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

Makhmud Bobokandov | Mathematics | Young Scientist Award

Dr. Makhmud Bobokandov | Mathematics | Young Scientist Award

Researcher | National University of Uzbekistan Uzbekistan

Dr. Bobokandov Makhmud is a Senior Lecturer and Researcher in applied mathematics and computational analysis, specializing in mathematical modeling and numerical methods. He holds undergraduate and postgraduate degrees in applied mathematics, information technologies, and mathematical simulations, with doctoral-level specialization in diffusion processes and nonlinear parabolic equations. His professional experience spans academic teaching, research leadership, and participation in nationally funded research projects, including roles as senior and junior researcher on large-scale fundamental grants. His research focuses on nonlinear physical processes, qualitative analysis of differential equations, self-similar solutions, numerical simulations, and data analysis, with published scholarly contributions cited across multiple peer-reviewed works. He has contributed to advancing applied mathematical modeling through interdisciplinary approaches integrating computation and programming. His achievements include competitive national scholarships, government-recognized research funding, and awards for academic excellence. He has further strengthened his expertise through internationally recognized certifications in data analysis, machine learning, scientific computing, and programming, demonstrating sustained commitment to research excellence, academic leadership, and future innovation potential.

Citation Metrics (Scopus)

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Abdulkadir Keskin | Numeric Method | Best Scholar Award

Dr. Abdulkadir Keskin | Numeric Method | Best Scholar Award

Assoc. Prof. at Istanbul Medeniyet University, Turkey

Assoc. Prof. Dr. Abdulkadir Keskin is an accomplished academic with a strong interdisciplinary background in statistics and economics. He holds a PhD in Applied Statistics and a Master’s degree in Economics, combining theoretical insight with practical research skills. His expertise spans a wide range of areas including machine learning, artificial intelligence, biostatistics, econometrics, and decision support systems. Dr. Keskin has contributed significantly to the academic community through numerous peer-reviewed publications in fields such as energy forecasting, healthcare analytics, corporate social responsibility, and agricultural economics. He demonstrates advanced proficiency in statistical software and programming tools, enabling him to handle complex data analysis across various sectors. Currently serving as a research assistant at Istanbul Medeniyet University, he is actively engaged in both teaching and research. His work consistently bridges academic theory and real-world applications, positioning him as a forward-thinking scholar committed to impactful and innovative research within and beyond his primary disciplines.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Assoc. Prof. Dr. Abdulkadir Keskin has a diverse and comprehensive academic background combining business, economics, and statistics. He earned his PhD in Applied Statistics from Yıldız Technical University, where he developed expertise in quantitative research methodologies and advanced data analysis. Prior to that, he completed a Master’s degree in Economics with a thesis from Yalova University, equipping him with a solid foundation in economic theory and policy analysis. His undergraduate education was in Business Administration (English) at Istanbul University, providing him with broad knowledge in management, finance, and decision-making processes. His educational journey reflects a well-structured integration of analytical, economic, and managerial disciplines, preparing him for interdisciplinary research and teaching. Each academic stage has contributed to his growing interest and capabilities in statistical modeling, economic forecasting, and machine learning, laying the groundwork for his current research activities. His educational path demonstrates a commitment to academic excellence and continuous learning across multiple fields.

Experience

Assoc. Prof. Dr. Abdulkadir Keskin has accumulated valuable academic experience through his roles in teaching and research at Istanbul Medeniyet University. He initially served in the Faculty of Political Sciences, specifically within the Department of Business Administration’s Quantitative Methods division, where he contributed to both undergraduate and graduate-level instruction and supervised research projects. Later, he joined the Faculty of Engineering and Natural Sciences in the Department of Statistics, allowing him to align more closely with his core expertise in applied statistics. His professional background reflects a balance between classroom instruction, curriculum development, and academic research. Dr. Keskin’s work also includes interdisciplinary collaboration across departments and participation in academic initiatives that address real-world problems. His active role in integrating data science tools and modern statistical techniques into academic environments has not only enhanced student learning but also strengthened the university’s research capabilities. His experience portrays him as a versatile academic dedicated to applied and impactful scholarship.

Research Focus

Assoc. Prof. Dr. Abdulkadir Keskin’s research focuses on the intersection of applied statistics, machine learning, and economics, with a particular interest in using data-driven methods to solve complex societal and industrial problems. His academic work spans various domains, including energy forecasting, health service optimization, financial econometrics, and corporate social responsibility. A key feature of his research is the application of advanced methodologies such as deep learning, fuzzy logic, and time series analysis, enabling nuanced insights into dynamic systems. He often explores the use of statistical modeling to enhance policy decisions, improve business operations, and address sustainability challenges. His recent publications reflect this approach, covering topics like renewable energy prediction, patient flow optimization in healthcare, and green business strategies. Dr. Keskin’s work is characterized by its multidisciplinary nature, technical rigor, and relevance to contemporary global issues, positioning him as a researcher committed to producing knowledge that bridges academic theory and real-world application.

