| A framework for modeling flood depth using a hybrid of hydraulics and machine learning H Hosseiny, F Nazari, V Smith, C Nataraj Scientific Reports 10 (1), 8222, 2020 | 107 | 2020 |
| A deep learning model for predicting river flood depth and extent H Hosseiny Environmental Modelling & Software 145, 105186, 2021 | 59 | 2021 |
| A hydraulic multimodel ensemble framework for visualizing flood inundation uncertainty CM Zarzar, H Hosseiny, R Siddique, M Gomez, V Smith, A Mejia, J Dyer JAWRA Journal of the American Water Resources Association 54 (4), 807-819, 2018 | 49 | 2018 |
| Using MODIS remote sensing data for mapping the spatio-temporal variability of water quality and river turbid plume SA Hamidi, H Hosseiny, N Ekhtari, B Khazaei Journal of Coastal Coservation 17 (2), 2017 | 37 | 2017 |
| A regression-based prediction model of suspended sediment yield in the Cuyahoga River in Ohio using historical satellite images and precipitation data R Ampomah, H Hosseiny, L Zhang, V Smith, K Sample-Lord Water 12 (3), 881, 2020 | 26 | 2020 |
| A Generalized Automated Framework for Urban Runoff Modeling and Its Application at a Citywide Landscape H Hosseiny, M Crimmins, P Smith, Virginia, Kremer Water 12 (357), 2020 | 23 | 2020 |
| Unraveling the complexities of urban fluvial flood hydraulics through AI MAA Mehedi, V Smith, H Hosseiny, X Jiao Scientific Reports 12 (1), 18738, 2022 | 15 | 2022 |
| Two Dimensional Model for Backwater Geomorphology: Darby Creek, PA H Hosseiny, V Smith Water 11 (2204), 2019 | 12 | 2019 |
| Spatial integration of urban runoff modeling, heat, and social vulnerability for blue-green infrastructure planning and management NK Marks, H Hosseiny, VP Bill, KL Ahn, MC Crimmins, P Kremer, ... Journal of Water Resources Planning and Management 148 (11), 05022007, 2022 | 8 | 2022 |
| Implementation of heuristic search algorithms in the calibration of a river hydraulic model H Hosseiny Environmental Modelling & Software 157, 105537, 2022 | 8 | 2022 |
| Development of a machine learning model for river bed load H Hosseiny, CC Masteller, JE Dale, CB Phillips Earth Surface Dynamics 11 (4), 681-693, 2023 | 6 | 2023 |
| A Framework for Modeling Flood Depth Using a Hybrid of Hydraulics and Machine Learning, Sci. Rep., 10, 8222 H Hosseiny, F Nazari, V Smith, C Nataraj | 6 | 2020 |
| Suspended sediment sampling and annual sediment yield on the Middle Trinity River K Strom, H Hosseiny University of Houston, Department of Civil and Environmental Engineering, 2015 | 6 | 2015 |
| Three-dimensional numerical modeling of urban green stormwater infrastructure curb inlets R Ampomah, H Hosseiny, S Stoolmiller, M Fares, V Smith, B Wadzuk Journal of Irrigation and Drainage Engineering 147 (9), 04021039, 2021 | 5 | 2021 |
| Sediment sampling, characterization, and analysis on the Guadalupe River in the coastal plain of Texas K Strom, H Hosseiny, KH Wang University of Houston, Department of Civil and Environmental Engineering, 2015 | 4 | 2015 |
| Integrating deep learning, satellite image processing, and spatial-temporal analysis for urban flood prediction N Mohamadiazar, A Ebrahimian, H Hosseiny Journal of Hydrology 639, 131508, 2024 | 3 | 2024 |
| Unraveling The Complexities of Urban Flood Hydraulics Through AI MA Al Mehedi, V Smith, H Hosseiny, X Jiao | 3 | 2022 |
| A satellite imagery approach to monitor turbidity and total suspended sediment in Green Bay, WI S Hamidi, H Hosseiny, N Ekhtari, B Khazaei American Geophysical Union (AGU), 2017 | 3 | 2017 |
| Quantifying uncertainty in flood inundation mapping using streamflow ensembles and hydraulic modeling techniques C Zarzar, H Hosseiny, R Siddique, M Gomez NATIONAL WATER CENTER INNOVATORS PROGRAM SUMMER INSTITUTE REPORT 2016 4, 71, 2016 | 2 | 2016 |
| Near Real-Time Flood Inundation Prediction Using Sentinel-1 Imagery and Deep Learning N Mohamadiazar, A Ebrahimian, H Hosseiny World Environmental and Water Resources Congress 2024, 824-834, 2024 | 1 | 2024 |