Reza Soltanian, PHD

Reza Soltanian is a Full Professor of Subsurface Energy and Hydrogeology in the Department of Geosciences at the University of Cincinnati. His research focuses on understanding and predicting fluid flow, solute transport, mixing, and biogeochemical processes in complex geological systems, with applications to groundwater resources, contaminant transport, geological carbon sequestration, and subsurface energy extraction and storage.

A central theme of his research is understanding how multiscale geological heterogeneity and sedimentary architecture control subsurface processes. His work integrates hydrogeology, sedimentology, geophysics, geochemistry, numerical modeling, and artificial intelligence to develop predictive frameworks linking geological structure to groundwater flow, reactive transport, multiphase flow, and subsurface biogeochemical activity. His research also advances physics-informed machine learning, geophysical inversion, uncertainty quantification, and data-driven approaches for subsurface characterization, prediction, and decision-making.

Soltanian directs the Theis–Nash Environmental Monitoring & Modeling Site (TEMMS), a field-scale research observatory integrating hydrologic monitoring, geophysical imaging, geochemical sensing, and predictive modeling to investigate groundwater–surface water interactions and hydrobiogeochemical processes. He also directs the Subsurface Energy & Hydrogeology Laboratory at UC Digital Futures.

His research program spans fundamental subsurface science and applications in environmental remediation, water resource management, carbon and hydrogen storage, nuclear waste disposal, and sustainable energy technologies. His professional experience extends beyond academia to environmental consulting, direct research collaborations with U.S. national laboratories, and the energy industry, including working at ExxonMobil Technology and Engineering Company (EMTEC). He maintains collaborations with universities, national laboratories, government agencies, and industry, and has received research support from federal agencies including the National Science Foundation, U.S. Department of Energy, U.S. Geological Survey, and Army Research Office.

B.S.: University of Shiraz 2008 (Irrigation and Drainage Engineering)

M.Sc: University of Tehran 2010 (Hydraulic Structure Engineering)

PhD: Wright State University 2015 (Earth and Environmental Sciences)

• Multiscale subsurface architecture characterization and geological heterogeneity
• Integration of geological, geophysical, monitoring, and operational data for subsurface characterization
• Groundwater–surface water interactions and hydrobiogeochemical processes
• Reactive transport, mixing, and redox dynamics in heterogeneous geological systems
• Geostatistics, stochastic modeling, and data assimilation for subsurface systems
• Machine learning and artificial intelligence for subsurface characterization, prediction, and decision support
• AI-enabled static and dynamic modeling of environmental and subsurface energy systems
• Sensitivity analysis, uncertainty quantification, and value of information analysis
• Geological carbon dioxide and hydrogen storage, geothermal energy, and subsurface energy systems
• Geophysical imaging, inversion, and integration with process-based models
• Multiphase flow, reactive processes, and flow instabilities in geological media

2015 -2015 Subsurface modeling lead, Subsurface Insights, LLC,

2010 -2011 Civil inspector, DAELIM Industrial Company, South Pars Gas Field Development

2025 - Full Professor of Subsurface Energy and Hydrogeology, Research and teaching in hydrogeology, subsurface energy, groundwater flow and reactive transport, geological heterogeneity, geophysical characterization, and AI-driven subsurface modeling. , University of Cincinnati, to present

2026 -To Present Director, Subsurface Energy & Hydrogeology Laboratory, Directs interdisciplinary research integrating subsurface characterization, geophysical imaging, numerical simulation, and artificial intelligence for groundwater, environmental, and subsurface energy applications., University of Cincinnati , Digital Futures

2023 -To Present Team Lead, Groundwater, Leads groundwater-related research and collaborative activities addressing sustainable water resources, groundwater management, and interdisciplinary environmental challenges., United Nations University (UNU), Sustainability Nexus AID,

2024 -2025 Subsurface Simulation Technology Development, Worked on subsurface simulation technology development at ExxonMobil Technology and Engineering Company., ExxonMobil Technology and Engineering Company (EMTEC), Houston

2015 -2017 Postdoctoral Researcher, School of Earth Sciences, The Ohio State University,

2018 -2022 Assistant Professor of Subsurface Energy & Hydrogeology, University of Cincinnati,

2022 -2024 Associate Professor of Subsurface Energy & Hydrogeology, University of Cincinnati,

2022 -To Present Board Member, Confluence Water Technology Innovation Cluster,

2023 -To Present Affiliate Faculty, School of Environment and Sustainability (SEaS), University of Cincinnati,

2019 -To Present Director, Theis-Nash Environmental Monitoring & Modeling Site (TEMMS),, University of Cincinnati,

Grant: #GR129186-SPC-1000007100 Investigators:Soltanian, Mohamad Reza; Sturmer, Daniel; Ward, Dylan 09-01-2022 -08-31-2023 U.S. Geological Survey Imaging hyporheic exchange dynamics in a headwaters stream impacted by urban karst (full proposal) Role:Collaborator 34264.00 Closed Level:Federal

Grant: #W911NF-23-1-0199 Investigators:Rowe, Annette; Soltanian, Mohamad Reza 07-01-2023 -06-30-2026 U.S. Army Contracting Command Monitoring and predicting subsurface biogeochemical hot spots Role:PI $485,000 Active Type:Grant

Grant: #PRF # 67019-ND2 Investigators:Dietsch, Craig; Soltanian, Mohamad Reza 01-01-2024 -08-31-2026 American Chemical Society - National Chapter Accurate Methane Emissions Modeling: Bridging the Gap with Molecular Dynamics Simulation and Field-Scale Approaches Role:PI $125,000.00 Active Type:Grant

Grant: #RISE-2422874 Investigators:Davis, Kermit; Morrow, Ardythe; Soltanian, Mohamad Reza; Stradling, David; Townsend-Small, Amy 05-01-2024 -10-31-2026 National Science Foundation Conference Title: A conference connecting Earth and health scientists and students from across the Midwest Role:Collaborator 93806.00 Active Level:Federal

Investigators:Soltanian, Reza; Tang, Ming 07-01-2026 -03-31-2027 Department of Energy AI-Accelerated Discovery of Multiscale Subsurface Architecture and Coupled Hydrobiogeochemical Processes Role:PI $740,000 Active Type:Grant

Grant: #SSI_2019_SBIR1940 sub DOE Investigators:Soltanian, Reza 05-28-2019 -03-28-2020 Department of Energy SBIR - Turnkey hydro geophysical monitoring and decision support system for environmental cleanup and energy applications Role:PI $40,000.00 Closed Level:Federal

Grant: #SSI (DE-SC0019621 Phase II) Investigators:Soltanian, Reza 04-15-2020 -02-28-2023 Department of Energy Turnkey hydro geophysical monitoring and decision support system for environmental cleanup and energy applications Role:PI 152672.00 Closed Level:Federal

09-01-2021 -09-01-2024 National Science Foundation EAR – Hydrologic Sciences The influence of hierarchical and multiscale river morphology and sediment heterogeneity on hyporheic exchange processes Role:PI $520,884 Completed Type:Grant Level:National

09-01-2021 -09-01-2022 Ohio Water Resources Center (USGS 104b) The influence of surface water-groundwater exchange on fate and transport of emerging contaminants Role:PI $34,599 Completed Type:Grant

09-01-2021 -09-01-2022 Duke Energy Foundation Powerful Communities Nature Grant Real-time water quality monitoring system for the Great Miami River Role:PI Completed Type:Grant

