EXTERNAL PROFILES
Assistant Professor
Shohel Mahmud
Shohel Mahmud is an Assistant Professor in the Department of Statistics at Noakhali Science and Technology University, Bangladesh. His research focuses on Biostatistics, Public Health, Data Science and Machine Learning applications, and he has published several articles in these fields. He previously worked at icddr,b and IEDCR, contributing to epidemiological and health research.
Statistics
BIOGRAPHY
Shohel Mahmud is an Assistant Professor in the Department of Statistics at Noakhali Science and Technology University (NSTU), Bangladesh. He completed his graduation and post-graduation in Statistics from Jahangirnagar University. Before joining NSTU, he worked at the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) and the Institute of Epidemiology, Disease Control, and Research (IEDCR), where he contributed to public health and epidemiological research. His research interests include biostatistics, public health, machine learning applications, and statistical bioinformatics. He has published several research articles in peer-reviewed journals. At NSTU, he teaches courses in Design of Experiment, Biostatistics, Probability Distribution, Computer Programming, Econometrics, Statistical Bioinformatics, and Advanced Sampling Theory. In addition to his teaching and research, he is an active member of the NSTU Ranking Cell and has successfully completed multiple research projects funded by NSTURC, with new proposals under consideration. Beyond academia, Shohel Mahmud is passionate about mentoring students, promoting research culture, and applying statistical methods to solve real-world health and social issues.
RESEARCH INTERESTS
2016 - 2017
Master of Science
Statistics
Jahangirnagar University
2013 - 2016
Bachelor of Science
Statistics
Jahangirnagar University
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AWARDS AND ACHIEVEMENTS
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Multilevel modeling and mediation analysis of acute respiratory infections among under five children in Bangladesh: evidence from multiple indicator cluster survey
Applying machine learning to predict quality ANC determinants in Bangladesh: a BDHS-2022 cross-sectional study
Knowledge and beliefs of the city dwellers regarding dengue transmission and their relationship with prevention practices in Dhaka city, Bangladesh
Socioeconomic and demographic risk factors of autism spectrum disorder among children and adolescents in Bangladesh: evidence from a cross-sectional study in 2022
Online gaming and its effect on academic performance of Bangladeshi university students: A cross-sectional study
Influencing factors associated with maternal delivery at home in urban areas: a cross-sectional analysis of the Bangladesh Demographic and Health Survey 2017--2018 data
Effectiveness of a multi-modal capacity-building initiative for upgrading biomedical waste management practices at healthcare facilities in Bangladesh: a 21st century challenge for developing countries
Predicting the rice production of bangladesh by machine learning technique
Identifying determinants of malnutrition in under-five children in Bangladesh: insights from the BDHS-2022 cross-sectional study
Effectiveness of social and behavioral change communication intervention to promote the use of 7.1\% chlorhexidine for umbilical cord care in hard-to-reach rural Bangladesh: A mixed method study
Uncovering Risk Factors for Heart Disease and Predicting Outcomes Using Machine Learning Approaches
Exploring physical and phycological condition of Jahangirnagar University students residing near university area during COVID-19 pandemic
Performance evaluation of different seasonal adjustment techniques
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- Institutional Email: smahmud@nstu.edu.bd
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- Mobile number: 01933020140
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Department
Statistics
Noakhali Science and Technology University