Md Salek Miah — Statistician & Public Health Researcher
Welcome to My Academic Portfolio
I am a Statistician and Machine Learning Specialist at Shahjalal University of Science and Technology (SUST), Sylhet, Bangladesh, specializing in Epidemiology, Public Health, and Spatial Data Analysis. My research harnesses advanced machine learning, explainable AI (XAI), and complex survey methods to investigate health disparities in low- and middle-income countries (LMICs).
🔬 Research Interests
- Maternal & Child Health — Skilled birth attendance, antenatal care, low birth weight, child undernutrition
- Mental Health Epidemiology — Depression, anxiety, intimate partner violence, women’s empowerment
- Machine Learning in Public Health — XGBoost, Random Forest, SHAP/LIME, imbalanced survey data
- Spatial Inequalities — Geospatial mapping of health disparities across Bangladesh, Nepal, Zambia, Burkina Faso, Mozambique
- WASH & Environmental Health — Water quality, handwashing access, child stunting
- Explainable AI (XAI) — Interpretable models for health policy and decision-making
Recent Highlights
- 2 Published Scopus/WoS-indexed journal articles (Springer Nature, Wiley)
- Seceral Manuscripts Under Review in Q1 journals (Scientific Reports, BMJ Global Health, PLOS ONE, BMC Women’s Health, Global Mental Health, Archives of Women’s Mental Health)
- Invited Peer Reviewer — Cambridge Prisms: Global Mental Health (Cambridge University Press), March 2026
- Winner — DNA Day Writing Contest, ISCB RSG Bangladesh, 2025
- Runner-up — Poster Competition, 6th Bangladesh Economics Summit, 2025 (Prize: 10,000 BDT)
- Presented at 5+ international conferences including Al Farabi Congress, Türkiye (2025)
Research Collaborator — ELITE Research Lab (Generative AI, XAI, NLP) CSBD (Canada-affiliated) DataKothon Research Lab
🎓 Education
B.Sc. (Honours) in Statistics
Shahjalal University of Science and Technology (SUST), Sylhet, Bangladesh · 2021–Present
- Current Standing: Final Year, B.Sc. in Statistics
- Academic Performance: GPA ≥ 3.75/4.00 in all major statistical courses (Probability, Regression, Statistical Inference, Sampling, Design of Experiments)
Advanced Coursework: Machine Learning, Epidemiological Methods, Research Methodology, Data Science, Demography, Stochastic Processes
Technical Skills
| Area | Tools & Technologies |
|---|---|
| Statistical Programming | R (tidyverse, survey, lme4, spdep), Python (pandas, scikit-learn, geopandas), STATA, SPSS |
| Machine Learning | XGBoost, Random Forest, SVM, Neural Networks, H2O.ai, Caret |
| Explainable AI | SHAP, LIME, DALEX |
| Geospatial Analysis | ArcGIS Pro, QGIS, sf, tmap, geopandas, folium |
| Data Visualization | ggplot2, Plotly, Tableau, Power BI, Seaborn |
| Research Tools | LaTeX/Overleaf, R Shiny, Git, Docker, Dagitty, Jupyter |
Selected Projects
- 🔗 AquaLens — Water Quality Intelligence Platform (Buriganga River)
- 🔗 Interactive Statistical Calculator
- 🔗 MovieLens Recommendation System
- 🔗 Weather Monitoring & Forecast App
Contact
Feel free to reach out for research collaborations, manuscript discussions, or PhD opportunities:
- 📧 Email: saleksta@gmail.com
- 🌐 Portfolio: salek-protfolio.vercel.app
- 🔬 ORCID: 0009-0005-5973-461X
- 📊 ResearchGate: Profile
- 🌍 Web of Science: Author Record