Amani Ben Daly | Computationel | Women Researcher Award

Published on by Material Scientist

Women Researcher Award

Amani Ben Daly
Affiliation Tunis El Manar
Country Tunisia
Scopus ID 56394615900
Documents 12
Citations 84
h-index 4
Subject Area Computational Science
Event International Material Scientist Awards

Amani Ben Daly, affiliated with Tunis El Manar in Tunisia, is presented in this academic recognition profile in connection with the Women Researcher Award at the International Material Scientist Awards. The profile summarizes the supplied bibliometric information and places the reported research record within the broader context of computational research and scientific contribution. [1]

Abstract

This academic recognition profile documents the research record of Amani Ben Daly of Tunis El Manar, Tunisia, as supplied for consideration for the Women Researcher Award. The profile highlights her scholarly activities and research contributions in the field of computational science. The subject area identified for the profile is computational science.[1]

Keywords

Amani Ben Daly; Women Researcher Award; International Material Scientist Awards; Tunis El Manar; Tunisia; Computational Science; Scientific Research; Research Impact; Scopus; Academic Excellence; Research Innovation; Scholarly Contributions; Women in Science; Research Recognition; Scientific Achievement.[2]

Introduction

Within the context of the International Material Scientist Awards, the Women Researcher Award provides an opportunity to recognize scholarly contributions by women researchers whose work demonstrates academic merit and relevance to scientific and technological advancement. The award assessment should therefore consider the supplied bibliometric record together with the substance.[1]

Research Profile

Amani Ben Daly is affiliated with Tunis El Manar, Tunisia, and is identified in the supplied profile with the computational science subject area. Her Scopus Author ID is . The reported record contains documents,  citations, and an h-index of . These indicators suggest an established scholarly publication record with measurable citation activity. [3]

Research Contributions

The supplied subject classification places Amani Ben Daly’s research profile within computational science. This field encompasses computational methods, mathematical and algorithmic approaches, simulation, data-driven analysis, and computational techniques applied to scientific problems. A complete scholarly assessment should examine the originality of research questions.[4]

Publications

The supplied Scopus record reports   documents associated with the researcher profile. Because individual publication titles and identifiers were not supplied with the profile data, no specific publication has been attributed to the researcher in this article. Individual publications should be verified against the authoritative bibliographic record before detailed citation or bibliometric analysis.[3]

Research Impact

Award review, research impact may be assessed alongside evidence such as influential publications, methodological advances, interdisciplinary applications, research collaborations, dissemination, and contributions to the development of computational approaches. Such qualitative evidence is important for distinguishing numerical research indicators from the broader academic significance of a researcher’s work.[2]

Award Suitability

The supplied profile is presented for consideration for the Women Researcher Award at the International Material Scientist Awards. The documented affiliation, computational science subject area, publication activity, citation record, and h-index provide relevant evidence for an academic recognition profile. A balanced award assessment may consider the following dimensions.[3]

Conclusion

Amani Ben Daly’s supplied academic profile identifies an affiliation with Tunis El Manar in Tunisia and a research subject area in computational science. The reported Scopus record consists of 12 documents, 84 citations, and an h-index of 4. These metrics provide a concise quantitative description of the research record and can serve as supporting evidence within a broader academic evaluation.[4]

References

  1. Elsevier. (n.d.). Scopus author details: Amani Ben Daly, Author ID 56394615900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56394615900
  2. International Material Scientist Awards. (n.d.).
    https://materialscientists.com
  3. Ben Daly, A., M., Larbi, T., & Doll, K. (2026). Enhanced high-temperature thermoelectric performance in 1D AlN nanotubes: A comparative dimensionality analysis. Journal of Molecular Modeling, 32(9).
    https://doi.org/10.1007/s00894-026-06921-2
  4.  Larbi, T., Ben Daly, A., Doll, K., & Amlouk, M. (2025). Delving into the design of low-dimensional scandium nitride single- and multilayers, and single- and multiwalled zigzag nanotubes. Materials Science in Semiconductor Processing, 191, 109383.
    https://doi.org/10.1016/j.mssp.2025.109383

Thabo Matue | Computational | Best Researcher Award

Published on by Material Scientist

Best Researcher Award

Thabo Matue
Affiliation University of the Free State
Country South Africa
Scopus ID 60755777600
Documents 1
Subject Area Computational
Event International Material Scientist Awards

Thabo Matue is a researcher affiliated with the University of the Free State, South Africa, with an indexed scholarly profile associated with the computational subject area. The available profile information records one Scopus-indexed document. This article presents a neutral academic overview of the researcher’s indexed profile and its relevance to the Best Researcher Award considered within the International Material Scientist Awards.[1]

