Academic Staff

May 15, 2026, 7:07 p.m.
Sameera Abdulsalam Othman (PhD)
None
Professor in Statistics

Mathematics
College of Basic Education
University of Duhok

  • 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.The comparison between  Holt-Winters’ method and ARIMA models .University of Dohuk. 2009.

2.  on detection of feedback in the time series. University of Dohuk  2011.

3. forecasting rainfull using transfer function. Iraqi Journal of Statistical Sciences (24) 2013

4. on forecasting by dynamic regression models.Iraq Academic scientific journals. University of Anbar. 2013.

5. studying the scientific state of students using the adjusted residuals.

Mathematical Theory and Modeling.  www.iiste.org.  2014. 114-122. Vol.4, No.4,

6. SIGNIFICANT FACTORS TO AFFECT THE BLOOD PRESSURE.

International Journal of Advances in Engineering & Technology, May, 2014. ©IJAET ISSN: 22311963.

7. Comparison between Models With and Without Intercept. Gen. Math. Notes, Vol. 21, No. 1, March 2014, pp. 118-127

8. Two Methods of Detecting of Feedback in Dynamical Model (with Application in Weather). University of Dohuk. 2016.

9) comparison between forecasting arima and arimax method. ZANCO Journal of Pure and Applied Sciences. The official scientific journal of Salahaddin University-Erbil ZJPAS (2016), 28 (6); 851-865.

10) FORECASTING STAFF GAUGE READING IN DOHUK BY USING ADAPTIVE DOUBLE EXPONENTIAL SMOOTHING. Journal of University of Duhok, Vol. 19, No.1 (Pure and Eng. Sciences), Pp 143-153,2016.

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.