Teacher Detail

Merajul Islam

Area of Interest

Multivariate statistics, Public Health, Bioinformatics, Deep Learning, Machine Learning, Artificial Intelligence.

Biography

Biography

Name:Md. Merajul Islam

Designation:Lecturer 

Contact:

Mobile: +88 01762819351
Email: merajul.stat4811@gmail.com

Education:

Level	Institution	Year
MPhil (Masters of Philosophy in Statistics)	University of Rajshahi, Rajshahi-6205, Bangladesh	Continue
Masters (Masters of Science in Statistics)	University of Rajshahi, Rajshahi-6205, Bangladesh	2017
Bachelor/Honors (Bachelor of Science in Statistics)	University of Rajshahi, Rajshahi-6205, Bangladesh	2012

Awards/Achievement:

Ø  “Dean’s Award 2019” for excellent result in B.Sc. (Honor’s)

Ø  “National Science and Technology (NST) fellowship award” for MS research in the year 2018-2019, from Ministry of Science and Technology, Government of the People’s Republic of Bangladesh.

Experience:

Experience in JatiyaKabiNazrul Islam University:

Duration	Organization/Institute	Position
02-11-2021 to continue	Department of Statistics, JatiyaKabiNazrul Islam University, Mymensingh-2224, Bangladesh	Lecturer

Experience in Other Organization/Institute:

Duration	Organization/Institute	Position
01-01-2020 to 31-02-2021	Rajshahi Government City College, Rajshahi, Bangladesh	Lecturer

Publications:

Journal

1.        Maniruzzaman M, Islam MM, Rahman MJ, Hasan MA, Shin J. Risk prediction of diabetic nephropathy using machine learning techniques (Elsevier).: A pilot study with secondary data. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2021:102263.
2.         Islam MM, Rahman MJ, Roy DC, Jahan R, Ahmed NF, Maniruzzaman M. Machine learning algorithm for characterizing risks of hypertension, at an early stage in Bangladesh. Diabetes & Metabolic Syndrome: Clinical Research & Reviews (Elsevier). 2021;15(3):877-84.

3. Ahmed NAMF, Islam MM, Ali M, Maniruzzaman M,Rahman MJ. Stability of Money Demand Function in Bangladesh using Auto-regressive Distributed Lag Approach. Asian Journal of Economics and Finance(ARF INDIA). 2021;3(2): 277-288.
4. Islam MM, Rahman1 MJ,Roy DC, Islam MM, Tawabunnahar M, Ahmed NAMF,Maniruzzaman M. Risk factors identification and prediction of anemia among women in Bangladesh using machine learning techniques. Current Women’s Health Reviews(Bentham Science). 2021; 17:1-16.
5. Tawabunnahar M, Islam MM, Nabila S and Ahmed NAMF. Urban–rural differences in the utilization of maternal healthcare services in Bangladesh. Human Biology Review(Wayne State University Press).2021;10 (1): 87-106.
6. Islam MM,Alam MJ, Ahmed FF, Hasan MMMollah NH. Improved prediction of protein-protein interaction papping on Homo sapiens by using amino acid sequence features in a supervised learning framework. Protein & Peptide Letters(Bentham Science). 2020;27 (1): 1-10.
7. Islam MM, Rahman MJ, Roy DC, Maniruzzaman M. Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approach. Diabetes & Metabolic Syndrome: Clinical Research & Reviews (Elsevier).2020;14(3): 217-219.
8. Islam MM, Rahman MJ, Islam MM, Roy DC, Ahmed NF, Hussain S, Amanullah M, Abedin MM, Maniruzzaman M. Application of machine learning based algorithm for prediction of malnutrition among women in Bangladesh. International Journal of Cognitive Computing in Engineering(Elsevier). 2022;3:46-57.
9. Islam MM, Rahman MJ, Tawabunnahar M, Abedin MM, Maniruzzaman M. Investigate the Effect of Diabetes on Hypertension based on Bangladesh Demography and Health Survey 2017-18. (Preprint).

Conference

1. Islam MM, Rahman MJ, Roy DC, Maniruzzaman M. Automated detection and classification of diabetes disease based on machine learning approach in Bangladesh. Paper EC-048, 7^th International Conference on Data science and SDGs: Challenges, Opportunities and Realities held on December 18-19, 2019, organized by department of statistics university of Rajshahi, Rajshahi-6205, Bangladesh.
2. Islam MM,Tasmia SA,Alam MJ,Ahmed FF, Kabir MH, Mollah MNH.  Computational prediction of PPI mapping on Homo sapiens under the Amino Acid Encoding Scheme. Paper EC-091, 7^th International Conference on Data science and SDGs: Challenges, Opportunities and Realities held on December 18-19, 2019, organized by department of statistics university of Rajshahi, Rajshahi-6205, Bangladesh.
3. Tasmia SA, Islam MM, Rashid MH, Ahmed FF, Mosharaf MP, Kabir MH, Mollah MNH. Computational prediction of lysine PTM Sites Mapping on Homo Sapiens under the CKSAAP encoding. Paper EC-056, 7^th International Conference on Data science and SDGs: Challenges, Opportunities and Realities held on December 18-19, 2019, organized by department of statistics university of Rajshahi, Rajshahi-6205, Bangladesh.

 

 

Email: merajul.stat@jkkniu.edu.bd

Personal Website/Blog