PROFILE DETAILS

Dr. Mohammad Islam Miah
Dr. Mohammad Islam Miah
Professor
E-mail Address

islam.m@cuet.ac.bd

About Myself

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.

Field of Interest

Energy and Petroleum Engineering, Reservoir Characterization, Drilling Geomechanics, Rock Mechanics & Mining, Energy Policy- Machine Learning and AI Application


Qualification

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


Publications
Serial NoTitleAuthorsInformationsYear
1Modulus of Elasticity Prediction with Machine Learning Techniques in Sandstone Gas Reservoir, Bengal BasinMiah, M.I.IEEE 27th International Conference on Computer and Information Technology (ICCIT) 20-22 December 2024, Cox’s Bazar, Bangladesh2024
2Natural Fracture Reservoir Zones Identification by Coupling Wireline Log Data and Machine Learning ApproachDatta, G. and Miah, M.I.*IEEE International Conference on Computing, Applications and Systems (COMPAS), IEEE Xplore, DOI: 10.1109/COMPAS60761.2024.107961012024
3Experimental Study on Rock Strength Parameters for Brittleness Index Evaluation: A Case Study of the Sitakunda Anticline Area, Bengal BasinRana, M.R., Miah, M.I.*, and Abir, M.A.NJournal of Petroleum and Mining Engineering, 10.21608/jpme.2024.298378.12012024
4Gene Expression Programming-Based Gas Reservoir Porosity PredictionAlam, 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, Bangladesh2024
5Data-Driven Resilient Model Development and Feature Selection for Rock Compressive Strength Prediction Using Machine Learning and Transformer TechniquesRahman, M.S. and Miah, M.I.Earth Science Informatics (Accepted)2025
6Improved prediction of shear wave velocity for clastic sedimentary rocks using hybrid model with core dataMiah, M.I.Journal of Rock Mechanics and Geotechnical Engineering, Elsevier2021
7Model Development for Shear Sonic Velocity Using Geophysical Log Data: Sensitivity Analysis and Statistical AssessmentMiah, M.I., Ahmed, S., Zendehboudi, S.Journal of Natural Gas Science and Engineering, Volume 88, April 2021 doi.org/10.1016/j.jngse.2020.1037782021
8Experimental Study of Rock Size Effects on Tensile Strength Using the Brazilian TestMiah, M.I., Bormon, T., Iqbal, R., and Abir, M.A.N.7th International Conference on Engineering Research, Innovation, and Education-ICERIE20232023
9Improved Model Development and Feature Ranking for Rock Permeability Prediction by Coupling Petrophysical Log Data and Ensemble Machine Learning TechniquesMiah, M.I., Abir, M.A.N, and Shuvo, M.A.IEarth Science Informatics, Vol. 18, Springer Nature. https://link.springer.com/article/10.1007/s12145-024-01593-z2024
10Predictive Models and Feature Ranking in Reservoir Geomechanics: A Critical Review and Research GuidelinesMiah, M.I.Journal of Natural Gas Science and Engineering, Volume 82, October 2020, https://doi.org/10.1016/j.jngse.2020.1034932020
11Harnessing neural network model with optimization for enhanced ciprofloxacin antibiotic adsorption from contaminated water: A transparent and objective frameworkAhmed, Y., Rahman, M. M., Alam, M. S., Miah, M. I.,....Journal of Water Process Engineering, 65, 105724. Elsevier2024
12Hybrid Connectionist Models to Assess Recovery Performance of Low Salinity Water InjectionKondori, J., Miah, M.I., Zendehboudi, S., S., Khan, F., and Heagle, DJournal of Petroleum Science and Engineering, Volume 197, Elsevier https://doi.org/10.1016/j.petrol.2020.1078332020
13Data-Driven Predictive Models for Modulus of Elasticity with Machine Learning Techniques in Sandstone Gas ReservoirDatta, G., and Miah, M.I.IEEE Conference on Computing, Applications and Systems (COMPAS 2024), ID 191, 25-26 September 20242024
