SUNDAY ADESINA ADEBISI | Mathematics | Excellence in Academia Award

Published on by Academic Excellence

Excellence in Academia Award

Sunday Adesina Adebisi
University of Lagos,Nigeria

Sunday Adesina Adebisi
Affiliation University of Lagos
Country Nigeria
Scopus ID 58034081700
Documents 4
Citations 6
h-index 2
Subject Area Mathematics
Event International Academic Excellence Awards
ORCID 0000-0003-3766-0910

Sunday Adesina Adebisi, affiliated with the University of Lagos, Nigeria, is a mathematics researcher whose listed publications address neutrosophic mathematics, algebraic structures, fuzzy subgroup theory and multicriteria decision-making. His research record reflects engagement with mathematical frameworks and their potential applications in theoretical and applied problems. This profile presents his documented scholarly contributions and research indicators in connection with the International Academic Excellence Awards.

1. Abstract

Sunday Adesina Adebisi’s research profile encompasses mathematical investigations involving neutrosophic differential equations, integration principles, fuzzy algebraic systems and decision-making methodologies. His listed publications demonstrate an interest in extending mathematical concepts to generalized structures and addressing problems involving uncertainty. The research record includes four documents, six citations and an h-index of two, according to the supplied Scopus profile information. These indicators provide a quantitative overview of his documented research activity. His work contributes to ongoing scholarly discussions in mathematical theory and its interdisciplinary applications. [1]

2. Keywords

Mathematics, neutrosophic mathematics, neutrosophic differential equations, fuzzy subgroups, algebraic structures, BCI and BCK algebras, multicriteria decision-making, plithogenic hypersoft sets, mathematical modeling, uncertainty theory.

3. Introduction

Mathematics provides foundational methods for understanding abstract structures, quantitative relationships and complex systems. Contemporary mathematical research increasingly explores generalized frameworks that accommodate uncertainty, imprecision and interconnected variables. Neutrosophic mathematics and fuzzy algebra are examples of approaches developed to investigate such problems.

Within this broader research environment, Adebisi’s listed publications address several related mathematical themes. His academic affiliation with the University of Lagos situates his research within Nigeria’s higher education and research community. His publication record offers evidence of engagement with contemporary mathematical questions and developing theoretical approaches. [2]

4. Research Profile

Adebisi’s identified subject area is Mathematics. His research interests, as reflected in the supplied publication titles, include generalized neutrosophic systems, differential equations, integral operations, algebraic structures and mathematical decision-making. These topics connect theoretical mathematical development with frameworks that can represent complex relationships and uncertain information.

His academic profile is associated with the University of Lagos, while his ORCID and Scopus identifiers provide persistent links for researcher identification and bibliographic discovery. [1] [2]

5. Research Contributions

The listed research contributions cover multiple areas of mathematical inquiry, including:

  • Neutrosophic differential equations and their application to exponential growth and decay modeling.
  • Regulatory principles associated with generalized neutrosophic integrals and their operational outcomes.
  • Refinements of neutrosophic BCI and BCK algebraic structures.
  • Fuzzy subgroup investigations involving p-groups and algebraic order.
  • Plithogenic hypersoft sets applied to multicriteria cryptocurrency investment decisions.

Together, these subjects illustrate an interdisciplinary mathematical orientation that connects abstract theory, generalized uncertainty representations and decision-support methodologies. [3]

6. Publications

The supplied publication record identifies the following five research works:

  1. The Generic and Generalized Neutrosophic Differential Equations for Modeling the Exponential Growth and Decay Process (2026). Advances in Neutrosophic Mathematics and Informatics. https://doi.org/10.64060/ANMIV1i32
  2. The Regulatory Principles Involved in the New Neutrosophic Integrals and Their Operational Outcomes (2026). Advances in Neutrosophic Mathematics and Informatics. https://doi.org/10.64060/ANMI1V1i2
  3. The New Refinements Associated with the Contemporary Neutrosophic BCI and the BCK Algebras (2026). Preprint. https://doi.org/10.2139/ssrn.7167174
  4. The Fuzzy Subgroups for the p-groups of an n Power Order of Four for Any Integer n not Less than Three (2025). Multicriteria Algorithms with Applications. https://doi.org/10.61356/j.mawa.2025.6441
  5. Optimizing Cryptocurrency Investment Decisions Using Plithogenic Hypersoft Sets in MCDM (2024). Plithogenic Logic and Computation. https://doi.org/10.61356/j.plc.2024.2433

These works span theoretical mathematics, algebraic investigation and applied decision-making. Publication details and bibliographic records can be accessed through their respective DOI links. [3] [4]

7. Research Impact

The supplied bibliometric indicators record four documents, six citations and an h-index of two. These figures provide a snapshot of the researcher’s indexed scholarly output and citation activity. Citation indicators should be interpreted in relation to publication dates, subject-area practices and the development of an academic career rather than as standalone measures of research quality.

