Muhammad Imtiaz Hossain

Assistant Professor

Qualification: B.SC. in Computer Science (Assumption University, Thailand); M.Sc. in Computer Science (King Fahd University of Petroleum & Minerals, Saudi Arabia); Ph.D. (Ongoing, University of Malaya, Malaysia)

Mobile: No Mobile Number

E-mail: imtiaz.kfupm@gmail.com

  1. B.SC. in Computer Science (Assumption University, Thailand)
  2. M.Sc. in Computer Science (King Fahd University of Petroleum & Minerals, Saudi Arabia)
  3. Ph.D. (Ongoing, University of Malaya, Malaysia)

July 2011 to June 2023:

Technical Research Assistant

October 2023 – Now:

Assistant Professor
Department of Computer Science and Engineering
Anwer Khan Modern University, Bangladesh

U.S. PATENTS

  1. Hassan, M. R., Hossain, M. I., Abdulraheem, A., “Geological Formation Permeability Prediction System”, U.S. Patent US20230186126A1, June 15, 2023. (SCOPUS)
  2. Hassan, M. R., Hossain, M. I., “Hidden Markov Model Based Data Ranking for Enhancement of Classifier Performance to Classify Imbalanced Dataset”, U.S. Patent US20230128462A1, April 27, 2023. (SCOPUS)
  3. Hassan, M. R., Hossain, M. I., Abdulraheem, A., “Method for predicting permeability and oil content in a geological formation”, U.S. Patent US10885455B2, January 5, 2021. (SCOPUS)
  4. Hassan, M. R., Hossain, M. I., Abdulraheem, A., “Apparatuses, Systems, and Methodologies for Permeability Prediction”, U.S. Patent US10599987B2, March 24, 2020. (SCOPUS)
  5. Hossain, M. I., El-Basuny, T. A. H., Abdulraheem, A., Elshafei, M., Ghouti, L., Khoukhi, A., Rahman, S. M. and Hassan, M. R., “Method of predicting gas composition.” U.S. Patent US8700549B2, April 15, 2014. (SCOPUS)


JOURNAL ARTICLES

  1. Hassan, M. R., Hassan, M. M., Altaf, M., Yeasar, M. S., Hossain, M. I., Fatema, K., … & Ahmed, A. F. (2021). B5G-enabled distributed artificial intelligence on edges for COVID-19 pandemic outbreak prediction. IEEE Network, 35(3), 48-55. (ISI Impact Factor: 6.8)
  2. Hassan, M. R., Al-Insaif, S., Hossain, M. I., & Kamruzzaman, J. (2018). A machine learning approach for prediction of pregnancy outcome following IVF treatment. Neural Computing and Applications, 1-15. (ISI Impact Factor: 4.5, SCOPUS)
  3. Hassan, M. R., Haque, M. S. M., Hossain, M. I., Hassan, M. M., & Alelaiwi, A. (2019). A novel cascaded deep neural network for analyzing smartphone data for indoor localization. Future Generation Computer Systems, 101, 760-769. (ISI Impact Factor: 6.2)
  4. Hassan, M. R., Mamun, A. A., Hossain, M. I., & Arifuzzaman, M. (2018). Moisture Damage Modeling in Lime and Chemically Modified Asphalt at Nanolevel Using Ensemble Computational Intelligence. Computational Intelligence and Neuroscience, 2018. (ISI Impact Factor: 2.2)
  5. 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, 36(4), 1208-1216. (ISI Impact Factor: 2.2)
  6. 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: 4.5, SCOPUS)
  7. 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: 4.5, SCOPUS)
  8. 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: 1.2, SCOPUS)
  9. 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: 2.5, SCOPUS)
  10. 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: 1.3)
  11. 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

  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.
  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.

Machine Learning, Computational Intelligence, Data Mining, Artificial Intelligence, Deep Learning,
Solving Classification & Prediction problems using novel hybrid and ensemble of Machine Learning models.

Cum Laude – The “Cum Laude” means “With Honor” (Completed B.Sc. degree from Assumption University in Thailand with “Cum Laude” honor).

Updated On:February 05, 2023