2020 Confluence Water Research Consortium 2019 Water Research Consortium Challenge Grant dvancing fundamental and predictive understanding of the fate and transport of an emerging contaminant of concern (1,4-dioxane) during surface water-groundwater exchange using field-scale experiments and advanced numerical modeling Completed Type:Grant

2025 UC Office of Research Acquisition of a multi-frequency electromagnetic induction system and industrial drone Role:PI $100,000 Completed Type:Grant Level:University

2021 UC Office of Research Real-time water quality monitoring system for the Great Miami River Role:PI Completed Type:Grant Level:University

2021 -2025 Miami Conservancy District Annual TEMMS maintenance support Role:PI Completed Type:Grant Level:Local

Grant: #Donation 2025 SLB A Global Technology Company Petrel, Intersect, Eclipse Software Donation Role:PI $158,000,000 Completed Type:Grant

2019 -2020 Environmental Molecular Sciences Laboratory (EMSL), U.S. Department of Energy 225,000 node-hours on Cascade Supercomputer for developing predictive understanding of subsurface flow and reactive geochemical transport through the use of Akuna: An open source and high-performance workflow system for subsurface simulation 225,000 node-hours Completed Type:Contract

Peer Reviewed Publications

Cao, Y.; Dong, S.; Dai, Z.; Zhu, L.; Xiao, T.; Zhang, X.; Yin, S.; Soltanian, M. R.  (2021). Adsorption model identification for chromium (VI) transport in unconsolidated sediments. J. Hydrol, 598

Soltanian, M. R.; and Ritzi, R. W.  (2014). A new method for analysis of variance of the hydraulic and reactive attributes of aquifers as linked to hierarchical and multiscaled sedimentary architecture. Water Resour. Res., 50 (12 )

Chen, J.; Dai, Z.; Yang, Z.; Pan, Y.; Zhang, X.; Soltanian, M. R.  (2021). An improved tandem neural network architecture for inverse modeling of multicomponent reactive transport in porous media. Water Resour. Res., 57(12), blueDOI: 10.1029/2021WR030595, \textbf. Water Resour. Res., 598

Estabragh, A. R.; Pereshkafti, M. R. S.; and Javadi, A. A.  (2014). Comparison between analytical and numerical methods in evaluating the pollution transport in porous media. Geotech. Geol. Eng., 31 (1 )

Zhang, X.; Ma, F.; Dai, Z.; Wallace, C. D.; Soltanian, M. R.; Ritzi, R. W.; Zhuan, C.; Lu, X.  (2021). Application of upscaling methods for fluid transport in multi-scale heterogeneous media: A critical review. Appl. Energy, 303 (7 )

Gershenzon, N. I.; Soltanian, M. R.; Ritzi, R. W.; Dominic, D. F.  (2014). Influence of small scale heterogeneity on CO2 trapping processes in deep saline aquifers. Energy Procedia, 59 (4 )

Behzadi, F.; Wallace, C. D.; Ward, D.; Versteeg, R.; Soltanian, M. R.  (2021). Bed form-induced hyporheic exchange and geochemical hotspots. Adv. Water Resour., 156

Zhou, Y.; Ritzi, R. W.; Soltanian, M. R.; and Dominic, D. F.  (2014). Influence of streambed heterogeneity on hyporheic exchange in gravelly rivers. Groundwater, 52 (2 )

Ershadnia, R.; Wallace, C. D.; Hosseini, S. A.; Dai, Z.; Soltanian, M. R.  (2021). Capillary heterogeneity controls methane migration in shallow unconfined aquifers. Geophys. Res. Lett., 48 (23 )

Estabragh, A. R.; Pereshkafti, M. R. S.; and Javadi, A. A.  (2014). Numerical analysis of advection- dominated contaminant transport in saturated porous media. Eur. J. Environ. Civ., 18 (5 )

Ershadnia, R.; Hajirezaie, S.; Amooie, M. A.; Wallaceâ? , C. D.; Gershenzon, N. I.; Hosseini, S. A.; Sturmer, D. M.; Ritzi, R. W.; Soltanian, M. R.  (2021). CO2 geological sequestration in multiscale heterogeneous aquifers: Effects of heterogeneity, connectivity, impurity, and hysteresis. Adv. Water Resour., 151

Estabragh, A. R.; Pereshkafti, M. R. S.; B,; Javadi, A. A.  (2014). Stabilised expansive soil behavior during wetting and drying. Int. J. Pavement Eng., 14 (4 )

Singh, M.; Chaudhuri, A.; Soltanian, M. R.; Stauffer, P.  (2021). Coupled multiphase flow and transport simulation to model CO2 dissolution and local capillary trapping in permeability and capillary heterogeneous reservoir. Int. J. Greenh. Gas Control., 108 (9 )

Soltanian, M. R.; Ritzi, R. W.; Huang, C. C.; Dai, Z.; and Deng, H.  (2015). A note on upscaling retardation factor in hierarchical porous media with multimodal reactive mineral facies. Transp. Porous Media, 108 (2 )

Ma, Z.; Dai, Z.; Zhang, X.; Zhan, C.; Gong, H.; Zhu, L.; C.D,; Soltanian, M. R.  (2021). Dispersivity variations of solute transport in heterogeneous sediments: numerical and experimental study. Stoch. Environ. Res. Risk Assess., 36 (23 )

Soltanian, M. R.; Ritzi, R. W.; Dominic, D. F.; Keefer, D.; E,; Storsved, B.  (2015). How does the connectivity of open-framework conglomerates within multi-scale hierarchical fluvial architecture affect oil-sweep efficiency in waterflooding?. Geosphere, 11 (6 )

Ma, Z.; Dong, S.; Yin, S.; Dai, Z.; Zhu, L.; Jia, W.; Wallace, C. D.; Soltanian, M. R.  (2021). Experimental investigations on scale-dependent dispersivity in three-dimensional heterogeneous porous media. Environ Sci Pollut Res, 36 (23 )

Gershenzon, N. I.; Ritzi, R. W.; Dominic, D. F.; Soltanian, M. R.; E,; Okwen, R. T.  (2015). Influence of small-scale fluvial architecture on CO2 trapping processes in deep brine reservoirs. Water Resour. Res., 51 (10 )

McGarr, J. T.; Wallace, C. D.; Ntarlagiannis, D.; Sturmer, D. M.; Soltanian, M. R.  (2021). Geophysical imaging of hyporheic mixing dynamics within compound bar deposits. Hydrol Process., 35 (9 )

Pryshlak, T. T.; Sawyer, A. H.; Stonedahl, S. H.; and Soltanian, M. R.  (2015). Multiscale hyporheic exchange through strongly heterogeneous sediments. Water Resour. Res., 51 (11 )

Ershadnia, R.; Wallace, C. D.; Hajirezaie, S.; Hosseini, S. A.; Sturmer, D. M.; Dai, Z.; Soltanian, M. R.  (2021). Hydro-thermo-chemo-mechanical modeling of carbon dioxide injection in fluvial heterogeneous aquifers. Chem. Eng. J., 151

Soltanian, M. R.; Ritzi, R. W.; Dai, Z.; Huang, C. C.  (2015). Reactive solute transport in physically and chemically heterogeneous porous media with multimodal reactive mineral facies: The Lagrangian approach. Chemosphere, 122 (3 )

