Department

Academic Staff

June 14, 2026, 3:12 a.m.
Sameera Abdulsalam Othman
Sameera Abdulsalam Othman (PhD)
None
Professor in Statistics

Mathematics
College of Basic Education
University of Duhok
[email protected]
ORCID
Google Scholar

  • PhD in Statistics, College of Science, University of Duhok, 2022.
  • MSc in Statistics, College of Science, University of Duhok, 2007.
  • BSc in mathematics, College of Science, Mosul University, 1992.

My teaching experience reflects a sustained and diverse engagement with mathematical and statistical education at both undergraduate and graduate levels. Over the years, I have taught a wide range of courses, including Statistics, Probability, Foundations of Mathematics, and several subjects offered through the Scientific Academy. Through these courses, I have focused on cultivating students’ analytical thinking, problem-solving abilities, and theoretical understanding. Within the Department of Mathematics, I have continuously adapted my teaching methods to meet the needs of learners with different academic backgrounds, ensuring clarity, engagement, and rigor. This breadth of experience has strengthened my commitment to fostering an intellectually stimulating learning environment and supporting the academic growth of future mathematicians and statisticians.

Beyond teaching and supervision, I have actively engaged in a variety of academic activities that contribute to the broader scholarly community. I have participated in research evaluation processes for both internal university journals and international outlets, including Springer Journals such as Computational Statistics, Springer Nature titles such as Discover Analytics, and Nonlinear Dynamics. In addition, I have taken part in academic workshops and served as a discussant in M.Sc. and Ph.D. thesis defenses.

These responsibilities have enabled me to support quality assurance in higher education, promote academic integrity, and contribute to the development of rigorous research standards. My involvement in these activities reflects a strong commitment to academic leadership and to fostering a culture of continuous improvement within the university environment.

