Innovative Research Award
Omar Alzeley – Umm Al-Qura University
Omar Alzeley is an Associate Professor of Mathematics at Umm Al-Qura University, Saudi Arabia. His academic record covers mathematical statistics, probability, stochastic processes, statistical modelling, and related areas of mathematical research. The ORCID record identifies his institutional affiliation, academic qualifications, publications, and persistent researcher identifiers. [1]
Abstract
Omar Alzeley is a mathematics researcher whose documented work includes probability distributions, stochastic volatility, statistical inference, statistical learning, and mathematical modelling. His ORCID profile records a PhD in Mathematics from the University of Leicester and an MSc in Statistics and Applied Probability from the University of Nottingham. [1]
Keywords
Mathematics, Mathematical Statistics, Probability, Stochastic Processes, Statistical Modelling, Statistical Learning, Probability Distributions, Stochastic Volatility, Statistical Inference, Computational Mathematics. [1]
Introduction
Alzeley’s academic profile demonstrates research activity across theoretical and applied mathematics. His documented education includes postgraduate study in mathematics and statistics, while his current ORCID employment record identifies Umm Al-Qura University as his institutional affiliation. The publication record connects probability, statistics, stochastic modelling, and computational approaches. [1]
Research Profile
The research profile includes circular and spherical projected Cauchy distributions, stochastic volatility models, statistical learning, high-dimensional outlier detection, and stochastic processes. Recent works also address transformation-free regression and generalized probability distributions. The supplied profile reports 14 Scopus documents, 78 citations, and an h-index of 4. [2] [3]
Research Contributions
Alzeley’s documented contributions cover several methodological areas of mathematical research. His publications examine Cauchy-Stieltjes kernel families, multivariate stochastic difference volatility, periodic threshold autoregressive stochastic volatility, and computationally efficient outlier detection. Other research addresses quantum stochastic calculus and quadratic Fock space calculus. [4] [5]
Publications
The ORCID record lists scholarly works from 2019 through 2026, including journal articles and other research outputs. Recent publications appear in journals including Statistical Analysis and Data Mining, Mathematics, Axioms, Mathematical Methods in the Applied Sciences, and the Australian & New Zealand Journal of Statistics. DOI identifiers provide persistent access points for several publications. [2]
Research Impact
The supplied bibliometric profile records 14 documents, 78 citations, and an h-index of 4. These indicators offer quantitative evidence of scholarly visibility, although citation measures should be interpreted in relation to disciplinary practices, publication age, collaboration, and career development. The ORCID record additionally documents peer-review activity associated with scholarly publications. [1]
Award Suitability
The documented research portfolio is relevant to an Innovative Research Award within mathematics and quantitative research. His work covers probability, statistical methodology, stochastic modelling, computational techniques, and mathematical analysis. The combination of institutional affiliation, identifiable scholarly outputs, DOI-linked publications, and bibliometric indicators provides an evidence base for academic recognition. [1] [2]
Conclusion
Omar Alzeley has a documented academic and research profile in mathematics, with publications spanning statistics, probability, stochastic processes, modelling, and mathematical analysis. His persistent ORCID and Scopus identifiers support verification of his scholarly record. Based on the supplied evidence, his research activity provides a reasonable basis for consideration for recognition in an innovative mathematics research category. [1]
External Links
References
- ORCID. (2026). O. Alzeley (0000-0001-7122-4659) — ORCID record. ORCID.https://orcid.org/0000-0001-7122-4659
- Tsagris, M., & Alzeley, O. (2026). Scalable approximation of the transformation-free linear simplicial–simplicial regression via constrained iterative reweighted least squares. Statistical Analysis and Data Mining: An ASA Data Science Journal. https://doi.org/10.1002/sam.70100
- Alzeley, O., & Tsagris, M. (2026). On the generalized circular projected Cauchy distribution. Mathematics. https://doi.org/10.3390/math14111934
- Alzeley, O., & Ghezal, A. (2026). Periodic asymmetric LogGARCH stochastic volatility models: Structure and application. https://doi.org/10.3390/axioms15030216
- Alzeley, O., Ettaieb, A., & Rguigui, H. (2025). Quantum stochastic calculus associated with quantum Lévy white noise. Mathematical Methods in the Applied Sciences.https://doi.org/10.1002/mma.11029