Zhang, G.; Guo, J.; Xu, B.; Xu, L.; Dai, Z.; S,; Soltanian, M. R.  (2021). Quantitative analysis and evaluation of coal mine geological structures based on fractal theory. Energies, 14 (7 )

Soltanian, M. R.; Ritzi, R. W.; C.C,; Dai, Z.  (2015). Relating reactive solute transport to hierarchical and multiscale sedimentary architecture in a Lagrangian-based transport model: 1. Time-dependent effective retardation factor. Water Resour. Res., 51 (3 )

Tonina, D.; McGarr, J. T.; P. J. de Barros, F.; Soltanian, M. R.  (2021). Spatiotemporal dynamics of nitrous oxide emission hotspots in heterogeneous riparian sediments. Water Resour. Res., 57 (12 )

Soltanian, M. R.; Ritzi, R. W.; C.C,; Dai, Z.  (2015). Relating reactive solute transport to hierarchical and multiscale sedimentary architecture in a Lagrangian-based transport model: 2. Particle displacement variance. Water Resour. Res., 51 (3 )

Wallace, C. D.; Soltanian, M. R.  (2021). Surface water-groundwater exchange dynamics in buried-valley aquifer systems. Hydrol Process, 35 (3 )

Soltanian, M. R.; Ritzi, R. W.; Dai, Z.; C.C,; Dominic, D. F.  (2015). Transport of kinetically sorbing solutes in heterogeneous sediments with multimodal conductivity and hierarchical organization across scales. Stoch. Environ. Res. Risk Assess., 29 (3 )

Wang, Q.; Soltanian, M. R.; Liu, J.; Feng, L.; Liu, J.; Peng, S.  (2021). The geochemical behavior of molybdenum in the modern Yangtze Estuary and East China Sea shelf. J. Hydrol, 595 (3 )

Gershenzon, N. I.; Soltanian, M. R.; Ritzi, R. W.; Dominic, D. F.  (2015). Understanding the impact of open-framework conglomerates on waterâ??oil displacements: the Victor interval of the Ivishak Reservoir, Prudhoe Bay Field, Alaska. Pet. Geosci., 11 (1 )

Wallace, C. D.; Soltanian, M. R.  (2021). Underlying riparian lithology controls redox dynamics during stage-driven mixing. J. Hydrol, 595 (3 )

Ritzi, R. W.; Soltanian, M. R.  (2015). What have we learned from deterministic geostatistics at highly resolved field sites, as relevant to mass transport processes in sedimentary aquifers?. J. Hydrol, 122 (11 )

Dai, Z.; Ma, Z.; Zhang, X.; Chen, J.; Ershadnia, R.; Luan, X.; Soltanian, M. R.  (2022). An integrated experimental design framework for optimizing solute transport monitoring locations in a heterogeneous sediment tank. J. Hydrol, 614 (7 )

Soltanian, M. R.; Amooie, M. A.; Dai, Z.; Cole, D.; and Moortgat, J.  (2016). Critical dynamics of gravito-convective mixing in geological carbon sequestration. Sci. Rep., 6 (2 ) , :35921

Dai, Z.; Ma, Z.; Zhang, X.; Chen, J.; Ershadnia, R.; X,; Soltanian, M. R.  (2022). An integrated experimental design framework for optimizing solute transport monitoring locations in heterogeneous sedimentary media. J. Hydrol, 614 (7 )

Moortgat, J.; Amooie, M. A.; and Soltanian, M. R.  (2016). Implicit finite volume and discontinuous Galerkin methods for multicomponent flow in unstructured 3D fractured porous media. Adv. Water Resour., 96 (2 )

Zhan, C.; Dai, Z.; Samper, J.; Yin, S.; Ershadnia, R.; Zhang, X.; Wang, Y.; Yang, Z.; X,; Soltanian, M. R.  (2022). An integrated inversion framework for heterogeneous aquifer structure identification with single-sample generative adversarial network. J. Hydrol, 58 (11 ) , (15)

Soltanian, M. R.; Amooie, M. A.; Cole, D. R.; Graham, D. E.; Hosseini, S. A.; Hovorka, S.; Pfiffner, S. M.; T.J,; Moortgat, J.  (2016). Simulating the Cranfield geological carbon sequestration project with high-resolution static models and an accurate equation of state. Int. J. Greenh. Gas Control., 54 (2 )

Xu, L.; Cai, M.; Dong, S.; Yin, S.; Xiao, T.; Dai, Z.; Y. Soltanian, M. R.  (2022). An upscaling approach to predict mine water inflow from roof sandstone aquifers. J. Hydrol, 58 (9 ) , (15)

Soltanian, M. R.; Amooie, M. A.; Gershenzon, N.; Dai, Z.; Ritzi, R.; Xiong, F.; D.R,; Moortgat, J.  (2017). Dissolution trapping of carbon dioxide in heterogeneous aquifers. Environ. Sci. Technol, 51 (13 ) , :35921

Zhan, C.; Dai, Z.; M.R,; de Barros, F. P.  (2022). Dataâ??worth analysis for heterogeneous subsurface structure identification with a stochastic deep learning framework. Water Resour. Res., 58 (11 ) , (15)

Soltanian, M. R.; Dai, Z.  (2017). Geologic CO2 sequestration: progress and challenges. Geo-Energy and Geo-Resources is Geomech. Geophys., 3 (3 ) , :35921

Ershadnia, R.; Yekta, A.; Mahmoodpour, S.; Singh, M.; Chaudhuri, A.; Soltanian, M. R.  (2022). Hydrogen geological storage in saline aquifers: Effects of geological and operational conditions. Int. J. Hydrog. Energy, 614 (7 )

Amooie, M. A.; Soltanian, M. R.; and Moortgat, J.  (2017). Hydro-thermodynamic mixing of fluids across phases in porous media. Geophys. Res. Lett., 44 (8 ) , :35921

Chen, J.; Dai, Z.; Dong, S.; Zhang, X.; Sun, G.; Wu, J.; Ershadnia, R.; Yin, S.; Soltanian, M. R.  (2022). Integration of deep learning and information theory for designing monitoring networks in heterogeneous aquifer systems. Water Resour. Res., 58(10), blueDOI: 10.1029/2022WR032429., \textbf. Water Resour. Res., 303 (7 )

Dai, Z.; Zhang, Y.; Staffer, P.; Xiao, T.; Zhang, M.; Ampomah, W.; Yang, C.; Zhou, Y.; Ding, M.; R,; Soltanian, M. R.  (2017). Injectivity evaluation for offshore CO2 sequestration in marine sediments. Energy Procedia, 59 (1 ) , :35921

Zhang, W.; Wang, J.; Chen, J.; Soltanian, M. R.; Z,; WoldeGabriel, G.  (2022). Massâ??wastingâ??inferred dramatic variability of 130,000â??year Indian summer monsoon intensity from deposits in the Southeast Tibetan plateau. Geophys. Res. Lett., 58 (11 ) , (15)

Amooie, M. A.; Soltanian, M. R.; Dai, Z.; and Moortgat, J.  (2017). Mixing and spreading of multiphase fluids in heterogeneous bimodal porous media. Geo-Energy and Geo-Resources is Geomech. Geophys., 3 (3 ) , :35921

Yu, Q.; Xu, P.; Dai, Z.; Yin, S.; M.R,; Liu, W.  (2022). Numerical analysis of rock joints in tunnel construction during blasting. Arab. J. Geosci., 15 (1 ) , (15)

