S. M. Mahbubur Rahman

Bangladesh University of Engineering and Technology

Papers

Total Citations

H-Index

About

S. M. Mahbubur Rahman is a researcher whose work sits at the intersection of robotics, human-computer interaction, and affective computing. His primary research focus is on developing systems that enable robots to perceive and replicate human emotional expressions, bridging the gap between human non-verbal communication and robotic interfaces. His most cited work, "Roboticon: A realistic platform to imitate facial expressions" (2016), introduces a novel framework that detects human facial expressions with high accuracy and translates them into real-time robotic mimics. This contribution addresses a critical limitation in remote communication—ensuring that the sender’s emotional state is faithfully conveyed through a robotic avatar, rather than being lost or distorted. While his citation count is modest, Rahman’s work is notable for its practical approach to enhancing telepresence and social robotics. By tackling the challenge of expression imitation, he lays groundwork for more empathetic and responsive robotic systems, with potential applications in telemedicine, education, and remote collaboration. His research invites further exploration into how machines can become more attuned to human emotional cues.