Sina Mohseni

Babol Noshirvani University of Technology

Papers

Total Citations

H-Index

About

Sina Mohseni is a researcher whose work lies at the intersection of computer vision and social signal processing, with a primary focus on automatic facial expression recognition. His research addresses one of the most challenging problems in intelligent systems: enabling machines to understand and interpret human emotions. Mohseni’s major contributions include the development of an anatomy-based facial graph for expression analysis, a novel approach that enhances the accuracy and robustness of emotion detection in human-computer interactions, social robotics, and interactive multimedia. His most-cited paper, "Facial Expression Recognition Using Anatomy Based Facial Graph" (2014), has garnered 18 citations, reflecting its foundational impact on the field. This work, along with his subsequent study on facial graph methods (2015), demonstrates his commitment to improving behavior monitoring systems. Mohseni’s research is particularly notable for its potential applications in creating more empathetic and responsive social robots, as well as advancing interactive multimedia technologies. His contributions continue to influence the development of intelligent systems that can seamlessly interpret human emotional cues.