Personal profile
Biography
Dr. Rabbani completed M. Eng. (Integrated Master’s Degree) in Petroleum Engineering (2014) and Ph.D. in Chemical Engineering (2018) from The University of Manchester. His research focuses on advancing the fundamental understanding of multiphase flow through porous media. Utilizing computer modeling, imaging/visualization, and high-performance computing, his research aims to garner key insights into immiscible fluid physics at the pore scale, then scaling up these observations to continuum scales through mathematical formulation to predict large-scale Earth science problems in energy and the environment. Dr. Rabbani’s efforts in collaboration with various top international research institutes have resulted in high-quality peer-reviewed publications in leading scientific journals. Moreover, Dr. Rabbani has been invited to present key scientific findings of his research at various international and national conferences including InterPore, SPE, and EAGE. In addition, he is also serving as a reviewer for top-notch scientific journals.
Education/Academic qualification
Chemical Engineering, PhD, Pore-scale investigation of wettability effects on two-phase flow in porous media, University of Manchester
Award Date: 18 Jan 2018
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Collaborations and top research areas from the last five years
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EX-QNRF-ARG-261: Multiscale Investigation of Nanoparticle Enhanced CO2 Foam (NECF) in Qatari Carbonate Reservoirs: From Microfluidics to Reservoir-scale with Implications to CO2 Sequestration and Enhanced Oil Recovery
Rabbani, H. S. (Lead Principal Investigator), Hashmet, D. M. R. (Principal Investigator), Seers, D. T. (Principal Investigator), Usman, C. A. (Post Doctoral Fellow) & Muneer, R. M. K. M. (Research Associate)
4/01/24 → 30/09/27
Project: Applied Research
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EX-QNRF-UREP-39: Multiscale investigation of enhanced stabilization of CO2 foam with nanoparticles for improved CO2 utilization: From Bulk to Bubble scale
Rabbani, H. S. (Lead Principal Investigator)
15/01/25 → 15/01/26
Project: Applied Research
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Multi-resolution transfer learning for rapid prediction of pore-scale multiphase flow
Li, H., Pavuluri, S., Rabbani, H. S. & Yan, B., Apr 2026, In: Advances in Water Resources. 210, 105236.Research output: Contribution to journal › Article › peer-review
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Non-destructive quantification of microplastics mobility in soil during saturations-desaturations cycles
Alfarwati, S., Al-Raoush, R. I., Elrahmani, A., Seers, T. D., Hannun, J. A., Chaudhry, A. U. & Rabbani, H. S., May 2026, In: Journal of Hazardous Materials Advances. 22, 17 p., 101147.Research output: Contribution to journal › Article › peer-review
Open Access -
PoreViT: Automated pore typing in carbonate rocks using vision transformers and neighborhood features
Qaiser, Y., Ishaq, M., Yaqoob, M., Ansari, M. Y., Sujay, I., Khan, T., Rabbani, H., Laya, J. C., Moore, P. J. & Seers, T. D., Feb 2026, In: Computers and Geosciences. 207, 106071.Research output: Contribution to journal › Article › peer-review
Open Access -
Advancing paleontology: a survey on deep learning methodologies in fossil image analysis
Yaqoob, M., Ishaq, M., Ansari, M. Y., Qaiser, Y., Hussain, R., Rabbani, H. S., Garwood, R. J. & Seers, T. D., Mar 2025, In: Artificial Intelligence Review. 58, 3, 83.Research output: Contribution to journal › Article › peer-review
Open Access14 Link opens in a new tab Citations (Scopus) -
FluidNet-Lite: Lightweight convolutional neural network for pore-scale modeling of multiphase flow in heterogeneous porous media
Yaqoob, M., Ansari, M. Y., Ishaq, M., Ashraf, U., Pavuluri, S., Rabbani, A., Rabbani, H. S. & Seers, T. D., Jun 2025, In: Advances in Water Resources. 200, 104952.Research output: Contribution to journal › Article › peer-review
Open Access13 Link opens in a new tab Citations (Scopus)