Hi, I'm Md. Ismail Hossain Riday

A researcher and educator with a strong background in Statistics. I have completed by BS and MS in Statistics from Jagannath University, Bangladesh, and currently doing Ph.D. in Mathematical Sciences (Statistics) at Mississippi State University, USA. My research interests center on the intersection of data science, medical and public health applications, longitudinal data analysis, and Bayesian inference. Although I am still exploring potential directions for my Ph.D. dissertation, I am actively engaged in collaborative research with teams in Bangladesh and Canada. My long-term goal in to advanced statistical research and education, develop innovative methodologies, and mentor the next generation of data-driven problem solvers. I always welcome visitors, fellow researchers, and collaborators. If you are interested in working with me or making me part of your team, feel free to connect, I look forward to exploring ideas together!

Professional Experiences

Lecturer (Adjunct)

Department of Mathematics and Natural Sciences, BRAC University, Bangladesh

September 2023 to May 2025

Lecturer (Adjunct)

Department of CSE, Daffodil International University, Bangladesh

July, 2023 to December, 2023

Research Officer

National Institute of Population Research and Training (NIPORT)

November, 2022 to June, 2023

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Research Expertise

Good for nothing… except crunching data, building models, and making sense of messy numbers. Specially on, but not limited to:

Awards

Prime Minister Gold Medal Award, 2019
National Science and Technology (NST) Fellowship award
University Grants Commission (UGC) Merit Scholarship, Bangladesh, 2019
Jagannath University, Bangladesh, Merit Scholarship - 2018
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Journal Publications/Book Chapters

Individual- and community-level factors associated with the presence of adequate iodized salt in households in Bangladesh: a multilevel modelling approach

https://doi.org/10.1093/inthealth/ihae016

Title

Hossain, M.I., Rahman, A., Uddin, M.S.G., Zinia, F.A. (2023). Double burden of malnutrition among women of reproductive age in Bangladesh: A comparative study of Classical and Bayesian Logistic Regression approach.

Title

Hossain, M.I., Islam, M.R., Saleheen, A.A.S., Rahman, A., Zinia, F.A., Urmy, U.A. (2023) Determining the risk factors of under-five morbidity in Bangladesh: a Bayesian logistic regression approach.

Title

Hossain, MI, Rahman, T, Sadia, TS, Saleheen, AAS., et al. (2024) Survival analysis of early intention of antenatal care among women in Bangladesh.

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Conference Presentation

Title

Sub-national projection of under-five mortality in Bangladesh: a comparison of AR and RW model based on nationally representative survey data. (2021).

Title

Performance evaluation of machine learning approaches for predicting and determinants of non-institutional delivery in Bangladesh. (2022).

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Research Network

Azizur Rahman

Senior Data Scientist, Social Innovation Office, Digital, Organization and Strategy, Department of Families, 332 Bannatyne Avenue, Winnipeg, MB, R3A 0W5

Project: Application of Variational Bayes to Partially Observed Functional Data

Profile

Azizur Rahman

Senior Data Scientist, Social Innovation Office, Digital, Organization and Strategy, Department of Families, 332 Bannatyne Avenue, Winnipeg, MB, R3A 0W5

Project: Application of Variational Bayes to Partially Observed Functional Data

Profile

2.5 Years+


Years of research experience.

30+


Journal publications.

01


Books/Chapters.

04


Conference presentations.