Faculty Profile

Abdullah Al Islam

Lecturer

Contact Information

  • Office Address: Department of Statistics, Shahjalal University of Science and Technology, Sylhet-3114, Bangladesh
  • Phone: +8801753835868
  • Email: [email protected], [email protected]

Biography

Mr. Abdullah Al Islam is a statistician and lecturer in the Department of Statistics at Shahjalal University of Science and Technology (SUST) since November 2022. He received both his undergraduate and postgraduate degrees in Statistics from SUST with distinction. Passionate about teaching and research, he focuses on fostering analytical thinking and problem-solving skills in students. His research interests include Biostatistics, Econometric Modeling, Multilevel Modeling, and Public Health, aiming to contribute to data-driven solutions in these fields. Committed to academic excellence, he strives to make meaningful contributions to statistical research and education.

Education

  • MS(Thesis), Session: 2016-2017, Department of Statistics, Shahjalal University of Science & Technology, Sylhet-3114, Bangladesh
  • BSc(Honors), Session: 2012-2013, Department of Statistics, Shahjalal University of Science & Technology, Sylhet-3114, Bangladesh
  • HSC, Year-2012
  • SSC, Year-2010

Research Interests

  • Biostatistics
  • Public Health
  • R Programming
  • Advanced Data Analysis
  • Multilevel Modeling
  • Time Series

Active Research Project

  • 1. Chronic Disease Dynamics: Multimorbidity and Comorbidity Patterns among the Elderly in Sunamganj District funded by SUST Research Centre. (Co-Investigator)

Previous Research Project

  • 1. An Extension to the World Bank Small Area Estimation Method for analyzing Spatial Distribution of Diarrhoea Prevalence among Under-5 Children in Bangladesh. (Research Assistant)
  • 2. Assessment of Child Morbidity and Undernutrition Status in Different Administrative Tiers of Sunamganj District through Small Area Estimation Technique. (Research Assistant)
  • 3. Spatial Statistical Modelling of Chronic Diseases among Geriatric Population in Sylhet District, funded by SUST Research Centre. (Co-Investigator)

External Affiliations

  • Assistant Proctor (July, 2023 - August, 2024), Shahjalal University of Science & Technology, Sylhet-3114.
  • Office Secretary (January, 2025- Present) , Shahjalal University Statistics Department Alumni Association.

Journal Publications

  • 1. Cluster and regional level variation of hemoglobin concentration of ever-married women in Bangladesh: a linear mixed model approach (2023)
  • 2. Das, S., Islam, A. A., Kumar, B., Kawsar, L. A., & Hossain, M. Z. (2020). An ELL Type Small Area Estimation Approach for Binary Response Variable with Application to Bangladesh Child Malnutrition Study. In A. Rahman (Ed.). Malnutrition: Prevalence, Risk Factors and Outcomes. New York, USA: Nova Science Publishers. (Book Chapter) (2020)

Conference

  • 1. Regional and country-level variation of hemoglobin level of women in South Asian countries: an evidence from 2011-2016 Demographic and Health Surveys (2019)
  • 2. Prevalence of Diarrhoea and Acute Respiratory Infection at District Level in Bangladesh using Small Area Estimation Method (2018)
  • 3. Spatial Distribution of Child Malnutrition in Bangladesh: An Approach of Small Area Estimation for Binary Data (2018)

Teaching

  • Economic Statistics
  • Introduction to Probability
  • Principles of Statistics
  • Statistics for Social and Political Research-I
  • Regression Analysis -I
  • Statistics for Social and Political Research-II

Awards & Recognition

  • Primary School Scholarship (2004), Ministry of Education, Bangladesh.
  • Junior School Certificate Scholarship (2007), Ministry of Education, Bangladesh.
  • Shahjalal University of Science & Technology Undergraduate & Graduate Academic Scholarship
  • Certificate from the 5th International Conference on Natural Science & Technology as an Oral Presenter held on 30-31 March, 2018, Asian University for Women, Chittagong.

Graduate Supervision

  • 1. Chronic Diseases among Elderly People in Sylhet District: A Spatial Modeling Approach (Co-supervisor)