Kenneth Ojotogba Achema | Applied Mathematics | Best Applied Science Award

Published on by Applied Scientist

Best Applied Science Award

Kenneth Ojotogba Achema
Nelson Mandela University

Kenneth Ojotogba Achema
Affiliation Nelson Mandela University
Country South Africa
Scopus ID 57222041273
Documents 4
Citations 16
h-index 3
Subject area Applied Mathematics
Event Applied Scientist Awards
ORCID 0009-0009-3860-2422

Kenneth Ojotogba Achema is identified in the supplied information as a researcher affiliated with Nelson Mandela University, South Africa, with applied mathematics listed as the subject area. The provided bibliometric figures report four documents, 16 citations and an h-index of 3. These indicators offer a quantitative overview of the indexed research record but do not independently establish the quality, originality or practical impact of individual studies. The researcher’s scholarly records can be explored through Scopus, ORCID and Google Scholar. [1] [2]

Abstract

Kenneth Ojotogba Achema is associated with Nelson Mandela University and is identified in the supplied profile as working in applied mathematics. The provided bibliometric record reports four documents, 16 citations and an h-index of 3. These indicators describe aspects of indexed scholarly output and citation activity. A comprehensive assessment of research requires consideration of the underlying publications, research methods, originality, reproducibility and documented applications. This article summarizes the supplied profile and outlines considerations relevant to an applied-science award assessment without attributing unverified research achievements to the researcher. [1] [4]

Keywords

Kenneth Ojotogba Achema; applied mathematics; applied science; mathematical modelling; quantitative research; bibliometrics; scholarly publications; research evaluation; Nelson Mandela University; Applied Scientist Awards.

Introduction

Applied mathematics applies mathematical principles and analytical techniques to problems in science, engineering, technology and other fields. Depending on the research question, it may involve mathematical modelling, numerical analysis, optimization, differential equations, statistics or computational methods. The significance of an individual contribution depends on the problem addressed, the soundness of the methodology and the evidence supporting its findings.[1] [2]

Research Profile

Kenneth Ojotogba Achema is listed in the supplied information as affiliated with Nelson Mandela University in South Africa. Applied mathematics is the stated subject area. Detailed information about academic qualifications, appointments, research projects and specific mathematical specializations was not included in the supplied data and is therefore not inferred here. The supplied Scopus Author ID is 57222041273. The provided ORCID identifier is 0009-0009-3860-2422, and a Google Scholar profile is also available through the link listed below.[2] [3]

Research Contributions

The supplied information identifies the researcher’s subject area and bibliometric indicators but does not specify individual studies, mathematical models, algorithms, datasets or validated applications. Specific research contributions should therefore be described only after the corresponding publications or project records have been reviewed.

Publications

The supplied profile reports four indexed documents. The individual publication titles, co-authors, publication years, journal or conference details and DOI identifiers were not included in the information provided for this article. Accordingly, a verified publication bibliography cannot be generated from the available data alone.[4] [5]

Research Impact

Research impact can be assessed through several dimensions, including scholarly citations, methodological advances, disciplinary relevance, reproducibility and documented practical applications. Citation counts indicate that indexed publications have been cited, but they do not directly measure the validity, originality or societal value of a study. Citation patterns also vary by discipline, publication age and database coverage. [4]

Award Suitability

The Best Applied Science Award is the recognition category specified in the supplied brief. The Applied Scientist Awards website should be consulted for the official award categories, eligibility requirements, evaluation procedures and announcements.

The supplied bibliometric figures may assist with an initial review but are not sufficient by themselves to determine award merit. The information supplied for this article does not confirm that Kenneth Ojotogba Achema has received the award. An award result should be stated as fact only when supported by an official announcement or verified organizer documentation.

Conclusion

Kenneth Ojotogba Achema is identified in the supplied information as a researcher affiliated with Nelson Mandela University, with applied mathematics as the stated subject area. The provided profile reports four documents, 16 citations and an h-index of 3. These indicators offer a starting point for reviewing indexed research activity but should be considered alongside verified publications, research quality and documented contributions.

