R Ravi Chappa / research
Postdoctoral Fellow · CHOP / Center for Autism Research

Teaching machines
to read human
behavior.

I’m Naga Venkata Sai "Ravi"teja Chappa — a researcher building computer-vision and multimodal-AI systems that decode group activity, healthcare signals, and social behavior. PhD from the University of Arkansas CVIU Lab, now bringing that work into pediatric autism research at CHOP.

Philadelphia, PA — EST
15 publications — WACV / CVPR / IEEE / Springer
PhD — Arkansas, 2025
Download CV ↗
FIG.01 Ravi Chappa
Naga V.S.R. ChappaResearcher · CHOP
2025
Computer Vision Multimodal Learning Group Activity Recognition Vision-Language Models Healthcare AI Self-Supervised Learning Foundation Models Autism Research Computer Vision Multimodal Learning Group Activity Recognition Vision-Language Models Healthcare AI Self-Supervised Learning Foundation Models Autism Research
§01 · About

A researcher at the intersection of vision, language, and behavior.

As a Research Postdoctoral Fellow in Computational Approaches and Machine Learning at the Center for Autism Research, Children’s Hospital of Philadelphia, I work under Dr. Birkan Tunç on novel computational methods for autism research — translating advances in computer vision into clinical understanding of children.

I completed my PhD in Computer Engineering at the University of Arkansas (Jan 2021 – Feb 2025), advised by Prof. Khoa Luu in the Computer Vision & Image Understanding Lab. My dissertation, “Vision-Based Multimodal Approaches in Human Behavior Analysis,” bridged group activity recognition and healthcare monitoring.

My work spans visual temporal modeling, vision-language models, and foundational models, with publications at WACV, CVPR Workshops, Sensors, and IEEE Access. I previously earned an M.S. from Purdue (2020) and a B.Tech from JNTU-K (2018).

§02 · Publications

Publication so far.

  1. 001

    Micro-DualNet: Dual-Path Spatio-Temporal Network for Micro-Action Recognition

    Naga VS Raviteja Chappa, Evangelos Sariyanidi, Lisa Yankowitz, Gokul Nair, Casey J. Zampella, Robert T. Schultz, Birkan Tunç
    FG 2026 2026 IEEE Int’l Conf. on Automatic Face & Gesture Recognition
  2. 002

    LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition

    Naga Venkata Sai Raviteja Chappa, Khoa Luu
    WACV 2025 2025 IEEE/CVF Winter Conf. on Applications of Computer Vision
  3. 003

    DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention

    Naga Venkata Sai Raviteja Chappa, Matthew Shepard, Connor McCurtain, Charlotte McCormick, Page Daniel Dobbs, Khoa Luu
    arXiv 2025 arXiv preprint
  4. 004

    FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis

    Naga VS Chappa, Page Daniel Dobbs, Bhiksha Raj, Khoa Luu
    Under review · IJCV 2024 Int’l Journal of Computer Vision
  5. 005

    Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media

    Naga Venkata Sai Raviteja Chappa, Charlotte McCormick, Susana Rodriguez Gongora, Page Daniel Dobbs, Khoa Luu
    Under review 2024
  6. 006

    REACT: Recognize Every Action Everywhere All At Once

    Naga VS Chappa, Pha Nguyen, Page Daniel Dobbs, Khoa Luu
    MVA 2024 2024 Springer Machine Vision & Applications Journal
  7. 007

    HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos

    Naga VS Chappa, Pha Nguyen, Thi Hoang Ngan Le, Page Daniel Dobbs, Khoa Luu
    Sensors 2024 2024 MDPI Sensors Journal
  8. 008

    Assessing TikTok Videos Content of Tobacco Usage by Leveraging Deep Learning Methods

    Naga Venkata Sai Raviteja Chappa, Charlotte McCormick, Susana Rodriguez Gongora, Page Daniel Dobbs, Khoa Luu
    GreenTech 2024 2024 IEEE Green Technologies Conference
  9. 009

    SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition

    Naga VS Chappa, Pha Nguyen, Alexander H. Nelson, Han-Seok Seo, Xin Li, Page Daniel Dobbs, Khoa Luu
    IEEE Access 2023 IEEE Access Journal
  10. 010

    SPARTAN: Self-Supervised Spatiotemporal Transformers Approach to Group Activity Recognition

    Naga VS Chappa, Pha Nguyen, Alexander H. Nelson, Han-Seok Seo, Xin Li, Page Daniel Dobbs, Khoa Luu
    CVPR-W 2023 2023 🏆 3rd Place · CVSports CVPR-W
  11. 011

    EqAdap: Equipollent Domain Adaptation Approach to Image Deblurring

    Ibsa Jalata, Naga Venkata Sai Raviteja Chappa, Thanh-Dat Truong, Pierce Helton, Chase Rainwater, Khoa Luu
    IEEE Access 2022 IEEE Access Journal · vol. 10
  12. 012

    OTAdapt: Optimal Transport-based Approach for Unsupervised Domain Adaptation

    Thanh-Dat Truong, Ravi Teja NVS Chappa, Xuan-Bac Nguyen, Ngan Le, Ashley P.G. Dowling, Khoa Luu
    ICPR 2022 2022 26th Int’l Conf. on Pattern Recognition
  13. 013

    Deployment of SE-SqueezeNext on NXP Bluebox 2.0 and NXP i.MX-RT1060 MCU

    Ravi Teja NVS Chappa, Mohamed El-Sharkawy
    MIC 2020 2020 IEEE Midwest Industry Conference
  14. 014

    Squeeze-and-Excitation SqueezeNext: An Efficient DNN for Hardware Deployment

    Ravi Teja NVS Chappa, Mohamed El-Sharkawy
    CCWC 2020 2020 10th Annual Computing & Communication Workshop
  15. 015

    VLSI Implementation of LTSSM

    Ravi Teja NVS Chappa, Bhaskara Rao Jammu, Maheswari Adimulam, Maneesh Ayi
    ICECA 2017 2017 Int’l Conf. on Electronics, Communication & Aerospace Technology
§03 · News

What’s happening.

Feb 19, 2026
Received Eagles Autism Foundation grant funding! 🎉
Mar 11, 2025
Started Postdoc journey at Children’s Hospital of Philadelphia 🚀
Feb 12, 2025
Successfully defended PhD dissertation! 🎉
Oct 18, 2024
Paper accepted at WACV 2025! 🎉
Jul 10, 2023
Paper accepted at ICCV 2023 Workshop!
Mar 12, 2023
Paper accepted at CVPR-W 2023!
Jan 16, 2021
Started PhD journey at University of Arkansas under supervision of Dr. Khoa Luu!
May 4, 2020
Completed M.S. in Computer Engineering from Purdue University.
§04 · Curriculum vitae

A decade of training.

Download full CV (PDF)
Experience
  • 2025 — Now
    Postdoctoral Research Fellow
    Center for Autism Research, Children’s Hospital of Philadelphia
    Computational approaches and machine learning for autism research, with Dr. Birkan Tunç.
  • 2021 — 2025
    Graduate Research Assistant
    CVIU Lab, University of Arkansas
    Vision-based multimodal approaches in human behavior analysis. Advised by Prof. Khoa Luu.
  • 2018 — 2020
    Graduate Researcher
    School of ECE, Purdue University
    Embedded systems and signal processing; ML for vehicular networks.
Education
  • 2025
    PhD, Computer Engineering
    University of Arkansas
    Dissertation: “Vision-Based Multimodal Approaches in Human Behavior Analysis: Bridging Group Activity Recognition and Healthcare Monitoring.”
  • 2020
    M.S., Computer Engineering
    Purdue University
    Concentration in computer vision and embedded ML systems.
  • 2018
    B.Tech, Electronics & Communication
    JNTU-K, India
    Graduated with distinction.
Honors
2026
Eagles Autism Foundation Grant
CHOP
2023
3rd Place — SPARTAN
CVPR-W 2023 · Award PDF
§05 · Contact

Let’s talk.