Nandita Gopal

Sri Sivasubramaniya Nadar College of Engineering

Papers

Total Citations

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About

Nandita Gopal is a researcher at the forefront of affective computing, specializing in multimodal emotion recognition and its applications in human-robot and human-computer interaction. Her work focuses on developing machine learning frameworks that interpret emotional cues from multiple channels—such as facial expressions, speech, and physiological signals—to create more intuitive and responsive intelligent systems. Her most cited paper, "Bimodal Emotion Recognition using Machine Learning" (2021, 3 citations), lays foundational groundwork for integrating two complementary modalities to improve the accuracy and robustness of emotion detection in real-world settings. This research has direct implications for enhancing user experience in assistive robotics, mental health monitoring, and adaptive interfaces. Gopal’s contributions are particularly notable for bridging the gap between raw emotional data and actionable system responses, addressing a critical challenge in creating machines that can genuinely understand human affect. Her work continues to shape how researchers approach the complex interplay of emotion, cognition, and technology, making her a rising voice in the field of human-centered AI.