• Doctor of Philosophy (PhD) in Computer Science and Engineering, Graduate Department of Computer and Information System, The University of Aizu, Japan.
• Master of Philosophy (MPhil) in Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.
• Master of Science (M.Sc.) in Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.
• Bachelor of Science (B.Sc.) in Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.

Public Health, Time Series Analysis, Bioinformatics, Bio-statistics, Machine Learning, Data Mining, and Image Analysis.

Current Research Project/Collaboration

No Data Available

Supervision

No Data Available

coming soon...

Book Chapter

1.   Cuadrado-Godia, E., Maniruzzaman, M., Araki, T., Puvvula, A., Rahman, M. J., Saba, L & Omerzu, T. (2019). Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort. Vascular and Intravascular Imaging Trends, Analysis, and Challenges, Volume 2 (IOP Publishing Ltd). 8-1 to 8-32. https://doi.org/10.1088/2053-2563/ab0820ch8.

2.    Maniruzzaman, M., Rahman, M. J., Ahammed, B., Abedin, M. M., Suri, H. S., Biswas, M., & Suri, J. S. (2020). Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms. In Cognitive Informatics, Computer Modelling, and Cognitive Science (pp. 273-317). Academic Press.  https://doi.org/10.1016/B978-0-12-819443-0.00014-3

Journal

48. Hasan, M.A.M., Maniruzzaman, M., Huang, J., Shin, J. (2025). Statistical and Machine Learning based Platform-Independent Key Genes Identification for Hepatocellular Carcinoma. PloS One (Public Library of Science) (SJR Q1, IF=3.752, SCI Indexed) (Accepted).20(2): e0318215,  https://doi.org/10.1371/journal.pone.0318215

47. Rabby, M.S., Islam, M. M., Kumar, S., Maniruzzaman, M., Hasan, M. A. M., Tomioka, Y., Shin, J. (2025) Identification of Potential and Prognostic Biomarkers for Lung Cancer using Computational, Statistical and Bioinformatics based Approaches. PloS One (Public Library of Science) (SJR Q1, IF=3.752, SCI Indexed) (Accepted).

46. Hasan, M.A.M., Maniruzzaman, M. Shin^, J. (2024). WGCNA and Machine Learning-based Integrative Bioinformatics Analysis for Identifying Key Genes of Colorectal Cancer. IEEE ACCESS (IEEE) (IF=3.90, CiteScore= 7.50, SCI Indexed). 12, 144350 – 144363, https://doi.org/10.1109/ACCESS.2024.3472688.

45.  Maniruzzaman, M., Hirooka, K., Tomioka, Y.,  Hasan, M.A.M., Hwang, Y.S., Megumi, A., Yasumur A., Shin, J. (2024). Machine Learning-based ADHD Detection from fNIRs Signal during Reverse Stroop Tasks. IEEE Access (IEEE) (IF=3.9, Cite Score=9.00; SCI indexed, Q1 Scimago).  12, 82984 - 82995. https://doi.org/10.1109/ACCESS.2024.3411558.

44.  Shin, J., Matsumoto, M., Maniruzzaman, M., Hasan, M, A., Hirooka, K., Hagihara, Y., Kotsuki, N., Inomata-Terada, S., Terao, Y., Kobayashi, S. (2024).^, Classification of Hand Movement Disabilities in Parkinson’s Disease by Using Motion Capture Device and Machine Learning. IEEE Access (IEEE) (IF=3.90, CiteScore= 7.50, SCI Indexed). 12, 52466 - 52479, https://doi.org/10.1109/ACCESS.2024.3386367.

43.  S Shin, J., Hasan, M.A.M., Maniruzzaman, M., Watanabe, T., Jozume, I. (2024). Dynamic Hand Gesture based Person Identification using Leap Motion and Machine Learning. Computers, Materials & Continua (Tech Science Press) (IF=3.772, SCI Indexed). https://doi.org/10.32604/cmc.2024.046954. 