Research

  1. Ali, H. T., & Othman, S. A. (2025). On the use of Yeo–Johnson transformation in the functional multivariate time series. Statistics, Optimization & Information Computing, 13, 2634–2646.
  2. Koran, M. M., Othman, S. A. ., & Ahmed, D. . (2025). Estimating Kappa Distribution Parameters: A Comparative Study of Maximum Likelihood and LQ-Moment Approaches. Statistics, Optimization & Information Computing, 14(1), 42–61.
  3. Othman, S. A. (2014). Comparison between models with and without intercept. General Mathematics Notes, 21(1), 118–127.
  4. Othman, S. T., Jameel, H. H., & Abdulazeez, A. (2024). Comparative analysis of univariate SARIMA and multivariate VAR models for time series forecasting: A case study of climate variables in Ninahvah City, Iraq. Mathematical Problems of Computer Science, 61, 27–49.
  5. Othman, S. A., Omar, K. M. T., & Abdulazeez, S. T. (2023). Reliability analysis and statistical fitting for the transmuted Weibull model in R. Mathematical Statistician and Engineering Applications, 72(2), 161–177.
  6. Othman, S. T., Qadir, S. T., & Abdulazeez, S. T. (2023). Comparative analysis of scaling parameter estimation for the Lindley distribution in wait time analysis: Simulated and real data applications. Tuijin Jishu/Journal of Propulsion Technology, 44(2), 309–320.
  7. Othman, S. A. (2024). Enhancing reliability engineering through Weibull distribution in R. Al-Rafidain Journal of Computer Sciences and Mathematics (RJCM), 18(1), 103–110.
  8. Taha Mohammed Ali, H., & Abdulsalam Othman, S. (2023). A New Approach of Power Transformations in Functional Non-Parametric Temperature Time Series. In Time Series Analysis - New Insights. IntechOpen. https://doi.org/10.5772/intechopen.105832
  9. Othman, S. A. (2024). An enhanced shrinkage function for denoising economic time series data using wavelet analysis. Science Journal of University of Zakho (SJUOZ), 12(1), 138–143.
  10. Othman, S. A., Othman, S. H. E. L. A. N., & Ismael, S. (2013). Forecasting rainfall using transfer function. Iraqi Journal of Statistical Sciences, 13(2), 17–44.
  11. Bassiouny, E., Abou El-Ela, A. A., & Othman, S. A. (2011). Adequacy assessment of bulk electric power systems incorporating wind energy. In Proceedings of the 2011 IEEE GCC Conference and Exhibition (GCC) (pp. 279–282). IEEE.
  12. Othman, S. A. (2011). On detection of feedback in the time series. Territorial Planning and the Local Development, 14(1), 191. J. Duhok Univ. Pure and Eng. Sciences.
  13. Othman, S. A., & Mohammed Ali, H. T. (2023). On the use of power transformation models to improve the temperature time series. Statistics, Optimization & Information Computing, 11(3), 570–579.
  14. Othman, S. A., & Ali, H. T. M. (2021). Improvement of the nonparametric estimation of functional stationary time series using Yeo–Johnson transformation with application to temperature curves. Advances in Mathematical Physics, 2021, Article 6676400, 1–6.
  15. Ismaeel, S. S., Omar, K. M. T., & Othman, S. A. (2023). Detection of outlier in time series with application to Dohuk Dam using the SCA statistical system. General Letters in Mathematics, 13(2), 36–48.
  16. Othman, S. A., Mohammed, S. A., & Ismaeel, S. S. (2013). On forecasting by dynamic regression models. Journal of University of Anbar for Pure Science, 7(3), 152–165.
  17. Bassiouny, E., Abou El-Ela, A. A., & Othman, S. A. (2011). Reliability cost/worth evaluation of bulk power system at Zafarana site in Egypt. In Proceedings of the 2011 IEEE PES Conference on Innovative Smart Grid Technologies—Middle East (pp. 1–7). IEEE.
  18. Omar, K. M. T., & Othman, S. A. (2023). Comparative analysis of predictive performance in nonparametric functional regression: A case study of spectrometric fat content prediction. International Journal of Statistics in Medical Research, 12, 179–184.
  19. Othman, S. A. (2017). Comparison between forecasting ARIMA and ARIMAX method. ZANCO Journal of Pure and Applied Sciences, 28(6), 158–165.
  20. Bassiouny, E., Abou El-Ela, A. A., & Othman, S. A. (2011). Reliability cost/worth evaluation of bulk power system at Zafarana site in Egypt. In Proceedings of the 2011 IEEE PES Conference on Innovative Smart Grid Technologies—Middle East (pp. 1–7). IEEE.
  21. Othman, S. A., & Othman, A. (2023). Quantile moment estimation of new alpha power Weibull for bank assistance waiting time. Journal of Research Administration, 5(2), 8426.
  22. Othman, S. A., & Ali, H. T. M. (2020). Studying of nonparametric multivariate time series analysis with applications methodology. Journal of Xi’an University of Architecture & Technology, 12(6), 1500–1514.
  23. Othman, S. A. (2026). Enhancing building environmental simulation through climatic variable forecasting using ARIMA and VAR models with Box Cox pre-processing. Applied Mathematics & Information Sciences, 20(3), 607–617.
  24. Nader, M. N., Othman, S. A., & Omar, K. M. T. (2025). Modelling and reliability analysis of the two-parameter Lindley-binomial distribution. Statistics, Optimization & Information Computing, 14(3), 1110–1138.
  25. Hana, D., & Othman, S. A. (2025). Multivariate time series analysis of the USD/IQD exchange rate using VAR, SVAR, and SVECM models. Statistics, Optimization & Information Computing, 13(5), 1899–1915.
  26. Othman, A. A., Mosa, N. Y., Khalil, D. J., Othman, S. A., & Abdo, J. M. (2024). Evaluation of thrombocytopenia, D-dimer, inflammatory CRP, and CBC markers in COVID-19 cases, including patients from Iraq, using a case control methodology. Science Journal of University of Zakho, 12(4), 442–449.
  27. Othman, S. A., Jameel, H. H., & Abdulazeez, S. T. (2023). An efficient nonparametric multivariate functional regression with conditional expectation. Journal of Applied Probability and Statistics, 18(3), 31–49.
  28. Othman, S. A. (2016). Forecasting staff gauge reading in Duhok by using adaptive double exponential smoothing. Journal of University of Duhok (Pure and Engineering Sciences), 19(1), 143–153.
  29. Othman, S. A., & Mohammed, N. A. (2019). Comparative between Halton, Monte Carlo and Sobol sequences performance to solving integral dimensions. Journal of the College of Basic Education, (200).
  30. Othman, S. A. (2016). Two methods of detecting of feedback in dynamical model (with application in weather). Journal of University of Duhok, 1–17.
  31. Othman, S. A., Ismaeel, S. S., & Omer, K. M. T. (2014). Significant factors to affect the blood pressure. International Journal of Advances in Engineering & Technology, 7(2), 327.
  32. Othman, S. A., & Ismaeel, S. S. (2014). Studying the scientific state of students using the adjusted residuals. Mathematical Theory and Modeling, 4(4), 114–122.
  33. Othman, S. A. (2009). The comparison between Holt-Winters’ method and ARIMA models. Journal of University of Duhok.

My research interests lie primarily in the areas of Multivariate Data Analysis, Mathematical Statistics, Time Series Analysis, and Statistical Inference. I am particularly dedicated to the development, refinement, and application of advanced statistical methodologies for analyzing complex real-world datasets. My work seeks to bridge theoretical statistical principles with practical challenges across diverse disciplines, enabling more accurate modeling, prediction, and interpretation of data. This research trajectory reflects my long-term commitment to contributing to the advancement of statistical science and supporting evidence-based decision-making across academic and applied domains.

Supervision has been a central component of my academic career. From 2009 to 2025, I supervised numerous undergraduate students in the B.Sc. Mathematics program, guiding them through the critical stages of research design, analysis, and scientific writing. Additionally, I have supervised three M.Sc. students in Statistics, supporting their development as independent researchers capable of addressing statistical problems with methodological rigor. My supervisory approach emphasizes structured guidance, academic integrity, and the cultivation of strong analytical and communication skills. Through this work, I strive to empower students to produce high-quality research and to prepare them for further academic or professional pursuits.