Publications

Patents

2017
1. Hassan, M. R., BuSaleh Y. R., Hossain, M. I., Abdulraheem, A., Okasha, T., “A New Algorithm for Curve Prediction with Application to Capillary Pressure Analysis using Core Data”, U.S. Patent, Patent Applied,2016

2016
2. Hassan, M. R., Hossain, M. I., Abdulraheem, A., “Apparatuses, Systems, and Methodologies for Permeability Prediction”, U.S. Patent application no. 15/210301, Patent Pending, 2014

2014
3. Hossain, M. I., El-Basuny, T. A. H., Abdulraheem, A., Elshafei, M., Ghouti, L., Khoukhi, A., Rahman, S. M. and Hassan, M. R., King Fahd University of Petroleum & Minerals, "Method of predicting gas composition." U.S. Patent 8700549, April 15, 2014. (SCOPUS)

Journal Articles

2017
1. Rahman, S. M., Khondaker, A. N., Hossain, M. I., Shafiullah, M., & Hasan M. A. (2017). Neurogenetic Modeling of Energy Demand in the United Arab Emirates, Saudi Arabia, and Qatar. Environmental Progress & Sustainable Energy. (ISI Impact Factor: 1.631)

2. Arifuzzaman, M., Islam, M. S., & Hossain, M. I. (2017). Moisture damage evaluation in SBS and lime modified asphalt using AFM and artificial intelligence. Neural Computing and Applications, 28(1), 125-134. (ISI Impact Factor: 1.492, SCOPUS)

2015
3. Helmy, T., Hossain, M. I., Adbulraheem, A., Rahman, S. M., Hassan, M. R., Khoukhi, A., & Elshafei, M. (2015). Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models. Neural Computing and Applications, 1-15. (ISI Impact Factor: 1.492, SCOPUS)

2014
4. Razzak, S. A., Hossain, M. I., Rahman, S. M., & Hossain, M. M. (2014). Application of Support Vector Machine Modeling on Phase Distribution in the Riser of an LSCFB Reactor. International Journal of Chemical Reactor Engineering, 12(1), 123-134. (ISI Impact Factor: 0.759, SCOPUS)

2013
5. Helmy, T., Rahman, S., Hossain, M. I., & Abdelraheem, A. (2013). Non-linear heterogeneous ensemble model for permeability prediction of oil reservoirs. Arabian Journal for Science & Engineering (Springer Science & Business Media BV), 38(6), 1379-1395. (ISI Impact Factor: 0.728, SCOPUS)

6. Elish, M. O., Helmy, T., & Hussain, M. I. (2013). Empirical study of homogeneous and heterogeneous ensemble models for software development effort estimation. Mathematical Problems in Engineering, 2013. (ISI Impact Factor: 0.644)

7. Ahmed, A., Hossain, M. I., Rahman, M. T., & Chowdhury, M. A. I. (2013). Application of Artificial Neural Network Models for Predicting Dissolved Oxygen Concentration for Surma River, Bangladesh. Journal of Applied Technology in Environmental Sanitation, 3(3).

Conference Proceedings

2012
1. Hossain, M. I., & Faisal, K. A. (2012). Transition Initiation Sites (TIS) Recognition in DNA Sequence using Machine Learning. Proceedings of the 2012 International Conference on Bioinformatics & Computational Biology, BIOCOMP'12, Las Vegas, Nevada, July 16-19, 2012.

2011
2. Hossain, M. I., Helmy, T., Hassan, M. R., Adbulraheem, A., & Elshafei, M. (2011). Non-Hydrocarbons Prediction in Multistage Separator using Neural network. Proceedings of the 5th Global Conference on Power Control and Optimization, Dubai, 2011.