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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Top 5 Featured Publications

 

Kennedy Mensah | Mathematics | Best Researcher Award

Mr. Kennedy Mensah | Mathematics | Best Researcher Award

PhD. Candidate at Kwame Nkrumah University of Science andTechnology, Ghana

Kennedy Mensah is a dedicated and rapidly emerging researcher in applied mathematics, specializing in mathematical biology, tumor-immune modeling, infectious disease dynamics, and computational fluid dynamics. Currently pursuing a PhD at Kwame Nkrumah University of Science and Technology, he serves as an Assistant Lecturer at the University of Energy and Natural Resources. Kennedy has authored and co-authored several peer-reviewed publications in high-impact journals, reflecting his commitment to addressing real-world health and biological challenges through mathematical modeling. His work demonstrates strong interdisciplinary collaboration and practical relevance, with a research portfolio that spans optimal control theory, partial differential equations, and epidemiological modeling. Recognized through prestigious scholarships such as the GNPC Postgraduate and Barclays Tertiary Awards, Kennedy also brings valuable teaching experience and has contributed to national data collection initiatives. His academic achievements, coupled with his research productivity and passion for knowledge dissemination, mark him as a promising candidate for recognition as a Best Researcher.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Kennedy Mensah’s academic journey reflects a strong foundation in mathematical sciences and a continuous pursuit of academic excellence. He is currently a PhD candidate in Applied Mathematics at Kwame Nkrumah University of Science and Technology (KNUST), where he is deepening his expertise in mathematical modeling and computational analysis. He earned his Master of Philosophy (MPhil) in Applied Mathematics from the University of Energy and Natural Resources (UENR) with distinction, graduating with a CGPA of 3.68/4.0. Prior to that, he obtained a Bachelor of Science degree in Mathematics from UENR, finishing with a Second Class Upper Division and a CGPA of 3.58/4.0. His foundational education was at Tamale Senior High School, where he pursued General Arts with a strong emphasis on analytical subjects. This robust academic background has equipped him with critical thinking, analytical reasoning, and advanced problem-solving skills necessary for tackling complex real-world challenges through mathematics.

Professional Experience

Kennedy Mensah has accumulated diverse and impactful professional experience primarily centered around academia, research, and national development initiatives. He currently serves as an Assistant Lecturer at the University of Energy and Natural Resources, where he teaches undergraduate courses in differential equations, statistics, and algebra, among others. His academic career began as a Teaching Assistant and later as a Graduate Assistant, contributing to both instruction and research activities. Additionally, Kennedy has played key roles in national statistical projects, such as the 2023 Integrated Business Establishment Survey and the 2021 Population and Housing Census, where he served as a Field Supervisor and Regional Trainer. These roles highlight his leadership, organizational, and data handling skills. His previous teaching internships and outreach programs at senior high schools further reflect a deep commitment to education and community service. Kennedy’s career trajectory illustrates a balance of research, teaching, and applied service, making him a well-rounded academic professional.

Research Interest

Kennedy Mensah’s research interests lie at the intersection of mathematics and biology, focusing on the use of mathematical models to address critical health and biological phenomena. His primary areas include tumor-immune interaction modeling, continuum modeling of breast cancer, and the mathematical study of breast cancer immunotherapy using spatio-temporal analysis. He also explores optimal control theory and partial differential equations as applied to biological systems, with additional interests in computational biology, infectious disease modeling, and computational fluid dynamics. His work aims to provide quantitative insights into disease progression, treatment strategies, and epidemic control. Kennedy’s multidisciplinary research approach bridges mathematics, health sciences, and computational techniques, enabling him to develop models that are not only theoretically rigorous but also practically applicable. His commitment to mathematical biology and public health demonstrates a passion for using analytical tools to solve real-world problems, with potential impacts in medicine, epidemiology, and environmental health.

Award and Honor

Kennedy Mensah has been recognized for his academic excellence and research potential through several prestigious scholarships and awards. Notably, he received the GNPC Postgraduate Scholarship (2019–2021), awarded to outstanding graduate students in Ghana, which supported his MPhil studies in Applied Mathematics. He also earned the Barclays Tertiary Scholarship (2017–2018), a competitive award for academically strong and financially needy students, and was a recipient of the Mathematics, Science, and Technology Scholarship Scheme (MASTESS) (2016–2017), which supports students excelling in STEM disciplines. These honors reflect not only his strong academic performance but also recognition of his potential to contribute meaningfully to science and society. Kennedy’s ability to secure competitive scholarships from multiple institutions underscores his determination, intellectual merit, and commitment to academic growth. These accolades have played a significant role in supporting his education and research, enabling him to focus on developing high-impact solutions through applied mathematics.

Conclusion

Kennedy Mensah is a driven and innovative researcher with a firm grounding in applied mathematics, a growing record of academic publications, and a deep commitment to using mathematical tools for solving pressing health and societal issues. His journey from undergraduate studies through to a PhD candidacy reflects consistent academic excellence and intellectual growth. With strong experience in teaching, research collaboration, and national survey supervision, Kennedy exemplifies the qualities of a rising academic leader. His interdisciplinary research, especially in mathematical biology and disease modeling, addresses critical areas in public health and biomedical science. Recognized through competitive scholarships and engaged in impactful national initiatives, he has demonstrated both scholarly promise and societal relevance. Kennedy’s blend of technical skill, academic rigor, and community involvement positions him as an outstanding candidate for the Best Researcher Award. His future prospects in academia and research are promising, and he is poised to make lasting contributions in his field.

Publications Top Notes

  • Title: Stability analysis and optimal control strategies of Q fever transmission dynamics in Ghana’s Tropical Grassland
    Authors: Dominic Otoo, Kennedy Mensah, Eugene Adjei, Baaba Abassawah Danquah, Hawa Adusei, Razak Gbemmie Chuaya
    Year: 2025
    Citation: Modeling Earth Systems and Environment, DOI: 10.1007/S40808-025-02341-Y

  • Title: Transmission dynamics of yellow fever with toxic infected population
    Authors: Elvis Kobina Donkoh, Baaba Abassawah Danquah, Francois Mahama, Dauda Musah, Francis Tuffour, Kennedy Mensah, Kwame Kyei Danquah
    Year: 2025
    Citation: Communications in Mathematical Biology and Neuroscience, DOI: 10.28919/cmbn/9036

  • Title: Modeling the spatiotemporal dynamic heterogeneity of pre-synthetic stage breast cancer tumor-immune interactions
    Authors: Kennedy Mensah, Joseph Abeiku Ackora-Prah, Dominic Otoo, Atta Kwame Gyamfi
    Year: 2025
    Citation: Partial Differential Equations in Applied Mathematics, DOI: 10.1016/j.padiff.2025.101200

  • Title: Dynamic Characterization of Parametric Structures and Perturbation Analysis of Blood Flow in the Cranial Arteries
    Authors: Dominic Otoo, Kennedy Mensah, K.A. Adu-Poku, D. Gyamfi, Baaba Abassawah Danquah, Hawa Adusei
    Year: 2024
    Citation: Journal of Fluid Flow, Heat and Mass Transfer, DOI: 10.11159/jffhmt.2024.021

  • Title: Dynamic analysis of Q-fever transmission among cattle in the Tropical Savannah Grassland zone of Ghana (Preprint)
    Authors: Dominic Otoo, Kennedy Mensah, Eugene Adjei, Baaba Abassawah Danquah, Hawa Adusei, Razak G. Chuaya
    Year: 2024
    Citation: bioRxiv Preprint, DOI: 10.1101/2024.11.15.623876

Tamar Schlick | Mathematics | Best Researcher Award

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.