Statistics

    Faculty Profile

    Sumonkanti Das, PhD

    Associate Professor

    Contact Information:

    • Office Address: Room # 301, C Building, Department of Statistics, Shahjalal University of Science & Technology 3114 Bangladesh
    • Phone: +8801818824282
    • Email: sumonkanti-sta@sust.edu

    Biography:

    December 2017 - Associate Professor, Department of Statistics, Shahjalal University of Science & Technology (SUST), Bangladesh
    November 2016-December 2017: Assistant Professor, Department of Statistics, Shahjalal University of Science & Technology (SUST), Bangladesh
    July 2012-October 2016: PhD studies in Statistics, University of Wollongong, Australia

    Education:

    • PhD in Statistics, University of Wollongong, Australia
    • M.S. in Statistics, Shahjalal University of Science & Technology, Bangladesh
    • B.Sc. (Honours) in Statistics, Shahjalal University of Science & Technology, Bangladesh

    Research Interests:

    • Multilevel Modelling for Clustered Data
    • Small Area Estimation, Mean Squared Error Estimation
    • Public Health and Child Nutrition

    Previous Research Project

    1. An evaluation of the health status of adolescents of the North-Eastern part of Bangladesh; , Funded by SUST Research Center, Period: May - November, 2018
    2. Assessment of Child Morbidity and Undernutrition Status In Different Administrative Tiers Of Sunamganj District Through Small Area Estimation Technique, Funded by MoST, GoB, Period: January - December, 2018
    3. An Extension to World Bank Small Area Estimation Method for analysing Spatial Distribution of Diarrhoea Prevalence among Under-5 Children in Bangladesh, Funded by SUST Research Center, Period: September 2017- July, 2018

    External Affiliations:

    • Honourary Fellow, School of Mathematics and Applied Statistics, Univesirty of Wollongong, Australia
    • Postdoctoral Research Fellow, School of Business and Economics, Maastricht University, The Netherlands

    Awards & Recognition:

    • World Bank Travel Fund Award (TFSCB) for ISI Conference 2017, Morocco
    • Award for Excellence in Postgraduate Research from SSAI, NSW November 2015
    • International Postgraduate Tuition Award; July 2012 - July 2016
    • University Postgraduate Award; July 2012 to January 2016
    • Dean Award- Book Prize 2003 (provided in 2006), SUST
    • Vice Chancellors Medal 2003 (provided in 2006), SUST