Soltanian, M. R.; Dai, Z.; Yang, C.; Amooie, M. A.; and Moortgat, J.  (2017). Multicomponent competitive monovalent cation exchange in hierarchical porous media with multimodal reactive mineral facies. Stoch. Environ. Res. Risk Assess., 29 (3 ) , :35921

Zhang, X.; Wang, Z.; Reimus, P.; Ma, F.; Soltanian, M. R.; Xing, B.; Zang, J.; Dai, Z.  (2022). Plutonium reactive transport in fractured granite: multi-species experiments and simulations. Water Res., 424 (11 ) , p.127550

Ampomah, W.; Rose-Coss, D.; Will, R.; Cather, M.; Dai, Z.; Soltanian, M. R.  (2017). Optimum design of CO2 storage and oil recovery under geological uncertainty. Appl. Energy, 195 (1 ) , :35921

Zhang, X.; Ma, F.; Dai, Z.; Wang, J.; Chen, L.; H,; Soltanian, M. R.  (2022). Radionuclide transport in multi-scale fractured rocks: A review. J. Hazard. Mater., 424 (11 ) , p.127550

Xiong, F.; Jiang, Z.; Li, P.; Wang, X.; Bi, H.; Li, Y.; Wang, Z.; Amooie, M. A.; Soltanian, M. R.; Moortgat, J.  (2017). Pore structure of transitional shales in the Ordos basin, NW China: effects of composition on gas storage mechanism. Fuel, 206 (3 ) , :35921

Jia, S.; Dai, Z.; Yang, Z.; Du, Z.; Zhang, X.; Wang, J.; Chen, L.; Ershadnia, R.; Soltanian, M. R.  (2022). Uncertainty quantification of radionuclide migration in fractured granite. J. Clean. Prod., 366 (7 ) , (15)

Soltanian, M. R.; Sun, A.; Dai, Z.  (2017). Reactive transport in a complex heterogeneous alluvial aquifer of Fortymile Wash, Nevada. Chemosphere, 179 (3 ) , :35921

Ren, W.; Ershadnia, R.; Wallace, C. D.; Dai, Z.; de Barros, F.; Soltanian, M. R.  (2022). Uncertainty quantification of solute spreading and mixing in multiscale heterogeneous media. Water Resour. Res., 58 (9 ) , (15)

F. Wang, X.; Jiang, Z.; Amooie, M. A.; Soltanian, M. R.; Moortgat, J.  (2017). The shale gas sorption capacity of transitional shales in the Ordos basin, NW China. Fuel, 208 (1 ) , :35921

Singh, M.; Dai, Z.; Chen, L.; Shen, X.; Chen, F.; Soltanian, M. R.  (2023). Comparative study on heat extraction from Soultz-sous-Forêts geothermal field using supercritical carbon dioxide and water as the working fluid. Energy, 266 (11 ) , p.127550

Yabusaki, S.; Wilkins, M.; Fang, Y.; Arora, B.; Bouskill, N. J.; Conrad, M. E.; King, E.; Soltanian, M. R.; Versteeg, R.; Waichler, S.; Wainwright, H.  (2017). Water table dynamics and biogeochemical cycling in a shallow, variably-saturated floodplain. Environ. Sci. Technol., 61 (5 ) , :35921

Ren, W.; Soltanian, M. R.; Dai, H.; Dai, Z.  (2023). Global sensitivity analysis of non-reactive and sorptive solute plume dispersion in multiscale heterogeneous sediments. J. Hydrol, 235 (11 ) , p.127550

Zhang, Z.; Wenxiang, Z.; Soltanian, M. R.  (2018). Effectiveness of amino acid salt solutions in capturing CO2: a review. Renewable Sustainable Energy Rev., 98 (4 ) , :35921

Wang, Y.; Zhen, P.; Zhang, W.; Huang, S.; Soltanian, M. R.; Lichtfouse, E.; Zhang, Z.  (2023). Higher efficiency and lower environmental impact of membrane separation for carbon dioxide capture in coal power plants. Environmental Chemistry Letters, 266 (11 ) , p.127550

Yu, Q.; Dai, Z.; Zhang, Z.; Soltanian, M. R.; Yin, S.  (2018). Estimation of sandstone permeability with SEM images based on Fractal theory. Transp. Porous Media, 126 (4 ) , :35921

Chen, W.; Dai, Z.; Samper, J.; Ling, H.; Zhan, C.; Ma, F.; Yang, Z.; Zhang, X.; Soltanian, M. R.  (2023). Impact of reactive mineral facies distributions on radionuclide sorption properties in multiscale heterogeneous granite rocks. Hydrogeology Journal, 424 (11 ) , p.127550

Dai, Z.; Zhang, Y.; Belicki, J. M.; Zhang, M.; Yang, C.; Zhou, Y.; Ampomah, W.; Xiao, T.; Middleton, R.; Moortgat, J.; Soltanian, M. R.; Stauffer, P.  (2018). Heterogeneity-assisted carbon dioxide storage in marine sediments. Appl. Energy, 225 (5 ) , :35921

Li, P.; Wallace, C. D.; McGarr, T.; Moeini, F.; Soltanian, M. R.  (2023). Investigating key drivers of N2O emissions in heterogeneous riparian sediments: Reactive transport modeling and statistical analysis. Sci. Total Environ., 235 (11 ) , p.127550

Soltanian, M. R.; Amooie, M. A.; Cole, D. R.; Darrah, T.; Graham, D.; Pfiffner, S.; Phelps, T.; and Moortgat, J.  (2018). Impact of methane on carbon dioxide storage in brine formations. Groundwater, 56 (2 ) , :35921

Zhang, X.; Cai, F.; Ma, F.; Reimus, P.; Qi, L.; Lu, D.; Soltanian, M. R.; Dai, Z.  (2023). Investigating the role of Na-bentonite colloids in facilitating Sr transport in granite minerals through column experiments and modeling. Journal of Hazardous Materials, 239 (1 ) , p.127550

Soltanian, M. R.  (2018). Numerical investigation of stress distributions in stope backfills. Periodica Polytechnica Civil Engineering, blueDOI:10.3311/PPci.11295. \subsection. Before joining University of Cincinnati, 225 (5 ) , :35921

Robinson, V.; Ershadnia, R.; Soltanian, M. R.; Rasoulzadeh, M.; Guthrie, G. M.  (2023). Long short-term memory model for predicting groundwater level in Alabama. J. Am. Water Resour. Assoc., 235 (11 ) , p.127550

Amooie, M. A.; Soltanian, M. R.; and Moortgat, J.  (2018). Solutal convection in porous media: Comparison between boundary conditions of constant concentration and constant flux. Phys. Rev. E, 98 (5 ) , :35921

Zhan, C.; Dai, Z.; Soltanian, M. R.; and Zhang, X.  (2023). Stageâ??wise stochastic deep learning inversion framework for subsurface sedimentary structure identification. Geophys. Res. Lett., 49 (1 ) , p.127550

Soltanian, M. R.; Amooie, M. A.; Cole, D. R.; Graham, D.; Pfiffner, S.; Phelps, T.; and Moortgat, J.  (2018). Transport of perfluorocarbon tracers in the Cranfield geological carbon sequestration project. Greenh. Gases: Sci. Technol., 8 (4 ) , :35921

Zhan, C.; Dai, Z.; Yang, Z.; Zhang, X.; Ma, Z.; Thanh, H. V.; Soltanian, M. R.  (2023). Subsurface sedimentary structure identification using deep learning: A review. Earth Sci Rev., 239 (1 ) , p.127550

