Mohammad Ibrahim Khan

Chittagong University of Engineering & Technology

Papers

Total Citations

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About

Mohammad Ibrahim Khan is a researcher at the forefront of human-robot interaction, with a specialized focus on enabling machines to read and respond to human emotions. His work centers on the critical challenge of facial expression recognition, a cornerstone for creating intuitive and empathetic robotic interfaces. Khan’s major contribution lies in his pioneering use of Bézier curves to mathematically model and approximate dynamic facial features—particularly the eyes and lips. This innovative approach allows for the precise mapping of feature motion to changes in expression, bridging the gap between raw visual data and emotional interpretation. His foundational 2009 paper, "Facial Expression Recognition for Human-Robot Interface," which has garnered 12 citations, establishes the core methodology for this feature extraction and approximation technique. This work is complemented by his 2010 study, which refines the system using third-order Bézier curves to enhance detection accuracy. By providing a robust, geometry-based framework for expression analysis, Khan has laid essential groundwork for more responsive and socially aware robotic systems, directly impacting the development of assistive technologies and collaborative robots.