University professor at Prince Sattam bin Abdulaziz University, Saudi Arabia
Assoc. Prof. Dr. Afrah Yahya Mohammed Al Rezami is a Yemeni academic specializing in Applied Statistics, currently serving at the College of Science and Humanities in Al Aflaj, Prince Sattam Bin Abdulaziz University, Saudi Arabia. She earned her Ph.D. and M.A. in Statistics from Al-Mustansiriya University, Iraq, and holds a Bachelor’s degree in Statistics from Sana’a University, Yemen. With extensive experience in statistical analysis, research supervision, and academic leadership, Dr. Al Rezami has held various roles, including Head of the Measurement and Evaluation Department and Supervisor of the Scientific Research Unit. Her expertise includes performance indicators, educational evaluation, and statistical modeling, and she has taught a wide range of undergraduate and graduate-level courses. Dr. Al Rezami is also an active member of data and research committees and has participated in numerous training workshops related to data analysis and statistical software.
Professional Profile
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Education
Assoc. Prof. Dr. Afrah Yahya Mohammed Al Rezami possesses a robust academic background in the field of statistics, spanning undergraduate to doctoral levels. She began her academic journey by earning a Bachelor’s degree in Statistics from Sana’a University, Yemen, in 1992, where she acquired foundational knowledge in statistical theory and quantitative analysis. Driven by her passion for the discipline, she pursued graduate studies at Al-Mustansiriya University in Iraq, obtaining her Master’s degree in Statistics in 2000. Her master’s work focused on enhancing her skills in data analysis, statistical modeling, and research methodologies. Building upon this, she continued her scholarly pursuits at the same university and was awarded a Ph.D. in Statistics in 2004. During her doctoral studies, she specialized in Applied Statistics, further strengthening her analytical capabilities and laying the groundwork for her future contributions in teaching, research, and institutional development.
Experience
Assoc. Prof. Dr. Afrah Yahya Mohammed Al Rezami has accumulated extensive academic and professional experience in the field of applied statistics, both in Yemen and Saudi Arabia. Her career began as an Instructor and later Assistant Professor in the Department of Statistics and Information at the College of Commerce and Economics, Sana’a University, Yemen. She transitioned to Saudi Arabia, where she joined Prince Sattam Bin Abdulaziz University (PSAU) in 2012, taking on multiple academic and administrative roles. At PSAU’s College of Science and Humanities in Al Aflaj, she has served as an Assistant Professor and currently holds the rank of Associate Professor in the Department of Mathematics. In addition to her teaching duties, Dr. Al Rezami has contributed significantly to academic development and quality assurance. She has served as the Head of the Measurement and Evaluation Department at the Applied College in Al Kharj, where she led efforts to assess academic programs and student performance. She is also the Supervisor of the Scientific Research Unit and an active member of the Data and Statistics Unit at the College of Humanities and Social Sciences. Her responsibilities have included overseeing statistical analysis for master’s and doctoral theses, evaluating institutional performance indicators, and participating in various workshops related to SPSS, Excel, Minitab, and Power BI. With a diverse teaching portfolio spanning statistical inference, linear programming, actuarial mathematics, and software-based analysis, Dr. Al Rezami continues to play a vital role in both instructional and institutional development at PSAU.
Research Interests
Assoc. Prof. Dr. Afrah Yahya Mohammed Al Rezami’s research interests are deeply rooted in the field of Applied Statistics, with a strong focus on data-driven approaches to support decision-making in education, institutional development, and social sciences. She is particularly engaged in educational measurement and evaluation, where she analyzes academic performance indicators and develops effective assessment strategies to enhance the quality of learning outcomes. Dr. Al Rezami is also skilled in statistical modeling and multivariate data analysis, supporting graduate students and faculty through the design and interpretation of complex datasets in master’s and doctoral research. Her interest in statistical software applications such as SPSS, Excel, Minitab, and Power BI reflects her dedication to practical analytics and modern data visualization techniques. In addition, she explores areas such as risk analysis, actuarial mathematics, and probability theory, applying these tools to real-world challenges in education and beyond. Her interdisciplinary approach allows her to contribute to both academic research and institutional improvement through informed statistical insight.
Top Noted Publications
Bayesian Estimation of the Pareto Model Based on Type-II Censoring Data by Employing Non-linear Programming
- Authors: L.A. Al-Essa, F.S. Al-Duais, W. Aydi, A.Y. Al-Rezami
- Journal: Alexandria Engineering Journal
- Year: 2024
- DOI: 10.1016/j.aej.2023.12.051
- EID: 2-s2.0-85181767525
- ISSN: 1110-0168
- Publisher: Elsevier
- Scope: Bayesian inference methods applied to censored Pareto distributions using non-linear optimization techniques.
Defining and Analyzing New Classes Associated with (λ,γ)-Symmetrical Functions and Quantum Calculus
- Authors: H. Louati, A.Y. Al-Rezami, A.A. Darem, F. Alsarari
- Journal: Mathematics (MDPI)
- Year: 2024
- DOI: 10.3390/math12162603
- EID: 2-s2.0-85202574837
- ISSN: 2227-7390
- Publisher: MDPI
- Scope: Introduces function classes based on symmetrical properties within the framework of quantum calculus.
Diagnostic Power of Some Graphical Methods in Geometric Regression Model Addressing Cervical Cancer Data
- Authors: Z. Hussain, A. Akbar, M.M.A. Almazah, A.Y. Al-Rezami, F.S. Al-Duais
- Journal: AIMS Mathematics
- Year: 2024
- DOI: 10.3934/math.2024198
- EID: 2-s2.0-85182243851
- ISSN: 2473-6988
- Publisher: AIMS Press
- Scope: Evaluates graphical techniques in diagnostic modeling for real-world biomedical data, particularly in cancer prediction.
Exploring Quasi-Probability Husimi-Distributions in Nonlinear Two Trapped-Ion Qubits: Intrinsic Decoherence Effects
- Authors: L.A. Al-Essa, A.Y. AL-Rezami, F.M. Aldosari, A.-B.A. Mohamed, H. Eleuch
- Journal: Optical and Quantum Electronics
- Year: 2024
- DOI: 10.1007/s11082-024-06284-z
- EID: 2-s2.0-85183574852
- ISSN: 0306-8919 (print), 1572-817X (electronic)
- Publisher: Springer
- Scope: Theoretical study on decoherence in quantum qubit systems using Husimi quasi-probability distributions.
Integration of Three Drought Indices Based on Triple Collocation and Multi-Scalar Weighted Amalgamated Drought Index
- Authors: Z. Badar, M.M.A. Almazah, M.A. Raza, I. Hussain, F.S. Al-Duais, A.Y. Al-Rezami
- Journal: Stochastic Environmental Research and Risk Assessment
- Year: 2024
- DOI: 10.1007/s00477-023-02623-w
- EID: 2-s2.0-85179359120
- ISSN: 1436-3240 (print), 1436-3259 (electronic)
- Publisher: Springer
- Scope: Combines drought indices using a novel statistical method for improved environmental risk modeling.
Conclusion
Given her sustained excellence in research, commitment to teaching, and contributions to statistical education and institutional evaluation, Dr. Afrah Yahya Mohammed AL Rezami is exceptionally well-suited for the Best Scholar Award. Her leadership, academic rigor, and impactful service to higher education mark her as a role model in the field of applied statistics.