Rahul Jain headshot

Rahul Jain

PhD Candidate, Computer Engineering — Purdue University
Computer Vision Vision-Language Human-AI Interaction AR/VR Physical AI Gen AI

Hello! I’m a final-year PhD student at Purdue University and a member of the Convergence Design Lab, advised by Prof. Karthik Ramani. My research lies at the intersection of computer vision, machine learning, and human–AI interaction, with a focus on building physically intelligent and human-centered systems.

Research Focus

My research focuses on building physically intelligent systems that understand human interactions, generate actionable guidance, and reason about real-world physical behavior.

Perception & Understanding

How machines observe, structure, and reason about human–object interactions across time and modalities.

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Interaction & Generation

Translating machine understanding into interactive systems, guidance, and generative 3D experiences.

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Physical Reasoning & Modeling

Grounding perception and generation in physics, object dynamics, and real-world constraints.

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News

  • May 2025 Started as a Research Intern at Prime Video & Studios CoreTech (Seattle), working on large multimodal models.
  • Jan 2025 Three papers accepted to CHI 2025.
  • Dec 2024 One paper accepted to IEEE TVCG.
  • Jul 2024 AnnotateXR accepted to JCISE 2024.
  • Jul 2024 AvaTTAR accepted to UIST 2024.
  • Jan 2024 Started a Computer Vision + HCI research internship at Fujitsu Research of America.
  • 2023 Ubi-TOUCH accepted to UIST 2023; Interacting Objects accepted to RA-L 2023 (presented at ICRA 2024).

Selected Publications

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CHI 2025

CARING-AI

CARING-AI: Towards Authoring Context-aware Augmented Reality Instruction through Generative AI.

Jingyu Shi*, Rahul Jain*, Seung-gun Chi, Hyung-jun Doh, Hyung-gun Chi, Alex Quinn, Karthik Ramani

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AnnotateXR thumbnail
JCISE 2024

AnnotateXR

An Extended Reality Workflow for Automating Data Annotation to Support Computer Vision Applications.

Subramanian Chidambaram*, Rahul Jain*, Sai Swarup Reddy, Asim Unmesh, Karthik Ramani

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AvaTTAR thumbnail
UIST 2024

AvaTTAR

Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality.

Dizhi Ma*, Xiyun Hu*, Jingyu Shi, Mayank Patel, Rahul Jain*, Ziyi Liu, Zhengzhe Zhu, Karthik Ramani

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RA-L 2023 / ICRA 2024

Interacting Objects

A dataset of object-object interactions for richer dynamic scene representations.

Asim Unmesh, Rahul Jain*, Jingyu Shi, VK Chaitanya, Hyung-Gun Chi, Subramanian Chidambaram, Alexander Quinn, Karthik Ramani

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Patents

Patent disclosures in progress. Details available upon request.

Academic Service

  • Mentoring: 1 graduate student (Hyungjun Doh).
  • Mentored 2 undergraduate students (Hyungjun Doh, Heesoo Kim).
  • Graduate mentor, Summer Undergraduate Research Fellowship (SURF) [2021, 2023].
  • Reviewer: CHI 2025/2024, IEEE VR 2025/2024, CHI 2024 LBW, CSCW 2024, DIS 2024, RA-L, TVCG.

Contact

© Rahul Jain
Last updated: Jan 2026