PROFILE DETAILS
I am very interested in researching the disciplines of Energy, Petroleum and Mining Engineering and contributing to enhancing the quality of human life, which will support the development of diverse communities at both the national and international levels.
Here is some selected information about myself/community involvement:
Secretary, SPE Bangladesh Section (https://www.spe.org/en/section/156) 2022-2025
ORCiD: https://orcid.org/0000-0001-9785-494X
Google Scholar: https://scholar.google.com/citations?user=vlmIi4cAAAAJ&hl=en
Linkedin: https://www.linkedin.com/in/mohammad-islam-miah/
Facebook ID: (https://www.facebook.com/engr.sikder)
Accomplished Research Projects as Principal Investigator (Selective):
1. Thin Beds and Tight Sands Detection, and Reservoir Quality Assessment By Coupling Geophysical Log Data and Gene Expression Programming Technique: A Case Study, Funded by Hydrocarbon Unit, Energy and Mineral Resources Division (2024-2025)
2. Log Data-Based Improved Model for Predicting Water Saturation of Sandstone Reservoir Using Machine Learning Techniques, Funded by Hydrocarbon Unit, Energy and Mineral Resources Division (2023-2024)
3. Prediction of Uniaxial Compressive Strength by Coupling Geomechanical Parameters and Machine Learning Techniques, Prediction of Uniaxial Compressive Strength by Coupling Geomechanical Parameters and Machine Learning Techniques, Funded by Directorate of Research & Extension (DRE), CUET (2023-2024)
4. Hybrid Connectionist Models to Assess Rock Strength Parameters by Coupling Artificial Intelligence and Core/Log Data, University Grants Commission (UGC) of Bangladesh (2022-2023).
5. Hybrid Computational Intelligent Models for Real-Time Prediction of Drilling Rate of Penetration in Unconventional Gas Exploration, Bengal Basin, BANBEIS, MoE.
Fellowship and Awards (Selective)
¡ Awarded the Faculty-wise âBest Research Publication Award-2021â, CUET, Bangladesh
¡ Awarded the Faculty-wise âBest Research Publication Award-2020â, CUET, Bangladesh
¡ Awarded âChevron Canada Rising Star Awardâ, Memorial University, NL, Canada, 2019-2020
¡ Awarded for the âFellow of the School of Graduate Studiesâ, SGS, Memorial University (MUN), Canada, 2019
¡ Received several TA outstanding performance letters from the Faculty of Engineering, MUN, 2018-2019
¡ Teaching Skills Enhancement Program (TSEP): CITL, MUN, Canada, 2017-2018
¡ PhD Research Fellowship from NSERC, RDC, Equinor (Statoil) Canada Ltd. and SGS Baseline, 2016-2019.
Energy & Petroleum, Mining Engineering, Reservoir Characterization, Geomechanics/Rock Mechanics,  Drilling Optimization, Energy Policy- Machine Learning and XAI Application
Postdoctoral Research Fellow (Machine Learning in Rock Mechanics), University of Saskatchewan, CanadaÂ
Ph.D. (Oil and Gas Engineering), Memorial University, Canada;
M.Eng. (Petroleum Engineering), PMRE, BUET;
M.S. in Renewable Energy Technology (Studied 1 year, DU);
B.Sc. (Petroleum and Mining Engineering), PME, SUST;Â
MIEB, MSPE, MIEEE
| Serial No | Title | Authors | Informations | Year |
|---|---|---|---|---|
| 1 | Effects of Petrophysical Parameters on Sedimentary Rock Strength Prediction: Implications of Machine Learning Approaches | Miah, M.I., Elghoul, A., Butt, S.B., & Wiens, S | Applied Sciences, 15(16), 9158; https://doi.org/10.3390/app15169158 | 2025 |
