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Herath Mudiyanselage Viraj Vidura Herath

The University of Sydney - School of Civil Engineering

Sydney

Australia

http://https://profiles.sydney.edu.au/viraj.herath

  • The University of Sydney - School of Civil Engineering

SCHOLARLY PAPERS

4

DOWNLOADS

240

TOTAL CITATIONS

1

Scholarly Papers (4)

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1.

Subgrid Informed Neural Networks for High-Resolution Flood Mapping

Number of pages: 62 Posted: 07 Nov 2024 Last Revised: 25 Jun 2025
Herath Mudiyanselage Viraj Vidura Herath, Lucy Marshall, Abhishek Saha, Sanka Rasnayaka and Sachith Seneviratne
The University of Sydney - School of Civil Engineering, Macquarie University, Delft University of Technology, National University of Singapore (NUS) - School of Computing and University of Melbourne
Downloads 109 (649,907)

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Flood mapping, U-Net, Physics-informed machine learning, Hybrid models, Subgrid, Super-resolution

2.

Exploring graph neural networks for flood modeling: Challenges, opportunities, and future prospects

Number of pages: 30 Posted: 07 Jan 2026
Carlo Malapad Acosta, Herath Mudiyanselage Viraj Vidura Herath, Abhishek Saha, Sanka Rasnayaka and Lucy Marshall
affiliation not provided to SSRN, The University of Sydney - School of Civil Engineering, Delft University of Technology, National University of Singapore (NUS) - School of Computing and Macquarie University
Downloads 106 (664,543)
Citation 1

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Flood modeling, Surrogate Models, Machine Learning, Deep Learning, Graph Neural Networks

3.

Hydrologically constrained genetic programming for interpretable rainfall--runoff model discovery: A process-informed machine learning approach

Number of pages: 49 Posted: 09 Apr 2026
Naila Matin, Herath Mudiyanselage Viraj Vidura Herath, Abhishek Saha, Lucy Marshall and Vladan Babovic
affiliation not provided to SSRN, The University of Sydney - School of Civil Engineering, Delft University of Technology, Macquarie University and National University of Singapore (NUS)
Downloads 15 (1,500,778)

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genetic programming, rainfall-runoff modelling, process-informed machine learning, conceptual hydrological models, model structure discovery

4.

UrbanFloodBench: Bridging AI and Hydrology through Benchmarking of Coupled 1D–2D Urban Flood Surrogate Models

Number of pages: 40 Posted: 08 Jun 2026
Jia Yu Lim, Herath Mudiyanselage Viraj Vidura Herath, Sanka Rasnayaka, Lucy Marshall, Hui Zou, Abhishek Saha, Jobayer Hossain, Jing Yen Tong, Ing Zhen Lee, Yukiya Tsukada, Shrey Gandhi, Katsutoshi Matsumaro, Sajay Raj, Artyom Mazur, Andrey Khlopotnykh and Dmytro Cheshenko
National University of Singapore, The University of Sydney - School of Civil Engineering, National University of Singapore (NUS) - School of Computing, Macquarie University, University of New South Wales (UNSW), Delft University of Technology, Independent, National University of Singapore, affiliation not provided to SSRN, affiliation not provided to SSRN, Independent, Independent, Woxsen University, affiliation not provided to SSRN, affiliation not provided to SSRN and Oles Honchar Dnipro National University
Downloads 10

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Urban Flood Modelling, 1D-2D Benchmark Dataset, Surrogate models, Machine Learning, Deep Learning, Kaggle Competition