Raghavendran Prabakaran | Mathematics | Innovative Research Award

Published on by Computer Scientists Awards

Innovative Research Award

Raghavendran Prabakaran
Easwari Engineering College

Raghavendran Prabakaran
Affiliation Easwari Engineering College
Country India
Scopus ID 58670546100
Documents 58
Citations 332
h-index 11
Subject Area Mathematics
Event Computer Scientists Awards
ORCID 0009-0001-7333-6555

Raghavendran Prabakaran is affiliated with Easwari Engineering College, India, and is associated with research in mathematics. His supplied academic profile reports 58 documents, 332 citations, and an h-index of 11. These indicators provide a quantitative overview of his scholarly output and citation activity. His profile is presented in connection with the Innovative Research Award at the Computer Scientists Awards. Research records can be explored through his linked academic profiles [1, 2].

Abstract

This article presents the academic profile of Raghavendran Prabakaran, affiliated with Easwari Engineering College, India. His reported bibliometric indicators include 58 documents, 332 citations, and an h-index of 11. The profile highlights mathematics and provides links for examining his scholarly records.

Keywords

Raghavendran Prabakaran; mathematics; academic research; scholarly publications; citation analysis; research impact; innovative research; Computer Scientists Awards.

Introduction

Mathematics contributes to analytical reasoning, quantitative modelling, and methods used across science and engineering. Researcher profiles help readers locate publications and citation records. Institutional affiliation and researcher identifiers provide starting points for examining scholarly work [1, 2].

Research Profile

The supplied profile records 58 documents, 332 citations, and an h-index of 11. Scopus and Google Scholar can help readers review publications and citation information. Counts may differ between databases because of coverage and indexing practices [1, 3].

Research Contributions

Mathematical research may involve theoretical analysis, methodological development, quantitative modelling, and interdisciplinary applications. Specific contributions should be evaluated through verified publications and documented findings rather than inferred from citation indicators alone.

Publications

The reported document count represents scholarly output in the supplied profile. Publication titles, journal details, and digital object identifiers (DOIs) should be checked against the linked databases. No unverified publication or DOI is attributed to the researcher here.

Research Impact

The reported 332 citations indicate recorded citations to the researcher’s work. An h-index of 11 means that at least 11 publications have received at least 11 citations each within the database and snapshot used. Bibliometric indicators should be considered alongside research quality and relevance.

Award Suitability

The Innovative Research Award associated with the Computer Scientists Awards provides a context for recognizing research activity. Assessment may consider originality, verified publications, documented contributions, and alignment with the award criteria. This profile does not independently confirm award selection or receipt.

Conclusion

Raghavendran Prabakaran’s supplied profile reports research activity in mathematics, with 58 documents, 332 citations, and an h-index of 11. His academic identifiers provide resources for further investigation of his scholarly record.

References

  1. Elsevier. (n.d.). Scopus author details: Raghavendran Prabakaran, Author ID 58670546100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58670546100
  2. ORCID. (n.d.). Raghavendran Prabakaran researcher identifier.
    https://orcid.org/0009-0001-7333-6555
  3. Google Scholar. (n.d.). Research publications and citation profile.
    https://scholar.google.co.in/citations?user=9rXT6rQAAAAJ&hl=en
  4. Computer Scientists Awards. (n.d.). Official award website.
    https://computerscientists.net/

 

Quanita Kiran | Mathematics | Innovative Research Award

Published on by Computer Scientists Awards

 

Innovative Research Award

Quanita Kiran
School of Electrical Engineering and Computer Science, National University of Sciences and Technology | Pakistan

Quanita Kiran
Affiliation School of Electrical Engineering and Computer Science, National University of Sciences and Technology
Country Pakistan
Scopus ID 25421878900
Documents 33
Citations 227
h-index 8
Subject Area Mathematics
Event Computer Scientists Awards

Quanita Kiran is a researcher affiliated with the School of Electrical Engineering and Computer Science at the National University of Sciences and Technology in Pakistan. Her supplied scholarly profile records 33 documents, 227 citations, and an h-index of 8. These indicators provide a quantitative overview of her publication activity and citation record. [1] Her profile is presented in connection with the Innovative Research Award and the broader academic fields associated with mathematics and computing.

Abstract

This article presents an academic recognition profile for Quanita Kiran in connection with the Innovative Research Award. It outlines her institutional affiliation, subject area, and supplied bibliometric indicators. Her reported publication record includes 33 documents and 227 citations, with an h-index of 8. \(1\) These details provide a concise reference for understanding her documented scholarly activity.

Keywords

Innovative Research Award; Mathematics; Computer Science; Research Innovation; Academic Publications; Citation Impact; Scholarly Communication; Pakistan; Research Assessment; Electrical Engineering and Computer Science.

Introduction

Mathematics and computer science contribute to the development of analytical methods, computational techniques, and interdisciplinary research. Academic recognition in these areas considers documented scholarship, research activity, and potential contributions to knowledge. Kiran’s profile is situated within this broader research context through her institutional affiliation and reported publication indicators.

