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Indu Kant Deo
Indu Kant Deo
Student of Mechanical Engineering, The University of British Columbia
Verified email at student.ubc.ca - Homepage
Title
Cited by
Cited by
Year
Predicting waves in fluids with deep neural network
IK Deo, R Jaiman
Physics of Fluids 34 (6), 067108, 2022
30*2022
Off-Road Lane Detection Using Superpixel Clustering and RANSAC Curve Fitting
S Agrawal, IK Deo, S Haldar, GRK Kiran, V Lodhi, D Chakravarty
2018 15th International Conference on Control, Automation, Robotics and …, 2018
72018
A finite element-inspired hypergraph neural network: Application to fluid dynamics simulations
R Gao, IK Deo, RK Jaiman
Journal of Computational Physics, 112866, 2024
6*2024
Combined space–time reduced-order model with three-dimensional deep convolution for extrapolating fluid dynamics
IK Deo, R Gao, R Jaiman
Physics of Fluids 35 (4), 2023
52023
Design and Implementation of Autonomous Ground Vehicle for Constrained Environments
GRK Kiran, IK Deo, S Agrawal, S Haldar, H Shah, S Rudra, H Maheshwari, ...
2019 Third IEEE International Conference on Robotic Computing (IRC), 236-239, 2019
22019
A multi-objective optimization framework for reducing the impact of ship noise on marine mammals
A Venkateshwaran, IK Deo, J Jelovica, RK Jaiman
arXiv preprint arXiv:2402.02647, 2024
2024
Extrapolating fluid dynamics with spatiotemporal convolution networks
IK Deo, R Gao, R Jaiman
Bulletin of the American Physical Society 67, 2022
2022
Attention-based Convolutional Recurrent Autoencoder for Learning Wave Propagation
IK Deo, R Jaiman
APS Division of Fluid Dynamics Meeting Abstracts, Q31. 007, 2021
2021
Node-element hypergraph message passing for mesh-based simulations
R Gao, IK Deo
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Articles 1–9