Aviral Chharia | PhD Student, Robotics Institute, Carnegie Mellon University

About Me

I am a PhD student at the Robotics Institute at the School of Computer Science, Carnegie Mellon University. I completed my Master's degree from CMU in 2024. Previously, I obtained my Bachelor's degree from Thapar Institute of Engineering & Technology in 2022, advised by Prof. Rahul Upadhyay, and Prof. Vinay Kumar. I also spent a year as an MITACS Fellow at The University of British Columbia, working with Prof. Apurva Narayan and as a Research Assistant with Prof. Min Xu. I focus on Computer Vision, Digital Humans, and Computational Biology.

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

News and Updates

Oct 2025: Awarded the Uber Presidential Fellowship 2025!
Sep 2025: Started my PhD at Carnegie Mellon University!
Feb 2025: One paper accepted to CVPR 2025
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 Engineering

Publications

Computer Vision and Digital Humans

	MV-SSM: Multi-View State Space Modeling for 3D Human Pose Estimation A. Chharia, W. Gou, H. Dong CVPR 2025 [PDF] [Web]
	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] Ranked #1 on 2 Competition Leaderboards!
	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]
	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]

AI for Computational Biology

	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]
	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] Oral at NeurIPS 2021 ML in Public Health!
	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]
	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]
	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]
	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]
	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 Computational Neuroscience

	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] [News] Covered by 10 Major Newspapers across Europe!
	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]
	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]

Code and Star History

Scholastic Achievement and Awards

2025: Uber Presidential Fellowship
2025: Tartan Research Data Alliance Fellowship
2024: ATK-Nick G. Vlahakis Graduate Fellowship (3 CMU Grad 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
2021: IIT Kanpur Student's Undergraduate Research Graduate Excellence (<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
16-701 Intro to Human Robot Interaction
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