Indu Kant Deo

11 papers C 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Physics-Guided Probabilistic Surrogate Modeling Framework for Digital Twins of Underwater Radiated Noise.
CoRR
Indu Kant Deo, Akash Venkateshwaran, Rajeev K. Jaiman
2025 J jnl
Predicting Wave Dynamics using Deep Learning with Multistep Integration Inspired Attention and Physics-Based Loss Decomposition.
CoRR
Indu Kant Deo, Rajeev K. Jaiman
2024 J jnl
A finite element-inspired hypergraph neural network: Application to fluid dynamics simulations.
J. Comput. Phys.
Rui Gao, Indu Kant Deo, Rajeev K. Jaiman
2024 J jnl
Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net.
CoRR
Indu Kant Deo, Akash Venkateshwaran, Rajeev K. Jaiman
2024 J jnl
Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing.
CoRR
Indu Kant Deo, Youngsoo Choi, Saad A. Khairallah, Alexandre Reikher, Maria Strantza
2024 J jnl
Harnessing Loss Decomposition for Long-Horizon Wave Predictions via Deep Neural Networks.
CoRR
Indu Kant Deo, Rajeev Jaiman
2022 J jnl
Combined space-time reduced-order model with 3D deep convolution for extrapolating fluid dynamics.
CoRR
Indu Kant Deo, Rui Gao, Rajeev Jaiman
2022 J jnl
Learning Wave Propagation with Attention-Based Convolutional Recurrent Autoencoder Net.
CoRR
Indu Kant Deo, Rajeev Jaiman
2022 J jnl
Node-Element Hypergraph Message Passing for Fluid Dynamics Simulations.
CoRR
Rui Gao, Indu Kant Deo, Rajeev K. Jaiman
2019 — conf
Design and Implementation of Autonomous Ground Vehicle for Constrained Environments.
IRC
G. Rahul Kranti Kiran, Indu Kant Deo, Sanskar Agrawal, Siddhant Haldar, Het Shah, Sohan Rudra, Harsh Maheshwari, Aditya Rathore, Poojan Shah, Ashwin Nehete, Debashish Chakravarty
2018 C conf
Off-Road Lane Detection Using Superpixel Clustering and RANSAC Curve Fitting.
ICARCV
Sanskar Agrawal, Indu Kant Deo, Siddhant Haldar, G. Rahul Kranti Kiran, Vaibhav Lodhi, Debashish Chakravarty