36- Yaqoob, M., Ansari, M. Y., Ishaq, M., Ashraf, U., Pavuluri, S., Rabbani, A.,Rabbani, ... & Seers, T. D. (2025). FluidNet-Lite: Lightweight convolutional neural network for pore-scale modeling of multiphase flow in heterogeneous porous media. Advances in Water Resources, 104952.
(Link)

35- Mohammadi, M. H., Abbasi, H. R., Rabbani, A., Theodoropoulos, C., & Babaei, M. (2025). Performance prediction of Solid Oxide Cells (SOC) by ex-situ characterization of electrodes and physical modelling. Journal of Power Sources, 632, 236225.
(Link)

34- Talebi, F. A., Rabbani, A., Mehrabi, M., Stockdale, A., Harbottle, D., Pasha, M., & Hassanpour, A. (2025). Dynamic adhesion measurement of powders using the drop testing method: Defining a window of operation. Powder Technology, 453, 120605.
(Link)

33- Rabbani, A., Sadeghkhani, A., Holland, A., Besharat, M., Fang, H., Babaei, M., & Barrera, O. (2025). Structure–property relationships in fibrous meniscal tissue through image-based augmentation. Philosophical Transactions A, 383(2292), 20240225.
(Link)

32- Abbasi, H. R., Rabbani, A., Babaei, M., & Theodoropoulos, C. (2025). A Pore-Scale Computational Framework for Enhancing Solid Oxide Fuel Cell Performance through the Design of Anode Porous Configurations. Journal of The Electrochemical Society.
(Link)

31- Taghavinejad, A., Rabbani, A., Falcone, G., Shang, J., Arif, M., & Zhang, Y. (2025). Pore network modelling of CO2-shale interaction for carbon storage: Swelling effect and fracture permeability. International Journal of Greenhouse Gas Control, 141, 104294.
(Link)

30- Kanesalingam, B., Fernando, W. A. M., Jayawardena, C., Attygalle, D., Amarasinghe, D. A. S., Rabbani, A., & Panda, S. (2025). Shedding Electrons on Cenospheres: Advancing Characterization Through X‐ray Micro‐Analysis. ChemistrySelect, 10(1), e202400480.
(Link)

29- Ge, Y., Husmeier, D., Rabbani, A., & Gao, H. (2025). Advanced statistical inference of myocardial stiffness: A time series Gaussian process approach of emulating cardiac mechanics for real-time clinical decision support. Computers in Biology and Medicine, 184, 109381.
(Link)

28- Ghasemi, M., Omrani, S., Rabbani, A., Sarkisov, L., & Babaei, M. (2024). Shape engineering for improved gas separation: Computation-driven insights on harnessing platonic particles in mixed-matrix membranes. Journal of Membrane Science, 702, 122793.
(Link)

27- Boumedjane, M., Al-Maamari, R. S., Rabbani, A., & Karimi, M. (2024). Real-Time Pore-Scale Investigation of the Effects of Uniform, Random, and Heterogenous Porous Structures on Intrinsic Permeability Using Two-Dimensional Microfluidic Chips. Energy & Fuels, 38(7), 5700-5713.
(Link)

26- Waghorne, J., Bonomo, F. P., Rabbani, A., Bell, D., & Barrera, O. (2024). On the characteristics of natural hydraulic dampers: An image-based approach to study the fluid flow behaviour inside the human meniscal tissue. Acta Biomaterialia, 175, 157-169.
(Link)

25- Rabbani, A. (2023). Superpixels pore network extraction for geological tomography images. Advances in Water Resources, 182, 104582.
(Link)

24- Chen, X., Yang, J., Ma, L., Rabbani, A., & Babaei, M. (2023). Predicting 3D physical properties from a single 2D slice based on convolutional neural networks: 2D‐Slice‐To‐3D‐Properties for porous rocks. Water Resources Research, 59(9), e2023WR035521.
(Link)

23- Chamani, H., Rabbani, A., Russell, K. P., Zydney, A. L., Gomez, E. D., Hattrick-Simpers, J., & Werber, J. R. (2023). Data-science-based reconstruction of 3-D membrane pore structure using a single 2-D micrograph. Journal of Membrane Science, 678, 121673.
(Link)

22- Rabbani, A., Sun, C., Babaei, M., Niasar, V. J., Armstrong, R. T., & Mostaghimi, P. (2023). DeepAngle: Fast calculation of contact angles in tomography images using deep learning. Geoenergy Science and Engineering, 227, 211807.
(Link)

21- Jing, Y., Rabbani, A., Armstrong, R. T., Wang, J., Zhang, Y., & Mostaghimi, P. (2022). An image-based coal network model for simulating hydro-mechanical gas flow in coal: An application to carbon dioxide geo-sequestration. Journal of Cleaner Production, 134647.
(Link)

20- Qie, Z., Rabbani, A., Liang, Y., Sun, F., Behnsen, J., Wang, Y., ... & Fan, X. (2022). Multiscale investigation of pore network heterogeneity and permeability of fluid catalytic cracking (FCC) particles. Chemical Engineering Journal, 440, 135843.
(Link)