Hoteit, H.; Soltanian, M. R.  (2019). Assessment of CO2 injectivity during sequestration in depleted gas reservoir. Geosciences, 9 (4 ) , (5)

Jia, S.; Dai, Z.; Zhou, Z.; Ling, H.; Yang, Z.; Qi, L.; Wang, Z.; Zhang, X.; Thanh, H. V.; Soltanian, M. R.  (2023). Upscaling dispersivity for conservative solute transport in naturally fractured media. Water Res., 235 (11 ) , p.127550

Mahmoodpour, S.; Rostami, B.; Soltanian, M. R.  (2019). Convective dissolution of carbon dioxide in deep saline aquifers: Insights from engineering a high-pressure porous Hele-Shaw cell. Physical Review Applied, 12, blue. Geosciences, 9 (4 ) , (5)

Bu, X.; Dai, H.; Yuan, S.; Ye, M.; Dai, Z.; Soltanian, M. R.; Wen, Z.; Guadagnini, A.  (2024). A New Efficient Approach to Model Stiff Biogeochemical Reactive Transport Scenarios Across Groundwater Systems. Water Resour. Res., 54 (1 ) , 101897

Amooie, M. A.; Hemmati-Sarapardeh, H.; Karan, K.; Husein, M. M.; Soltanian, M. R.; Dabir, B.  (2019). Data-driven modeling of interfacial tension in impure CO2-brine systems with implications for geological carbon storage. Int. J. Greenh. Gas Control., 90 (4 ) , :35921

Jia, S.; Yu, Q.; Yin, H.; Dai, Z.; Yin, S.; Kong, Y.; Thanh, H. V.; Soltanian, M. R.  (2024). Analysis of damage evolution and mesoscopic damage constitutive model of granite under freeze--thaw cycling. Bull. Eng. Geol. Environ., 83 (1 ) , 236

Mahmoodpour, S.; Rostami, B.; Soltanian, M. R.  (2019). Effect of brine composition on onset of convection during dissolution of CO2 in brine. Comput Geosci, 124 (4 ) , (5)

Thanh, V.; Dai, Z.; Du, Z.; Yin, H.; Yan, B.; Soltanian, M. R.; Xiao, T.; McPherson, B.; Abualigah, L.  (2024). Artificial intelligence-based prediction of hydrogen adsorption in various kerogen types: Implications for underground hydrogen storage and cleaner production. Int. J. Hydrog. Energy, 639 (1 ) , 1382444

Dai, Z.; Zhan, C.; Soltanian, M. R.; R.W,; Zhang, X.  (2019). Identifying spatial correlation structure of multimodal permeability in hierarchical media with Markov Chain approach. J. Hydrol, 568 (4 ) , :35921

Zhan, C.; Dai, Z.; Yin, S.; Carroll, K. C.; Soltanian, M. R.  (2024). Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence. Water Research, 62 (1 ) , 4510417

Pescimoro, E.; Boano, F.; Sawyer, A.; Soltanian, M. R.  (2019). Modeling influence of sediment heterogeneity on nutrient cycling in streambeds. Water Resour. Res., 55 (5 ) , (5)

Soltanian, M. R.; Bemani, A.; Moeini, F.; Ershadnia, R.; Du, Z.; Yin, H.; Dai, Z.  (2024). Data driven simulations for accurately predicting thermodynamic properties of H2 during geological storage. Fuel, 639 (1 ) , 1382444

Soltanian, M. R.; Hajirezaie, S.; Hosseini, S. A.; Dashtian, H.; Meyal, A.; Ershadnia, R.; Ampomah, W.; Islam, A.; Zhang, X.  (2019). Multicomponent reactive transport of carbon dioxide in fluvial heterogeneous aquifers. J. Nat. Gas Eng., 65 (5 ) , (5)

Moeini, F.; Ershadnia, R.; Versteeg, R.; Li, P.; Meyal, A.; Dai, Z.; Soltanian, M. R.  (2024). Employing generative adversarial neural networks as surrogate model for reactive transport modeling in the hyporheic zone. J. Hydrol., 639 (1 ) , 1382444

Ershadnia, R.; Shams, R.; Hajirezaie, S.; Jamshidi, S.; Soltanian, M. R.  (2019). Non-newtonian fluid flow dynamics in rotating annular media: Physics-based and data-driven modeling. Petrol. Science and Engineering, 185 (4 ) , :35921

Soltanian, M. R.  (2024). Environmental risk evaluation for radionuclide transport through natural barriers of nuclear waste disposal with multi-scale streamline approaches. Sci. Total Environ., 639 (1 ) , 1382444

Hajirezaei, S.; Wu, X.; Soltanian, M. R.; Sakha, S.  (2019). Numerical simulation of mineral precipitation in hydrocarbon reservoirs and wellbores. Fuel, 238 (4 ) , :35921

Atreya, G.; Emery, E.; Rogacki, N.; Buck, M.; Soltanian, R.; McAvoy, D.; Ray, P.  (2024). Estimating the influence of water control infrastructure on natural low flow in complex reservoir systems: a case study of the Ohio River. J. Hydrol. Reg. Stud., 54 (1 ) , 101897

Zhang, J.; Zhang, X.; Niu, J.; Soltanian, M. R.; Qiu, H.; Yang, L.  (2019). Prediction of groundwater level in seashore reclaimed land using wavelet and artificial neural network-based hybrid model. J. Hydrol, 577 (5 ) , (5)

Liu, W.; Yin, S.; Thanh, H. V.; Soltanian, M. R.; Yu, Q.; Lian, H.; Yang, S.; Li, Y.; Dai, Z.  (2024). Experimental study and application of similar materials in thick coal seam mining. Front. Energy Res., 12 (1 ) , 1382444

A. H, C. D.; Barnes, R. B.; Soltanian, M. R.; Moore, M. T.  (2020). A model analysis of the tidal engine that drives nitrogen cycling in coastal riparian aquifers. Water Resour. Res., 56 (4 ) , (5)

Du, Z.; Dai, Z.; Yang, Z.; Zhan, C.; Chen, W.; Cao, M.; Thanh, H. V.; Soltanian, M. R.; Dai, Z.  (2024). Exploring hydrogen geologic storage in China for future energy: Opportunities and challenges. Renewable Sustainable Energy Rev., 173 (1 ) , 106136

Estabragh, A. R.; Amini, M.; Soltanian, M. R.  (2020). Aging effects on the swelling behavior of compacted bentonite. Bull. Eng. Geol. Environ., 79 (4 ) , (5)

Cao, M.; Dai, Z.; Jia, S.; Samper, J.; Ling, H.; Du, Z.; Zhan, C.; Yang, Z.; Thanh, H. V.; Soltanian, M. R.  (2024). Identification of solute transport parameters in fractured granites with heterogeneous apertures. J. Hydrol., 633 (1 ) , 130938

Zhang, X.; Chen, J.; Hu, B. X.; So, J.; Zhang, J.; Dai, Z.; Yin, S.; Soltanian, M. R.; Ren, W.  (2020). Application of risk assessment in determination of soil remediation targets. Stoch. Environ. Res. Risk Assess., 34 (4 ) , 103106

