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

Graduate Teaching Assistant

Department of Mathematics & Statistics, Mississippi State University, USA

August 2025 to Present

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:

Functional Data Analysis
Stochastic Modeling (Multi-State Markov Models)
Machine learning (supervised learning algorithms)
Classical & Bayesian applications
Small Area Estimation and Spatiotemporal Smoothing
Epidemiologic and Time Series Modeling

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

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

I presented my research at the 2021 International Population Conference (IPC), organized by the International Union for the Scientific Study of Population (IUSSP). This oral presentation highlighted methodological comparisons between Autoregressive (AR) and Random Walk (RW) models for forecasting regional variations in under-five mortality across Bangladesh using nationally representative survey data.

alternative
Performance evaluation of machine learning approaches for predicting and determinants of non-institutional delivery in Bangladesh

I presented my research at the 1st International Conference on Frontiers in Sciences (ICFS-2022), organized by the Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh. This oral presentation focused on evaluating and comparing various machine learning algorithms to identify key determinants and improve predictive accuracy for non-institutional deliveries in Bangladesh.

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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.

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