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Mojtaba Forghani
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Application of deep learning to large scale riverine flow velocity estimation
M Forghani, Y Qian, J Lee, MW Farthing, T Hesser, PK Kitanidis, EF Darve
Stochastic Environmental Research and Risk Assessment 35, 1069-1088, 2021
212021
Design of driver-assist systems under probabilistic safety specifications near stop signs
M Forghani, JM McNew, D Hoehener, D Del Vecchio
IEEE Transactions on Automation Science and Engineering 13 (1), 43-53, 2015
172015
Reconstruction of the phonon relaxation times using solutions of the Boltzmann transport equation
M Forghani, NG Hadjiconstantinou, JPM Péraud
Physical Review B 94 (15), 155439, 2016
102016
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry
M Forghani, Y Qian, J Lee, M Farthing, T Hesser, PK Kitanidis, EF Darve
Advances in Water Resources 170, 104323, 2022
92022
Phonon relaxation time reconstruction from transient thermal grating experiments and comparison with density functional theory predictions
M Forghani, NG Hadjiconstantinou
Applied Physics Letters 114 (2), 026103, 2019
82019
Control of uniflagellar soft robots at low reynolds number using buckling instability
M Forghani, W Huang, MK Jawed
Journal of Dynamic Systems, Measurement, and Control 143 (6), 061004, 2021
72021
Reconstruction of phonon relaxation times from systems featuring interfaces with unknown properties
M Forghani, NG Hadjiconstantinou
Physical Review B 97 (19), 195440, 2018
72018
Application of deep learning-based interpolation methods to nearshore bathymetry
Y Qian, M Forghani, JH Lee, M Farthing, T Hesser, P Kitanidis, E Darve
arXiv preprint arXiv:2011.09707, 2020
52020
Deep learning-based fast solver of the shallow water equations
M Forghani, Y Qian, J Lee, MW Farthing, T Hesser, PK Kitanidis, EF Darve
arXiv preprint arXiv:2111.11702, 2021
32021
Comparison on two ways of phonon spectral property reconstruction from thermal spectroscopy experiment
M Forghani, NG Hadjiconstantinou
International Journal of Heat and Mass Transfer 175, 121119, 2021
32021
Safety control of a class of stochastic order preserving systems with application to collision avoidance near stop signs
M Forghani, JM McNew, D Hoehener, D Del Vecchio
2015 American Control Conference (ACC), 507-514, 2015
32015
Machine Learning and Projection-Based Model Reduction in Hydrology and Geosciences
M Forghani, Y Qian, J Lee, M Farthing, T Hesser, PK Kitanidis, EF Darve
Knowledge-Guided Machine Learning, 83-110, 0
2*
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
An inverse problem framework for reconstruction of phonon properties using solutions of the Boltzmann transport equation
M Forghani
Massachusetts Institute of Technology, 2020
12020
Order Preserving Properties of Vehicle Dynamics with Respect to the Driver's Input
M Forghani, D Del Vecchio
Technical Report, 2014
12014
Deep learning-based estimation of riverine bathymetry using Variational Encoder Geostatistical Approaches (VEGAs)
M Forghani, Y Qian, J Lee, M Farthing, T Hesser, P Kitanidis, E Darve
AGU Fall Meeting Abstracts 2021, H35S-1254, 2021
2021
Efficient Stochastic Subsurface Inversion using Deep Generative Modeling and Multi-fidelity Importance Sampling
D Patel, M Forghani, J Lee, M Farthing, T Hesser, P Kitanidis, E Darve
AGU Fall Meeting Abstracts 2021, H12E-06, 2021
2021
Deep Bayesian Techniques to Nearshore Bathymetry with Sparse Measurements
Y Qian, M Forghani, JH Lee, MW Farthing, T Hesser, PK Kitanidis, ...
AGU Fall Meeting Abstracts 2020, H076-10, 2020
2020
Deep learning application to fast estimation of riverine surface velocity
M Forghani, Y Qian, JH Lee, M Farthing, T Hesser, PK Kitanidis, EF Darve
AGU Fall Meeting Abstracts 2020, EP046-0006, 2020
2020
Fast solver of the shallow water equations with application to estimation of the riverine surface flow velocity
M Forghani, Y Qian, P Kitanidis, M Farthing, T Hesser, J Lee, E Darve
APS Division of Fluid Dynamics Meeting Abstracts, S01. 012, 2020
2020
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