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.

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.

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.

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.

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.

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.

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.

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)

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

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

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

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

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

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

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

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

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

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


Here is the list of the peer-reviewed research papers I have had the chance to be a co-author. I have mainly contributed to the image processing or machine learning aspects of these papers.