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T. P. Miyanawala

Observed names: Miyanawala, Tharindu P., T.P. Miyanawala, THARINDU PRADEEPTHA MIYANAWALA, Tharindu Miyanawala, Tharindu Pradeeptha Miyanawala
ORCID: 0000-0002-2484-8896
Observed ORCID: 0000-0002-2484-8896
OpenAlex ID: A5046292441
An Efficient Deep Learning Technique for the Navier-Stokes Equations: Application to Unsteady Wake Flow Dynamics
2017 · Miyanawala, Tharindu P., Jaiman, Rajeev K. · arXiv (Cornell University) · 122
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Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings
2022 · D.P.P. Meddage, I.U. Ekanayake, et al. · Journal of Wind Engineering and Industrial Aerodynamics · 103
Decomposition of wake dynamics in fluid–structure interaction via low-dimensional models
2019 · T. P. Miyanawala, R. K. Jaiman · Journal of Fluid Mechanics · 61
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Partitioned iterative and dynamic subgrid-scale methods for freely vibrating square-section structures at subcritical Reynolds number
2016 · R.K. Jaiman, M.Z. Guan, et al. · Computers & Fluids · 60
A Hybrid Data-Driven Deep Learning Technique for Fluid-Structure Interaction
2019 · T. P. Miyanawala, Rajeev K. Jaiman · International Conference on Offshore Mechanics and Arctic Engineering (OMAE) · 28
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A Novel Deep Learning Method for the Predictions of Current Forces on Bluff Bodies
2018 · T. P. Miyanawala, Rajeev K. Jaiman · International Conference on Offshore Mechanics and Arctic Engineering (OMAE) · 22
Self-sustaining turbulent wake characteristics in fluid–structure interaction of a square cylinder
2017 · T.P. Miyanawala, R.K. Jaiman · Journal of Fluids and Structures · 18
Data-Driven Computing With Convolutional Neural Networks for Two-Phase Flows: Application to Wave-Structure Interaction
2018 · X. Mao, V. Joshi, et al. · International Conference on Offshore Mechanics and Arctic Engineering (OMAE) · 14
Real-time prediction of hydrodynamic forces and dynamic responses of a generic jack-up platform using deep learning
2024 · T.P. Miyanawala, Y. Li, et al. · Ocean Engineering · 11
A Low-Dimensional Learning Model via Convolutional Neural Networks for Unsteady Wake-Body Interaction
2018 · T. P. Miyanawala, Rajeev K. Jaiman · arXiv (Cornell University) · 3
Flow-Induced Vibrations of a Square Cylinder With Combined Translational and Rotational Oscillations
2016 · T. P. Miyanawala, Mengzhao Guan, et al. · International Conference on Offshore Mechanics and Arctic Engineering (OMAE) · 3
Analysis of Flow Induced Vibration of High Head Francis Turbine
2023 · G. P. R. Chandima, T. P. Miyanawala, et al. · Moratuwa Engineering Research Conference (MERCon) · 2
Control of Flow-Induced Motion in Multi-Column Offshore Platform by Near-Wake Jets
2017 · M. Z. Guan, K. Narendran, et al. · International Conference on Offshore Mechanics and Arctic Engineering (OMAE) · 2
Deep Learning Techniques for Effective Prediction of Aerodynamic Properties of Elliptical Bluff Bodies
2021 · W. M. U. Weerasekara, H. M. C. D. B. Gunarathna, et al. · 1
Efficient Prediction of Mooring Forces of a Floating Offshore Wind Turbine Using LSTM-Based Deep Learning
2025 · Tharindu Miyanawala, Hongchao Wang, et al. · International Conference on Offshore Mechanics and Arctic Engineering (OMAE)
Deep Learning Based Prediction of Hydrodynamic Forces on Offshore Platforms
2023 · Tharindu Pradeeptha Miyanawala, Yulong Li, et al. · International Conference on Offshore Mechanics and Arctic Engineering (OMAE)
Hybrid deep-learning based reduced order models for the coupled fluid-structure dynamics of physics-based digital twins
2021 · Tharindu Miyanawala, Rajeev Jaiman
Using Deep Neural Networks for Data-Driven Prediction of Fluid Forces on Aerofoils
2019 · T. P. Miyanawala, Pasan Henadeera, et al. · Bulletin of the American Physical Society
A Machine Learning Model for Unsteady Wake Dynamics
2018 · T. P. Miyanawala, Rajeev K. Jaiman · Bulletin of the American Physical Society
Convolutional Neural Networks for Wake Flow Predictions
2017 · T. P. Miyanawala, Rajeev K. Jaiman · Bulletin of the American Physical Society
Works count: 21
Citation count: 450
H-index: 9
I10-index: 9
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