Publication

1. A comparison between latent roots and least squares regression methods using simulation technique A comparison between latent roots and least squares regression methods using simulation technique, JORDAN JOURNAL OF APPLIED SCIENCE, 2006.
2. New types of shrinkage estimator, Far East J mathl Sci,2007
3. A new biased estimator for the restricted linear regression model, Journal of Statistical Theory and Applications, 2008
4. A new estimator in multiple linear regression, Model Assisted Statistics and Applications, 2008
5. On the Liu and Almost unbiased Liu Estimators in the presence of multicollinearity with heteroscedastic or correlated, Surveys in Mathematics and its Applications,2009
6. On the distribution of shrinkage parameters of Liu-type estimators, Brazilian journal of Probability and  Statistics,2009
7. Two Strategies for Removing Multicollinearity, International Journal of Statistics & Economics (formerly known as the “Bulletin of Statistics & Economics"),2009
8. Confidence Interval for Shrinkage Parameters in Ridge Regression, Communications in Statistics - Theory and Methods,2009
9. The Analysis of Residuals for Some Linear Restricted  Estimators in the Restricted Linear Model, Pioneer Journal of Theoretical and Applied Statistics, 2011
10. A new stochastic restricted biased estimator under heteroscedastic or correlated error, ESAIM: Probability and Statistics. France, 2011
11. A new almost unbiased estimator in stochastic linear restriction model, Iraqi Journal of Statistical Sciences, 2011
12. LIU-TYPE ESTIMATOR AND SELECTION OF VARIABLES, Journal of Anbar university for pure science, 2012
13. MODIFIED LIU-TYPE ESTIMATOR BASED ON (r-k) CLASS ESTIMATOR, Communications in Statistics - Theory and Methods. USA,2013
14. A GENERALIZED STOCHASTIC RESTRICTED RIDGE REGRESSION ESTIMATORS, Communications in Statistics - Theory and Methods. USA, 2014
15. ON THE WEIGHTED STOCHASTIC RESTRICTED RIDGE REGRESSION AND SHRINKAGE ESTIMATORS, Far East Journal of Mathematical Sciences,2018
16. A new version of unbiased ridge regression estimator under the stochastic restricted linear regression model, Communication in statistics- Simulation and Computation, 2019
17. New Version of a Liu-type Estimator in Weighted and non-weighted Mixed regression Model, Baghdad Science Journal, 2020
18. A  New Kind of  Stochastic Restricted Biased Estimator for Logistic Regression Model, Journal of Applied Statistics, 2020
19. STUDY OF SOME KINDS OF ALMOST UNBIASED ESTIMATOR AND PRINCIPLE COMPONENT ESTIMATOR FOR REGRESSION MODEL, Journal of Physics: Conference Series(IOP), 2020
20. A new kind of stochastic restricted biased estimator for logistic regression model, Journal of Applied Statistics, 2021
21. A new version of unbiased ridge regression estimator under the stochastic restricted linear regression model, Communications in Statistics Simulation and Computation, 2021
22. New Procedure for Selecting Raise Vector in Raising Regression, Journal of Physics Conference Series, 2021
23. New restricted biased estimator based on modified unbiased ridge regression estimator, Journal of Physics Conference Series, 2021
24. Modified almost unbiased two-parameter estimator for the Poisson regression model with an application to accident data, SORT,2021
25. A New Biased Stochastic Estimator for the Regression Model When There Are Problems of Multicollinearity and Heterogeneity, the International Conference on Contemporary Information Technology and Mathematics Iccitm 2022, 2022
26. A New Almost Unbiased Estimator for Linear Regression Model in Heteroscedastic or Correlated Errors, the International Conference on Contemporary Information Technology and Mathematics Iccitm 2022, 2022
27. On modified unbiased two-parameter estimator, Communications in Statistics Simulation and Computation, 2023
28. A New Almost Unbiased Weighted Mixed Estimator in Stochastic Linear Restriction Model, AIP Conference Proceedings, 2023
29. Modified stochastic weighted mixed estimator for linear regression model, AIP Conference Proceedings, 2023
30. A new stochastic restricted estimator using unbiased ridge estimator under heteroscedastic and/or correlated error, AIP Conference Proceedings, 2023
31. A new two-parameter bias estimator in a linear regression model under correlated or heteroscedastics errors, AIP Conference Proceedings, 2023
32. On Some Weighted Mixed Ridge Regression Estimators: Theory, Simulation and Application, Springer Proceedings in Mathematics and Statistics, 2024, 466, pp. 69–88
33. Modified New Estimator in Linear Regression Model Under Heteroscedastic or Correlated Errors, Lecture Notes in Networks and Systems, 2024, 1138 LNNS, pp. 869–879
34. Using Corrected Biased for Developing New Weighted Mixed Estimator for Linear Regression Model, Lecture Notes in Networks and Systems, 2024, 1138 LNNS, pp. 522–531
35. New Convex Estimator Combining Ridge and Ordinary Least Squares Estimators, Journal of University of Anbar for Pure Science, 2024, 18(2), pp. 265–270
36. An Unbiased Convex Estimator Depending on Prior Information for the Classical Linear Regression Model, Stats, 2025, 8(1), 16
37. Performance of some new estimated ridge parameter regression models, Journal of University of Anbar for Pure Science, 2025, 19(1), pp. 304–316