Research Profile

Kiran is associated with the School of Electrical Engineering and Computer Science at the National University of Sciences and Technology in Pakistan. The supplied Scopus record identifies 33 documents, 227 citations, and an h-index of 8. [1] These metrics describe aspects of her indexed research output and citation activity.

Research Contributions

Her academic affiliation connects her profile with mathematics, computing, and related technical disciplines. The supplied information does not specify individual research projects or findings; therefore, specific innovations cannot be attributed without additional publication evidence.

Publications

The supplied Scopus profile lists 33 documents. \(1\) Individual titles and DOI identifiers were not supplied for this article. Readers can consult the linked author profile for available publication details and bibliographic records.

Research Impact

The reported 227 citations and h-index of 8 offer quantitative indicators of scholarly visibility. \(1\) Bibliometric measures should be interpreted alongside research quality, methodological rigor, originality, and broader academic or practical contributions.

Award Suitability

The Innovative Research Award provides a recognition context for presenting Kiran’s academic profile. Her documented publication and citation indicators offer relevant background information; formal award eligibility or selection, however, should be determined by the award committee using its published criteria and supporting research evidence.

Conclusion

Quanita Kiran’s profile identifies her institutional affiliation in Pakistan and research activity associated with mathematics and computing. The supplied metrics of 33 documents, 227 citations, and an h-index of 8 provide a concise bibliometric summary. Her Scopus and Google Scholar profiles offer additional resources for reviewing her scholarly record.

References

  1. Elsevier. (n.d.). Scopus author details: Quanita Kiran, Author ID 25421878900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=25421878900
  2. Google Scholar. (n.d.). Quanita Kiran scholarly profile.
    https://scholar.google.com/citations?user=cyi5F04AAAAJ&hl=en&oi=sra
  3. Computer Scientists Awards. (n.d.). Official award website.
    https://computerscientists.net/

 

Luis Manuel Díaz Angulo | Cosmology and Physics | Best Researcher Award

Published on by Computer Scientists Awards

Best Researcher Award

Luis Manuel Díaz Angulo
Universidad de Granada, Spain

Luis Manuel Díaz Angulo is a researcher affiliated with the Universidad de Granada, Spain, whose documented research profile includes work in cosmology and physics and computational methods for electromagnetic problems. His publication record includes recent studies of finite-difference time-domain (FDTD), discontinuous Galerkin time-domain (DGTD), multiconductor transmission-line methods, and computational analysis of Maxwell’s equations.

Luis Manuel Díaz Angulo
Affiliation Universidad de Granada
Country Spain
Scopus ID 35866858300
Documents 53
Citations 723
h-index 14
Subject Area Cosmology and Physics
Event Computer Scientists Awards
ORCID 0000-0002-1690-7892

Abstract

This article presents a scholarly recognition profile for Luis Manuel Díaz Angulo in connection with the Best Researcher Award. The profile records the supplied bibliometric indicators and selected recent publications concerning computational electromagnetics, numerical schemes, and transmission-line modelling. The available record identifies 53 documents, 723 citations, and an h-index of 14 under Scopus author identifier 35866858300. [1]

Keywords

Computational electromagnetics; Maxwell’s equations; FDTD; DGTD; multiconductor transmission lines; numerical computation; electromagnetic compatibility; LTI systems; circuit simulation; cosmology and physics.

Introduction

Díaz Angulo’s supplied publication record demonstrates activity at the intersection of mathematical modelling, numerical computation, and electromagnetic simulation. His recent work addresses the stability, accuracy, computational performance, and coupling of numerical methods used to represent electromagnetic systems. These subjects are relevant to computational physics and engineering applications involving Maxwell’s equations and transmission-line models. [2]

Research Profile

The supplied bibliometric profile associates the researcher with Universidad de Granada and the subject area of Cosmology and Physics. The reported Scopus record contains 53 documents, 723 citations, and an h-index of 14. These indicators provide quantitative information about the indexed publication and citation record but do not independently measure the quality or significance of individual research contributions. [1]

Research Contributions

  • Analysis of local stability for FDTD and DGTD schemes using linear time-invariant systems theory.
  • Evaluation of accuracy and computational performance across different DGTD implementations for Maxwell’s equations.
  • Numerical computation of in-cell parameters for unshielded multiwire structures and coupling between FDTD and multiconductor transmission-line methods.
  • Hybrid integration of a multiconductor transmission-line solver with Ngspice for line interconnections and terminations.

