Faculty Profile
Rubia Yasmin
M.Sc & B.Sc in Statistics (PUST)
Lecturer
Department of Statistics
Pabna University of Science and Technology
Pabna, Bangladesh
Contact Information
rubia.stat@pust.ac.bd (Office)
rubiayasmin0179@yahoo.com (Personal)
Total Publications: 8
Education (2)
- Master of Science (Thesis), Department of Statistics, Pabna University of Science and Technology, Pabna, Dhaka, Bangladesh
- Bachelor of Science in Statistics, Department of Statistics, Pabna University of Science and Technology, Pabna, Dhaka, Bangladesh
Teaching Experience (2)
- Lecturer, Department of Statistics, Pabna University of Science and Technology, 8 February, 2026 to present.
- Lecturer, Dept. of GED, City University, Khagan, Savar, Dhaka, Bangladesh (14/02/2025 to 25/01/2026)
Administrative or Other Experience (1)
- Assistant Provost, Gonotontro Hall, Pabna University of Science & Technology, Pabna.( March 2026 to Present)
Research Interests (5)
- Artificial Intelligence
- Public Health
- Deep Transfer Learning
- Big Data Analysis
- Machine Learning
Journal Articles (6)
- Amin, R., Yasmin, R., Ruhi, S., Rahman, M. H., & Reza, M. S. (2023). Prediction of chronic liver disease patients using integrated projection based statistical feature extraction with machine learning algorithms. Informatics in Medicine Unlocked, 36, 101155. Elsevier.
- Yasmin, R., Amin, R. and Reza, M.S*, 2022. Effects of hybrid non-linear feature extraction method on different data sampling techniques for liver disease prediction. Journal of Future Sustainability.
- Yasmin, Rubia, Ruhul Amin, and Md Shamim Reza. "Design of Novel Feature Union for Prediction of Liver Disease Patients: A Machine Learning Approach." The Fourth Industrial Revolution and Beyond: Book Chapter: Springer Nature Singapore.
- Shamim Reza, M., Hafsha, U., Amin, R., Yasmin, R., & Ruhi, S. (n.d.). Improving SVM performance for type II diabetes prediction with an improved non-linear kernel: Insights from the PIMA dataset. Computer Methods and Programs in Biomedicine Update.
- Reza, M. S., Amin, R., Yasmin, R., Kulsum, W., & Ruhi, S. (2024). Improving diabetes disease patients classification using stacking ensemble method with PIMA and local healthcare data. Heliyon. ScienceDirect.
- Yasmin, R., Amin, R. and Reza, M.S*, 2021. Effects of Integrated Kernel PCA Function on Data Sampling Techniques for Liver Disease Prediction. BAUET Journal.
Conference Proceedings (2)
- Reza M.S, Yasmin R., Amin R.: Design of Nobel Feature Union for Prediction of Liver Disease Patients: A Machine Learning Approach, 4th Industrial Revolution and Beyond (IC4IR), On the 100th Birth Anniversary of the Father of the Nation of Bangladesh, Bangabandhu Sheikh Mujibur Rahman and 50th anniversary of independence of the country, Organized by University Grant Commission (UGC), December, 2021.
- Yasmin R., Reza, M. S. et al. (2024). Diagnosing Tuberculosis from Chest X-Ray Images with Deep Transfer Learning Based Feature Extraction, 8th International Conference on “The Role of Statistics and Data Science in 4IR. , RU, P-130.
