Research Interest
My research focuses on machine learning, audio signal processing, and music information retrieval, with a particular emphasis on multimodal representation learning. I work on learning methods for audio and movement data, especially the synchronization of music and motion capture signals. Broadly, I am interested in how computational models can represent, align, and interpret complex human-centered data across sound and movement.
Background
I received my Ph.D. in Electronics and Communication Engineering from the National Institute of Technology Silchar, India, where I worked on AI-driven pattern recognition using microwave sensing for human activity recognition and machine health monitoring.
Before joining the University of Oslo, I was a postdoctoral researcher at the Machine Analysis of Data for Human Audition and Visualization (MADHAV) Lab at IIT Kanpur, working on machine learning for audio and music applications. During this period, I contributed to the development and deployment of an audio-based recommendation system for India’s national broadcaster, Prasar Bharati.
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