Aviral Chharia

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I am a first-year Ph.D. student at Carnegie Mellon University, where I focus on 2D/ 3D Scene Understanding (perception, reconstruction & simulation) for sensing human activity/ behavior. My research is motivated from applications in Healthcare, AR/ VR, and Human-Machine Interface using sensory data such as images, videos, motion capture.
Previously, I obtained my B.E. degree from Thapar Institute of Engineering & Technology, and an M.S. degree from Carnegie Mellon University. I also spent an year as a MITACS Fellow at The University of British Columbia, working with Prof. Apurva Narayan. I also had the opportunity to work as a Research Intern at CMU's School of Computer Science under the guidance of Prof. Min Xu.

Honors and Awards

Papers (*indicates co-first author)


Towards Human-centric Artificial General Intelligence (HAGI)

CMU-Construct: Real-time Safety Violation Recognition for 3D Multi-camera Construction Environments
A. Chharia, T. Ren, T. Furuhata, K. Shimada
Engineering Applications of Artificial Intelligence (EAAI), 2025
[To be Submitted]
Coming Soon!
Human-VDM: Learning Single-Image 3D Human Gaussian Splatting from Video Diffusion Models
Z. Liu, H. Wu, A. Chharia, Y. Li, G. H. Lee, H. Dong
arXiv 2024

[Paper] [Code] [Website]

AI for Computational Biology and Medicine

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, 2024

[Paper] [MedicalXpress] [News-Medical.net]
cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing Aptamer-Target Protein Interactions
A. Chharia, R. Saran, A. Narayan
International Joint Conference on Neural Networks (IJCNN), 2023

[Paper] [Code] [Website]
Schizo-Net: A novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on EEG-Based Brain Connectivity Indices
N. Grover, A. Chharia, R. Upadhyay, L. Longo
IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE), 2023

[Paper] [Website]
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 (TNSRE), 2023

[Paper]
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

[Paper] [Code] [Website]
From Convolutions towards Spikes: Environmental Metric that the Community currently misses
A. Chharia*, S. Chauhan*, R. Upadhyay, V Kumar
Neural Information Processing Systems (NeurIPS) AI4Science & Human-Centered AI, 2021

[Paper]
Learning after Deployment: A Missed Tale of Supervision?
A. Chharia, N. Kumar
Neural Information Processing Systems (NeurIPS) ML in Public Health, 2021 [Oral]

[Ligtening Talk]
A novel fuzzy approach to Antimicrobial Peptide Activity Prediction: A tale of limited & imbalanced data that models won't hear
A. Chharia , R. Upadhyay, V. Kumar
Neural Information Processing Systems (NeurIPS) AI4Science, 2021

[Paper]
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 (MICCAI PRIME), 2021

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

[Paper]