| 2 | Experimental investigation on uniaxial compressive strength of sedimentary rock: A case study in the Chittagong hilly area, Bengal Basin | Miah, M.I., and Rana, M.R. | In AIP Conference Proceedings (Vol. 3307, No. 1). AIP Publishing. https://doi.org/10.1063/5.0263775 | 2025 |
| 3 | Robust Computational Model Development for Permeability Prediction By Coupling Petrophysical Log Data and Extended Genetic Algorithm | Miah, M.I. et al. | International Conference on Electrical, Computer and Communication Engineering (ECCE), 13-15 February 2025, PID-606 (IEEE Xplore Proceedings). | 2025 |
| 4 | Data-Driven Resilient Model Development and Feature Selection for Rock Compressive Strength Prediction Using Machine Learning and Transformer Techniques | Rahman, M.S. and Miah, M.I. | Earth Science Informatics, 18, 293 (2025). https://doi.org/10.1007/s12145-025-01803-2 | 2025 |
| 5 | Extended Genetic Algorithm-Based Improved Model for Drilling Rate of Penetration (ROP) Using Mud Logging Data | Miah, M.I., Reza, M.T., Rahman, M.M., and Alam, M.M. | 8th International Conference on Engineering Research, Innovation and Education (ICERIE 2025) 24-26th April 2025 (PID 887) | 2025 |
| 6 | Natural Fracture Reservoir Zones Identification by Coupling Wireline Log Data and Machine Learning Approach | Datta, G. and Miah, M.I.* | IEEE International Conference on Computing, Applications and Systems (COMPAS), IEEE Xplore, https://ieeexplore.ieee.org/document/10796101 | 2024 |
| 7 | Experimental Study on Rock Strength Parameters for Brittleness Index Evaluation: A Case Study of the Sitakunda Anticline Area, Bengal Basin | Rana, M.R., Miah, M.I.*, and Abir, M.A.N | Journal of Petroleum and Mining Engineering, 10.21608/jpme.2024.298378.1201 | 2024 |
| 8 | Improved Model Development and Feature Ranking for Rock Permeability Prediction by Coupling Petrophysical Log Data and Ensemble Machine Learning Techniques | Miah, M.I., Abir, M.A.N, and Shuvo, M.A.I | Earth Science Informatics, Vol. 18, Springer Nature. https://link.springer.com/article/10.1007/s12145-024-01593-z | 2024 |
| 9 | Gene Expression Programming-Based Gas Reservoir Porosity Prediction | Alam, M.M., and Miah, M.I.* | IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON 2024), PID-112 (IEEE Xplore Proceedings), August 2024, RUET, Bangladesh | 2024 |
| 10 | Model Development for Shear Sonic Velocity Using Geophysical Log Data: Sensitivity Analysis and Statistical Assessment | Miah, M.I., Ahmed, S., Zendehboudi, S. | Journal of Natural Gas Science and Engineering, Volume 88, April 2021 doi.org/10.1016/j.jngse.2020.103778 | 2021 |
| 11 | Improved prediction of shear wave velocity for clastic sedimentary rocks using hybrid model with core data | Miah, M.I. | Journal of Rock Mechanics and Geotechnical Engineering, Elsevier, Volume 13, Issue 6, December 2021, Pages 1466-1477, https://doi.org/10.1016/j.jrmge.2021.06.014 | 2021 |
| 12 | Artificial Neural Network-Based Predictive Model Development for Reservoir Rock Permeability | Miah, M.I., Enayet, A.B., and Ovi, M.A. | Chemical Engineering Research Bulletin, 23, https://doi.org/10.3329/cerb.v23i10.78502 | 2023 |
