Mousa J. Huntul | Mathematics | Research Excellence Award

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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

Sikander Ali | Mathematics | Young Scientist Award

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Mr. Sikander Ali | Mathematics | Young Scientist Award

Research Associate | Riphah International University | Pakistan

Mr. Sikander Ali is a Research Associate at Riphah International University and a mathematician specializing in graph theory, network modeling, and applied mathematical structures. His academic background includes advanced degrees in mathematics with strong specialization in graph theory, numerical analysis, differential equations, and cryptographic models, supported by thesis research on nano-network resolvability and elliptic curve cryptography. Professionally, he contributes to theoretical research through rigorous literature analysis, development of mathematical models, and collaborative research projects, while actively supporting scholarly writing, simulations, and dissemination of findings. His research focuses on distance-based graph invariants, nano-scale network analysis, metric and partition dimensions, and fault-tolerant graph parameters, with multiple novel definitions and studies submitted for publication and cited within the research community. His work demonstrates originality, analytical depth, and growing academic impact, reflected through peer recognition, citations, and ongoing research contributions, highlighting strong potential for future leadership and excellence in mathematical research and innovation.

Citation Metrics (Google Scholar)

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Top 5 Featured Publications

 

Makhmud Bobokandov | Mathematics | Young Scientist Award

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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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49

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12

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4

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Top 5 Featured Publications

 

Vladimir Fedorov | Mathematics | Best Researcher Award

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Prof. Vladimir Fedorov | Mathematics | Best Researcher Award

Head of Mathematical Analysis Department, Chelyabinsk State University, Russia

Vladimir Evgenievich Fedorov, born on March 1, 1972, is a distinguished Professor and Doctor of Physical and Mathematical Sciences. As the Head of the Department of Mathematical Analysis at Chelyabinsk State University, he has made significant contributions to mathematical sciences and education, guiding numerous candidates to advanced degrees. His expertise spans semigroup theory, control theory, and differential equations, earning him national and international recognition, including the ISAAC Award for Young Scientists.

Publication Profile

ORCID

Education 🎓

Vladimir Fedorov completed his higher education in mathematics at Chelyabinsk State University in 1994. He holds a Doctorate in Physical and Mathematical Sciences (2005) and earned the title of Professor in 2007. His academic background laid the foundation for his deep specialization in partial differential equations and mathematical analysis.

Experience 💼

With a career spanning decades, Professor Fedorov has been the head of the Department of Mathematical Analysis at Chelyabinsk State University, leading research in complex mathematical theory and application. He has supervised 13 Ph.D. dissertations and numerous Master’s theses, demonstrating his dedication to advancing the field and mentoring future mathematicians. Additionally, he serves as the Deputy Editor-in-Chief of the Chelyabinsk Physical and Mathematical Journal and is a member of editorial boards for other high-impact journals.

Research Focus 🔬

Fedorov’s research focuses on semigroup theory, control theory, and partial differential equations, with over 143 publications indexed in Scopus. As the head of a Master’s program specializing in Partial Differential Equations, he directs significant research in advanced mathematical theories, impacting both academia and practical applications in mathematical modeling.

Awards and Honors 🏆

Professor Fedorov has received numerous accolades, including the ISAAC Award for Young Scientists for his contributions to semigroup and control theory, and multiple prestigious Russian scientific grants. He is an Honorary Professor of Chelyabinsk State University and Shadrinsk State Pedagogical University and holds the title of Honorary Worker of Education of the Russian Federation.

Publication Top Notes:

Fedorov, V. E. “Advanced Applications in Control Theory.” Progress in Fractional Differentiation and Applications, 2019. Cited by [23 articles].

Fedorov, V. E. “Semigroup Theory in Modern Analysis.” International Journal of Mathematical Modelling and Numerical Optimisation, 2018. Cited by [18 articles].

Tamar Schlick | Mathematics | Best Researcher Award

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Prof. Tamar Schlick | Mathematics | Best Researcher Award

Professor at New York University, New York

Tamar Schlick is a distinguished professor at New York University, affiliated with both the Department of Chemistry and the Courant Institute of Mathematical Sciences. With a profound background in applied mathematics, her research centers on molecular modeling and simulations, focusing on long-time processes in nucleic acids and proteins. Her interdisciplinary approach bridges the gap between microscopic structures and macroscopic functional observations, contributing significantly to the fields of biochemistry and computational biology.

Profile

Scholar Profile

Education 🎓

Dr. Schlick earned her Ph.D. in Applied Mathematics from the Courant Institute at NYU in 1987, with a thesis on modeling and minimization techniques for predicting the three-dimensional structures of large biological molecules. She also holds an M.S. in Applied Mathematics (1984) and a B.S. in Mathematics (1982) from Wayne State University, where she was a member of the Liberal Arts Honors Program. Her education includes specialized training in supercomputer hardware and optimization techniques.

Experience 💼

Dr. Schlick has held multiple academic positions at NYU since 1989, where she began as an Assistant Professor and has progressed to a full Professor. She has also served as the Director of Graduate Studies in the Chemistry Department and the Director of the multidepartmental Computational Biology Doctoral Program. Her prior experience includes a postdoctoral fellowship at the Courant Institute, where she focused on potential energy calculations of nucleic acids, as well as research at the Weizmann Institute of Science in Israel.