19- Rabbani, A., Fernando, A. M., Shams, R., Singh, A., Mostaghimi, P., & Babaei, M. (2021). Review of Data Science Trends and Issues in Porous Media Research With a Focus on Image‐Based Techniques. Water Resources Research, 57(10), e2020WR029472.
(Link)

18-Rabbani, A., Shams, R., & Babaei, M. (2020). DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials. arXiv preprint arXiv:2005.03759.
(Link)

17- Fernando, W. A. M., Ilankoon, I. M. S. K., Rabbani, A., & Yellishetty, M. (2020). Inter-particle fluid flow visualisation of larger packed beds pertaining to heap leaching using X-ray computed tomography imaging. Minerals Engineering, 151, 106334.
(Link)

16- Menon, M., Mawodza, T., Rabbani, A., Blaud, A., Lair, G. J., Babaei, M., ... & Banwart, S. (2020). Pore system characteristics of soil aggregates and their relevance to aggregate stability. Geoderma, 366, 114259.
(Link)

15- Rabbani, A., Babaei, M., & Javadpour, F. (2020). A Triple Pore Network Model (T-PNM) for Gas Flow Simulation in Fractured, Micro-porous and Meso-porous Media. Transport in Porous Media, 1-34.
(Link)

14- Aminnaji, M., Rabbani, A., J. Niasar, V., & Babaei, M. (2019). Effects of pore‐scale heterogeneity on macroscopic NAPL dissolution efficiency: A two‐scale numerical simulation study. Water Resources Research.
(Link)

13- Baychev, T. G., Jivkov, A. P., Rabbani, A., Raeini, A. Q., Xiong, Q., Lowe, T., & Withers, P. J. (2019). Reliability of Algorithms Interpreting Topological and Geometric Properties of Porous Media for Pore Network Modelling. Transport in Porous Media, 1-31.
(Link)

12- Rabbani, A., & Babaei, M. (2019). Hybrid pore-network and lattice-Boltzmann permeability modelling accelerated by machine learning. Advances in Water Resources, 126, 116-128.
(Link)

11- Arash Rabbani, Peyman Mostaghimi, Ryan Armstrong, Rabbani, A., Mostaghimi, P., & Armstrong, R. T. (2018). Pore network extraction using geometrical domain decomposition. Advances in Water Resources ,pp. 70-83 (2018)
(Link)

10 - Arash Rabbani, Todor Bychev, Shahab Ayatollahi, Andrey Jivkov, Evolution of pore-scale morphology of oil shale during pyrolysis - a quantitative analysis, Journal of Transport in Porous Media, pp. 1-20. 2017
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9 - Arash Rabbani, Ali Assadi, Riyaz Kharrat, Nader Dashti, Shahab Ayatollahi, Estimation of carbonates permeability using pore network parameters extracted from thin section images and comparison with experimental data, Journal of Natural Gas Science and Engineering (42), 85-98. 2017
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8 - Arash Rabbani, Saeed Salehi, Dynamic modeling of the formation damage and mud cake deposition using filtration theories coupled with SEM image processing, Journal of Natural Gas Science and Engineering (42), 157-168. 2017
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7 - Mohammad-Reza Rokhforouz, Arash Rabbani, Shahab Ayatollahi, Vahid Taghikhani, Numerical analysis of heat conduction treated with highly conductive copper oxide nanoparticles in porous media, Special Topics & Reviews in Porous Media: An International Journal, 7 (2), 149–160. 2017
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6 - Arash Rabbani, Shahab Ayatollahi, Riyaz Kharrat, Nader Dashti, Estimation of 3-D pore network coordination number of rocks from watershed segmentation of a single 2-D image, Advances in Water Resources (94), 264–277. 2016
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5 - Arash Rabbani, Shahab Ayatollahi, Comparing three image processing algorithms to estimate the grain-size distribution of porous rocks from binary 2d images and sensitivity analysis of the grain overlapping degree, Special Topics & Reviews in Porous Media: An International Journal 6 (1), 71-89. 2015
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4 - Arash Rabbani, Mohammad Hossein Ghazanfari, and Mahmood Amani. Asphaltene Formation Damage Stimulation by Ultrasound: An Analytical Approach Using Bundle of Tubes Modeling. Journal of Petroleum Engineering, 804267. 2015
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3 - Arash Rabbani, and Saeid Jamshidi, Specific surface and porosity relationship for sandstones for prediction of permeability, International Journal of Rock Mechanics and Mining Sciences, 71, 25–32. 2014
(Link)

2 - Arash Rabbani, Saeid Jamshidi, and Saeed Salehi, A new automated simple algorithm for realistic pore network extraction from micro-tomography images, Journal of Petroleum Science and Engineering, 123, 164–171. 2014
(Link)

1 - Arash Rabbani, Saeid Jamshidi, and Saeed Salehi. Determination of specific surface of rock grains by 2D imaging. Journal of Geological Research, 945387. 2014
(Link)