N. Subbulakshmi

Kalasalingam Academy of Research and Education

Papers

Total Citations

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About

Dr. N. Subbulakshmi is a rising researcher at the intersection of artificial intelligence, computer vision, and affective computing. Her work focuses on developing intelligent systems that can perceive and respond to human emotional states, as well as advancing object detection methodologies. Her most impactful contribution, the 2024 paper "AI based Emotion Aware Music Composition using Spotify App," has already garnered 11 citations, demonstrating significant early interest in her novel approach to using facial expression analysis for real-time, adaptive music generation. This work bridges machine learning and human-computer interaction, proposing systems that infer mood from live video to curate personalized audio experiences. Additionally, her research on "Object Localization Using Deep Neural Network with Pytorch" contributes to foundational computer vision tasks critical for robotics and medical imaging, evaluating techniques like bounding box regression. While early in her career, Dr. Subbulakshmi’s work is notable for its creative application of deep learning to emotion-aware technology, positioning her as an emerging voice in building more empathetic and context-aware AI systems.