Zhao, X.; Chang, Y.; Wu, J.; Wang, F.; Soltanian, M. R.; Dai, Z.  (2024). Identifying transient storage model parameters in karst conduits using the normal-score ensemble smoother with multiple data assimilation. J. Hydrol, 62 (1 ) , 4510417

Sun, Q.; Ampomah, W.; Kutsienyo, E. J.; Appold, M.; Adu-Gyamfi, B.; Dai, Z.; Soltanian, M. R.  (2020). Assessment of CO2 trapping mechanisms in partially depleted oil-bearing sands. Fuel, 278 (6 ) , 103106

Ma, F.; Dai, Z.; Zhang, X.; Cai, F.; Wang, W.; Tian, Y.; Yin, S.; Ma, Y.; Wang, D.; Soltanian, M. R.  (2024). Incorporating cross-scale insights into colloid-facilitated radionuclide transport in fractured rocks: a critical review. Earth-Sci. Rev., 12 (1 ) , 1382444

Wallace, C. D.; Soltanian, M. R.  (2020). CO2 geological sequestration in heterogeneous binary media: Effects of geological and operational conditions. Adv. Geo-Energy Res., 4 (4 ) , 103106

Cao, Y.; Dai, Z.; Zhang, C.; Ding, L.; Yin, S.; Soltanian, M. R.  (2024). Integrated experiments and numerical simulations for chromium (VI) surface complexation in natural unconsolidated sediments. Appl. Geochem., 173 (1 ) , 106136

Soltanian, M. R.; Behzadi, F.; de Barros, F.  (2020). Dilution of non-reactive solutes in heterogeneous porous media with multimodal conductivity and hierarchical organization across scales. J. Hydrol, 587 (6 ) , 103106

Ma, F.; Dai, Z.; Zhang, X.; Hu, Y.; Cai, F.; Wang, W.; Tian, Y.; Soltanian, M. R.  (2024). Quantifying the impact of upscaled parameters on radionuclide transport in three-dimensional fracture-matrix systems. Sci. Total Environ., 12 (1 ) , 1382444

Estabragh, A. R.; Ghayamara, F.; M.R,; Babalar, M.  (2020). Effect of ageing on the properties of a clay soil contaminated with glycerol. Geomech. Geoengin., 79 (4 ) , (5)

Jia, S.; Ma, F.; Yang, Z.; Zhou, Z.; Ling, H.; Lan, T.; Wang, W.; Tian, Y.; Soltanian, M. R.; Dai, Z.  (2024). Retardation factor scaling for contaminant transport in fractured media. Adv. Water Resour., 173 (1 ) , 106136

Zhang, Z.; Soltanian, M. R.; Zhen, P.; Liu, Z.  (2020). Effect of porous media and its distribution on methane hydrate formation in the presence of surfactant. Appl. Energy, 261 (4 ) , 103106

Li, P.; McGarr, J. T.; Moeini, F.; Dai, Z.; Soltanian, M. R.  (2024). Sensitivity analysis and uncertainty quantification of PFAS fate and transport in heterogeneous riparian sediments. ACS Earth Space Chem., 83 (1 ) , 236

Soltanian, M. R.  (2020). Geological carbon sequestration: Mafic rock carbonation using point-source flue gases. Int. J. Greenh. Gas Control., 99 (6 ) , 103106

Carroll, K. C.; Soltanian, M. R.  (2024). Sensitivity of mass flux reduction and mass removal of perfluoroalkyl substances to groundwater flow and transport parameter variability and heterogeneity. Journal of Hydrology, 173 (1 ) , 106136

Dai, Z.; Zhan, C.; Dong, S.; Yin, S.; Zhang, X.; Soltanian, M. R.  (2020). How does resolution of sedimentary architecture data affect plume dispersion in multiscale and hierarchical systems?. J. Hydrol, 582 (4 ) , (5)

Yin, H.; Zhang, G.; Wu, Q.; Cui, F.; Yan, B.; Yin, S.; Soltanian, M. R.; Dai, Z.  (2024). Transfer learning with transformer-based models for mine water inrush prediction: a multivariate analysis using sparse and imbalanced monitoring data. Mine Water Environ., 1 (1 ) , -20

Yu, Q.; Xiong, Z.; Du, C.; Dai, Z.; Soltanian, M. R.; Yin, S.; Liu, W.; Liu, C.; C,; Song, Z.  (2020). Identification of rock pore structures and permeabilities using electron microscopy experiments and deep learning interpretations. Fuel, 268 (4 ) , 103106

McGarr, J. T.; Ford, R.; Li, P.; Kleman, T.; Fields, C.; Trutschel, L.; Fritz, K.; Rowe, A.; Wallace, C. D.; Lupton, L.; Ward, D.; Soltanian, M. R.  (2024). Uncovering the hidden world of riverbed sediments: The role of cross-bar channel fills in hydrogeochemical dynamics of the hyporheic zone. Journal of Hydrology, 12 (1 ) , 1382444

Zhang, X.; Dong, F.; Dai, H.; Hu, B. X.; Qin, G.; Li, D.; Lv, X.; Z,; Soltanian, M. R.  (2020). Influence of lunar semidiurnal tides on groundwater dynamics in estuarine aquifers. Hydrogeol. J., 28 (4 ) , 103106

Yin, H.; Zhang, G.; Wu, Q.; Cui, F.; Yan, B.; Yin, S.; Soltanian, M. R.; Thanh, H. V.; Dai, Z.  (2024). Unraveling overlying rock fracturing evolvement for mining water inflow channel prediction: A spatiotemporal analysis using ConvLSTM image reconstruction. IEEE Trans. Geosci. Remote Sens., 62 (1 ) , 4510417

Liu, Y.; Wallace, C. D.; Zhou, Y. Q.; Ershadnia, R.; Behzadi, F.; Dwivedi, D.; Xue, L.; Soltanian, M. R.  (2020). Influence of streambed heterogeneity on hyporheic flow and sorptive solute transport. Water, 12 (6 ) , (5)

Zhu, L.; Li, S.; Gong, H.; Dai, Z.; Ye, M.; Qian, C.; Soltanian, M. R.  (2025). A Hybrid Numerical Method Incorporating Machine Learning into Groundwater Level Model for Improving Simulation. ACS ES&T Water, 52 (3 ) , e2024GL114298

Hemmati-Sarapardeh, A.; Nait Amar, M.; Soltanian, M. R.; Z,; Zhang, X.  (2020). Modeling CO2 Solubility in water at ultra high pressure and temperature conditions. Energy & Fuels, 34 (4 ) , (5)

Liu, W.; Yin, S.; Thanh, H. V.; Soltanian, M. R.; Yu, Q.; Yang, S.; Li, Y.; Dai, Z.  (2025). Advancements and development trend in statistical damage constitutive models for rock: a comprehensive review. Nat. Hazards, 121 (4 ) , 3703-3744

Hemmati, A.; Hajirezaei, S.; Soltanian, M. R.; Mosavi, A.; Nabipor, N.; Shamshirband, S.; Chau, K.  (2020). Modeling natural gas compressibility factor using a hybrid group of data handling. Eng. Appl. Comput. Fluid Mech., 14 (1 ) , (5)

Khandoozi, S.; Li, P.; Ershadnia, R.; Dai, Z.; Zhang, Z.; Stauffer, P. H.; Mehana, M.; Cole, D. R.; Soltanian, M. R.  (2025). An integrated approach for optimizing geological hydrogen storage. Appl. Energy, 2057 (17 ) , 13

