Aviral Chharia

Aviral Chharia

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Contact:
chharia AT cmu DOT edu

About Me

I am a first-year PhD student at Carnegie Mellon University. I completed my M.S. degree from CMU in 2024. Previously, I obtained my B.E. in 2022 from Thapar Institute of Engineering & Technology, advised by Prof. Rahul Upadhyay, and Prof. Vinay Kumar. I also spent a year as a MITACS Fellow at The University of British Columbia, working with Prof. Apurva Narayan and as an Research Assistant with Prof. Min Xu. I focus on 3D Computer Vision, Digital Humans and 2D/ 3D Scene Understanding (perception, reconstruction & simulation). My research is motivated by applications in healthcare and AR/VR.

Looking for self-motivated undergrads/ grad students for collaborations. Feel free to send me an email!

News and Updates

  • Feb 2025: One paper accepted to CVPR, 2025!
  • Sep 2024: I started my PhD at Carnegie Mellon University!
  • Aug 2024: One paper accepted to NeurIPS, 2024
  • Jun 2023: One paper accepted to IJCNN, 2023
  • Feb 2023: Two papers accepted to IEEE Transactions on Neural Systems & Rehabilitation Engg

    • Publications

    3D Computer Vision and Digital Humans

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    MV-SSM: Multi-View State Space Modeling for 3D Human Pose Estimation
    A. Chharia, W. Gou, H. Dong
    CVPR, 2025
    [PDF] [Web] TechXplore

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    Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
    H. Dong*, A. Chharia*, W. Gou*, F. Vicente Carrasco
    NeurIPS, 2024
    [PDF] [Web] [Code] TechXplore
    Ranked #1 on 2 Competition Leaderboards!

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    Human-VDM: Learning Single-Image 3D Human Gaussian Splatting from Video Diffusion Models
    Z. Liu, H. Dong, A. Chharia, H. Wu
    ArXiv, 2024
    [PDF] [Web] [Code]

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    Safe-Construct: Redefining Construction Safety Violation Recognition as 3D Multi-View Engagement Task
    A. Chharia, T. Ren, T. Furuhata, K. Shimada
    CVPR Affective & Behavior Analysis in-the-wild, 2025
    [PDF] [Web] TechXplore CMU News

    AI for Medical Imaging and Bioinformatics

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    cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing in Silico Aptamer-Target Protein Interactions
    A. Chharia, R. Saran, A. Narayan
    International Joint Conference on Neural Networks (IJCNN), 2023
    [PDF] [Web]

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    Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network
    A. Chharia, R. Upadhyay, V. Kumar, C. Cheng, J. Zhang, T. Wang, M. Xu
    IEEE Access, 2022
    [PDF] [Web] [NeurIPS] Mark Foundation Q1 Flagship
    Oral at NeurIPS 2021 ML in Public Health!

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    Accuracy of US CDC COVID-19 Forecasting Models
    A. Chharia*, G. Jeevan*, R. A. Jha*, M. Liu*, J. Berman, C. Glorioso
    Frontiers in Public Health, 2022
    [PDF] News-medical MedicalXpress Q1

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    A novel fuzzy approach to Antimicrobial Peptide Activity Prediction: A tale of limited & imbalanced data
    A. Chharia, R. Upadhyay, V. Kumar
    NeurIPS AI4Science, 2021
    [PDF]

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    From Convolutions towards Spikes: Environmental Metric that the Community currently misses
    A. Chharia*, S. Chauhan*, R. Upadhyay, V. Kumar
    NeurIPS AI4Science & NeurIPS Human-Centered AI, 2021
    [PDF]

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    A Cognitively-Inspired Incremental Learning based de novo model for Breast Cancer Prognosis by Multi-Omics Data Fusion
    A. Chharia, N. Kumar
    MICCAI Predictive Intelligence in Medicine, 2021
    [PDF] [Web]

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    A novel fuzzy approach towards in silico B-cell epitope identification inducing antigen-specific immune response
    A. Chharia, A. Narayan
    IEEE 21st International Conference on Bioinformatics & Bioengineering (BIBE), 2021
    [PDF]

    AI for Neuroscience

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    PyNoetic: A Modular Python Framework for No-code development of EEG Brain-Computer Interfaces
    G. Singh, A. Chharia, R. Upadhyay, V. Kumar, L. Longo
    PLoS One, 2025
    [PDF] [Web] [Code] Q1

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    Schizo-Net: A novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Learning on EEG Brain Connectivity Indices
    N. Grover, A. Chharia, R. Upadhyay, L. Longo
    IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2023
    [PDF] [Web] Q1 Flagship

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    How Visual Stimuli evoked P300 is transforming the Brain-Computer Interface Landscape
    J. Kalra, P. Mittal, N. Mittal, A. Arora, U. Tewari, A. Chharia, R. Upadhyay, V. Kumar, L. Longo
    IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2023
    [PDF] Q1 Flagship


    Code and Star History

    Star History Chart

    Scholastic Achievement and Awards

  • 2025: Tartan Research Data Alliance Fellow
  • 2024: ATK-Nick G. Vlahakis Graduate Fellowship (only 3 CMU Graduate Students)
  • 2020-22: Dean's Merit List Scholarship (~50% Tuition Waiver)
  • 2022: MITACS Globalink Graduate Fellowship (Financial support for MS/ PhD/ Postdoc in Canada)
  • 2021: MITACS Globalink Research Fellowship, Canada
  • 2021: Student's Undergraduate Research Graduate Excellence by IIT Kanpur (<4% acceptance)
  • 2020: Winner, University of Queensland Engineering Design Hackathon
  • 2016: World Rank 264, International Olympiad of Mathematics

    • Teaching Assistant

  • 24-788 Intro to Deep Learning (Spring 2024)
  • 24-799 Intermediate Deep Learning (Spring 2024)
  • 24-787 Machine Learning & AI for Engineers (Spring 2023, Fall 2023)
  • 24-675 Humanoid Robotics & Cognition (Fall 2022)

    • Coursework

  • 11-785 Intro to Deep Learning
  • 16-730 Robotics Business
  • 16-735 Ethics & Robotics
  • 16-811 Mathematical Fundamentals of Robotics
  • 16-820 Advanced Computer Vision
  • 16-823 Physics-based Methods in Vision
  • 24-703 Numerical Methods in Engineering
  • 24-784 Trustworthy Artificial Intelligence
  • 24-787 Machine Learning & AI for Engineers