Amine Bohi

About

Amine Bohi is an emerging researcher working at the intersection of affective computing, computer vision, and human-robot interaction. His most notable work focuses on advancing the ability of robotic systems to perceive and respond to human emotional states in real-world, dynamic environments. In his highly regarded 2025 paper, "Multi-Face Emotion Detection for Effective Human-Robot Interaction," Bohi tackles one of the field's persistent challenges: enabling robots to simultaneously detect and interpret emotions across multiple faces in a scene, a capability critical for deploying social robots in group settings such as classrooms, healthcare environments, and public spaces. This contribution, which has already garnered 6 citations shortly after publication, signals growing interest from the international research community in his approach. By bridging advances in deep learning-based facial analysis with practical robotics applications, Bohi's work pushes the boundary of how machines understand human affect. As social robotics and human-centered AI continue to expand rapidly, his research positions him as a promising voice shaping how future robotic systems will interact with and respond empathetically to the people around them.

Research Focus

Key Achievements

Top Papers

1. 1
   Multi-Face Emotion Detection for Effective Human-Robot Interaction

   6 citations · 2025

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