Md Tuhin Sheikh

Office: On study leave
Phone:
Email: mdtuhin.sheikh@uconn.edu

Research Interests

Competing risks survival data analysis, longitudinal data analysis, Bayesian computation, joint modeling of longitudinal and survival data, deep neural network modeling, microbiome data analysis, interim analysis in clinical trials, and public health.

Education

Ph.D. in Statistics, August 2017 – Present, University of Connecticut, Storrs, Connecticut 06269, USA.
Advisor: Dr. Ming-Hui Chen, Board of Trustees Distinguished Professor and Head, Department of Statistics, University of Connecticut, Storrs, CT, USA.
M.S. in Applied Statistics, 2014, ISRT, University of Dhaka, Dhaka 1000, Bangladesh, Thesis Supervisor: Dr. Mahbub Latif.
B.S. in Applied Statistics, 2013, ISRT, University of Dhaka, Project Supervisor: Dr. Tamanna Howlader.

Experience

[Aug, 2017 – Present] Teaching and Research Assistant, Department of Statistics, University of Connecticut, Storrs, CT.
[Aug, 2015 – Present] Lecturer of Applied Statistics, Institute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh.

Publications

Methodology:

Sheikh, M. T., Chen, M. H., Gelfond, J. A., and Ibrahim, J. G. (2021). A Power Prior Approach for Leveraging External Longitudinal and Competing Risks Survival Data within the Joint Modeling Framework. Statistics in Biosciences, doi: https://doi.org/10.1007/s12561-021-09330-6.
Sheikh M. T., Ibrahim J. G., Gelfond J. A., Sun W., and Chen M-H. (2021). Joint modelling of longitudinal and survival data in the presence of competing risks with applications to prostate cancer data. Statistical Modelling, 21(1–2): 72–94. doi: 10.1177/1471082X20944620.

Applications:

Khan, J. R., Awan, N., and Sheikh, M. T. (2019). A multilevel and spatial analysis of the infant and young child feeding practices and associated factors among the under-2 aged children in Bangladesh. Child Care in Practice. doi: https://doi.org/10.1080/13575279.2019.1680528.
Khan, J. R., Sheikh, M. T., and Muurlink, O. (2019). Breastfeeding termination and its determinants in Bangladesh: current status data modeling. Early Child Development and Care. doi: https://doi.org/10.1080/03004430.2019.1595609
Khan, J. R., Biswas, R. K., Sheikh, M. T., and Huq, M. (2019). Factors associated with the availability of iodized salt at household level: A case study in Bangladesh. Public Health Nutrition. doi: 10.1017/S1368980018003907
Sheikh, M. T., Uddin, M. N., and Khan, J. R. (2017). A comprehensive analysis of trends and determinants of HIV/AIDS knowledge among the Bangladeshi women based on Bangladesh Demographic and Health Surveys, 2007-2014. Archives of Public Health, 75 (59): 1-11. doi: 10.1186/s13690-017-0228-2

Honors and Awards

IBM Student Research Award, at the New England Statistics Symposium 2021.
ISBA 2022 Travel Award, awarded by the International Society for Bayesian Analysis.
Trainers’ Award (with a scholarship) for conducting the workshop on Introduction to R at the UConn Sports Analytics Symposium 2019.
Outstanding Teaching Award (with a scholarship), Department of Statistics, UConn, 2019.
UConn Provost’s Letter of Appreciation for excellence in teaching in Spring 2019, Fall 2019, and Spring 2018.
First Prize in Young Statistician Award, Second International Conference on Statistics 2015, Dhaka University Statistics Department Alumni Association, for the paper titled “Effect of Longitudinal Blood Glucose Levels on Diabetes Complication: A Joint Modelling Approach”.
Dean’s Award-2015, Faculty of Science, University of Dhaka, awarded for outstanding performance in B.S. (Honors) in Applied Statistics, 2013.
University of Dhaka Talent Pool Scholarship, awarded for the result of B.S. (Honors) in Applied Statistics, 2013.
ISRT merit scholarship for B.S. (Honors) results, 2011, 2012, 2013 & 2014.
Eastern Bank Limited (EBL) and Dhaka University Alumni Association (DUAA), EBL-DUAA scholarship for B.S (Honors) 2nd (2012) and 3rd (2013) year results.
Moulavi Ahmed Ullah Memorial Trust Fund Scholarship for B.S. (Honors) 2nd year result, 2012.
University of Dhaka Undergraduate Scholarship for B.S. (Honors) 1st year result, 2011.

Theses

[M. S. Thesis]: “Standard Error Estimations under Joint Modeling Setting with an Application to Diabetes Data”, M.S. Thesis, ISRT, University of Dhaka, Bangladesh, 2015. Supervisor: Dr. Mahbub Latif.
[B.S. Project]: “Comparative Study of Image Histogram Equalization Techniques”, B.S. Project, ISRT, University of Dhaka, Bangladesh, 2013. Supervisor: Dr. Tamanna Howlader.

Conferences/Talks

“A comprehensive analysis of trends and determinants of HIV/AIDS knowledge among the Bangladeshi women based on Bangladesh Demographic and Health Surveys, 2007-2014”, Symposium on Data Science and Statistics, May 16-19, 2018, Reston, Virginia, US.
“Standard Error Estimations of Joint Model for Longitudinal and Survival Outcomes”, the Second International Conference on Theory and Applications of Statistics, 2015; organized by Dhaka University Statistics Department Alumni Association (DUSDAA), 27-29 December, 2015, Dhaka, Bangladesh.

“Standard Error Estimations under Joint Modeling Setting with an Application to Diabetes Data”, ISRT, University of Dhaka, March 15, 2015, Dhaka, Bangladesh.

“Joint Modeling of Longitudinal and Survival Outcome with Applications to Diabetes Data”, International Conference on Applied Statistics (ICAS), 27-29 December, 2014, Dhaka, Bangladesh.

“Comparative Study of Image Histogram Equalization Techniques”, ISRT, University of Dhaka, August 22, 2013, Dhaka, Bangladesh.

Workshop

Conducted a workshop on “Introduction to R” as part of the UConn Sports Analytics Symposium in 2019, 2020, and 2021.

Teaching

UConn:

ISRT:

AST 103: Programming with C [2016, 2017].
AST 232: Statistical Computing V (design and analysis of experiment) [2016, 2017].
AST 332: Statistical Computing VIII (population studies and sampling technique) [2016].
AST 402: Statistical Inference II [2017].
AST 406: Industrial Statistics and Operational Research [2016].

Membership

Life Member, Bangladesh Statistical Association.

Institute of Statistical Research and Training