42. Md. Merajul Islam, Md. Jahanur Rahman, Md. Symun Rabby, Md. Jahangir Alam 1, S.M. Ashikul Islam Pollob, N.A.M. Faisal Ahmed, Most Tawabunnahar, Dulal Chandra Roy, Junpil Shin, Md. Maniruzzaman*. (2023). Predicting the Risk of Diabetes Retinopathy using Explainable Machine Learning Algorithms. Diabetes & Metabolic Syndrome: Clinical Research & Reviews (Elsevier) (IF=10.0, SCI Indexed, SJR Q1). 17 (12), 102919. https://doi.org/10.1016/j.dsx.2023.102919.

41.  Amin, A., Reza, M.S., Maniruzzaman, M., Hasan M.A.M., Lee, H., Jang, S., Shin, J. (2023). Intensive Statistical Exploration to Identify Osteoporosis Predisposing Factors and Optimizing Recognition Performance with Integrated GP Kernels. IEEE Access (IEEE) (IF=3.90, CiteScore= 7.50, SCI Indexed).  11, 131338-131350. https://doi.org/10.1109/ACCESS.2023.3336422

40. Hasan, M.A.M., Maniruzzaman, M. Shin^, J. (2023). Gene Expression and Metadata based Identification of Key Genes for Hepatocellular Carcinoma using Machine Learning and Statistical Models. IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE) (IF=4.50, CiteScore= 7.50, SCI Indexed). 1.     20 (6), 3786-3799, 10.1109/TCBB.2023.3322753.

39. Islam, M. M., Alam, M. J., Maniruzzaman, M., Ahmed, N. F., Ali, M. S., Rahman, M. J., & Roy, D. C. (2023). Predicting the risk of hypertension using machine learning algorithms: A cross-sectional study in Ethiopia. Plos one, 18(8), e0289613. https://doi.org/10.1371/journal.pone.0289613

38. J. Shin, M. Maniruzzaman, Y. Uchida, M. A. M. Hasan, A. Megumi, and A. Yasumura. (2023). Handwriting-Based ADHD Detection for Children Having ASD Using Machine Learning Approaches. IEEE Access (IEEE) (IF=3.90, SCI Indexed), 11,  84974-84984, 2023, doi: 10.1109/ACCESS.2023.3302903.

37.  Shin, J., Konnai, S., Maniruzzaman, M., Hasan, M. A. M., Hirooka, K., Megumi, A., & Yasumura, A. (2023). Identifying ADHD for Children with Coexisting ASD from fNIRs Signals using Deep Learning Approach. IEEE Access (IEEE) (IF=3.90, SCI Indexed), 11, 82794-82801. doi: 10.1109/ACCESS.2023.3299960.

36. Maniruzzaman, M., Hasan, M.A.M., Shin J. (2023). Optimal Channels and Features Selection based ADHD Detection from EEG Signal using Statistical and Machine Learning Techniques. IEEE Access (IEEE) (IF=3.90, SCI Indexed). https://doi.org/10.1109/ACCESS.2023.3264266

35.  Hasan, M. A. M., Maniruzzaman, M., & Shin, J. (2023). Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning. Scientific Reports (Springer Nature) (IF=4.999, SCI Indexed), 13(1), 3771. https://doi.org/10.1038/s41598-023-30851-1.

34.  Watanabe, T., Maniruzzaman, M., Hasan, M.M.M., Lee, H.S., Jang, S.W., Shin, J. (2023). 2D Camera Based Air-writing Recognition using Hand Pose Estimation and Hybrid Deep Learning Model. Electronics (MDPI) (SCI Index, IF=2.690).  12, 995-1009. https://doi.org/10.3390/electronics12040995.

33.  Ali, M., Khatun, M. F., Yasmin, T., Talukder, A., Maniruzzaman, M., & Alauddin, S. (2023). Smoke-free status of homes and workplaces among Indian people: Evidence from Global Adult Tobacco SurveyData-2016/2017. Plos One (Public Library of Science) (SJR Q1), 18(2), e0282138. https://doi.org/10.1371/journal.pone.0282138.

