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hojat ghorbanidehno
hojat ghorbanidehno
Student in Mechanical Engineering department, Stanford University
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Recent developments in fast and scalable inverse modeling and data assimilation methods in hydrology
H Ghorbanidehno, A Kokkinaki, J Lee, E Darve
Journal of Hydrology 591, 125266, 2020
372020
Real-time data assimilation for large-scale systems: The spectral Kalman filter
H Ghorbanidehno, A Kokkinaki, JY Li, E Darve, PK Kitanidis
Advances in water resources 86, 260-272, 2015
362015
The compressed state K alman filter for nonlinear state estimation: Application to large‐scale reservoir monitoring
JY Li, A Kokkinaki, H Ghorbanidehno, EF Darve, PK Kitanidis
Water Resources Research 51 (12), 9942-9963, 2015
312015
Deep learning technique for fast inference of large-scale riverine bathymetry
H Ghorbanidehno, J Lee, M Farthing, T Hesser, EF Darve, PK Kitanidis
Advances in Water Resources 147, 103715, 2021
222021
Riverine bathymetry imaging with indirect observations
J Lee, H Ghorbanidehno, MW Farthing, TJ Hesser, EF Darve, PK Kitanidis
Water Resources Research 54 (5), 3704-3727, 2018
212018
Novel data assimilation algorithm for nearshore bathymetry
H Ghorbanidehno, J Lee, M Farthing, T Hesser, PK Kitanidis, EF Darve
Journal of Atmospheric and Oceanic Technology 36 (4), 699-715, 2019
122019
Optimal estimation and scheduling in aquifer management using the rapid feedback control method
H Ghorbanidehno, A Kokkinaki, PK Kitanidis, E Darve
Advances in water resources 110, 310-318, 2017
122017
Deep learning techniques for nearshore and riverine bathymetry estimation using water-surface observations
H Ghorbanidehno, Y Qian, JH Lee, M Farthing, T Hesser, PK Kitanidis, ...
Ocean Sciences Meeting, 2020
12020
Fast Data Assimilation and Optimal Control Methods and Applications
H Ghorbanidehno
Stanford University, 2018
12018
Efficient data assimilation algorithms for bathymetry applications
H Ghorbanidehno, A Kokkinaki, JH Lee, M Farthing, T Hesser, ...
AGU Fall Meeting Abstracts 2016, OS23A-2001, 2016
12016
Optimal management of large scale aquifers under uncertainty
H Ghorbanidehno, A Kokkinaki, PK Kitanidis, EF Darve
AGU Fall Meeting Abstracts 2016, IN11C-1638, 2016
12016
Fast parameter and state estimation with the Spectral Kalman Filter: an application for CO2 injection in heterogeneous domains
H Ghorbanidehno, A Kokkinaki, EF Darve, PK Kitanidis
AGU Fall Meeting Abstracts 2014, H33C-0810, 2014
12014
Surfzone Topography-informed Deep Learning Techniques to Nearshore Bathymetry with Sparse Measurements.
Y Qian, H Ghorbanidehno, MW Farthing, T Hesser, PK Kitanidis, EF Darve
AAAI Spring Symposium: MLPS, 2020
2020
deep learning techniques for riverine bathymetry and flow velocity estimation
H Ghorbanidehno, JH Lee, M Farthing, T Hesser, PK Kitanidis, EF Darve, ...
AGU Fall Meeting 2019, 2019
2019
Rapid wave model-based nearshore bathymetry inversion with UAS measurements
JH Lee, M Farthing, T Hesser, KL Brodie, H Ghorbanidehno, MP Geheran, ...
AGU Fall Meeting 2019, 2019
2019
deep learning techniques for riverine bathymetry and flow velocity estimation
M Forghani, H Ghorbanidehno, JH Lee, M Farthing, T Hesser, ...
AGU Fall Meeting Abstracts 2019, EP53C-07, 2019
2019
Applications of Deep Neural Network to Near-shore Bathymetry with Sparse Measurements
Y Qian, H Ghorbanidehno, JH Lee, M Farthing, T Hesser, PK Kitanidis, ...
AGU Fall Meeting Abstracts 2019, EP43C-04, 2019
2019
Nearshore Bathymetry Estimation using Batch Inversion from UAS Based Observations
T Hesser, JH Lee, H Ghorbanidehno, MP Geheran, KL Brodie, BL Bruder, ...
AGU Fall Meeting Abstracts 2018, EP52D-34, 2018
2018
Bathymetry estimation using deep learning techniques
H Ghorbanidehno, JH Lee, M Farthing, T Hesser, PK Kitanidis, EF Darve
AGU Fall Meeting Abstracts 2018, IN21D-0746, 2018
2018
Riverine bathymetry imaging with indirect observations.
LJH Lee JongHyun, H Ghorbanidehno, MW Farthing, TJ Hesser, ...
2018
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Articles 1–20