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Indu Kant Deo

Observed name: Deo, Indu Kant
Observed institution: University of British Columbia
ORCID: 0000-0002-2030-7881
Observed ORCID: 0000-0002-2030-7881
OpenAlex ID: A5088571908
A finite element-inspired hypergraph neural network: Application to fluid dynamics simulations
2024 · Rui Gao, Indu Kant Deo, et al. · Journal of Computational Physics · 38
Predicting waves in fluids with deep neural network
2022 · Indu Kant Deo, Rajeev Jaiman · Physics of Fluids · 36
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Predicting transmission loss in underwater acoustics using continual learning with range-dependent conditional convolutional neural networks
2025 · Indu Kant Deo, Akash Venkateshwaran, et al. · The Journal of the Acoustical Society of America · 13
Combined space–time reduced-order model with three-dimensional deep convolution for extrapolating fluid dynamics
2023 · Indu Kant Deo, Rui Gao, et al. · Physics of Fluids · 13
A multi-objective optimization framework for reducing the impact of ship noise on marine mammals
2024 · Akash Venkateshwaran, Indu Kant Deo, et al. · Ocean Engineering · 7
MUTE-DSS: A digital-twin-based decision support system for minimizing underwater radiated noise in ship voyage planning
2025 · Akash Venkateshwaran, Indu Kant Deo, et al. · Ocean Engineering · 6
A physics-guided probabilistic surrogate modeling framework for digital twins of underwater radiated noise
2026 · Indu Kant Deo, Akash Venkateshwaran, et al. · Ocean Engineering · 3
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Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing
2025 · Indu Kant Deo, Youngsoo Choi, et al. · Qeios · 1
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Predicting Wave Propagation for Varying Bathymetry Using Conditional Convolutional Autoencoder Network
2024 · Indu Kant Deo, Akash Vankateshwaran, et al. · International Conference on Offshore Mechanics and Arctic Engineering (OMAE) · 1
Multi-Objective Ship Voyage Optimization Framework for Underwater Noise Emission
2024 · Akash Venkateshwaran, Indu Kant Deo, et al. · International Conference on Offshore Mechanics and Arctic Engineering (OMAE) · 1
Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net
2024 · Deo, Indu Kant, Venkateshwaran, Akash, et al. · arXiv (Cornell University) · 1
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Predicting wave dynamics using deep learning with multistep integration inspired attention and physics-based loss decomposition
2026 · Indu Kant Deo, Rajeev K. Jaiman · Journal of Computational Physics
Physics-Guided Probabilistic Digital Twin for Underwater Noise Prediction
2026 · Indu Kant Deo, Akash Venkateshwaran, et al. · International Conference on Offshore Mechanics and Arctic Engineering (OMAE)
Data-Driven Differentiable Simulations for Three-Dimensional Range-Dependent Underwater Acoustics
2025 · Indu Kant Deo, Akash Venkateshwaran, et al. · International Conference on Offshore Mechanics and Arctic Engineering (OMAE)
Harnessing Loss Decomposition for Long-Horizon Wave Predictions via Deep Neural Networks
2024 · Deo, Indu Kant, Jaiman, Rajeev · arXiv (Cornell University)
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Combined space-time reduced-order model with 3D deep convolution for extrapolating fluid dynamics
2022 · Deo, Indu Kant, Gao, Rui, et al. · arXiv (Cornell University)
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Works count: 17
Citation count: 120
H-index: 6
I10-index: 4
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