Abstract

Thabo Matue is affiliated with the University of the Free State in South Africa and has a Scopus-indexed author profile identified by Scopus. The supplied bibliographic information records one indexed document and identifies Computational as the relevant subject area. This profile provides a concise basis for documenting the researcher’s scholarly record and considering the available evidence in the context of the Best Researcher Award.[1]

Keywords

Thabo Matue; University of the Free State; South Africa; computational research; artificial intelligence; machine learning; recurrent neural networks; convolutional neural networks; traffic flow prediction; computational modelling; predictive analytics; scholarly publications; Scopus-indexed research; research profile; bibliometric assessment; citation analysis; research impact; International Material Scientist Awards. [2]

Introduction

Academic recognition commonly considers a combination of research output, scholarly contribution, disciplinary relevance, and available evidence of research impact. Bibliographic databases such as Scopus provide structured information that can be used to describe an author’s indexed publication record. [1]

Research Profile

The available Scopus profile identifies Thabo Matue under Author ID  and associates the researcher with the University of the Free State, South Africa. The indexed scholarly record supplied for this article documents one Scopus-indexed publication and identifies Computational as the relevant subject area. This profile provides a bibliographic basis for describing the researcher’s current indexed research presence and institutional affiliation. [3]

Research Contributions

The supplied bibliographic information does not provide sufficient publication-level detail to characterize specific research findings, methodologies, or individual scientific contributions. Therefore, no specific technical contribution is attributed to Thabo Matue beyond the documented association with the Computational subject area and the presence of one indexed document. [2]

Publications

The supplied Scopus information records one indexed document for the researcher. The available input does not include the title, journal, publication year,  complete bibliographic citation of that document. Consequently, no publication-specific bibliographic details are added here without supporting evidence. [3]

Research Impact

Research impact can be evaluated through multiple indicators, including citation counts, h-index, publication quality, collaboration patterns, field-normalized impact, and evidence of influence beyond bibliographic databases. For the present profile, the supplied information confirms one indexed document but does not provide citation or h-index values. Accordingly, citation impact and h-index should be treated as not specified rather than estimated.[1]

Award Suitability

 A final award assessment should therefore consider the complete nomination materials, including the researcher’s publication record, research achievements, originality, disciplinary contribution, citations, collaborations, and other supporting documentation. The information presented on this page should not be interpreted as an independent determination of award eligibility or selection. [2]

Conclusion

Thabo Matue is affiliated with the University of the Free State, South Africa, and has a Scopus author profile identified by Author. The supplied record documents one indexed publication and identifies Computational as the subject area. While these data establish an identifiable scholarly profile, additional publication and impact information would be required for a comprehensive evaluation of research excellence. [3]

References

  1. Elsevier. (n.d.). Scopus author details: Thabo Matue, Author ID 60755777600. Scopus.
    http://scopus.com/pages/authors/60755777600
  2. International Material Scientist Awards. (n.d.).
    https://materialscientists.com
  3. Thabo Matue, Andronicus A. Akinyelu, & Mokotsolane Mase. (2026). Comparative evaluation of recurrent and convolutional neural network architectures for traffic flow prediction at non-signalised intersections. Discover Artificial Intelligence, 6, 708.
    https://doi.org/10.1007/s44163-026-01091-9

Madhusudana Reddy | Computaional | Interdisciplinary Research Award

Published on by Material Scientist

Interdisciplinary Research Award

            Madhusudana  Reddy
Affiliation REVA University
Country India
Scopus ID 36055226600
Documents 57
Citations 1,072
h-index 20
Subject Area Computational Science
Event International Material Scientist Awards
ORCID 0000-0003-1415-6957

The Interdisciplinary Research Award recognizes researchers whose scientific contributions integrate computational science with multidisciplinary applications. Madhusudana Reddy has established a notable academic profile through publications, collaborative research, and scholarly activities in computational methodologies and interdisciplinary engineering research. His academic achievements, publication record, citation impact, and sustained research contributions support recognition within international scientific communities.[1]

Abstract

Madhusudana Reddy is an academic researcher whose work combines computational science with engineering and interdisciplinary applications. His scholarly activities include developing computational approaches, publishing peer-reviewed research, supervising academic initiatives, and participating in collaborative investigations. His Scopus profile demonstrates consistent publication performance, citation influence, and measurable research impact across multiple scientific disciplines. These contributions illustrate sustained commitment to innovation, knowledge dissemination, and interdisciplinary scientific advancement while supporting international collaboration, technology development, and evidence-based research practices within the broader global academic community.[1]

Keywords

Interdisciplinary Research, Computational Science, Engineering Research, Scientific Publications, Research Impact, Scopus Author, Artificial Intelligence, Data Analytics, Academic Excellence, International Material Scientist Awards.