32.  Islam, M. M., Rahman, M. J., Abedin, M.M., Ahammed, B., Ali, M., Ahmed, F. N.A.M., Maniruzzaman, M* (2022). Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniques. Health System (Taylor & Francis). https://doi.org/10.1080/20476965.2022.2141141.

31.  Alam, M.J., Islam, M. M., Maniruzzaman, M., Ahmed, F. N.A.M., Tawabunnahar, M., Rahman, M.J., Roy, D.C., Mydam, J. (2022). Socio-economic inequality in the prevalence of low birth weight among singleton births and its associated determinants in Bangladesh. PloS One (Public Library of Science) (SJR Q1, IF=3.752, SCI Indexed). PLoS One, 17(10): e0276718. https://doi.org/10.1371/journal.pone.0276718.

30.   Hasan, M.A.M., Shin, J., Maniruzzaman, M. (2022) Online Kanji Characters based Writer Identification using Sequential Forward Floating Selection and Support Vector Machine. Applied Science (MDPI). (IF=2.838, SCI Indexed), 12 (20), 10249-10261. https://doi.org/10.3390/app122010249.

29. Al Mehedi Hasan, M., Maniruzzaman, M., & Shin, J. (2022). Identification of key candidate genes for IgA nephropathy using machine learning and statistics-based bioinformatics models. Scientific Reports (Springer Nature) (IF=4.999, SCI Indexed), 12(1), 1-14. https://doi.org/10.1038/s41598-022-18273-x.

28.  Shin, J., Maniruzzaman, M., Uchida, Y., Hasan, M. A. M., Megumi, A., Suzuki, A., Yasumura, A. (2022). Important Features Selection and Classification of Adult and Child from Handwriting using Machine Learning Methods. Applied Sciences (MDPI) (IF=2.679, SCI Indexed), 12 (10), 5256-5270. http://dx.doi.org/10.3390/app12105256.

27.  Hassan, K, Islam, S. R., Rokon, M. S., Ahmed, S. S., Islam, S., Islam, M., Maniruzzaman, M., Abedin, M.M., (2022). Relationship between Mental Health and Facebook users among Khulna University Students in Bangladesh. Minerva Psychiatry (SCI Indexed). 63:367-72. https://doi.org/10.23736/S2724-6612.21.02214-4.

26.  Pollob, S.M. A.I., Abedin, M.M., Islam, M.T., Islam, M.M., Maniruzzaman, M*. (2022). Predicting risks of low birth weight in Bangladesh with machine learning. PloS ONE (Public Library of Science) (SJR Q1, IF=3.24, SCI Indexed). 17 (5), e0267190- e0267202. http://dx.doi.org/10.1371/journal.pone.0267190.

25.  Maniruzzaman M, Shin J, Hasan MAM, Yasumura, A (2022). Efficient Feature Selection and Machine Learning-Based ADHD Detection Using EEG Signal. Computers, Materials & Continua (Tech Science Press) (IF=3.772, SCI Indexed). 72 (3), 5179–5195. doi:10.32604/cmc.2022.028339.

24.  Maniruzzaman M, Shin J, Hasan MAM. (2022). Predicting Children with ADHD Using Behavioral Activity: A Machine Learning Analysis. Applied Sciences (MDPI) (IF=2.679, SCI Indexed). 12(5):2737. https://doi.org/10.3390/app12052737.

23.  Islam, M.M., Rahman, M.M., Islam, M. M., Roy, D.C., 1, Ahmed, F. N.A.M. Hussain, S. Amanullah, M., Abedin, M. M., Maniruzzaman, M*. (2022). Application of machine learning-based algorithm for prediction of malnutrition among women in Bangladesh. International Journal of Cognitive Computing in Engineering (Elsevier), 3, 46-57. https://doi.org/10.1016/j.ijcce.2022.02.002.

22.  Maniruzzaman, M*., Islam, M. M., Rahman, M. J., Hasan, M. A. M., & Shin, J. (2021). Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary data. Diabetes & Metabolic Syndrome: Clinical Research & Reviews (Elsevier) (SJR Q1), 15(5), 102263. https://doi.org/10.1016/j.dsx.2021.102263.