14Machine Learning Approach to Model Rock Strength: Prediction and Variable Selection with Aid of Log DataMiah, M.I., Ahmed, S., Zendehboudi, S., and Butt, S.Rock Mechanics and Rock Engineering Journal, Volume 53, Springer Nature https://doi.org/10.1007/s00603-020-02184-22020
15Log Data-Driven Model and Feature Ranking for Water Saturation Prediction Using Machine Learning ApproachMiah, M.I., Zendehboudi, S., and Ahmed, S.Journal of Petroleum Science and Engineering, Vol. 194, 2020, https://doi.org/10.1016/j.petrol.2020.1072912020
16Predictive Model of Water Saturation by Coupling Geophysical Log Data and Machine Learning ApproachMiah, 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, Bangladesh2023
17Connectionist and Mutual Information Tools to Determine Water Saturation and Rank Input Log VariablesMiah, 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.2019.1067412019
18Modeling of Temperature Distribution and Oil Displacement during Thermal Recovery in Porous Media: A Critical ReviewMiah, 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.2018.04.0182018
19State-of-the-Art on Capillary Pressure Hysteresis: Productive Techniques for Better Reservoir PerformanceElhaj, M., Miah, M.I., Hossain, M.E.Upstream Oil and Gas Technology, Vol 7, September 2021, https://doi.org/10.1016/j.upstre.2021.1000402021
20Reservoir Properties Analysis Using Core Data of Gas FieldRahman, B.M.K. and Miah, M.I.Journal of Nature Science and Sustainable Technology 13 (1), 1-12.2019
21Porosity Assessment of Gas Reservoir Using Wireline Log Data: A Case Study of Bokabil Formation, BangladeshMiah, M.I.Elsevier Journal of Procedia Engineering 90 (2014) 663-668, DOI: 10.1016/j.proeng.2014.11.789, 28 December, 20142014
22Structural Interpretation of F. Gas FieldDeb, 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/jegh2014
23Prediction of Formation Water Resistivity from Rwa Analysis of a Gas Field Using Wireline Log DataMiah, M. I. and Howladar, M.F.Journal of Petroleum and Gas Exploration Research-JPGER, Vol. 2(4), March 2012, pp. 057-060.2012
24Information-Theoretic Measures for Reservoir CharacterizationMiah, M.I., Ahmed, S., and Zendehboudi, S.68th Canadian Chemical Engineering Conference, October 28-31, Toronto, Canada2018
25Experimental and COSMO-RS Simulation Studies on the Effects of Polyatomic Anions on Clay SwellingRahman, M.T., Negash, B.M., Idrish, A., Miah, M.I., and Biswas, I.Journal of ACS Omega doi.org/10.1021/acsomega.1c037862021
26Application of Memory Concept on Petroleum Reservoir Characterization: A Critical ReviewMiah, 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-MS2017
27Natural Gas Properties Analysis of Bangladesh: A Case Study of Titas Gas FieldMiah, M. I. and Howladar, M.F.SUST Journal of Science and Technology, Vol. 2, No. 2, 2012, pp.26-31.2012
28Effect 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-MS2017
29Prediction of Two-Phase Flow Rate through Chokes using Artificial IntelligenceElhaj, 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
30Hybrid Connectionist Models to Investigate the Effects on Petrophysical Variables for Permeability PredictionMiah, 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_632022
31PVT Properties of Heavy Oil-A Critical ReviewRahman,M.S., Miah, M. I., Rahman, M. Ahmed, S. and Hossain,M.E.International Conference on Petroleum Engineering 2016, 31 December, BUET, Bangladesh2016
32Hydrocarbon Saturation Assessment of Thick Shaly Sand Reservoir Using Wireline Log Data: A Case StudyMiah, M. I. and Tamim, M.10th International Forum on Strategic Technology (IFOST), 3-5 June 2015, Bali, Indonesia, pp. 240-2442015