Perception &
Understanding
How machines observe, structure, and reason about human–object interactions across time and modalities.
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Hello! I am a final-year PhD student at the Convergence Design Lab, advised by Prof. Karthik Ramani.
My research lies at the intersection of Computer Vision, Generative AI, and Human-AI Interaction. I build physically intelligent systems that understand human intent and generate actionable guidance in the real world.
Bridging the gap between machine perception and human interaction.
How machines observe, structure, and reason about human–object interactions across time and modalities.
View Projects →Translating machine understanding into interactive systems, guidance, and generative 3D experiences.
View Projects →Grounding perception and generation in physics, object dynamics, and real-world constraints.
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Towards Authoring Context-aware Augmented Reality Instruction through Generative AI. We enable systems to generate adaptive instructions based on the user's environment.
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Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality. Visualizing stroke dynamics directly on the user to improve motor skills.
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A novel dataset of Object-Object Interactions (OOI). Focusing on the physical dynamics between objects themselves to enable richer scene understanding.
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