21.  Rahman, S.M. J., Ahmed, N.A.M.F., Abedin, M. M., Ahammed, B., Ali, M., Rahman, M. J., Maniruzzaman, M*. (2021). Investigate the risk factors of stunting, wasting, and underweight among under-five Bangladeshi children and its prediction based on machine learning approach. Plos One (Public Library of Science) (SJR Q1). 16(6): e0253172. doi.org/10.1371/journal.pone.0253172.

20.  Islam, M., Rahman, M.J., Roy, D.C., Most.Tawabunnahar, M., RubaiyatJahan, R., N.A.M.FaisalAhmed, N.A.M.F., Maniruzzam, M*. (2021). Machine learning algorithm for characterizing risks of hypertension, at an early stage in Bangladesh. Diabetes & Metabolic Syndrome: Clinical Research & Reviews (Elsevier) (SJR Q1). 15 (3), 877-884. https://doi.org/10.1016/j.dsx.2021.03.035.

19.  Sarder, M.A., Islam, S.  M.  S., Maniruzzaman, M., Talukder, A., Ahammed, B.  (2021). Prevalence of Unintended Pregnancy and Its Associated Factors: Evidence from Six South Asian Countries. Plos One (SJR Q1). 16 (2), e0245923. https://doi.org/10.1371/journal.pone.0245923.

18.  Islam, M.M., Rahman, M.J., Roy, D.C., Islam, M.M., Tawabunnahar, M., Ahmed, N.A.M. F., Maniruzzaman, M*.  (2021). Risk factors identification and prediction of anemia among women in Bangladesh using machine learning techniques. Current Women’s Health Reviews (Bentham Science Publishers) (SJR Q3). 17:1. 10.2174/1573404817666210215161108.

17.  Biswas, A., Abedin, M.M., Maniruzzaman, M., Ahammed, B. (2020). Prevalence and determinants of initiation of breastfeeding according to rural-urban women in Bangladesh. Family Medicine & Primary Care Review (SJR Q3) (Accepted).

16. Maniruzzaman, M*., Islam S, Abedin M, et al. (2020) Prediction of Childhood Diarrhea in Bangladesh using Machine Learning Approach. Insights Biomed Res 4(1):111-116. 10.36959/584/456.

15  Ahmed, N.A.M.F., Sultana, M., Ali, M., Abedin, M.M, Ahammed, B., Yeasmin, M.A, Maniruzzaman, M*., (2020). Identifying the factors causing malnutrition and its impact on mortality among under-five Bangladeshi children. Family Medicine & Primary Care Review (SJR Q3) 23 (3), 255-260. https://doi.org/10.5114/fmpcr.2021.108185.

14.  Ahammed, B., Maniruzzaman, M., Talukder, A., Ferdausi, F., (2020). Prevalence and risk factors of hypertension among young adults in Albania. High Blood Pressure & Cardiovascular Prevention (Springer) (SJR Q2), 28, 35–48. https://doi.org/10.1007/s40292-020-00419-5.

13. Hussain, S., Gaftandzhieva, S., Maniruzzaman, M., Doneva, R., Muhsin, F, Z., (2020) Regression analysis of student academic performance using deep learning. Education and Information Technologies (Springer) (SJR Q1). https://doi.org/10.1007/s10639-020-10241-0.

12.  Islam, M.M., Rahman, M.J., Roy, D.C., Maniruzzaman, M*. (2020). 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) (SJR Q2). 14 (3), 217-219. https://doi.org/10.1016/j.dsx.2020.03.004.

11.  Ali, M., Alauddin, S., Khatun, F, M., Maniruzzaman, M., Islam, S. M. S. (2020). Determinants of early age of mother at first birth in Bangladesh: A statistical analysis using two-level multiple logistic regression model. Journal of Public Health (Springer) (Scopus index).1-7. https://doi.org/10.1007/s10389-020-01228-9.

