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SALEHIAN GHAMSARI Sona

ORCID
0000-0001-6112-4769
Main Referenced Co-authors
HALE, Jack  (8)
van Dam, Tonie (3)
PALMIROTTA, Guendalina  (2)
VAN DAM, Tonie  (2)
Van Dam, Tonie (2)
Main Referenced Keywords
InSAR (3); Interferometric Synthetic Aperture Radar (InSAR) (3); predictive hydrological modeling (2); symmetric positive definite tensors (2); Uncertainty (2);
Main Referenced Disciplines
Earth sciences & physical geography (9)
Engineering, computing & technology: Multidisciplinary, general & others (7)
Mathematics (3)
Mechanical engineering (1)

Publications (total 10)

The most downloaded
1147 downloads
SALEHIAN GHAMSARI, S., Van Dam, T., & HALE, J. (01 June 2025). Can the anisotropic hydraulic conductivity of an aquifer be determined using surface displacement data? A case study. Applied Computing and Geosciences, 26, 100242. doi:10.1016/j.acags.2025.100242 https://hdl.handle.net/10993/61290

The most cited

3 citations (OpenAlex)

SALEHIAN GHAMSARI, S., Van Dam, T., & HALE, J. (01 June 2025). Can the anisotropic hydraulic conductivity of an aquifer be determined using surface displacement data? A case study. Applied Computing and Geosciences, 26, 100242. doi:10.1016/j.acags.2025.100242 https://hdl.handle.net/10993/61290

SALEHIAN GHAMSARI, S., van Dam, T., & HALE, J. (02 May 2026). A random model of anisotropic hydraulic conductivity tailored to the InSAR-based analysis of aquifers. Stochastic Environmental Research and Risk Assessment, 40 (5), 119.
Peer Reviewed verified by ORBi

SALEHIAN GHAMSARI, S., van Dam, T., & HALE, J. (21 November 2025). Linking Ground Deformation to Subsurface Anisotropy: Integrating InSAR, PDE Modeling, and Bayesian Inference [Paper presentation]. 103rd JLG dedicated to slow moving landslides with a special focus on Central Nepal, Dommeldange, Luxembourg.

SALEHIAN GHAMSARI, S., van Dam, T., & HALE, J. (09 September 2025). Stochastic anisotropic aquifer characterization: a poroelastic finite element model and the potential of using InSAR data [Poster presentation]. Near Surface Geoscience Conference & Exhibition 2025, Naples, Italy. doi:10.3997/2214-4609.202520124
Editorial reviewed

SALEHIAN GHAMSARI, S. (2025). BRIDGING REMOTE SENSING AND HYDROGEOLOGY: STOCHASTIC MODELING OF ANISOTROPIC HYDRAULIC CONDUCTIVITY FOR AQUIFER CHARACTERIZATION USING INSAR [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/65882

SALEHIAN GHAMSARI, S., VAN DAM, T., & HALE, J. (06 June 2025). Towards assimilating InSAR data into a model of a highly anisotropic aquifer system [Paper presentation]. International Symposium on Computational Sensing, Clervaux, Luxembourg.

SALEHIAN GHAMSARI, S., Van Dam, T., & HALE, J. (01 June 2025). Can the anisotropic hydraulic conductivity of an aquifer be determined using surface displacement data? A case study. Applied Computing and Geosciences, 26, 100242. doi:10.1016/j.acags.2025.100242
Peer reviewed

SALEHIAN GHAMSARI, S., PALMIROTTA, G., Tonie Van Dam, & HALE, J. (13 June 2024). Using random circular models to simulate stochastic anisotropic flow in aquifer systems with FEniCSx [Paper presentation]. FEniCS 2024, Oslo, Norway.

SALEHIAN GHAMSARI, S., PALMIROTTA, G., Van Dam, T., & HALE, J. (06 June 2024). Using random circular models in aquifer flow simulation [Poster presentation]. DPCSS PhD Day, Esch-sur-Alzette, Luxembourg.

SALEHIAN GHAMSARI, S., VAN DAM, T., & HALE, J. (2023). Towards assimilating SAR data into an anisotropic model of an underground aquifer [Paper presentation]. The European Geosciences Union (EGU) General Assembly 2023, Vienna, Austria.

SALEHIAN GHAMSARI, S. (22 March 2022). InSAR for climate change [Paper presentation]. Doctoral Programme in Computational Sciences (DPCS) presentations workshop, Esch-Sur-Alzette, Luxembourg.

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