publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. A finite element-inspired hypergraph neural network: Application to fluid dynamics simulations
    Rui Gao, Indu Kant Deo, and Rajeev K Jaiman
    Journal of Computational Physics, 2024
  2. A multi-objective optimization framework for reducing the impact of ship noise on marine mammals
    Akash Venkateshwaran, Indu Kant Deo, Jasmin Jelovica, and 1 more author
    arXiv preprint arXiv:2402.02647, 2024
  3. Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net
    Indu Kant Deo, Akash Venkateshwaran, and Rajeev K Jaiman
    arXiv preprint arXiv:2404.08091, 2024
  4. Multi-Objective Ship Voyage Optimization Framework for Underwater Noise Emission
    Akash Venkateshwaran, Indu Kant Deo, Rajeev K Jaiman, and 1 more author
    In International Conference on Offshore Mechanics and Arctic Engineering, 2024
  5. Predicting Wave Propagation for Varying Bathymetry Using Conditional Convolutional Autoencoder Network
    Indu Kant Deo, Akash Vankateshwaran, and Rajeev Jaiman
    In International Conference on Offshore Mechanics and Arctic Engineering, 2024

2023

  1. Combined space–time reduced-order model with three-dimensional deep convolution for extrapolating fluid dynamics
    Indu Kant Deo, Rui Gao, and Rajeev Jaiman
    Physics of Fluids, 2023

2022

  1. Predicting waves in fluids with deep neural network
    Indu Kant Deo, and Rajeev Jaiman
    Physics of Fluids, 2022
  2. Extrapolating fluid dynamics with spatiotemporal convolution networks
    Indu Kant Deo, Rui Gao, and Rajeev Jaiman
    Bulletin of the American Physical Society, 2022

2021

  1. Attention-based Convolutional Recurrent Autoencoder for Learning Wave Propagation
    Indu Kant Deo, and Rajeev Jaiman
    In APS Division of Fluid Dynamics Meeting Abstracts, 2021

2019

  1. Design and Implementation of Autonomous Ground Vehicle for Constrained Environments
    G Rahul Kranti Kiran, Indu Kant Deo, Sanskar Agrawal, and 8 more authors
    In 2019 Third IEEE International Conference on Robotic Computing (IRC), 2019

2018

  1. Off-Road Lane Detection Using Superpixel Clustering and RANSAC Curve Fitting
    Sanskar Agrawal, Indu Kant Deo, Siddhant Haldar, and 3 more authors
    In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2018