Award and Honor

While specific awards and honors are not detailed, Assoc. Prof. Dr. Abdulkadir Keskin’s academic trajectory and publication record suggest recognition within his professional community. His consistent contributions to peer-reviewed journals in diverse fields such as energy economics, healthcare management, and statistical modeling indicate a high level of scholarly engagement. He collaborates with national and international researchers, contributing to projects that are both timely and socially impactful. His role in advancing interdisciplinary research using modern data science tools may also be reflected in institutional recognitions, research funding, and invitations to conferences or collaborative initiatives. His movement across academic departments, from business administration to statistics, points to his growing academic stature and alignment with evolving research priorities. The scope and quality of his work position him well for further academic honors and awards, especially those recognizing innovation, interdisciplinary impact, and academic excellence. He continues to build a profile that aligns with the values typically celebrated in scholarly recognition programs.

Publications Top Notes

  • Title: Türkiye’de Ekonomik Büyüme, İşsizlik ve Enflasyonun Kayıt Dışı İstihdam Üzerindeki Etkisi: ARDL Sınır Testi Yaklaşımı
    Authors: A. Keskin, A. Keskin
    Year: 2021
    Citations: 20

  • Title: Evaluation of Supplier Selection Criteria with Fuzzy DEMATEL Method: An Application on the Pharmacy Industry
    Authors: B. Leblebicioğlu, A. Keskin
    Year: 2021
    Citations: 12

  • Title: The Relationship Between Electricity Generation, Electricity Consumption, and Economic Growth in Turkey 1975–2019
    Authors: A. Keskin, B. Kara
    Year: 2021
    Citations: 7

  • Title: G20 Ülkelerinin CO2 Emisyonları ve Kişi Başına Düşen Milli Gelirin 1960–2012 Dönemi Arasındaki Amprik Analizi
    Authors: A. Keskin
    Year: 2020
    Citations: 7

  • Title: Barriers to Formal Help-Seeking Behavior by Battered Turkish Women According to Sociodemographic Factors
    Authors: A. Keskin, F. Karaman
    Year: 2021
    Citations: 6

  • Title: The Relationship Between Trade Openness, Foreign Trade Tax Revenues and GDP in Turkey: ARDL Bounds Test Approach for 1993–2019 Period
    Authors: A. Keskin, B. Kara
    Year: 2021
    Citations: 6

  • Title: Producer Price Index, Consumer Price Index and Fiscal Policy: 1996–2020 Period and Turkey
    Authors: K. Berat, A. Keskin
    Year: 2021
    Citations: 6

  • Title: Estimation of the Utilization Rates of the Resources of a Dental Clinic by Simulation
    Authors: A. Atalan, A. Keskin
    Year: 2023
    Citations: 5

  • Title: Strategic Forecasting of Renewable Energy Production for Sustainable Electricity Supply
    Authors: A. Keskin, Y.A. Atalan, A. Atalan
    Year: 2024
    Citations: 4

  • Title: Price Estimation of Selected Grains Products Based on Machine Learning for Agricultural Economic Development in Türkiye
    Authors: A. Keskin, İ. Ersin, A. Atalan
    Year: 2024
    Citations: 4

  • Title: Alışveriş Merkezlerinde Müşterilerin Ürün Algısı ile Tüketim Alışkanlıkları Arasındaki İlişkinin Uyum ve Robust Regresyon Analizi ile İncelenmesi
    Authors: A. Keskin, M.Ş. Güneş, D. Yıldız
    Year: 2019
    Citations: 4

  • Title: CO2 Emisyonunu Etkileyen Faktörler: Avrupa Birliği Örneği
    Authors: A. Keskin
    Year: 2019
    Citations: 4

  • Title: The Impact of Green Business Ethics and Green Financing on Sustainable Business Performance of Industries in Türkiye
    Authors: H.K. Alay, A. Keskin, G. Şen, D. Kayalıdereden, Ş. Berber, M.T. Deveciyan
    Year: 2024
    Citations: 3

  • Title: Determining the Criteria Affecting Tax Ethics in Türkiye Using the Fuzzy DEMATEL Method
    Authors: B.K. Yapar, A. Keskin
    Year: 2023
    Citations: 3

  • Title: Türkiye’de Sosyal Harcamalar ve Yoksulluk İlişkisi
    Authors: A. Keskin, A. Keskin
    Year: 2023
    Citations: 3

Conclusion

The scholarly contributions of Assoc. Prof. Dr. Abdulkadir Keskin reflect a strong and sustained research trajectory across diverse yet interrelated domains such as economics, statistics, sustainability, and decision sciences. His publications have garnered notable academic attention, particularly in areas involving econometric analysis, machine learning applications, and social-economic policy evaluation. With works cited across multiple studies, he demonstrates both research relevance and academic influence. His interdisciplinary approach—blending statistical rigor with real-world applicability—adds value not only to academic literature but also to policy development and practical problem-solving. The citation record further confirms that his research is recognized and utilized by fellow scholars, signaling impact and credibility in his field. These achievements position Dr. Keskin as a valuable contributor to the academic community and a strong candidate for advanced recognition such as the Best Scholar Award.