PROFILE DETAILS
islam.m@cuet.ac.bd
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) Since 2022
ORCiD: https://orcid.org/0000-0001-9785-494X
Scopus Author ID: 56524978300 (https://scholar.google.com/citations?user=tlot6AcAAAAJ&hl=en)
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,
Fellowship and Awards (Selective)
· Awarded the Faculty-wise “Best Research Publication Award-2021”, CUET, Bangladesh
· Awarded the Faculty-wise “Best Research Publication Award-2020”, CUET, Bangladesh
· Awarded “Chevron Canada Rising Star Award”, Memorial University, NL, Canada, 2019-2020
· Awarded for the ‘Fellow of the School of Graduate Studies’, 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 and Petroleum Engineering, Reservoir Characterization, Drilling Geomechanics, Rock Mechanics & Mining, Energy Policy- Machine Learning and AI Application
Postdoctoral Research Fellow (Machine Learning in Rock Mechanics), University of Saskatchewan, Canada
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;
MIEEE, MSPE
Serial No | Title | Authors | Informations | Year |
---|---|---|---|---|
1 | 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, Cox’s Bazar, Bangladesh | 2024 |
2 | 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, DOI: 10.1109/COMPAS60761.2024.10796101 | 2024 |
3 | 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 |
4 | 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 |
5 | 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 (Accepted) | 2025 |
6 | 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 | 2021 |
7 | 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 |
8 | 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 |
9 | 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 |
10 | 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 |
11 | 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 | 2024 |
12 | 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 |
13 | Data-Driven Predictive Models for Modulus of Elasticity with Machine Learning Techniques in Sandstone Gas Reservoir | Datta, G., and Miah, M.I. | IEEE Conference on Computing, Applications and Systems (COMPAS 2024), ID 191, 25-26 September 2024 | 2024 |
14 | 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 |
15 | 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 |
16 | 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)“, 14-15 December 2023 at IESD, BUET, Bangladesh | 2023 |
17 | 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 |
18 | 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 |
19 | 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 |
20 | 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 |
21 | 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 |
22 | 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 |
23 | 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 |
24 | 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 |
25 | 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 doi.org/10.1021/acsomega.1c03786 | 2021 |
26 | 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 |
27 | 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 |
28 | Effect of Varying Permeability on Inflow Performance Curve of Gas Reservoirs. | Kommineni,M.,….Miah, M. I. | SPE Oil and Gas India Conference and Exhibition, Society of Petroleum Engineers. doi:10.2118/185351-MS | 2017 |
29 | 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. John’s, NL. | 2019 |
30 | 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. 647–656. Springer, Cham. (Editors: Vasant, P., Zelinka, I., Weber, GW.) https://doi.org/10.1007/978-3-030-93247-3_63 | 2022 |
31 | 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 |
32 | 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 |