Pabna University of Science and Technology

Faculty Profile

Dr. Sabba Ruhi

B.Sc(Hons.) and M.Sc in Statistics (RU), PhD (RU)

Professor

Department of Statistics

Pabna University of Science and Technology

Pabna, Bangladesh

Contact Information

+8801710380934 (Personal)

sabba.ruhi@pust.ac.bd (Office)

sabba.ruhi@gmail.com (Personal)

Total Publications: 19

Total Publications (19)

15
4

Biography (1)

  • Dr. Sabba Ruhi is an Associate Professor of the Department of Statistics, Pabna University of Science and Technology, Pabna, Bangladesh. She received her PhD from University of Rajshahi, Bangladesh in 2017. She completed her B.Sc. and M.Sc. degrees in Statistics from Rajshahi University, Bangladesh in 2007 and 2008, respectively. Her research interests on Biostatistics, Reliability and Survival Analysis.

Education (3)

  • PhD, Department of Statistics, Faculty of Science, University of Rajshahi, Bangladesh.
  • Master of Science (Thesis), Dept. of Statistics, Rajshahi University, Rajshahi, Bangladesh
  • Bachelor of Science, Department of Statistics, Rajshahi University, Rajshahi, Bangladesh.

Teaching Experience (3)

  • Associate Professor, Dept. of Statistics, Pabna University of Science and Technology, Pabna, Bangladesh (15/03/2021 to present)
  • Assistant Professor, Dept. of Statistics, Pabna University of Science and Technology, Pabna, Bangladesh (09/09/2015 to 14/03/2021)
  • Lecturer, Dept. of Mathematics, Pabna University of Science and Technology, Pabna, Bangladesh (01/09/2013 to 08/09/2015)

Administrative or Other Experience (2)

  • Chairman, Dept. of Statistics, Faculty of Science, Pabna University of Science and Technology, Pabna (07/04/2018 to 14/08/2020)
  • Chairman, Dept. of Statistics, Faculty of Science, Pabna University of Science and Technology, Pabna (15/08/2017 to 08/10/2017)

Research Interests (3)

  • Biostatistics
  • Reliability and Survival Analysis
  • Statistical Learning Theory

Active Research Project (1)

  • Classification of Liver Disease Patient Using Machine Learning: A Case Study

Previous Research Project (1)

  • Diagnosis of Diabetics and Their Risk Factors Using Various Classification Techniques in perspective of Bangladeshi Adults

Awards & Recognition (2)

  • Gold Medalist, Tapasi Rabeya Hall Talent Award-2007, Rajshahi University, Rajshahi.
  • University Merit Scholarship: Under studying in B.Sc. and Master of Science degree.

Journal Articles (15)

  • Mauya, J., Amin, R., Hossain, Ruhi, S., Shamim, M.S. (2025) Improved multiscale attention based deep learning approach for automated sugarcane leaf disease detection using BSRI data. Scientific Reports (2025). Q1 Ranked..
  • Reza, M. S., Amin, R., Yasmin, R., Kulsum, W., & Ruhi, S*. (2024). Improving diabetes disease patient’s classification using stacking ensemble method with PIMA and local healthcare data. Heliyon, 10(2). Q1 Ranked.
  • Sahriar, S., Akther, S., Mauya, J., Amin, R., Mia, M. S., Ruhi, S., & Reza, M. S. (2024). Unlocking stroke prediction: Harnessing projection-based statistical feature extraction with ML algorithms. Heliyon, Elsevier, Q1 ranked
  • Mauya, J., Sahriar, S., Akther, S., Amin, R., Ruhi, S. and Reza, M.S. (2024), Missing Risk Factor Prediction in Cardiovascular Disease Using a Blended Dataset and Optimizing Classification With a Stacking Algorithm. Engineering Reports e13034. John Wiley and Sons Publishers. Q2 ranked.
  • Reza, M., Tasnim, M., Afroz, M., & Ruhi, S*. (2024). Exploring nomophobia among university students: Identifying risk factors, correlates, and predictive insights through machine learning. Journal of Future Sustainability, 4(4), 243-250.
  • 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,Q2 (Scimago)
  • Reza, M.S., Ruhi. S. (2019): ICA on FA for Feature Extraction in Supervised Classification. International Journal of Innovative Studies in Sciences and Engineering Technology (IJISSET), vol. 5, issue 8, pp. 29-32, ISSN 2455-4863.
  • Reza M.S., Ruhi S.: “Study of Multivariate Data Clustering Based on K-Means and Independent Component Analysis”, American Journal of Theoretical and Applied Statistics, Vol. 4, No. 5, 2015, pp. 317-321. ISSN Print: 2326-8999, ISSN Online: 2326-9006, 2015.
  • Reza M.S., Ruhi S.: “Multivariate Outlier Detection Using Independent Component Analysis”, Science Journal of Applied Mathematics and Statistics, Vol. 3, No. 4, ISSN Print: 2376-9491, ISSN Online: 2376-9513, pp. 171-176. (2015).
  • Ruhi S., Reza M.S.: “Comparative Study of Clustering Techniques in Multivariate Data Analysis”, International Journal of Engineering Sciences and Research Technology, Vol. 4,No. 8, 2015, pp. 698-703. ISSN: 2277-9655 (2015).
  • Reza, Md Shamim, Umme Hafsha, Ruhul Amin, Rubia Yasmin, and Sabba Ruhi. "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 4 (2023): 100118. Q2 Ranked
  • Ruhi, S., & Karim, M. R. (2016). Selecting statistical model and optimum maintenance policy: a case study of hydraulic pump. SpringerPlus, 5(1), 969. ISSN: 2193-1801.
  • Ruhi S., Sarker S., Karim M. R. (2015). “Mixture Models for Analyzing Product Reliability Data - A Case Study.” Springerplus , DOI 10.1186/s40064-015-1420-x”. ISSN: 2193-1801.
  • Ruhi S. (2015). Application of Mixture Models for Analyzing Reliability Data: A Case Study, Open Access Library Journal (OALIB), Volume 2: e1815, DOI: 10.4236/oalib.1101815. ISSN: 2333-9705 (print), ISSN: 2333-9721 (online).
  • Ruhi S. (2015). Application of Multiplicative Models for Analyzing Product Failure Data: A Case Study, Bulletin of Mathematics and Statistics Research, Vol. 3, Issue.3, 2015, pp. 111-117. ISSN: 2348-0580

Conference Proceedings (4)

  • S., Akther, Ruhi, S., & Reza, M. S. (2024). Identification of Predisposing Risk Factors of Hepatitis C Virus (HCV) Using Statistical Approaches and Its Grading Classification with Machine Learning. 8th International Conference on “The Role of Statistics and Data Science in 4IR. P-74.
  • Sahriar, M. S., Ruhi, S., & Reza, M. S. (2024). Developing an online tool for farmers to early detection of rice leaf diseases using advanced deep learning Techniques: A case study in Bangladesh. 8th International Conference on “The Role of Statistics and Data Science in 4IR. P-73.
  • Mauya, J., Ruhi, S., & Reza, M. S. (2024). Automated Sugarcane Disease Detection from Leaf Images with Advanced Deep Learning Technique: A Study at the BSRI Data. 8th International Conference on “The Role of Statistics and Data Science in 4IR. P-76.
  • Ruhi, S., Sayadat S.M, Aziz T. and Karim M.R. (2012). Application of Mixtures Models for Analyzing Reliability Data, Proceedings (peer reviewed): International Conference Statistical Data Mining of Bioinformatics Health Agriculture and Environment. ISBN: 978-984-33-5876-9. pp 549-554.

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