Dr Sumonkanti Das

Photo of Sumonkanti Das

Position: Research Fellow
School and/or Centres: School of Demography

Email: sumonkanti.das@anu.edu.au

Phone: +61422681412

Location: Level 4, RSSS Building, 146 Ellery Cres


PhD in Statistics (University of Wollongong, Australia), Masters and Bachelor in Statistics (Shahjalal University of Science & Technology, Bangladesh). 

Researcher profile: https://researchers.anu.edu.au/researchers/das-sx

Sumonkanti Das completed his PhD in statistics from the University of Wollongong. He did his PhD in the area of small area estimation (SAE) focusing on robust inference in poverty mapping with a particular interest in developing countries like Bangladesh. After his PhD, he worked as a post-doctoral researcher at the Quantitative Economics department within the School of Business and Economics at Maastricht University, the Netherlands, during the period of 2018-2021. He contributed to several joint research projects of Maastricht University and the Statistics Netherlands (CBS), where he extensively worked on multilevel time series modelling to estimate mobility trends for small domains of the Dutch population by accounting for survey redesigns over the period 1999-2019. Before joining in the School of Demography, he was also affiliated as a faculty member of the Department of Statistics, Shahjalal University of Science and Technology in Bangladesh. Dr. Das has an immense interest in implementation of SAE methodology in the field of population health, nutrition, demography, and poverty. He has expertise in multilevel modelling of complex survey data.

Hierarchical Bayesian Time Series Modelling, Mixed Modelling, Mean Squared Error Estimation, Small Area Estimation, Survey Methodology

Boonstra, H.J.H., van den Brakel, J.A., & Das, S. (2021) “Multilevel time-series modelling of mobility trends in the Netherlands for small domains”. Journal of the Royal Statistical Society: Series A (Statistics in Society), 184(3), 985-1007.

Das, S., Kumar, B., & Kawsar, L.A. (2020) “Disaggregated Level Child Morbidity in Bangladesh: An Application of Small Area Estimation Method”. PLoS ONE, 15(5): e0220164.

Hossain M.J., Das, S., Islam, A., & Chandra, H. (2020). “Disaggregate Level Estimates and Spatial Mapping of Food Insecurity in Bangladesh by Linking Survey and Census Data”. PLoS ONE, 15(4): e0230906.

Bhowmik, K.R., Das, S., & Islam, M.A. (2020). “Modelling the number of antenatal care visits in Bangladesh to determine the risk factors for reduced antenatal care attendance”. PLoS ONE, 15(1): e0228215.

Das, S. & Haslett, S. (2019) “A comparison of alternative methods for poverty estimation in developing countries” Int. Statistical Review, 87(2): 368-392.

Hossain, B., Endut, N., Das, S., Haque, N., Chowdhury, T., Sultana, S. & Ahmed, K.J. (2019) “Does financial inclusion increase financial resilience? Gender gap in Bangladesh”. Development in Practice, 29(6): 798-807.

Das, S., Chandra, H., & Saha, U. (2019) “District level estimates and mapping of prevalence of diarrhoea among under-five children in Bangladesh by combining survey and census data” PLoS ONE, 14(2): e0211062.

Das, S., Rahman, A., Ahamed, A., & Rahman, S.T. (2019) “Multi-level models can benefit from minimizing higher-order variations: an illustration using child malnutrition data”. J. of Statistical Computation & Simulation. 89(6): 1090-1110.

Das, S., Chandra, H., & Chambers, R. (2018) “Robust Mean Squared Error Estimation for the ELL based Poverty Estimates under Heteroskedasticity - An Application to Poverty Estimation in Bangladesh”. Statistics & Applications. 16(1): 375-397.

Bhowmik, K.R. & Das, S. (2018) “On selection of a proper logistic model to determine risk factors of childhood stunting in Bangladesh”. Maternal & Child Nutrition. 15(1): e12636.

Das, S., & Chambers, R. (2017) “Robust mean-squared error estimation for poverty estimates based on the method of Elbers, Lanjouw and Lanjouw”. Journal of the Royal Statistical Society: Series A (Statistics in Society), 180(4): 1137-1161.

Bhowmik, K.R. & Das, S. (2017) “On exploring and ranking risk factors of child malnutrition in Bangladesh”. BMC Nutrition, 3(1): 73.

Namazi-Rada, M. R., Tanton, R., Steel, D., Mokhtarianc, P. & Das, S. (2017) “An Unconstrained Statistical Matching Algorithm for Combining Individual and Household Level Geo-Specific Census and Survey Data”. Computers, Environment & Urban Systems, 63: 3-14.

Akhter, S., Raihan F., Sohel, M.S.I., Syed, M.A., Das, S., & Alamgir, M. (2013) “Coping with climate change by using indigenous knowledge of ethnic communities from in and around Lawachara National Park of Bangladesh”. Journal of Forest Science, 29(3):181-193.

Kayes, I., Deb, J.C., Comeau, P., Das, S., & Alamgir, M. (2012) “Comparing normal, lognormal andWeibull distributions for fitting diameter data from Akashmoni plantations in the north-eastern region of Bangladesh”. Southern Forests: A Journal of Forest Science, 74(3):175-181.

Hossain, M.Z., Das, S., & Ahmed, J.U. (2012) “Application of analytic hierarchy process in identification of productive investment sector: A case study of Sylhet in Bangladesh”. Int. J. of Business Innovation & Research, 6 (5):499-513.

Das, S., & Rahman, M.R. (2011) “Application of Ordinal Logistic Regression Analysis in Determining Risk Factors of Child Undernutrition in Bangladesh”. Nutrition Journal, 10:124.

Das, S., Hossain, M.Z., & Nesa, M.K. (2009)“Levels and Trends in Child Malnutrition in Bangladesh”. Asia Pacific Population Journal, 24(4), 301-323.

Das, S., Hossain, M.Z., & Islam, M.A. (2008) “Predictors of Child Chronic Malnutrition in Bangladesh”. Proc. of Pakistan Academy of Science, 45(3):137-155, 2008.

Das, S., & Hossain, M.Z. (2008) “Levels and determinants of child undernutrition in Bangladesh”. Pakistan Journal of Statistics, 24 (4):301-323.

Das, S., Baten, M.A., Rana, M.M. & Kheleque, M.A. (2008) “Analysis of the Growth of Manufacturing Industries in Bangladesh”. South Asia Economic Journal, 9(1):85-109.

Baten, M.A., Rana, M.M., Das, S., & Kheleque, M.A. (2006) “Technical efficiency of some selected manufacturing industries in Bangladesh: a stochastic frontier analysis”. Lahore Journal of Economics, 11(2):23-41.

Currently working in the National Health and Medical Research Council (NHMRC) Ideas Grant research project titled “Filling in the blanks: a spatial visualisation tool to align national health outcome data with regional health policy objectives” 

CASS HRC Research Development Workshop Program, ANU (September 2021)

World Bank TFSCB Fund for 61th ISI Conference, Marrakesh, Morocco (July 2017)

Award for Excellence in Postgraduate Research from SSAI, NSW (November 2015)

International Statistical Institute (ISI)

American Statistical Association (ASA)

Statistical Society of Australia (SSA)

Currently teaching Life Course Analytics (DEMO 08092) as a Guest Lecturer

Updated:  16 May 2023/Responsible Officer:  Head of School/Page Contact:  CASS Marketing & Communications