| 13 | Reservoir Porosity Prediction By Coupling Reservoir Log Data and ANFIS Approach | Lima, T.S. and Miah, M.I. | 7th International Conference on Mechanical Engineering and Renewable Energy (16-17 November, ICMERE 2023, CUET, Bangladesh | 2023 |
| 14 | Modulus of Elasticity Prediction with Machine Learning Techniques in Sandstone Gas Reservoir, Bengal Basin | Miah, M.I. | IEEE 27th International Conference on Computer and Information Technology (ICCIT) 20-22 December 2024, Coxâs Bazar, Bangladesh | 2024 |
| 15 | Enhancing the Drilling Rate of Penetration Prediction by Coupling Mud Logging Data and Gene Expression Programming | Reza, M.T. and Miah, M.I. * | 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), IEE Xplore | 2025 |
| 16 | Harnessing neural network model with optimization for enhanced ciprofloxacin antibiotic adsorption from contaminated water: A transparent and objective framework | Ahmed, Y., Rahman, M. M., Alam, M. S., Miah, M. I.,.... | Journal of Water Process Engineering, 65, 105724. Elsevier. https://doi.org/10.1016/j.jwpe.2024.105724 | 2024 |
| 17 | Predictive Models and Feature Ranking in Reservoir Geomechanics: A Critical Review and Research Guidelines | Miah, M.I. | Journal of Natural Gas Science and Engineering, Volume 82, October 2020, https://doi.org/10.1016/j.jngse.2020.103493 | 2020 |
| 18 | Hybrid Connectionist Models to Assess Recovery Performance of Low Salinity Water Injection | Kondori, J., Miah, M.I., Zendehboudi, S., S., Khan, F., and Heagle, D | Journal of Petroleum Science and Engineering, Volume 197, Elsevier https://doi.org/10.1016/j.petrol.2020.107833 | 2020 |
| 19 | Experimental Study of Rock Size Effects on Tensile Strength Using the Brazilian Test | Miah, M.I., Bormon, T., Iqbal, R., and Abir, M.A.N. | 7th International Conference on Engineering Research, Innovation, and Education-ICERIE2023 | 2023 |
| 20 | Machine Learning Approach to Model Rock Strength: Prediction and Variable Selection with Aid of Log Data | Miah, M.I., Ahmed, S., Zendehboudi, S., and Butt, S. | Rock Mechanics and Rock Engineering Journal, Volume 53, Springer Nature https://doi.org/10.1007/s00603-020-02184-2 | 2020 |
| 21 | Log Data-Driven Model and Feature Ranking for Water Saturation Prediction Using Machine Learning Approach | Miah, M.I., Zendehboudi, S., and Ahmed, S. | Journal of Petroleum Science and Engineering, Vol. 194, 2020, https://doi.org/10.1016/j.petrol.2020.107291 | 2020 |
| 22 | Predictive Model of Water Saturation by Coupling Geophysical Log Data and Machine Learning Approach | Miah, M.I., Biswas, A.K. and Hoque, M.N. | Energy Conference 2023: National and Global Issues (ENCON 23)â, 14-15 December 2023 at IESD, BUET, Bangladesh, Available at SSRN: https://ssrn.com/abstract=4977249 | 2024 |
| 23 | Connectionist and Mutual Information Tools to Determine Water Saturation and Rank Input Log Variables | Miah, M.I., Ahmed, S., and Zendehboudi, S. | Journal of Petroleum Science and Engineering Volume 190, July 2020, 106741 https://doi.org/10.1016/j.petrol.2019.106741 | 2019 |
| 24 | Modeling of Temperature Distribution and Oil Displacement during Thermal Recovery in Porous Media: A Critical Review | Miah, M.I., Elhaj, M.A., Ahmed, S., and Hossain, M.E. | FUEL Journal. Volume 226, 15 August 2018, 423-440, doi.org/10.1016/j.fuel.2018.04.018 | 2018 |
