sustained focus on creating intelligent agents capable of emotionally resonant, human-like engagement. His early contributions explored the theoretical underpinnings of socially responsible agents, integrating psychological models of attachment, emotion, and learning into decision-making frameworks — work that has garnered 20 citations and remains foundational to the field. Ben Moussa has also advanced understanding of nonverbal communication in humanoid systems, examining how facial dynamics and speech shape the perception of emotional expressions in robots. Perhaps his most prominent recent achievement is his involvement in developing Nadine, an intelligent social robot platform powered by large language models, affective modeling, and human-like memory — a system that has already attracted 18 citations since its 2024 publication, reflecting its immediate impact. His earliest work on multimodal dialogue management, bridging virtual humans and skin-based robotic interfaces, demonstrated a long-standing commitment to natural human-machine communication. His most recent research continues this trajectory by investigating conversational and affective predictors of user re-engagement, positioning him as a forward-thinking voice in the design of socially adaptive humanoid robots.