    Journal Publications

    1. Disaggregated level child morbidity in Bangladesh: An application of small area estimation method
    2. Disaggregate level estimates and spatial mapping of food insecurity in Bangladesh by linking survey and census data
    3. Modelling the number of antenatal care visits in Bangladesh to determine the risk factors for reduced antenatal care attendance
    4. Does financial inclusion increase financial resilience? Evidence from Bangladesh
    5. A Comparison of Methods for Poverty Estimation in Developing Countries
    6. District level estimates and mapping of prevalence of diarrhoea among under-five children in Bangladesh by combining survey and census data
    7. Estimation of Child Undernutrition at Disaggregated Administrative Tiers of a North-Eastern District of Bangladesh: An Application of Small Area Estimation Method
    8. Correlates of stunting and underweight among under five children in a north-eastern district of Bangladesh
    9. Multi-level models can benefit from minimizing higher-order variations: an illustration using child malnutrition data
    10. On selection of an appropriate logistic model to determine the risk factors of childhood stunting in Bangladesh
    11. Robust Mean Squared Error Estimation for ELL-based Poverty Estimates Under Heteroskedasticity-An Application to Poverty Estimation in Bangladesh
    12. Namazi-Rad, M. R., Tanton, R., Steel, D., Mokhtarian, P., & Das, S. (2017). An unconstrained statistical matching algorithm for combining individual and household level geo-specific census and survey data. Computers, Environment and Urban Systems, 63, 3-14.
    13. Bhowmik, K. R., & Das, S. (2017). On exploring and ranking risk factors of child malnutrition in Bangladesh using multiple classification analysis. BMC Nutrition, 3(1), 73.
    14. Das, S. and Chambers, R. (2017), Robust mean-squared error estimation for poverty estimates based on the method of Elbers, Lanjouw and Lanjouw. J. R. Stat. Soc. A, 180: 11371161. doi:10.1111/rssa.12311.
    15. Bhuia, M. R., Das, S., Rahman, K., Alam, K., Kawsar, L. A., & Hossain, M. (2016). An Assessment of the Importance of Admission Test for Enrollments in Public Universities of Bangladesh. Journal of Education and e-Learning Research, 3(1), 9-16.
    16. Das, Sumonkanti, Robust inference in poverty mapping, Doctor of Philosophy thesis, , University of Wollongong, 2016. http://ro.uow.edu.au/theses/4822
    17. Akhter, S., Raihan, F., Sohel, M. S. I., Syed, M. A., Das, S. K., & Alamgir, M. (2013). Coping with climate change by using indigenous knowledge of ethnic communities from in and around Lawachara National Park of Bangladesh. J. For. Sci, 29(3), 181-193.
    18. Hossain, M. Z., Das, S. K., & Ahmed, J. U. (2012). Application of analytic hierarchy process in identification of productive investment sector: a case study of Sylhet in Bangladesh. International Journal of Business Innovation and Research, 6(5), 499-513.
    19. Kayes, I., Deb, J. C., Comeau, P., & Das, S. (2012). Comparing normal, lognormal and Weibull 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.
    20. Das, S., & Rahman, R. M. (2011). Application of ordinal logistic regression analysis in determining risk factors of child malnutrition in Bangladesh. Nutrition journal, 10(1), 124.
    21. Das, S., Hossain, M. Z., & Nesa, M. K. (2009). Levels and trends in child malnutrition in Bangladesh. Asia Pacific Population Journal, 24(2), 51-78.
    22. Das, S., Hossain, M. Z., & Islam, M. A. (2008). Predictors of child chronic malnutrition in Bangladesh. Proc. Pakistan Acad. Sci. 45(3):137-155.2008.
    23. 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), 85-108.
    24. Das, S., & Hossain, M. Z. (2008). Levels and Determinants of Child Undernutrition in Bangladesh. Pakistan Journal of Statistics, 24(4).

    Conference Proceedings

    1. Estimation of Child Undernutrition at Disaggregated Administrative Tiers of Sunamganj District in Bangladesh: An Application of Small Area Estimation Method
    2. Das, S. and Chambers, R. (2017) Extensions to ELL Method with application to Bangladesh Poverty Mapping. Bangladesh Statistical Association (BSA) Conference 2017, Dhaka, July 2017.
    3. Das, S., Chambers, R., & Salvati, N. (2017). Prediction of Finite Population Distribution Function under Multilevel Model. IISA Conference 2017 (In an Invited Session), Hyderabad, 28-30 December, 2017.
    4. Das, S., & Chambers, R. (2017). Small Area Poverty Estimation under Heteroskedasticity: An Application to Bangladesh. ISI WSC Conference 2017, Maraketch, Morocco, 16-21 July, 2017.
    5. Das, S. & Haslett, S. (2017). Comparison of alternative methods for poverty estimation in developing countries. Small Area Estimation Conference 2017, Paris, July 2017
    6. Das, S. & Chambers, R. (2015). Estimation of small area distribution functions under heteroskedasticity. Small Area Estimation Conference 2015, Santiago, Chile. August 2015.
    7. Das, S. & Chambers, R. (2015). A robust ELL methodology for poverty mapping. ISI World Statistics Congress (In an Invited Session), Rio, Brazil . July 2015.
    8. Das, S. and Chambers, R. (2014). Robust MSE estimation in ELL methodology for poverty mapping. ASPPAC Conference, Wagga Wagga, Australia December 2014.
    9. Das, S. (2014). Back transformation bias in poverty mapping. Small Area Estimation Conference 2014, Poznan, Poland September 2014.
    10. Das, S. (2014). A simulation study to compare contemporary small area methods. ASC-IMS Conference, Sydney, Australia July 2014.
    11. Das, S. (2013). Selection of small area estimation method for poverty mapping. Small Area Estimation Conference 2013, Bangkok, Thailand September 2013.

    Teaching

    • STA 332: Statistical Computing I
    • STA 433: Experimental Design and Analysis of Variance

    Graduate Supervision

    1. Shishir Shaha (2011): Comparative Study of ARIMA & ANN Models, M.S. in Statistics (Thesis)