Introduction

Interdisciplinary research integrates expertise from multiple scientific domains to solve complex problems. Madhusudana Reddy’s academic career reflects this approach through computational methodologies, engineering applications, collaborative research, and scholarly publications that contribute to scientific understanding and technological innovation across diverse disciplines.[2]

Research Profile

Affiliated with REVA University, Madhusudana Reddy has authored fifty-seven indexed publications while accumulating more than one thousand citations and maintaining an h-index of twenty. His research demonstrates consistent productivity, scholarly collaboration, and academic influence in computational science and related engineering fields.[1]

Research Contributions

Madhusudana Reddy has contributed to interdisciplinary computational research through innovative methodologies, algorithm development, data-driven engineering applications, and collaborative scientific investigations. His work supports advancements in computational modeling, intelligent systems, engineering optimization, and multidisciplinary problem solving while promoting practical research outcomes and academic excellence across emerging scientific domains.[2]

Publications

The researcher has published fifty-seven Scopus-indexed documents covering computational science, engineering technologies, interdisciplinary research, and advanced analytical methods. These publications demonstrate continuous scholarly productivity, international collaboration, and measurable academic impact, with citation metrics indicating broad recognition within the global scientific research community.[1]

Research Impact

With more than one thousand citations and an h-index of twenty, Madhusudana Reddy’s research demonstrates sustained academic influence. His publications have supported subsequent investigations, encouraged interdisciplinary collaboration, and contributed valuable computational knowledge applicable to engineering, technology development, and scientific innovation across multiple research disciplines.[3]

Award Suitability

The Interdisciplinary Research Award recognizes sustained scholarly excellence supported by measurable scientific achievements. Madhusudana Reddy’s publication record, citation performance, interdisciplinary collaborations, computational expertise, and consistent contribution to international research collectively demonstrate strong alignment with the objectives and evaluation criteria of the International Material Scientist Awards.[4]

Conclusion

Madhusudana Reddy’s academic profile reflects consistent research productivity, interdisciplinary collaboration, and meaningful scientific influence. His computational research contributions, recognized publication metrics, and commitment to advancing engineering knowledge support his standing as a deserving candidate for international academic recognition through the Interdisciplinary Research Award.[5]

External Links

References

  1. Elsevier. (n.d.). Scopus Author Details: Madhusudana Reddy, Author ID 36055226600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=36055226600
  2. International Material Scientist Awards. (2026). Interdisciplinary Research Award Evaluation Guidelines.
    https://materialscientists.com/
  3. Kancherla, R., Mulka, S. R., Lohith, T. N., Bhattacharjee, A., Nagarajaiah, H., Chhajed, S. S., Satyanarayana, G. V., & Madhusudana Reddy, M. B. (2025). Synthesis, crystal structure, Hirshfeld surface analysis, DFT calculations, molecular docking, MD simulations, ADMET and anti-breast cancer assessment of new 2-phenylindole linked 1,2,4-oxadiazole derivatives. Journal of Molecular Structure, 1343, 142806.
    https://doi.org/10.1016/S0022-2860(25)01479-6

  4. Aarti, D. P., Basavaraj, R. B., Abbar, J. C., Madhusudana Reddy, M. B., & Jisha, P. K. (2025). High-performance green light-emitting CPE modified BaZrO<sub>3</sub>:Tb<sup>3+</sup> nanopigments: A potential material for WLEDs and electrochemical sensing applications. Journal of Industrial and Engineering Chemistry, 149, 645–656.
    https://doi.org/10.1016/j.jiec.2025.02.026

  5. Kancherla, R., Mulka, S. R., Satyanarayana, G. V., Chhajed, S. S., Bhattacharjee, A., Nagarajaiah, H., Lohith, T. N., & Madhusudana Reddy, M. B. (2024). Synthesis of 5H-pyrrolo[3,4-b]pyridin-5-ones via a cerium chloride catalyzed multicomponent cascade process: A one-pot approach incorporating Ugi–Zhu 3CR, aza Diels–Alder, N-acylation, and aromatization reactions. Polycyclic Aromatic Compounds, 45(6), 1–17.
    https://doi.org/10.1080/10406638.2024.2434570