| 25 | Reservoir Properties Analysis Using Core Data of Gas Field | Rahman, B.M.K. and Miah, M.I. | Journal of Nature Science and Sustainable Technology 13 (1), 1-12. | 2019 |
| 26 | State-of-the-Art on Capillary Pressure Hysteresis: Productive Techniques for Better Reservoir Performance | Elhaj, M., Miah, M.I., Hossain, M.E. | Upstream Oil and Gas Technology, Vol 7, September 2021, https://doi.org/10.1016/j.upstre.2021.100040 | 2021 |
| 27 | Porosity Assessment of Gas Reservoir Using Wireline Log Data: A Case Study of Bokabil Formation, Bangladesh | Miah, M.I. | Elsevier Journal of Procedia Engineering 90 (2014) 663-668, DOI: 10.1016/j.proeng.2014.11.789, 28 December, 2014 | 2014 |
| 28 | Structural Interpretation of F. Gas Field | Deb, PK., FM., Miah, M.I. et al. | International Journal of Engineering Geology and Hydrology, JEGH 2014, 2(3):29-36, 08.01.2014, doi:10.12966/jegh | 2014 |
| 29 | Experimental and COSMO-RS Simulation Studies on the Effects of Polyatomic Anions on Clay Swelling | Rahman, M.T., Negash, B.M., Idrish, A., Miah, M.I., and Biswas, I. | Journal of ACS Omega. https://doi.org/10.1021/acsomega.1c03786 | 2021 |
| 30 | Information-Theoretic Measures for Reservoir Characterization | Miah, M.I., Ahmed, S., and Zendehboudi, S. | 68th Canadian Chemical Engineering Conference, October 28-31, Toronto, Canada | 2018 |
| 31 | Prediction of Formation Water Resistivity from Rwa Analysis of a Gas Field Using Wireline Log Data | Miah, M. I. and Howladar, M.F. | Journal of Petroleum and Gas Exploration Research-JPGER, Vol. 2(4), March 2012, pp. 057-060. | 2012 |
| 32 | Application of Memory Concept on Petroleum Reservoir Characterization: A Critical Review | Miah, M. I., Deb, P. K., Rahman,M.S.,and Hossain, M.E. | SPE Kuwait Oil & Gas Show and Conference, Society of Petroleum Engineers. doi:10.2118/187676-MS | 2017 |
| 33 | Natural Gas Properties Analysis of Bangladesh: A Case Study of Titas Gas Field | Miah, M. I. and Howladar, M.F. | SUST Journal of Science and Technology, Vol. 2, No. 2, 2012, pp.26-31. | 2012 |
| 34 | Effect of Varying Permeability on Inflow Performance Curve of Gas Reservoirs. | Kommineni,M.,âŚ.Miah, M. I. | SPE Oil and Gas India Conference and Exhibition, Society of Petroleum Engineers. doi:10.2118/185351-MS | 2017 |
| 35 | Prediction of Two-Phase Flow Rate through Chokes using Artificial Intelligence | Elhaj, M.., Miah, M.I. and Khamis, M.A. | The 28th Annual Newfoundland Electrical and Computer Engineering Conference (NECEC), 19 November 2019, St. Johnâs, NL. | 2019 |
| 36 | Hybrid Connectionist Models to Investigate the Effects on Petrophysical Variables for Permeability Prediction | Miah, M.I. and Abir, M.A.N. | Intelligent Computing & Optimization. Lecture Notes in Networks and Systems Book Series, Vol. 371. pp. 647â656. Springer, Cham. (Editors: Vasant, P., Zelinka, I., Weber, GW.) https://doi.org/10.1007/978-3-030-93247-3_63 | 2022 |
| 37 | PVT Properties of Heavy Oil-A Critical Review | Rahman,M.S., Miah, M. I., Rahman, M. Ahmed, S. and Hossain,M.E. | International Conference on Petroleum Engineering 2016, 31 December, BUET, Bangladesh | 2016 |
| 38 | Hydrocarbon Saturation Assessment of Thick Shaly Sand Reservoir Using Wireline Log Data: A Case Study | Miah, M. I. and Tamim, M. | 10th International Forum on Strategic Technology (IFOST), 3-5 June 2015, Bali, Indonesia, pp. 240-244 | 2015 |