Md. Zahidur Rahman

Papers

Total Citations

H-Index

About

Md. Zahidur Rahman is a researcher specializing in human-robot interaction and computational attention modeling. His work centers on developing algorithms that enable robots to interpret and respond to human visual focus, a critical component for intuitive and safe collaborative robotics. His most-cited paper, "How Can a Robot Calculate the Level of Visual Focus of Human’s Attention" (2020), has garnered 16 citations, establishing a foundation for quantifying gaze-based cues in real-time. This contribution addresses the challenge of robots understanding when a human is engaged or distracted, directly impacting fields like assistive technology, autonomous driving, and manufacturing. Rahman’s research bridges cognitive science and computer vision, offering practical frameworks for machines to infer human intent through non-verbal signals. By tackling the "what" and "how" of attention estimation, his work has been recognized for its potential to enhance human-robot trust and efficiency. As a rising voice in interactive AI, Rahman continues to explore how perceptual models can make robots more socially aware and responsive.