Wallace, C. D.; Sawyer, A.; Soltanian, M. R.; Barnes, R.  (2020). Nitrate removal within heterogeneous riparian zones under tidal influence. Geophys. Res. Lett., 47 (10 ) , 103106

McGarr, J. T.; McAvoy, D. C.; Hobbs, J.; Lupton, L.; Poston, E.; Marsh, T.; Sturmer, D. M.; Dietsch, C.; Soltanian, M. R.  (2025). An integrated approach to mapping per- and polyfluoroalkyl substances sorption in sediments using electromagnetic induction. ACS Earth Space Chem., 61 (6 ) , e2024WR039151

Dai, Z.; Xu, L.; Xiao, T.; McPherson, B.; Zhang, X.; Zheng, L.; Dong, S.; Yang, Z.; Soltanian, M. R.; C,; Ampomah, W.  (2020). Reactive chemical transport simulations of geologic carbon sequestration: Methods and applications. Earth Sci Rev., 208 (4 ) , (5)

Cao, M.; Dai, Z.; Chen, J.; Yin, H.; Zhang, X.; Wu, J.; Soltanian, M. R.  (2025). An integrated framework of deep learning and entropy theory for enhanced high-dimensional permeability field identification in heterogeneous aquifers. Water Res., 268 (1 ) , 122706

Yekta, A.; Salinas, P.; Hajirezaie, S.; Amooie, M. A.; Pain, C. C.; Jackson, M. D.; C,; Soltanian, M. R.  (2020). Reactive transport modeling in heterogeneous porous media with dynamic mesh optimization. Comput. Geosci., 4 (4 ) , 103106

Li, P.; Wallace, C. D.; Soltanian, M. R.  (2025). An open-source solver for partially-saturated flow and multicomponent reactive transport in the hyporheic zone. Environ. Model. Softw., 193 (17 ) , 106583

Ye, K.; Dai, Z.; Zhang, X.; Zhan, C.; Ma, Y.; Wang, D.; Thanh, H. V.; Soltanian, M. R.  (2025). Characterizing seasonal submarine groundwater discharge patterns in Daya Bay, China using thermal infrared remote sensing. Mar. Pollut. Bull., 218 (19 ) , 118188

Liu, P.; Zhang, X.; Soltanian, M. R.; Reimus, P.; Wang, J.; Dai, Z.  (2025). Colloidal facilitated radionuclide transport characterization in preferential flow paths. J. Clean. Prod., 520 (17 ) , 145711

Du, Z.; Dai, Z.; Yin, S.; Dong, S.; Zhang, X.; Yin, H.; Soltanian, M. R.  (2025). Combining machine learning and multi-objective optimization algorithms to optimize key parameters for underground hydrogen storage. Gas Sci. Eng., 2057 (17 ) , 13

Han, G.; Han, W. S.; Piao, J.; Soltanian, M. R.  (2025). CT imaging-based characterization of multiscale pore heterogeneity and fluid flow in sandstone and conglomerate. Geosci. J., 2057 (17 ) , 13

Soltanian, M. R.  (2025). Enhanced prediction and uncertainty analysis for hydrogen production rate in depleted oil and gas reservoirs using advanced machine learning techniques. Geoenergy Science and Engineering, 1001 (6 ) , 180526

Chen, J.; Dai, Z.; Yin, S.; Zhang, M.; Soltanian, M. R.  (2025). Enhancing inverse modeling in groundwater systems through machine learning: a comprehensive comparative study. Hydrol. Earth Syst. Sci., 29 (17 ) , 4251-4279

Soltanian, M. R.; Wallace, C. D.; de Barros, F. P. J.; Dai, Z.; Carroll, K. C.  (2025). Fluid stretching at facies interfaces governs solute transport. Geophys. Res. Lett., 1001 (6 ) , 180526

Xu, L.; Cai, M.; Dai, Z.; Zheng, Z.; Chen, W.; Yin, S.; Zhang, X.; Soltanian, M. R.  (2025). Fractal and NMR based characterizations of multi-scale pore structure alterations in tight sandstones due to scCO2-water--rock interactions. Chem. Eng. J., 508 (6 ) , 160898

Yin, H.; Carroll, K. C.; Yuan, Y.; Jamil, A.; Rucker, D. F.; Dai, Z.; Soltanian, M. R.  (2025). Hybrid vision transformer with convolutional blocks approach for subsurface electrical resistivity tomography inversion. J. Geophys. Res. Mach. Learn. Comput., 2 (4 ) , 118188

Ma, Z.; Qi, L.; Dai, Z.; Yang, Z.; Ma, Y.; Wang, D.; Carroll, K. C.; Soltanian, M. R.  (2025). Impact of multiscale heterogeneous sediments and boundary conditions on dispersivity spatial variations. Water Resour. Res., 61 (6 ) , e2024WR039151

Dai, Z.; Zhan, C.; Yin, H.; Chen, J.; Xu, L.; Xia, Y.; Yang, S.; Chen, W.; Cao, M.; Du, Z.; Soltanian, M. R.  (2025). Incorporating deep learning into hydrogeological modeling: Advancements, challenges, and future directions. J. Geophys. Res.: Mach. Learn. Comput., 29 (17 ) , 4251-4279

Akakuru, O. C.; Ray, P. A.; Soltanian, M. R.; Temgoua, E.; Eyankware, M. O.; Aigbadon, G. O.; Obite, C. P.; Algeo, T. J.; Akingboye, A. S.  (2025). Leveraging novel machine learning models in predicting groundwater irrigation suitability in southeastern Nigeria: A hydrogeochemical approach. Scientific African, 28 (1 ) , e02646

Hosseini, S. A.; Ershadnia, R.; Lun, L.; Morgan, S.; Bennett, M.; Skrivanos, C.; Li, B.; Soltanian, M. R.; Pawar, R.; Hovorka, S. D.  (2025). Procedures and workflows for dynamic modeling of geological carbon dioxide storage in aquifers. Int. J. Greenhouse Gas Control, 2057 (17 ) , 13

Xu, L.; Dai, Z.; Du, Y.; Zhang, X.; Yin, H.; Soltanian, M. R.; Thanh, H. V.; Cai, M.; Carroll, K. C.  (2025). Second-order degradation modeling and multiscale feature fusion for high-fidelity segmentation of low-quality digital rock images. Geophys. Res. Lett., 52 (19 ) , 160898

Wang, Z.; Dai, Z.; Ling, H.; Yin, S.; Dong, S.; Xia, Y.; Thanh, H. V.; Moeini, F.; Soltanian, M. R.; Ma, Y.; Wang, D.  (2025). Sequential framework integrating genetic algorithm and deep learning for multi-dimension fracture network characterization and uncertainty reduction. J. Hydrol., 664 (6 ) , 134530

Xu, L.; Du, Z.; Cai, M.; Yin, S.; Dong, S.; Thanh, H. V.; Carroll, K. C.; Soltanian, M. R.; Dai, Z.  (2025). Sparse data-driven knowledge discovery for interpretable prediction of permeability in tight sandstones. Eng. Geol., 1081 (19 ) , 51

Cao, Y.; Dai, Z.; Wang, H.; Zhang, X.; Soltanian, M. R.; Yin, H.; Carroll, K. C.  (2025). Stepwise identification of geochemical processes and parameters for chromium reactive transport in heterogeneous porous media. ACS Earth Space Chem., 268 (1 ) , 122706

