Research Experience

Table of Contents

1. Hassan, S. A., Islam, T., Jui, M. A., Anni, T. T., Jafrin, T., Al-Mahde, A. E., Turzo, N. A. A., Tasfiya, N., Islam, M. A., & Rahman, Md. A. (2025). Prevalence of childhood underweight and associated factors in Bangladesh: Evidence from Bangladesh demographic health survey data sets (2007, 2011, 2014 and 2017-18). Edukasiana: Jurnal Inovasi Pendidikan, 4(1), 60–74. https://doi.org/10.56916/ejip.v4i1.972

2. Hassan, S. A., Jui, M. A., Al-Mahde, A. E., Islam, T., Juie, I. J., Habiba, U., Rana, Md. M., Howlader, Md. H., & Rahman, Md. A. (2025). Livelihood vulnerability and public health outcomes in south-west coastal regions in Bangladesh. Sustainable Earth Reviews, 8(1), 4. https://doi.org/10.1186/s42055-025-00105-1

3. Islam, Md. A., Islam, T., Saha, B. R., Al Hassan, S., Hasan, N., & Rahman, Md. A. (2025). Prevalence of and factors associated with anxiety among school going adolescents analysis from 59 countries. Journal of Affective Disorders, 120315. https://doi.org/10.1016/j.jad.2025.120315

4. Islam, T., Anni, T. T., & Al Hasan, S. (2024). Prevalence of and factors associated with stunting in Bangladesh: Evidence from Bangladesh demographic and health survey data sets (2007, 2011, 2014, and 2017–18). Journal of Public Health, 32(10), 1877–1889. https://doi.org/10.1007/s10389-023-01957-7

5. Al-Mahde, A. E., Hassan, S. A., Islam, Md. T., Turzo, N. A. A., & Hossain, Md. S. (2025). Impact of Rampal Coal Power Plant on Livelihood of Local Community. International Journal of Social Science and Human Research, 08(02). https://doi.org/10.47191/ijsshr/v8-i2-23

6. Islam, T., Anni, T. T., Hassan, S. A., Jui, M. A., Moon, M. I., & Islam, M. A. (2024). Childhood Wasting in Bangladesh: An Analysis of Trends and Determinants from Demographic and Health Surveys (2007-2018). Edukasiana: Jurnal Inovasi Pendidikan, 3(4), Article 4. https://doi.org/10.56916/ejip.v3i4.854

7. Tasfiya, N., Islam, T., Haider, A., Turzo, N. A. A., Al Hassan, S., & UL Husna, A. (2024). Analysis of Parental Stress and Anxiety Symptoms during COVID-19 Pandemic in Khulna City. Dr. Sulaiman Al Habib Medical Journal, 6(3), 129. https://doi.org/10.4103/DSHMJ.DSHMJ_47_24

8. Turzo, N. A. A., Hassan, S. A., Kabir, F.-U.-N., Al-Mahde, A. E., Jui, M. A., Anni, T. T., & Islam, T. (2025). Smoking Prevalence Among Khulna University Students: Investigating Knowledge, Attitudes, and Contributing Factors. Edukasiana: Jurnal Inovasi Pendidikan, 4(2), 148–164. https://doi.org/10.56916/ejip.v4i2.1140

9. Zhang, J., Yang, H., Zeng, Y., Al Hassan, S., Jui, M. A., & Gu, L. (2025). Preliminary Comparative Effects of Close‐to‐Nature and Structure‐Based Forest Management on Carbon Sequestration in Pinus tabuliformis Plantations of the Loess Plateau, China. Ecology and Evolution, 15(7). https://doi.org/10.1002/ece3.71809

1. "Motivation behind Entering Public Service: The Case of Bangladesh Civil Service (BCS)”, funded by Research and Innovation Centre, Khulna University, Khulna 9208, Bangladesh. 

2. Suicidal Behaviors of adolescents and responsible psychosocial health factors globally: observations based on school going adolescents from 59 countries

3. Mental Health Status of School-Going Adolescents During the Third Wave of Covid-19 Pandemic in Khulna City 

4. Exploring Forest Cover Dynamics in Bangladesh: A Machine Learning and Google Earth Engine Approach

5. Empowering Student Behaviour Change: Integrating COM-B into Environmental Awareness Campaigns

6. Extent of Household Livelihood Vulnerability to Climate-Induced Disasters Prone Southwest Coastal Areas of Bangladesh

7. Livelihood Vulnerability, Food Insecurity, Salinity and their Effects on Mental Health Well-being among People of Southwest Coastal Region of Bangladesh 

8. Knowledge, attitude, and practice of school going female students towards menstrual hygiene in Bangladesh

9. Carbon Sink Assessment and Impact Mechanism in Bangladesh

10. Regional Differences in Carbon Emissions and Carbon Compensation Mechanism in Bangladesh

11. Assessing the quality of life of university students during COVID-19 lockdown: A structural equation modeling approach