The range of publication topics indicates engagement with mathematical concepts that may support further theoretical exploration and interdisciplinary applications. [1]

8. Award Suitability

The Excellence in Academia Award recognizes academic engagement, research contributions and scholarly development. Adebisi’s documented publications, mathematical subject specialization and indexed research activity provide relevant material for consideration within an academic recognition framework. His work across neutrosophic mathematics, fuzzy algebra and decision-making reflects a varied research portfolio.

The International Academic Excellence Awards provides a platform for recognizing researchers across academic disciplines. Award recognition should be understood in the context of the event’s eligibility requirements and assessment procedures.

9. Conclusion

Sunday Adesina Adebisi’s research profile highlights scholarly activity in mathematics, particularly in neutrosophic systems, algebraic structures, fuzzy subgroup theory and multicriteria decision-making. His listed publications demonstrate engagement with both theoretical and applied mathematical questions. Through his affiliation with the University of Lagos and his indexed research record, he contributes to the wider academic landscape. The Excellence in Academia Award provides an opportunity to acknowledge this documented research engagement as part of the International Academic Excellence Awards.

11. References

  1. Elsevier. (n.d.). Scopus author details: Sunday Adesina Adebisi, Author ID 58034081700. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58034081700
  2. ORCID. (n.d.). Sunday Adesina Adebisi – Researcher Identifier.
    https://orcid.org/0000-0003-3766-0910
  3. Advances in Neutrosophic Mathematics and Informatics. (2026). The Generic and Generalized Neutrosophic Differential Equations for Modeling the Exponential Growth and Decay Process.
    https://doi.org/10.64060/ANMIV1i32
  4. Advances in Neutrosophic Mathematics and Informatics. (2026). The Regulatory Principles Involved in the New Neutrosophic Integrals and Their Operational Outcomes.
    https://doi.org/10.64060/ANMI1V1i2
  5. Social Science Research Network. (2026). The New Refinements Associated with the Contemporary Neutrosophic BCI and the BCK Algebras.
    https://doi.org/10.2139/ssrn.7167174
  6. Multicriteria Algorithms with Applications. (2025). The Fuzzy Subgroups for the p-groups of an n Power Order of Four for Any Integer n not Less than Three.
    https://doi.org/10.61356/j.mawa.2025.6441
  7. Plithogenic Logic and Computation. (2024). Optimizing Cryptocurrency Investment Decisions Using Plithogenic Hypersoft Sets in MCDM.
    https://doi.org/10.61356/j.plc.2024.2433

Yasir Ramzan | Mathematics | Editorial Board Member

Published on by Academic Excellence

Editorial Board Member

Yasir Ramzan
Shanghai University,China

Yasir Ramzan
Affiliation Shanghai University
Country China
Scopus ID 56199594500
Documents 13
Citations 82
h-index 6
Subject Area Mathematics
Event International Academic Excellence Awards
ORCID 0009-0007-1948-5465

Yasir Ramzan is a researcher affiliated with Shanghai University, China, whose listed scholarly work covers mathematical modelling, epidemic dynamics, nonlinear optimization, and computational methods. His publication record includes studies of infectious-disease transmission and intervention strategies, alongside research into physics-informed neural networks (PINNs). These topics connect mathematical theory with computational approaches to complex scientific problems. The profile information presented here reflects the supplied researcher metrics and publication details; bibliographic records and author attribution should be checked against the linked scholarly sources

Abstract

Yasir Ramzan’s supplied publication list highlights the use of mathematical models to investigate infectious-disease transmission, potential health consequences, and intervention strategies. His listed work also considers optimization approaches for PINNs, a class of machine-learning methods that incorporates mathematical and physical constraints. Together, these themes demonstrate how mathematical analysis and computational modelling can support the study of complex systems. His supplied Scopus metrics report 13 documents, 82 citations, and an h-index of 6. [1]

Keywords

Mathematical modelling; epidemic dynamics; nonlinear optimization; infectious-disease modelling; physics-informed neural networks; computational mathematics; intervention strategies.

