Saransh Ahuja

Papers

Total Citations

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About

Saransh Ahuja is a researcher at the forefront of affective computing and human-robot interaction, with a particular focus on making social companion robots more emotionally intelligent. His most-cited work, "Affective Computing for Social Companion Robots Using Fine-grained Speech Emotion Recognition" (2023, 9 citations), introduces a novel approach to speech emotion recognition using state-of-the-art deep learning models. By enabling robots to detect subtle, fine-grained emotional cues in human speech, Ahuja’s research directly addresses a critical bottleneck in creating truly engaging and meaningful human-robot interactions. This contribution is foundational for the next generation of socially aware robots, which must understand not just words, but the emotional context behind them. Beyond this flagship paper, Ahuja’s work consistently bridges the gap between machine learning and real-world robotic applications, emphasizing the importance of natural, empathetic communication. His research is particularly relevant for students and engineers working on assistive technologies, mental health support systems, and autonomous social agents. With a growing citation footprint and a clear focus on practical, human-centered AI, Ahuja is establishing himself as a key voice in the emerging field of emotionally responsive robotics.