Ionel Michael Navon
Affiliations: | Florida State University, Tallahassee, FL, United States |
Area:
Mathematics, GeophysicsWebsite:
http://people.sc.fsu.edu/~inavon/Google:
"I. Michael Navon"Mean distance: (not calculated yet)
Cross-listing: MathTree
Children
Sign in to add trainee| Cristian A. Homescu | grad student | 2002 | Florida State (MathTree) |
| Santharam Akella | grad student | 2006 | Florida State (MathTree) |
| Jeffrey L. Steward | grad student | 2012 | Florida State (Meteorology Tree) |
| Jian Geng | grad student | 2013 | Florida State (MathTree) |
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Publications
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| Pawar S, Ahmed SE, San O, et al. (2020) Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows Physics of Fluids. 32: 76606 |
| Cheng M, Fang F, Kinouchi T, et al. (2020) Long lead-time daily and monthly streamflow forecasting using machine learning methods Journal of Hydrology. 590: 125376 |
| Cheng M, Fang F, Pain CC, et al. (2020) An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling Computer Methods in Applied Mechanics and Engineering. 372: 113375 |
| Cheng M, Fang F, Pain CC, et al. (2020) Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network Computer Methods in Applied Mechanics and Engineering. 365: 113000 |
| Steppeler J, Li J, Fang F, et al. (2020) Third-order sparse grid generalized spectral elements on hexagonal cells for uniform-speed advection in a plane Meteorology and Atmospheric Physics. 132: 703-719 |
| Abbaszadeh M, Dehghan M, Navon IM. (2020) A proper orthogonal decomposition variational multiscale meshless interpolating element‐free Galerkin method for incompressible magnetohydrodynamics flow International Journal For Numerical Methods in Fluids. 92: 1415-1436 |
| Ahmed SE, San O, Bistrian DA, et al. (2020) Sampling and resolution characteristics in reduced order models of shallow water equations: intrusive vs non‐intrusive International Journal For Numerical Methods in Fluids. 92: 992-1036 |
| Ahmed SE, Rahman SM, San O, et al. (2019) Memory embedded non-intrusive reduced order modeling of non-ergodic flows Physics of Fluids. 31: 126602 |
| Hu R, Fang F, Pain CC, et al. (2019) Rapid spatio-temporal flood prediction and uncertainty quantification using a deep learning method Journal of Hydrology. 575: 911-920 |
| Xiao D, Heaney C, Fang F, et al. (2019) A domain decomposition non-intrusive reduced order model for turbulent flows Computers & Fluids. 182: 15-27 |