Mousa J. Huntul | Mathematics | Research Excellence Award

Research Excellence Award

Mousa J. Huntul – Jazan University

Mousa J. Huntul
Affiliation Jazan University
Country Saudi Arabia
Scopus ID 57192910985
Documents 339
Citations 637
h-index 14T
Subject Area Mathematics
Event World Top Scientist Awards
ORCID 0000-0001-5247-2913

Mousa J. Huntul is a Saudi Arabian mathematician and academic researcher affiliated with Jazan University. His research activities primarily focus on inverse problems, applied mathematics, nonlinear partial differential equations, numerical analysis, and fractional differential models. Over the course of his academic career, he has contributed extensively to mathematical modeling methodologies and computational approaches for solving higher-order equations in engineering and physical sciences.[1]

Abstract

This article presents an overview of the academic achievements and mathematical research contributions of Mousa J. Huntul in the field of applied mathematics. His studies focus extensively on inverse problems, numerical analysis, free boundary systems, heat equations, and fractional differential equations. Through a substantial body of peer-reviewed research, Huntul has contributed to the theoretical and computational advancement of mathematical sciences. His published works demonstrate interdisciplinary relevance across engineering, physics, and computational modeling applications.[3]

Keywords

Applied Mathematics, Inverse Problems, Numerical Analysis, Fractional PDEs, Heat Equations, Mathematical Modeling, Scientific Computing, Computational Mathematics, Free Boundary Problems, Differential Equations.

Introduction

Mathematics continues to play an essential role in solving scientific and engineering challenges through advanced modeling and computational frameworks. Within this context, researchers specializing in inverse problems and nonlinear equations contribute significantly to technological and analytical development. Mousa J. Huntul has emerged as a recognized scholar in this domain through his sustained research productivity and methodological innovations in applied mathematics.[4]

Research Profile

The research profile of Mousa J. Huntul reflects strong engagement with inverse problems involving parabolic, hyperbolic, and pseudo-parabolic equations. His studies investigate the reconstruction of unknown coefficients and source terms through analytical and computational techniques. These investigations are relevant in thermal systems, engineering models, and wave propagation analysis. His work also addresses stability conditions and numerical reconstruction procedures for higher-order differential systems.[5]

Research Contributions

Among his notable contributions are studies related to inverse boundary value problems, time-dependent thermal coefficients, nonlinear integro-differential equations, and free boundary systems. His work has introduced computational approaches capable of improving solution accuracy for complex mathematical models. Several of his studies examine higher-order pseudo-parabolic equations and inverse heat conduction problems under nonlocal boundary conditions.[3]

Publications

  • “Uniqueness and CN–Bell Spectral Reconstruction of Three Time-Dependent Coefficients in a Parabolic Inverse Problem with Quadratic Spatial Diffusivity”, Mathematics, 2026.
  • “Computational modeling of wave propagation phenomena via a fractional Klein–Gordon equation with modified Atangana-Baleanu-Caputo derivative”, Ain Shams Engineering Journal, 2026.
  • “Analyzing inverse backward problem in nonlinear integro-differential equation with memory kernel”, Results in Applied Mathematics, 2024.

Research Impact

The research impact of Mousa J. Huntul is reflected through his Scopus-indexed publications, citation metrics, and collaborative research output. His investigations contribute to the advancement of inverse mathematical modeling techniques and numerical solution frameworks. These methodologies support applications in engineering analysis, heat transfer systems, and computational physics. The growing citation profile associated with his work indicates continued scholarly engagement within the applied mathematics community.[2]

Award Suitability

The academic profile of Mousa J. Huntul demonstrates suitability for recognition within international scientific award platforms focused on mathematical sciences and computational research. His consistent publication activity, international collaborations, and methodological contributions indicate a sustained commitment to scholarly excellence. The combination of theoretical analysis and applied numerical methods further supports the practical relevance of his research achievements.[5]

