Simindokht Jahangard

Australian Regenerative Medicine Institute, Monash University

Papers

Total Citations

H-Index

About

Simindokht Jahangard is a rising researcher at the intersection of computer vision and robotics, with a sharp focus on decoding the complexities of human social behavior. Her work is distinguished by a holistic approach that moves beyond individual action recognition to analyze intra-group dynamics and the context of social interactions. Jahangard’s major contributions include the development of the **JRDB-Social dataset**, a multifaceted resource designed to enable a comprehensive understanding of human social groups, which has already garnered 10 citations since its 2024 release. She has also pioneered **real-time trajectory-based social group detection**, achieving 9 citations for her 2023 paper that advances robot navigation and human-robot interaction by leveraging F-formation and trajectory similarity frameworks. Her research is notable for its practical impact on enabling robots to perceive and navigate social spaces intelligently. As a key contributor to the JRDB benchmark, Jahangard is shaping the future of socially-aware robotics, making her a compelling figure for students and researchers interested in the nuanced interplay between autonomous systems and human social structures.