Zhan, C.; Dai, Z.; Soltanian, M. R.; Yin, H.  (2025). Toward artificial general intelligence in hydrogeological modeling with an integrated latent diffusion framework. Geophys. Res. Lett., 52 (3 ) , e2024GL114298

Du, Z.; Xu, L.; Yin, S.; Dong, S.; Dai, Z.; Ma, Y.; Soltanian, M. R.  (2025). Updated multi-layer perceptron algorithm for predicting solute transport parameters and processes in karst conduits with variable flow rates. Environ. Model. Softw., 2057 (17 ) , 13

Moeini, F.; Carroll, K. C.; Dai, Z.; Soltanian, M. R.  (2025). Vadose zone inverse modeling of pneumatic pumping tests at the Hanford Site: Influence of barometric pressure fluctuations. Sci. Total Environ., 1001 (6 ) , 180526

Yang, H.; Dai, Z.; Wang, Z.; Ling, H.; Soltanian, M. R.  (2026). A multi-model framework for risk assessment of high-level radionuclide geological disposal. Ecotoxicol. Environ. Saf., 314 (9 ) , 120053

Zhang, Y.; Cao, M.; Dai, Z.; Wang, H.; Jia, S.; Xu, L.; Zhang, X.; Soltanian, M. R.; Samper Calvete, J.; Yin, H.; Carroll, K. C.  (2026). Advances and challenges in machine learning-based identification of organic pollutant sources in heterogeneous aquifers. J. Environ. Chem. Eng., 14 (3 ) , 122193

Jeon, H.; Han, W. S.; Yang, W.; Han, G.; Kim, K. Y.; Soltanian, M. R.; Dai, Z.  (2026). CO2 exsolution and residual trapping influenced by heterogeneity during imbibition in conglomerates: A core-scale multiphase flow study. Water Resour. Res., 62 (3 ) , e2025WR041879

Xia, Y.; Zhang, C.; Dai, Z.; Wu, J.; Zhang, X.; Yin, H.; Zhu, L.; Zihao, W.; Soltanian, M. R.; Carroll, K. C.  (2026). Combining hydrologic, chemical, and geophysical deep learning-based inversion for heterogeneous aquifer structure identification. J. Hydrol., 559 (9 ) , 148273

Wang, Z.; Dai, Z.; Jia, S.; Ling, H.; Wang, J.; Soltanian, M. R.  (2026). Data dependency in deep learning-based multi-scale fracture system characterization using hydrogeophysical data. Journal of Cleaner Production, 559 (9 ) , 148273

Khandoozi, S.; Gautam, S.; Dietsch, C.; Sahimi, M.; Cole, D.; Soltanian, M. R.  (2026). Heterogeneous wettability alters methane migration and leakage in shallow aquifers. Environ. Sci. Technol., 60 (13 ) , 9991-10000

Ren, W.; Fan, Y.; Pan, A.; Dai, H.; Yang, J.; Soltanian, M. R.; Dai, Z.  (2026). Hierarchical sedimentary architecture governs basin-scale solute dispersion: from pre-asymptotic dynamics to uncertainty propagation. Hydrol. Earth Syst. Sci., 30 (9 ) , 2759-2774

Xia, Y.; Zhang, C.; Wu, J.; Zhang, X.; Yin, H.; Yan, J.; Chen, J.; Wang, Z.; Carroll, K. C.; Soltanian, M. R.; Dai, Z.  (2026). Impact of observation and surrogate-model noises on deep learning-based subsurface heterogeneous structure identification through monitoring network optimization. Adv. Water Resour., 559 (9 ) , 148273

Zhan, C.; Jiao, J. J.; Ma, Y.; Wang, H.; Soltanian, M. R.; Carroll, K. C.; Dai, Z.  (2026). Impacts of validation strategy and geological complexity on machine learning-based subsurface structure modeling. J. Hydrol., 666 (3 ) , 134797

Zhang, Y.; Dai, Z.; Thanh, H. V.; Cao, M.; Xu, L.; Zhang, X.; Yan, B.; Yin, H.; Soltanian, M. R.  (2026). Innovations in underground hydrogen storage with multiphysics simulations, optimization, and monitoring: A review. Earth-Sci. Rev., 14 (3 ) , 122193

Yin, H.; Ikard, S. J.; Rucker, D. F.; Brooks, S. C.; Dai, Z.; Soltanian, M. R.; Carroll, K. C.  (2026). Localization of spatiotemporally heterogeneous subsurface flows using autoencoder-based deep learning framework for time-lapse self-potential tomography. J. Geophys. Res.: Mach. Learn. Comput., 3 (3 ) , 120053

Xu, R.; Gan, Q.; Zhang, F.; Elsworth, D.; Jia, S.; Dai, Z.; Soltanian, M. R.  (2026). Machine learning-guided reactive transport modeling of CO2-water-rock interactions in heterogeneous shale. Geoenergy Sci. Eng., 559 (9 ) , 148273

Liu, H.; Yu, Q.; Yin, S.; Thanh, H. V.; Soltanian, M. R.; Liu, D.; Liu, H.; Ma, Z.; Dai, Z.  (2026). Multi-source data-based deep learning framework with masked loss function for predicting freeze-thaw-induced degradation in geomaterials. Open Geosci., 18 (1 ) , 20250954

Li, B.; Jia, S.; Ma, F.; Soltanian, M. R.; Dai, Z.  (2026). Quantifying the controls on reactive solute transport in multiscale heterogeneous sediments. Stoch. Environ. Res. Risk Assess., 36 (13 ) , 9991-10000

McGarr, J.; McAvoy, D.; Sturmer, D.; Dietsch, C.; Soltanian, M. R.  (2026). Sorption of perfluorooctane sulfonic acid (PFOS) and perfluorooctanoic acid (PFOA) to buried-valley aquifer sediments. Environmental & Engineering Geoscience, 32 (3 ) , 20250954

Research Excellence Award at Wright State University

Graduate Research Award from Geological Society of America

Rank 4 in the Iranian national entrance exam in water structure engineering major

2018 Editor’s Citation for Excellence in Refereeing Water Resources Research, American Geophysical Union

Hydrogeology Journal Editorial Board Member Type:Editorial Service Level:International 2017 -2021

Energies (Editorial Board Member ) Type:Editorial Service 2020 -2023

(Frontiers in Water — Water and Critical Zone ) Editorial Board Member Type:Editorial Service 2019 -2022

Advances in Geo-Energy Research Editorial Board Member Type:Editorial Service 2018 -To Present

Capillarity Editorial Board Member Type:Editorial Service 2021 -To Present

Frontiers in Energy Research — Carbon Capture, Utilization and Storage Editor of Journal Type:Editorial Service 2023 -To Present

Section Editor, Groundwater Modelling (Encyclopedia of Hydrogeology — Springer ) Editorial Board Member Type:Editorial Service 2025 -To Present

Geophysical Research Letters (American Geophysical Union ) Editorial Board Member 2026 -To Present

Hydrogeology Journal (Artificial Intelligence and Hydrogeology ) Editorial Board Member Type:Editorial Service 2026 -To Present

09-01-2015-Bad Format: 20170229 Postdoctoral Researcher The Ohio State University Columbus, OH,

2014 -To Present: The Geological Society of America

2012 -To Present: American Geophysical Union

Academic - University of Cincinnati
Department of Geosciences
Cincinnati  Ohio, 45221-0013
Phone: 513-556-8479
soltanma@ucmail.uc.edu