Conclusion

Mousa J. Huntul represents an active contributor to applied mathematics research with specialization in inverse problems, numerical analysis, and fractional differential systems. His publications and collaborative investigations continue to support advancements in mathematical modeling and computational methodologies. Through academic scholarship, peer-reviewed publications, and institutional engagement, Huntul has established a visible presence within the international mathematical sciences community.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Mousa J. Huntul, Author ID 57192910985. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57192910985
  2. Huntul, M. J. (2026). Computational modeling of wave propagation phenomena via a fractional Klein–Gordon equation with modified Atangana-Baleanu-Caputo derivative. Ain Shams Engineering Journal.
    https://doi.org/10.1016/j.asej.2026.104039
  3. Huntul, M. J. (2024). Analyzing inverse backward problem in nonlinear integro-differential equation with memory kernel. Results in Applied Mathematics.
    https://doi.org/10.1016/j.rinam.2024.100517
  4. Huntul, M. J. (2022). Identification of time‐dependent potential in a fourth‐order pseudo‐hyperbolic equation from additional measurement. Mathematical Methods in the Applied Sciences.
    https://doi.org/10.1002/mma.8104
  5. Huntul, M. J. (2021). Determination of the time-dependent convection coefficient in two-dimensional free boundary problems. Engineering Computations.
    https://doi.org/10.1108/ec-10-2020-0562

Chanjin Zheng | Psychometrics | Research Excellence Award

Assoc. Prof. Dr. Chanjin Zheng | Psychometrics | Research Excellence Award

Associate Professor | East China Normal University | China

Assoc. Prof. Dr. Chanjin Zheng  is an Associate Professor at East China Normal University specializing in educational psychology, psychometrics, and artificial intelligence in education, with expertise in adaptive learning systems and cognitive diagnostic assessment. He holds advanced degrees in educational psychology, applied statistics, and cognitive neuroscience, reflecting strong interdisciplinary training. His professional experience includes leading roles as principal investigator and chief psychometrician on major AI-driven educational assessment systems, collaborating with global research and industry partners, and contributing to large-scale language and learning technologies. He has demonstrated leadership through institutional coordination, research strategy development, and academic outreach initiatives. His research focuses on computerized adaptive testing, automated scoring, learning analytics, and intelligent tutoring systems, contributing to impactful publications and innovative educational tools. With a solid citation record and growing scholarly influence, he has earned recognition for research excellence, alongside professional engagements as consultant, visiting scholar, and contributor to international academic and assessment initiatives, highlighting his continued impact and leadership in advancing technology-enhanced education.

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Top 5 Featured Publications

 

Regent Retrospect Musekwa | Statistics | Best Researcher Award

Mr. Regent Retrospect Musekwa | Statistics | Best Researcher Award

Research Assistant, Botswana International University of Science and Technology, Botswana

Musekwa Regent is a passionate and skilled statistician currently pursuing a PhD in Statistics at Botswana International University of Science and Technology (BIUST). With a strong foundation in applied statistics, he has excelled in diverse fields such as finance, environmental science, and education, demonstrating a remarkable ability to convert complex data into actionable insights. 📊✨

Publication Profile

Google Scholar

Education

Musekwa holds an MSc in Statistics from BIUST (2023) and a BSc in Statistics from Midlands State University, Zimbabwe (2020). He is currently working towards his PhD, further enhancing his expertise in statistical theory and applications. 🎓📚

Experience

As a Teaching Assistant at BIUST since August 2021, Musekwa has contributed to various courses including Statistics for Non-Mathematicians and Multivariate Analysis. He also serves as an Examination Administrator, ensuring compliance with examination regulations. Previously, he worked as a Statistician at Simbisa Brands, where he optimized operational efficiency and analyzed customer preferences. 👩‍🏫📈

Research Focus

Musekwa’s research primarily revolves around statistical modeling, data analysis, and the development of new statistical distributions. He is particularly interested in applying innovative techniques to real-world problems, contributing to both theoretical and applied statistics. 🔍📖

Awards and Honors

Throughout his academic career, Musekwa has received recognition for his contributions to statistical research. His ongoing PhD research has garnered attention, and he has co-authored several publications in esteemed journals, showcasing his commitment to advancing statistical knowledge. 🏆📜

Publication Top Notes

  1. Musekwa, R. R., & Makubate, B. (2023). Statistical analysis of Saudi Arabia and UK Covid-19 data using a new generalized distribution. Scientific African, 22, e01958. Link
  2. Nyamajiwa, V. Z, Musekwa, R. R., & Makubate, B. (2024). Application of the New Extended Topp-Leone Distribution to Complete and Censored Data. Revista Colombiana de Estadística, 47. Link
  3. Musekwa, R. R., & Makubate, B. (2024). A flexible generalized XLindley distribution with application to engineering. Scientific African, 24, e02192. Link
  4. Musekwa, R. R., Gabaitiri, L., & Makubate, B. (2024). A new technique of creating families of continuous distributions. Revista Colombiana de Estadística. Link
  5. Makubate, B., & Musekwa, R. R. (2024). A novel technique for generating families of distributions. Statistics, Optimization & Information Computing. Link