10.  Maniruzzaman, M*., Rahman, M.J., Ahammed, B., Abedin, M.M., (2020). Classification and prediction of diabetes disease using machine learning paradigm. Health Information Science and Systems (Springer) (SJR Q2). 8: 7.  https://doi.org/10.1007/s13755-019-0095-z.

9.  Rahman, S. M., Rahman, A. M., Ali, M., Rahman, S. M., Maniruzzaman, M., Yeasmin, A.M., Ahmed, F.N.A.F., Abedin, M.M., Islam, S. M. S. (2019). Determinants of depressive symptoms among older people in Bangladesh. Journal of Affective Disorders (Elsevier) (SJR Q1). 264, 157-162. https://doi.org/10.1016/j.jad.2019.12.025.

8.  Rahman, S, M., Rahman, A, M., Maniruzzaman, M., Howlader, H, M., (2019). Prevalence of undernutrition in Bangladeshi children. Journal of Biosocial Science (Cambridge University Press) (SJR Q2). 1-14. https://doi.org/10.1017/S0021932019000683.

7.  Ahammed, B., Maniruzzaman, M., Kundu, S., Mahmud, A, J., Ferdausi, F., (2019). Prevalence and risk factors associated with tobacco smoking among adults in India: a nationally representative household survey. Family Medicine & Primary Care Review (SJR: 0.16, Q3). 21 (4).  https://doi.org/10.5114/fmpcr.2019.86505.

6.  Maniruzzaman, M., Rahman, M. J., Ahammed, B., Abedin, M. M., Suri, H. S., Biswas, M., & Suri, J. S. (2019). Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms. Computer Methods and Programs in Biomedicine (Elsevier) (SJR Q1). 176, 173-193. https://doi.org/10.1016/j.cmpb.2019.04.008.

5.  Cuadrado-Godia, E., Jamthikar, A. D., Gupta, D., Khanna, N. N., Araki, T., Maniruzzaman, M., & Suri, H. S. (2019). Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach. Computers in Biology and Medicine (Elsevier) (SJR Q2). 108, 182-195. https://doi.org/10.1016/j.compbiomed.2019.03.020.

4.  Cuadrado-Godia, E., Maniruzzaman, M., Araki, T., Puvvula, A., Rahman, M. J., Saba, L & Omerzu, T. (2018). Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort. Computers in Biology and Medicine (Elsevier) (SJR Q2).101, 128-145. https://doi.org/10.1016/j.compbiomed.2018.08.008.

3.  Maniruzzaman, M., Harman, S., Kumar, N., Abedin, M, M., Rahman, M.J., El-Baz, A., Bhoot, M., Teji, J. S., & Suri, J. S (2018). Risk factors of neonatal mortality and child mortality in Bangladesh. Journal of Global Health (Edinburgh University Press) (SJR Q1). 8 (1), 1-16. https://dx.doi.org/10.7189%2Fjogh.08.010421.

2.  Maniruzzaman, M., Rahman, M. J., Al-MehediHasan, M., Suri, H. S., Abedin, M. M., El-Baz, A., & Suri, J. S. (2018). Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers. Journal of Medical Systems (Springer) (SJR Q1). 42(5), 92. https://doi.org/10.1007/s10916-018-0940-7.

1.  Maniruzzaman, M., Kumar, N., Abedin, M. M., Islam, M. S., Suri, H. S., El-Baz, A. S., & Suri, J. S. (2017). Comparative Approaches for Classification of Diabetes Mellitus Data: Machine Learning Paradigm. Computer Methods and Programs in Biomedicine (Elsevier) (SJR Q1). 152, 23-34. https://doi.org/10.1016/j.cmpb.2017.09.004.

  *Corresponding authors

Conference 

Full-Length Paper 

   10.   Maniruzzaman, M., Hasan, M. A. M., Taro Suzuki. T., Shin, J. (2023). Identification of Children with ADHD from EEG Signals Based on Entropy Measures and Support Vector Machine. 2023 11th European Workshop on Visual Information                  Processing  (EUVIP), 11-14 September 2023, Gjovik, Norway. https://doi.org/10.1109/EUVIP58404.2023.10323044.