Introduction

Mathematical modelling provides a structured way to represent changing systems, examine relationships among variables, and evaluate possible outcomes under defined assumptions. In epidemiology, models can help explore transmission pathways and compare potential control measures. In computational science, optimization techniques can improve how numerical models are trained or evaluated. The publications supplied for Ramzan reflect both areas of inquiry, although individual findings and methods should be interpreted through the original articles rather than inferred from titles alone. [2]

Research Profile

Ramzan is affiliated with Shanghai University and is associated in the supplied information with Mathematics. His listed research spans mathematical frameworks for disease dynamics, optimization, and data-driven computational modelling. These areas draw on differential equations, numerical analysis, and algorithmic methods to represent systems and investigate how their behaviour changes under different assumptions. His author identifier and ORCID provide routes for checking publication attribution and profile information. [1]

Research Contributions

The supplied article titles indicate several research directions:

  • Epidemic modelling: mathematical analysis of MERS-CoV and Lassa virus transmission, including intermediate-host dynamics and intervention strategies. [2] [3]
  • Optimization and PINNs: comparative analysis of modelling methods and variable-dependent weighting strategies for physics-informed neural networks. [4]
  • Transmission-associated health risks: models examining Lassa fever, disability risks, and a reported rabineurodeficiency syndrome. [5] [6]

These topics suggest an emphasis on mathematical frameworks for describing transmission and evaluating model-based interventions. Detailed claims about effectiveness or clinical implications require examination of each paper’s methods, assumptions, and results.

Publications

Selected works from the supplied publication information include:

  1. “Analysis of a Deterministic Model for MERS-CoV Transmission Involving an Intermediate Host and Pragmatic Control Interventions.” Iranian Journal of Science and Technology, Transactions of Electrical Engineering (2026). https://doi.org/10.1007/s40998-026-01208-x [2]
  2. “A systematic comparative analysis of modeling methods and variable-dependent weight optimization strategy for PINNs.” Chaos, Solitons & Fractals (2026). https://doi.org/10.1016/j.chaos.2026.118163 [4]
  3. “A mathematical framework for integrating epidemic dynamics and intervention strategies to mitigate hearing loss from lassa virus.” International Journal of Biomathematics (2026). https://doi.org/10.1142/S179352452550175X [3]
  4. “A nonlinear optimization framework for a Lassa fever model capturing zoogenic transmission and disability risks.” European Physical Journal Plus (2025). https://doi.org/10.1140/epjp/s13360-025-06902-z [5]
  5. “Decoding the transmission and subsequent disability risks of rabineurodeficiency syndrome without recuperation.” Scientific Reports (2025). https://doi.org/10.1038/s41598-025-01066-3 [6]

Research Impact

The supplied bibliometric snapshot records 13 documents, 82 citations, and an h-index of 6. These figures provide a limited quantitative view of publication and citation activity at the time the profile data were collected. Citation counts and h-index values may change as databases update, and differences in coverage can produce different results across platforms. They should therefore be read alongside the substance, reproducibility, and relevance of the research. [1]

Award Suitability

Ramzan’s listed work offers relevant material for consideration in an academic recognition context focused on Mathematics and interdisciplinary computational research. His supplied publications address modelling, optimization, and health-related applications. Any formal assessment for the International Academic Excellence Awards should rely on the award’s published criteria, verified authorship, documented research contributions, and independent evaluation. This profile records research information and does not itself imply a particular award decision or outcome.

Conclusion

Yasir Ramzan’s supplied academic profile presents research at the intersection of mathematical modelling, infectious-disease dynamics, and computational optimization. The selected publications illustrate applications of quantitative methods to scientific questions, while the provided bibliometric figures offer a snapshot of scholarly visibility. Readers can consult the linked author profiles and original articles for updated metrics, complete bibliographic information, and the evidence needed to assess individual contributions.