Lectures

No.	Subjects	Lectures	Stage	File	Video
1	mathematical statistics	sampling theory and order statistics	Fourth
2	mathematical statistics	point estimation	Fourth
3	mathematical statistics	properties of estimators	Fourth
4	mathematical statistics	best unbiased estimator property	Fourth
5	mathematical statistics	المقدر الكافي	Fourth
6	mathematical statistics	some applications	Fourth
7	mathematical statistics	sufficient estimator	Fourth
8	mathematical statistics	moments mothed	Fourth
9	mathematical statistics	maximum likelihood method	Fourth

Academic certificates

Supervision

1. A Study of Biased Estimation in Regression Model in Presence of Multicollinearity, Master's Thesis, University of Anbar – College of Education for Pure Sciences, Department of Mathematics, 2019.

2. A Study of Restricted Estimators in Regression Model, Master's Thesis, University of Anbar – College of Education for Pure Sciences, Department of Mathematics, 2020.

3. Study of Stochastic Estimators under Heteroscedastic and Correlated Errors, Master's Thesis, University of Anbar – College of Education for Pure Sciences, Department of Mathematics, 2022.

4. Improving Some Estimators for Regression Model in Presence of Multicollinearity or Correlated Errors, Master's Thesis, University of Anbar – College of Education for Pure Sciences, Department of Mathematics, 2022.

5. Study of Weighted Mixed Estimators for Linear Model with Stochastic Linear Restrictions, Master's Thesis, University of Anbar – College of Education for Pure Sciences, Department of Mathematics, 2023.

6. Study of Modified Unbiased Ridge Estimators in Linear Regression Model, Master's Thesis, University of Anbar – College of Education for Pure Sciences, Department of Mathematics, 2023.

7. Efficiency of Some Estimators for Poisson Regression Model with Application Study, Master's Thesis, University of Anbar – College of Education for Pure Sciences, Department of Mathematics, 2023.

8. Improving Convex Estimators for Restricted and Unrestricted Linear Regression Models, Master's Thesis, University of Anbar – College of Education for Pure Sciences, Department of Mathematics, 2024.

9. Study of Different Estimated Ridge Parameters for Regression Model, Master's Thesis, University of Anbar – College of Education for Pure Sciences, Department of Mathematics, 2024.

10. Improvement of Stochastic Restricted Estimators in Regression Models, Master's Thesis, University of Anbar – College of Education for Pure Sciences, Department of Mathematics, 2025.

11. A Study of Logistic Regression Model in Presence of Multicollinearity, PhD Dissertation, University of Sfax, Faculty of Sciences, Department of Mathematics, 2024.

Other

Training & Workshops:

1. Certified TOT (Training of Trainers), accredited by the Ministry of Higher Education and Scientific Research, Iraq, 2023.

2. Lecturer in Modern Teaching Methods Courses, Continuing Education Center, University of Anbar (ongoing).

3. Instructor in LaTeX Typesetting Software (workshop/seminar).

4. Trainer in Statistical Data Analysis Using SPSS (training course).

5. Trainer in MATLAB Programming (training course).

6. Presenter in Workshops on the Credit Hour System.

7. Participant in Scientific Workshops at the University of Anbar and other universities.

Academic Committees & Leadership:

8. Chair of the Preparatory Committee for the 2nd Graduate Students Conference in the College (2016).

9. Member of the Ministerial Committee for Evaluating and Establishing Peer-Reviewed Scientific Journals in Natural Sciences in Iraq (2014).

10. Editorial Board Member, Zarqa University Journal for Science (Jordan, 2016).

11. Chair of the Supervisory Committee for Establishing Computer Labs in the Mathematics Department.

12. Member of the Committee for Merging Symmetrical Departments, University of Anbar.

13. Member of the Committee for Redistributing Teaching Staff in Basic Science Disciplines.

14. Member of the Committee for Overseeing and Monitoring the Evaluative Examination.

15. Participant in the Course Credit Hour System Adoption Project.

Research & Supervision:

16. Statistical Reviewer for Master’s Theses and PhD Dissertations.

17. Peer Reviewer for Local and International Scientific Journals.

18. Scientific Research Evaluator, Baghdad Science Journal (Scopus-indexed) / University of Baghdad / Women’s College of Science.

19. Supervisor of 4th-Year Student Graduation Projects, Mathematics Department.

20. Supervisor of the Graduate Alumni Guide for the College.

21. Chair & Member of Thesis/Dissertation Defense Committees (Master’s and PhD).

E-Learning & Technology:

22. Conducted Online Lectures via Zoom and Google Meet.

23. Developed E-Learning Materials for courses.