   9.  Shin, J., Hasan, M. A. M., Maniruzzaman, M. (2023). Identifying Users based on their Activity Pattern using Machine Learning. In 2023 The 6th International Conference on Electronics, Communications and Control Engineering ICECC 2023), March 24-26,                     2023,  Fukuoka, Japan. ACM, New York, NY, USA, 9  Pages. https://doi.org/10.1145/3592307.3592312.              

8.  Shin, J, Hasan, M. A. M., and Maniruzzaman, M. (2022). Hand Gesture Authentication Using Optimal Feature Selection and Dynamic Time Warping based K-nearest Neighbor. In The 2022 5th International Conference on Electronics, Communications and Control Engineering (ICECC 2022), March 25–27, 2022, Higashi-ku, Japan. ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3531028.3531032.

7.  Shin, J., Hasan, M. A. M., Maniruzzaman, M., Megumi, A., Suzuki, A., Yasumura, A., (2022). Online Handwriting Based Adult and Child Classification using Machine Learning Techniques. In the 2022 5^th IEEE Eurasian Conference on Educational Innovation 2022 (IEEE ECEI 2022), February 10-12, 2022, National Museum of Marine Science & Technology, Keelung, Taiwan. 10.1109/ECEI53102.2022.9829467.

6.  Maniruzzaman, M., Rahman, M.J., Ahammed, B., Abedin, M.M., (2019). Logistic Regression-based Feature Selection and Classification of Diabetes Disease using Machine Learning Paradigm. Proceedings of International Conference Data Science and SDGs: Challenges, Opportunities and Realities, 18-19 December 2019, organized by Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh. 

5.  Md. Maniruzzaman, Md. Menhazul Abedin, Dr. Mohammed Nasser, Md. Shaykhul Islam, (2016). “A Study on Gaussian Process Based Regression and Classification” on Professor Mohammed Nasser Memorial Seminar Statistics and Bioinformatics for Sustainable Development, 13 March 2016, organized by the Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.

4.   Md. Menhazul Abedin, Dr. Mohammed Nasser, Md. Shaykhul Islam, Md. Maniruzzaman (2016). Regression and Classification: An Artificial Neural Network Approach. Proceedings on Professor Mohammed Nasser Memorial Seminar Statistics and Bioinformatics for Sustainable Development, 13 March 2016, organized by the Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.

3.   Md. Shaykhul Islam, Dr. Mohammed Nasser, Md. Menhazul Abedin, Md. Maniruzzaman (2016). Support Vector Machines for Supervised Learning on Real and Simulated Data. Professor Mohammed Nasser Memorial Seminar Statistics and Bioinformatics for Sustainable Development, during the period March 13, 2016, organized by the Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.

2.  Md. Shaykhul Islam, Md. Nazrul Islam Mondal, Md. Rafin, Md. Maniruzzaman (2015). Factor Related to the Occurrence of Diarrheal Disease among Under-Five Children in Bangladesh.  Proceedings of First International Conference on Mathematics and its Application. 23 December 2015, organized by Mathematics Discipline, University of Khulna, Khulna-9208, Bangladesh.

1.   Md. Menhazul Abedin, Dr. Md. Nazrul Islam Mondal, Dr. Mohammed Nasser, Md. Shaykhul Islam, Md. Maniruzzaman (2015). Misconception about HIV/AIDS Transmission among Married Men: A population-based study in Bangladesh. Proceedings of First International Conference on Mathematics and its Application, during the period 23 December 2015,  organized by Mathematics Discipline, University of Khulna, Khulna-9208,  Bangladesh.

Abstract Submission

9.     Rahman,S.M.J., Ahmed, N.A.M.F., Abedin, M.M., Ahammed, B., Ali, M., Maniruzzaman, M*., (2019). Prediction of Malnutrition and Its Risk Factors among Under-Five Children in Bangladesh: A Comparison with Support Vector Machine and Logistic Regression. Proceedings of International Conference Data Science and SDGs: Challenges, Opportunities and Realities, 18-19 December 2019, organized by Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh. 

