1. Das, K. R., Khatun, F., Salahin, K. F., Burman, P., and Barman, L. R. (2025). Predictive Modeling and Analysis of COVID-19 Dynamics in Bangladesh: Insights from Secondary Analysis. Asian Journal of Human Services, 29, 112-124. https://doi.org/10.14391/ajhs.29.112
  2. Das, K. R., Imon, A. H. M. R., Meem, K. I., Barman, L. R., and Alam, S. (2025). A Long Walk of Survey Sampling with Modern Methodologies. Journal of Business and Social Sciences Research, 10(2), 17–26. https://doi.org/10.3126/jbssr.v10i2.89439
  3. Sharmin S., Meem, M. S., and Das, K. R. (2025). Exploring inconsistencies, trends and forecasting of wheat production in Bangladesh: a statistical analysis approach. Bangladesh Agric, 29(1), 51-67. https://doi.org/10.3329/aba.v29i1.81469
  4. Das, K. R., Meem, K. I., Salahin, K. F., and Noornunnahar, M. (2024). Towards sustainable consumption: Fostering the use of Bangladeshi grown onions over imports. Journal of the University of Ruhuna, 13(1), 42-51. https://doi.org/10.4038/jur.v13i1.8048.
  5. Khan, Z. S., Noorunnahar, M., Das, K. R., and Akhi, K. (2024). Trend model for forecasting sustainable potato production in Bangladesh. Annals of Bangladesh Agriculture, 28(1): 111-125.
  6. Das, K. R., Adhikary, B. K., Barman, L. R., Khatun, F., and Burman, P. (2024). Analysing the Key Causes of Road Accidents in Bangladesh. Journal of Business and Social Sciences Research, 9(2), 69–82. https://doi.org/10.3126/jbssr.v9i2.72414
  7. Ullah, S. M. A., Rahman, M. A., Riyadh, Z. A., Das, K. R., Tani, M. (2024). A Study on the Impact of Refugee Influx on the Agricultural Service, Systems and Products; The Case of Rohingya Refugees in Teknaf, Bangladesh. Asian Journal of Human Services, 26: 135-15. https://doi.org/10.14391/ajhs.26.135
  8. Das, K. R., Jahan, M., Burman, P., and Barman, L. R. (2023). Modeling and Forecasting of Spinach Production in Bangladesh Based on Time Series Data. Nepalese journal of statistics, 7(1): 1-18. https://doi.org/10.3126/njs.v7i1.61053.
  9. Das, K. R., Burman, P., Barman, L. R., Jahan, M., and Noorunnahar, M. (2023). Forecasting Annual Mean Temperature and Rainfall in Bangladesh Based on Time Series Data. Nepal Journal of Mathematical Sciences, 4(2): 1-10. https://doi.org/10.3126/njmathsci.v4i2.59536.
  10. Saleh, N. N., Das, K. R., Imon, A. H. M. R. (2023). Bias Correction of Sample Proportion for Length or Size Biased Data. BAUET JOURNAL, 4(1): 1-4. https://doi.org/10.59321/BAUETJ.V4I1.1.
  11. Hasan, M. N., Mosharaf, M. P., Uddin, K. H., Das, K., Sultana, N., Noorunnahar, M., Naim, D., and Mollah, M. N. H. (2023). Genome-Wide Identification and Characterization of Major RNAi Genes Highlighting Their Associated Factors in Cowpea (Vigna unguiculata (L.) Walp.). BioMed Research International, vol. 2023, Article ID 8832406, 22 pages. https://doi.org/10.1155/2023/8832406
  12. Jahan, M., Das, K. R., Barman, L. R., and Burman, P. (2023). Modeling on Lemon Production: A Stepwise Regression Approach. Journal of Bangladesh Agricultural University, 21(4): 542-551. https://doi.org/10.5455/JBAU.157099.
  13. Noorunnahar, M., Rushsa, R., and Das, K. R. (2023). Climate Change and Rice Production in Bangladesh: Finding the Best Prospective Factors Using Multiple Linear Regression Modeling Techniques. European Journal of Agriculture and Food Sciences, 5(5), 30-37. 24018/ejfood.2023.5.5.724.
  14. Nath, S. K., Adhikary, B. K., Das, K. R. (2023). Teenagers’ education in Bangladesh with the view of lower and higher secondary education scenario: A socio-economic analysis. Education, 13(1), 1-6.