References

  1. Elsevier. (n.d.). Scopus author details: Yasir Ramzan, Author ID 56199594500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56199594500
  2. “Analysis of a Deterministic Model for MERS-CoV Transmission Involving an Intermediate Host and Pragmatic Control Interventions.” (2026). Iranian Journal of Science and Technology, Transactions of Electrical Engineering.
    https://doi.org/10.1007/s40998-026-01208-x
  3. “A mathematical framework for integrating epidemic dynamics and intervention strategies to mitigate hearing loss from lassa virus.” (2026). International Journal of Biomathematics.
    https://doi.org/10.1142/S179352452550175X
  4. “A systematic comparative analysis of modeling methods and variable-dependent weight optimization strategy for PINNs.” (2026). Chaos, Solitons & Fractals.
    https://doi.org/10.1016/j.chaos.2026.118163
  5. “A nonlinear optimization framework for a Lassa fever model capturing zoogenic transmission and disability risks.” (2025). European Physical Journal Plus.
    https://doi.org/10.1140/epjp/s13360-025-06902-z
  6. “Decoding the transmission and subsequent disability risks of rabineurodeficiency syndrome without recuperation.” (2025). Scientific Reports.
    https://doi.org/10.1038/s41598-025-01066-3

Muhammad Bilal Arain | Mathematics | Best Researcher Award

Published on by Academic Excellence

Assist. Prof. Dr. Muhammad Bilal Arain | Mathematics | Best Researcher Award

Dr. M. B. Arain is a distinguished researcher and academic in the field of mathematical fluid dynamics and computational modeling, currently serving as a Senior Lecturer at the College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), China. He earned his Ph.D. in Mathematics from the International Islamic University Islamabad (IIUI), Pakistan, where his doctoral research focused on the transport of motile gyrotactic microorganisms in viscoelastic fluids. His academic background is complemented by postgraduate qualifications in education and extensive teaching experience across Pakistan and China. Dr. Arain’s research integrates artificial neural networks (ANNs), nanofluids, heat and mass transfer, and electro-magneto-hydrodynamics, addressing complex fluid flow problems with innovative computational techniques. His work has contributed to high-impact areas such as bio-convective nanofluid systems, acoustic wave-driven bubble dynamics, and intelligent predictive modeling for nonlinear phenomena. He has published over 35 SCI/SCI-E indexed papers in renowned journals including Physics of Fluids, Engineering Applications of Artificial Intelligence, and Case Studies in Thermal Engineering, with an H-index of 15 and over 850 citations on Google Scholar. His research excellence is recognized through his role as a corresponding author on several high-impact publications and through prestigious projects funded by NUAA, the National Natural Science Foundation of China, and King Khalid University, Saudi Arabia. A recipient of the HEC Fulbright PhD Scholarship, Dr. Arain continues to advance the frontiers of computational fluid mechanics, fostering cross-disciplinary collaboration in applied mathematics and aerospace sciences.

Profiles: Orcid | Google Scholar

Featured Publications

  • Bhatti, M. M., Arain, M. B., Zeeshan, A., Ellahi, R., & Doranehgard, M. H. (2022). Swimming of gyrotactic microorganism in MHD Williamson nanofluid flow between rotating circular plates embedded in porous medium: Application of thermal energy storage. Journal of Energy Storage, 45, 103511.

  • Zhang, L., Arain, M. B., Bhatti, M. M., Zeeshan, A., & Hal-Sulami, H. (2020). Effects of magnetic Reynolds number on swimming of gyrotactic microorganisms between rotating circular plates filled with nanofluids. Applied Mathematics and Mechanics, 41(4), 637–654.

  • Shaheen, S., Arain, M. B., Nisar, K. S., Albakri, A., Shamshuddin, M. D., & Mallawi, F. O. (2023). A case study of heat transmission in a Williamson fluid flow through a ciliated porous channel: A semi-numerical approach. Case Studies in Thermal Engineering, 41, 102523.

  • Arain, M. B., Bhatti, M. M., Zeeshan, A., Saeed, T., & Hobiny, A. (2020). Analysis of Arrhenius kinetics on multiphase flow between a pair of rotating circular plates. Mathematical Problems in Engineering, 2020(1), 2749105.

  • Fatima, N., Belhadj, W., Nisar, K. S., Alaoui, M. K., Arain, M. B., & Ijaz, N. (2023). Heat and mass transmission in a boundary layer flow due to swimming of motile gyrotactic microorganisms with variable wall temperature over a flat plate. Case Studies in Thermal Engineering, 45, 102953.