Latha Subramainan
Papers
2
Total Citations
20
H-Index
2
About
Latha Subramainan is a researcher whose work lies at the intersection of affective computing, multi-agent systems, and social simulation. Her primary research areas include emotion modeling in software agents and robotics, as well as norm assimilation in heterogeneous communities. Subramainan’s most cited work, “A Classification of Emotions Study in Software Agent and Robotics Applications Research” (2015, 16 citations), provides a foundational taxonomy of emotional states for artificial agents, demonstrating how emotions influence rational decision-making, learning, and creativity. This contribution has been instrumental in advancing human-robot interaction and emotionally intelligent systems. In her more recent paper, “How New Individuals Behave in a Heterogeneous Community: A Computational Approach to Norm Assimilation Using Agent-Based Systems” (2020, 4 citations), she explores the dynamics of social norm adoption through computational modeling, offering insights into how newcomers integrate into diverse communities. Subramainan’s work bridges psychology and computer science, providing practical frameworks for designing adaptive, socially-aware agents. Her research is particularly relevant for students and scholars interested in affective computing, multi-agent coordination, and the computational study of social behavior.
Research Focus
Key Achievements
Top Papers
- 1
- 2