Research Interests 🔬

Dr. Schlick’s research explores the application of molecular modeling and dynamics simulations to biological processes. Her work involves studying DNA/protein interactions in regulatory processes, transcription initiation, DNA repair, and chromatin dynamics. Recently, she has developed graph theory applications to represent RNA secondary structures, aiming to design novel RNA motifs for biomedicine and exploring the conformations and mechanisms of the SARS-CoV-2 viral frameshifting RNA.

Awards 🏆

Throughout her career, Dr. Schlick has received numerous accolades, including the 2022 Pitzer Lecture in Outstanding Theoretical Chemistry and the 2022 Keynote Lecture at the German Conference on Cheminformatics. Her contributions have been recognized with multiple fellowships from prestigious organizations, such as the Society for Industrial and Applied Mathematics and the American Physical Society. She has been honored as a Guggenheim Fellow and received the Outstanding Woman in Science Award.

Publications 📚

Dr. Schlick has authored numerous influential publications. Some of her notable works include:

These publications have significantly impacted the fields of computational chemistry and molecular biology.

Conclusion 📝

Dr. Tamar Schlick’s extensive contributions to the understanding of biological molecules through applied mathematics and computational methods highlight her as a leader in the field. Her innovative research, commitment to education, and recognition through numerous awards underscore her influence and dedication to advancing science.

Dennis Peralta | Mathematics | Best Researcher Award

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Prof. Dennis Peralta | Mathematics | Best Researcher Award

Tecnico de Investigación, UNEMI, Ecuador

Dennis Alfredo Peralta Gamboa is an accomplished Research Technician at the Universidad Estatal de Milagro in Ecuador, specializing in data science and telecommunications. With a strong background in electrical and electronic engineering, Dennis has developed expertise in machine learning, data analysis, and statistical modeling, contributing significantly to his university’s research initiatives. 🌐👨‍💼

Publication Profile

ORCID

Strengths for the Award:

  • Diverse Expertise: Dennis has demonstrated strong technical skills in various fields, including electronic engineering with a specialization in telecommunications, and an impressive focus on data science and machine learning. His extensive training in statistical modeling, data analysis, and automation indicates a strong ability to conduct high-quality, impactful research.
  • Continuous Learning: He has completed numerous certifications and training programs in machine learning, data science, and statistical models. This shows his commitment to staying updated with the latest technologies and methodologies, which is crucial for innovative research.
  • Published Work: His accepted publication in a Scopus Q2 journal is a notable achievement. The research article focuses on user experience with chatbots in higher education, demonstrating his contribution to solving real-world problems through research.
  • Industry and Academic Experience: Dennis has professional experience in both industry and academia, including his current role as a Research Technician at the Universidad Estatal de Milagro. This combination of skills is beneficial for practical application and innovative academic research.

Areas for Improvement:

  • Focus on Research Output: While Dennis has several training courses and certifications, his research output in terms of peer-reviewed journal articles could be expanded. More publications in indexed journals with high impact factors would strengthen his research portfolio.
  • Collaborative Research: There is limited mention of collaborative research projects. Engaging in international collaborations or participating in multidisciplinary projects can elevate his research profile and contribute to a broader range of impactful outcomes.
  • Leadership in Research: Taking on leadership roles in research projects, such as principal investigator positions or directing research initiatives, would highlight his ability to lead teams and manage research outcomes.

Education

Dennis holds a Master’s degree in Applied Data Science from Iexe Universidad and a Bachelor’s degree in Electronic Engineering with a specialization in Telecommunications from Escuela Superior Politécnica del Litoral (2020). His education also includes a high school diploma in Physics and Mathematics (2008). 🎓📊

Experience

With a diverse professional background, Dennis has held several technical roles, including positions as an electrical maintenance assistant at PAPELERA NACIONAL SOCIEDAD ANÓNIMA and a teaching technician at Universidad Estatal de Milagro. He has also worked as a maintenance technician for municipal organizations. Currently, he serves as a Research Technician in the Faculty of Research at Universidad Estatal de Milagro. 🛠️💼

Research Focus

Dennis’s research primarily revolves around data science, machine learning, and statistical modeling. He has a keen interest in the application of these technologies for educational enhancement, including the use of chatbots to improve user experience in higher education. 📊🤖

Awards and Honors

Dennis has not listed any specific awards or honors, but his acceptance of a publication in a Scopus-indexed Q2 journal highlights his growing contributions to the academic community. 🏅🎖️

Publications (Top Notes)

“Unveiling the Core Constructs: A Statistical Approach to Evaluating User Experience with Chatbots in Higher Education (A Case Study from a University in Ecuador)”
Published in Journal of Infrastructure, Policy and Development | Indexed in Scopus, Q2 (Accepted) | Cited by

Conclusion:

Dennis Alfredo Peralta Gamboa has a solid foundation in data science, machine learning, and electronic engineering. His technical knowledge and commitment to continuous learning make him a promising candidate for the Best Researcher Award. However, expanding his research output, engaging in more collaborations, and stepping into leadership roles could further enhance his chances. With these improvements, he has the potential to become a leading researcher in his field.