References

  1. Elsevier. (n.d.). Scopus author details: Kenneth Ojotogba Achema, Author ID 57222041273. Scopus. Author record supplied for profile verification.
    https://www.scopus.com/authid/detail.uri?authorId=57222041273
  2. RI Gweryina, C Alfiniyah, CE Madubueze, KO Achema. (2024). Nonlinear dynamics model of HIV/AIDS: Assessing the impacts of condoms, vaginal microbicides, and optimized treatment.
    https://www.sciencedirect.com/science/article/pii/S266681812400319X
  3. KO Achema, W Mbava. (2026). Age-structured modelling of aquatic populations exposed to multiple pesticides: Assessing the impacts on population dynamics with optimal control strategies.
    https://www.sciencedirect.com/science/article/pii/S2666720726001906
  4. KO Achema. (2025). Mathematical Model and Analysis of Toxicant Effect on Human Health in Fuzzy Environment.
    https://earthlinepublishers.com/index.php/ejms/article/view/1075
  5. KO Achema, D Okuonghae, I Tongo. (2021). Dual-level toxicity assessment of biodegradable pesticides to aquatic species.
    https://www.sciencedirect.com/science/article/pii/S1476945X21000040

Roberto Amato | Number Theory | Scientific Contribution Award

Published on by Applied Scientist

Prof. Roberto Amato | Number Theory | Scientific Contribution Award

Professor at University of Messina, Italy.

Prof. Roberto Amato is a seasoned Italian mathematician with deep expertise in functional analysis and number theory. With a distinguished academic journey that began at the University of Messina and extended through specialized research at SISSA, Trieste, he has contributed extensively to the fields of mathematical analysis and number theory. His recent work focuses on the algebraic and structural properties of Pythagorean triples. Over his multi-decade career, Prof. Amato has taught numerous mathematical subjects to students in science, engineering, and applied disciplines, demonstrating a remarkable ability to bridge theory and pedagogy.

Professional Profile

Education

  • Laurea in Mathematics (with honors): University of Messina, Faculty of Sciences – October 5, 1981

  • Magister Philosophiae in Functional Analysis: International School for Advanced Studies (SISSA), Trieste – 1984/1985

  • Research Scholar in Functional Analysis: SISSA, Trieste (1983–1987), supported by a competitive scholarship

Professional Experience

Prof. Roberto Amato began his academic career as a Researcher at the Department of Mathematics, University of Messina, on October 5, 1987, after winning a national competition. He was confirmed as a permanent researcher in 1991. Since 2013, he has been serving in the Department of Engineering at the same university. With a teaching career spanning over three decades, he has instructed a wide range of undergraduate courses in Mathematical Analysis across various degree programs including Mathematics, Physics, Electronic and Computer Engineering, Materials Engineering, Civil Engineering, Navigation Sciences, and Nutraceutical Sciences. His expertise has shaped foundational mathematics curricula in both science and engineering faculties.

Research Interests

  • Number Theory: Especially focused on Pythagorean triples and their algebraic structures

  • Functional Analysis: Differentiability for parabolic systems and regularity of nonlinear elliptic operators

  • Mathematical Analysis: Emphasis on variational and non-variational solutions and mathematical foundations of applied systems

Publications Top Notes

  • “A characterization of Pythagorean triples”
    JP Journal of Algebra, Number Theory and Applications, 39(2), pp. 221–230, 2017 — Cited: 16 times

  • “Some relations among Pythagorean triples”
    International Journal of Mathematics and Computer Science, 16(1), pp. 143–147, 2021 — Cited: 6 times

  • “A note on Pythagorean Triples”
    International Journal of Mathematics and Computer Science, 15(2), pp. 485–490, 2020 — Cited: 6 times

  • “A characterization of primitive Pythagorean triples”
    Palestine Journal of Mathematics, 12(2), pp. 524–529, 2023 — Cited: 4 times

  • “Groups and Monoid in the Set of Pythagorean Triples”
    INTEGERS, 24(A5), pp. 1–13, 2024 — Cited: 2 times

Conclusion

Prof. Roberto Amato is a well-qualified and credible nominee for the Research for Scientific Contribution Award in the field of Number Theory. His career demonstrates a consistent and focused trajectory in exploring classical number-theoretic problems with modern mathematical tools. His dedication to teaching and bridging theory with applied science education also reflects a holistic academic contribution.

While further impact could be enhanced by strategic international collaboration and grant leadership, his scholarly output and academic influence—particularly in structural number theory—make him a strong candidate for this prestigious recognition.