8.  Abedin, M.M., Maniruzzaman, M., Ahmed, N.A.M.F., Ahammed, B., Ali, M., (2019).  Classification and Prediction of Parkinson's Disease: A Machine Learning Approach. Proceedings of International Conference Data Science and SDGs: Challenges, Opportunities and Realities, 18-19 December 2019, organized by Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.  

7.   Islam, M. M., Rahman, M. J., Roy, D. C., Maniruzzaman, M., (2019). Automated Detection and Classification of Diabetes Disease Based on Machine Learning Approach in Bangladesh. Proceedings of International Conference Data Science and SDGs: Challenges, Opportunities and Realities, 18-19 December 2019, organized by Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh. 

6.   Khandker, S., Ali, M., Abedin, M. M., Ahammed, B., Maniruzzaman, M., Ahmed, N. A. M. F., (2019). Associated Factors of Exclusive Breastfeeding among Infants Aged 0-6 months in Bangladesh and its Effect on Diarrhea and Acute Respiratory Infection. Proceedings of International Conference Data Science and SDGs: Challenges, Opportunities and Realities, 18-19 December 2019, organized by Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh. 

5.    Biswas, T. K., Khatun, M. F., Ahmed, N. A. M. F., Abedin, M, M., Ahammed, B., Maniruzzaman, M., Ali, M., (2019). A Comparative Study of Hierarchical Clustering Methods Based on Cancer Gene Expression Data. Proceedings of International Conference Data Science and SDGs: Challenges, Opportunities and Realities, 18-19 December 2019, organized by Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.

4.    Mahbub, T., Khatun, M. F., Abedin, M. M., Ahammed, B., Maniruzzaman, M., Ahmed, N. A. M. F., Ali, M., (2019). Identification of the similar genes of NOG1 and the evolutionary relationship using protein sequence data. Proceedings of International Conference Data Science and SDGs: Challenges, Opportunities and Realities, 18-19 December 2019, organized by Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh. 

3.  Maniruzzaman M., Kumar, N., Abedin, M.M., Rahman, M.J. (2017). Liver Disease Prediction using Intelligent Techniques Proceedings of International Conference on Bioinformatics and Biostatistics for Agriculture, Health, and Environment. 20-23 January 2017. ISBN: 978-984-34-0996-6.

2.  Abedin, M. M., Maniruzzaman, M., Islam, M. S., Ali, M., Ahammed, B., Ahmed, N.A.M.F.  (2017). Comparative Study of Artificial Neural Network Regression and Classical Regression. Proceedings of International Conference on Bioinformatics and Biostatistics for Agriculture, Health, and Environment. 20-23 January 2017.  ISBN: 978-984-34-0996-6.

1.   Abedin, M. M., Maniruzzaman, M., Islam, M.S., Ali, M., Ahammed, B., Ahmed, N.A.M.F. (2017). Artificial Neural Network Regression. Proceedings of International Conference on Bioinformatics and Biostatistics for Agriculture, Health, and Environment. 20-23 January 2017.  ISBN: 978-984-34-0996-6.

Participated in Training and Workshops

I actively participated in the following workshops

8.  ‘‘International  Workshop  on  Health  Statistics’’  during  the  period  April  20-21, 2012, organized by the Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.

7.  ”Training on R Programming” during the period March 22-23, 2013, organized by the Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.

6. “Workshop on Mathematics for Machine Learning “during the period November 13-14, 2014, organized by the Statistical Learning Group, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.

5. “Workshop on  Advanced R Programming” during the period June 5-6, 2015, organized by the Department of Statistics, University of Rajshahi, Rajshahi-6205  Bangladesh.

4.  “Training Program on R-Programming and Application of R-packages”, during the period June 20-30, 2015, organized by the Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.

3.  “Training Program on C-Programming”, organized by the Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.

2.  “National Workshop on Bioinformatics for Sustainable Development in Agriculture Health and Environment”, during the period August 30–31, 2016, organized by the Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.

1.  “Interactive Data Analysis & Visualization” during the period September 1, 2016, organized by the Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.

• Elementary Probability (Section-A)

• Basic Statistics and Probability Lab