  15. Hasan, M. N., Mosharaf, M. P., Uddin, K. H., Das, K., Sultana, N., Noorunnahar, M., Naim, D., and Mollah, M. N. H. (2023). Genome-wide identification and characterization of major RNAi genes highlighting their regulatory factors in Cowpea (Vigna unguiculata (L.) Walp.) Preprint available at BioRxiv:  https://doi.org/10.1101/2023.02.15.528631
  16. , M. T., Noorunnahar, M., and Das, K., R. (2023). Profitability analysis of a newly developed drought-tolerant pulse variety Binamasur-10 in Chapainawabganj district of Bangladesh. Journal of Bangladesh Agricultural University, 21(2), 180-185. https://doi.org/10.5455/JBAU.131912
  17. Das, K. R., Jahan, M. and Noorunnahar, M. (2023). Performance of trend models of ginger production. Journal of Bioscience and Agriculture Research, 30(01), 2508-2512.
  18. Das, K. R., Adhikary, B., K., and Ali, A., M. (2022). How to Create an Effective and Joyful Classroom in Higher Education in Bangladesh. Review of Social Sciences, 8(2), 98-104.
  19. Khatun, M. F., Jahan, M., Das, K. R., Lee, K., Y. and Kil, E., J. (2022) Population dynamics and biorational management of sucking insect vectors on chili (Capsicum annuum L.) in Bangladesh. Archives of Insect Biochemistry and Physiology, https://doi.org/10.1002/arch.21980
  20. Das, K. R., Sultana, N., Karmokar, P. K., and Hasan, M. N. (2022). A Comparison of Trend Models for Predicting Tea Production in Bangladesh. Nepalese Journal of Statistics, 6(01), 51–62. https://doi.org/10.3126/njs.v6i01.50804
  21. Das, K. R. and Uddin, K. S. (2021). How to Conduct Correlation and Regression Analysis through SPSS. Australian Journal of Basic and Applied Sciences, 15(3): 16-23.
  22. Das, K. R., Adhikary, B. K., and Uddin, K. S. (2020), The Relationship between Students’ Results and Spending Time on Internet at Higher Education Level in Bangladesh. ULAB Journal of Science and Engineering, 11(1): 1-8.
  23. Das, K. R., Adhikary, B. K., and Karmokar, P. K. (2020), The Challenges of Using Students Academic Performances Data and Their Solutions. Australian Journal of Basic and Applied Sciences, 14(10): 1-7. DOI: 10.22587/ajbas.2020.14.10.1
  24. Das, K. R., Sarker, J. R., and Das, F. (2020), Identifying Effective Causes of Hypertension in Northern Area of Bangladesh. Daffodil International University Journal of Science and Engineering, 15(2): 15-21.
  25. Das, K. R., Sarker, J. R., and Akhter, S. (2016), Measurement of Inconsistency between Area and Production of Pulse in Bangladesh, International Journal of Statistics and Applications, 6(3): 89-95. doi:10.5923/j.statistics.20160603.01.
  26. Das, K. R., and Imon, A. H. M. R. (2016), A Brief Review of Tests for Normality, American Journal of Theoretical and Applied Statistics, 5(1): 5-12. DOI:11648/j.atas.2016051.12
  27. Akhter, S., Sarker, J. R., and Das, K. R. (2016), Growth and Trend in Area, Production and Yield of Major Crops of Bangladesh, International Journal of Economics, Finance and Management Sciences, 4(1): 20-25. doi: 10.11648/j.ijefm.20160401.13.
  28. Hasan, M. N., Rana, S., Malek, M. B., Das, R., and Sultana, N. (2016), Modeling Bangladesh’s Gross Domestic Product Using Regression Approach, Malaysian Journal of Mathematical Sciences (Q4 Journal), 10(2): 233-246.
  29. Imon, A.H.M.R., and Das, K. (2015), Analyzing Length or Size Biased Data: A Study on the Lengths of Peas Plants, Malaysian Journal of Mathematical Sciences (Q4 Journal), 9(1): 1-20.
  30. Imon, A.H.M.R., and Das, K. R. (2014), How to Tell the Truth with Statistics, Malaysian Journal of Mathematical Sciences (Q4 Journal), 8(2): 289-309.
  31. Das, K. R., and Imon, A. H. M. R. (2013), Geometric Median and Its Application in the Identification of Multiple Outliers, Journal of Applied Statistics (Q2 Journal), 41(4): 817-831. DOI:1080/02664763.2013.856385
  32. Roy, D.C., and Das, K. R. (2012), Two Efficient Estimators for Small Areas, Proceedings of International Conference on Statistical Data Mining for Bioinformatics Health Agriculture and Environment, ISBN: 978-984-33-5876-9