Publications

  1. Local stability of FDTD and DGTD schemes for Maxwell’s equations using LTI systems theory
    • Publication date: November 2026
    • Journal: Computers & Mathematics with Applications
    • Type: Journal Article
  2. An Accuracy and Computational Performance Study of Basis, Operator, and Curvilinear Implementations of DGTD for Maxwell’s Equations
    • Publication date: September 2026
    • Journal: IEEE Transactions on Antennas and Propagation
    • Type: Journal Article
  3. Numerical Computation of Unshielded Multiwires In-Cell Parameters for Coupling Between FDTD and MTL Methods Using Multipolar Expansions
    • Publication date: 2026
    • Journal: IEEE Transactions on Electromagnetic Compatibility
    • Type: Journal Article
  4. Hybridization of Multiconductor Transmission Line Solver With Circuit Solver Ngspice to Treat Line Interconnections and Terminations
    • Publication date: 2025
    • Journal: IEEE Transactions on Electromagnetic Compatibility
    • Type: Journal Article

Research Impact

The reported citation count and h-index indicate that the indexed research has accumulated measurable scholarly attention. The recent publications further show continuity in numerical electromagnetic modelling, including stability analysis, implementation comparisons, electromagnetic compatibility, and circuit coupling. [1]

Award Suitability

For the Best Researcher Award profile, the supplied record provides several documented evaluation dimensions: an indexed publication record, citation activity, h-index, institutional affiliation, and recent peer-reviewed research outputs. These materials can support an award committee’s independent assessment of research productivity, relevance, and scholarly contribution. The numerical indicators should be considered together with publication quality, authorship, originality, and other criteria established by the relevant award process.

Conclusion

Luis Manuel Díaz Angulo’s supplied profile documents research activity associated with computational electromagnetics and physics, supported by 53 indexed documents, 723 citations, and an h-index of 14. The listed 2025–2026 publications demonstrate continuing work on numerical methods for Maxwell’s equations and electromagnetic-system modelling. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Luis Manuel Díaz Angulo, Author ID 35866858300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=35866858300
  2. Universidad de Granada. (n.d.). Research and institutional information.
  3. Díaz Angulo, L. M. (2026). Local stability of FDTD and DGTD schemes for Maxwell’s equations using LTI systems theory. Computers & Mathematics with Applications.
    https://doi.org/10.1016/j.camwa.2026.09.006
  4. Díaz Angulo, L. M. (2026). An Accuracy and Computational Performance Study of Basis, Operator, and Curvilinear Implementations of DGTD for Maxwell’s Equations. IEEE Transactions on Antennas and Propagation.
    https://doi.org/10.1109/TAP.2026.3701027
  5. Díaz Angulo, L. M. (2026). Numerical Computation of Unshielded Multiwires In-Cell Parameters for Coupling Between FDTD and MTL Methods Using Multipolar Expansions. IEEE Transactions on Electromagnetic Compatibility.
    https://doi.org/10.1109/TEMC.2026.3713195
  6. Díaz Angulo, L. M. (2025). Hybridization of Multiconductor Transmission Line Solver With Circuit Solver Ngspice to Treat Line Interconnections and Terminations. IEEE Transactions on Electromagnetic Compatibility.
    https://doi.org/10.1109/TEMC.2025.3560361

Dr. Jan Muhammad | Mathematics | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Jan Muhammad | Mathematics | Best Researcher Award

Shanghai University | China

Dr. Jan Muhammad is a distinguished mathematician and postdoctoral researcher specializing in nonlinear partial differential equations (PDEs), soliton theory, and mathematical physics. His research primarily focuses on analytical and semi-analytical approaches for exploring nonlinear dynamical systems, fractional calculus, and optical wave propagation in applied mathematics and engineering contexts. With over 50 peer-reviewed publications in prestigious international journals, Dr. Muhammad has significantly contributed to advancing the theoretical and applied aspects of nonlinear PDEs and fractional models. His studies often explore the mathematical structures governing complex fluid mechanics, magnetohydrodynamics, and fractional optical systems, offering new insights into the behavior of nonlinear waves, stability, and multistability phenomena. His scholarly impact is reflected by 294 Scopus citations across 149 documents with an h-index of 11, showcasing the depth and reach of his contributions. His work is also widely recognized on Google Scholar, emphasizing his growing influence within the global mathematical community. Dr. Muhammad’s ongoing research bridges mathematical theory with real-world physical systems, demonstrating excellence in mathematical modeling, analytical methods, and interdisciplinary applications.

Profile

Scopus

Featured Publications

Muhammad, J., Fang, L., & Guo, Z. (2020). Global weak solutions to a class of compressible non-Newtonian fluids with vacuum. Mathematical Methods in the Applied Sciences, 43, 5234–5249.

Zhu, H., Fang, L., Muhammad, J., & Guo, Z. (2020). Global weak solutions to a Vlasov–Fokker–Planck/compressible non-Newtonian fluid system of equations. ZAMM, 100, e201900091.

Muhammad, J., Ali, Q., & Younas, U. (2024). Three component coupled fractional nonlinear Schrödinger equations: Diversity of exact optical solitonic structures. Modern Physics Letters B, 2450373.

Muhammad, J. (2024). On the global existence for a class of compressible non-Newtonian fluids with inhomogeneous boundary data. Russian Journal of Mathematical Physics, 31, 276–298.

Muhammad, J., Younas, U., & Nasreen, N. (2024). Multicomponent nonlinear fractional Schrödinger equation: Optical wave propagation in fiber optics. Partial Differential Equations in Applied Mathematics, 100805.