Raghavendran Prabakaran | Mathematics | Innovative Research Award

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

 

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/

 

Mr. Muhammad Awais Raza | Mathematics | Research Excellence Award

Mr. Muhammad Awais Raza | Mathematics | Research Excellence Award

University of the Punjab | Pakistan

Mr. Muhammad Awais Raza is an emerging researcher in Number Theory with a strong focus on algebraic structures, graph theory, and topological indices, particularly their applications in chemical graph theory and power-congruence graphs. His research explores structural properties of graphs defined over modular systems and advances mathematical modeling techniques relevant to both pure and applied mathematics. He has contributed to peer-reviewed publications and ongoing submissions in reputable international journals, reflecting a growing academic presence. According to available records, his research output includes multiple documents indexed in Google Scholar and Scopus, with developing citation counts and an emerging h-index, demonstrating steady progress and promising impact in the mathematical sciences.

View ORCID Profile

Featured Publications

Assist. Prof. Dr. Lotfi Jlali | Mathematics | Best Researcher Award

Assist. Prof. Dr. Lotfi Jlali | Mathematics | Best Researcher Award

Imam Mohammad Ibn Saud Islamic University | Tunisia

Dr. Lotfi Mohamed Alhosine Jlali is an accomplished Tunisian mathematician and Assistant Professor at Imam Mohammad Ibn Saud Islamic University, Saudi Arabia. His research primarily focuses on Partial Differential Equations (PDEs) and Nonlinear Analysis, with particular expertise in the mathematical modeling of fluid dynamics, including the Navier–Stokes, Euler, and Magnetohydrodynamic (MHD) systems. Dr. Jlali’s work delves into the local and global existence, uniqueness, and regularity of solutions for incompressible fluid equations, as well as the asymptotic behavior of problems influenced by small or large parameters, such as rotating and anisotropic fluid systems. His studies also address the blow-up criteria for non-regular solutions and the stability of global solutions, applying advanced mathematical tools like Strichartz inequalities, energy estimates, and Sobolev embeddings. Dr. Jlali has made significant contributions to understanding the long-term dynamics of fluid equations, particularly in Sobolev–Gevrey and Fourier–Lei–Lin spaces. His research output includes 13 indexed publications with 51 citations in Scopus (h-index: 4) and 85 citations on Google Scholar (h-index: 5, i10-index: 3), reflecting the growing impact of his work in mathematical fluid mechanics.

Profile

Scopus | ORCID | Google Scholar

Featured Publications:

Benameur, J., & Jlali, L. (2016). Long time decay for 3D Navier-Stokes equations in Sobolev-Gevrey spaces. Electronic Journal of Differential Equations.

Benameur, J., & Jlali, L. (2016). On the blow-up criterion of 3D-NSE in Sobolev–Gevrey spaces. Journal of Mathematical Fluid Mechanics.

Jlali, L. (2017). Global well posedness of 3D-NSE in Fourier–Lei–Lin spaces. Mathematical Methods in the Applied Sciences.

Benameur, J., & Jlali, L. (2020). Long time decay of 3D-NSE in Lei-Lin-Gevrey spaces. Mathematica Slovaca.

Jlali, L., & Benameur, J. (2024). Long time decay of incompressible convective Brinkman-Forchheimer in L2(R3). Demonstratio Mathematica.

Dr. Jan Muhammad | Mathematics | Best Researcher Award

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.

MANIKANDAN S | Mathematics | Best Researcher Award

MANIKANDAN S | Mathematics | Best Researcher Award

Research Scholar, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India

Mr. Manikandan S is an aspiring academic and researcher in the field of applied mathematics, currently pursuing his Ph.D. in Fractional Mathematical Modelling at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai. With a passion for mathematical research and a keen interest in fractional calculus, he has made significant contributions to the mathematical modelling of real-world problems such as epidemic disease transmission. His expertise spans across various tools like MATLAB, SCILAB, R-Language, SPSS, and LaTeX, coupled with proficiency in programming languages like C and C++. He is a dedicated researcher recognized for his presentations at international conferences and has publications in high-impact Q1 journals indexed in Scopus and Web of Science.

Publication Profile

📘 Education Background

Mr. Manikandan completed his B.Sc. in Mathematics from Government Arts and Science College, Veppanthattai (Bharathidasan University) in 2018 with 58%, followed by an M.Sc. in Mathematics at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, graduating with a CGPA of 8.2 in 2022. He is presently pursuing his Ph.D. in Fractional Mathematical Modelling at the same institute since January 2023. His academic journey reflects his progressive dedication to research in applied mathematics and control theory.

💼 Professional Experience

While currently focused on doctoral research, Mr. Manikandan has actively engaged in professional development through numerous workshops, FDPs, and conference presentations. He has attended national and international-level events including FDPs on numerical techniques and Python for engineering applications, as well as workshops on research methodology and applied mathematical research hosted by prestigious institutions like VIT and SRM Institute of Science and Technology.

🏅 Awards and Honors

Mr. Manikandan is a Life Member of the International Association of Engineers (IAENG) and was honored with the Best Paper Presentation Award for his paper on Zika virus control using fractional-order models at the 7th International Conference on Mathematical Modelling, Applied Analysis, and Computation (ICMMAAC-24). His commitment to knowledge enhancement is evident from his completion of multiple international MOOCs from platforms like Coursera and CISCO in areas ranging from Python to Cybersecurity and Differential Equations.

🔬 Research Focus

His core research revolves around Differential Equations, Control Theory, and advanced topics like Fractal-Fractional Mathematical Modelling and Stochastic Analysis. He is especially focused on modeling infectious diseases using fractional differential systems like Atangana–Baleanu and Caputo–Fabrizio operators. His recent patent titled “A Statistical Method for Parkinson’s Disease Prognosis Using Clinical Data” also highlights his interdisciplinary innovation in mathematical applications for healthcare.

✅ Conclusion

Mr. Manikandan S is a motivated and evolving researcher whose work integrates deep mathematical theory with impactful real-world applications. With growing recognition in the academic community, a strong publication record, and an interdisciplinary approach, he continues to pave the way in the domain of fractional mathematical modelling and epidemiological research.

📚 Top Publications 

Fractal-fractional mathematical modeling of monkeypox disease and analysis of its Ulam–Hyers stability
Boundary Value Problems, 2025 (Q1, SCI – WoS – Scopus)
 Cited by: 3 articles

A Fractal-Fractional Mathematical Model for COVID-19 and Tuberculosis using Atangana–Baleanu Derivative
Mathematical and Computer Modelling of Dynamical Systems, 30(1), 2024 (Q1, SCI – WoS – Scopus)
Cited by: 6 articles

Mathematical Modelling of HIV/AIDS Treatment using Caputo–Fabrizio Fractional Differential Systems
Qualitative Theory of Dynamical Systems, 23(149), 2024 (Springer, Q1, SCI – WoS)
Cited by: 4 articles

Optimal Control Strategies for Dengue Fever Transmission Using Atangana-Baleanu Fractional Order Models
Indian Journal of Natural Sciences, 15(87), 2024 (WoS Indexed)
Cited by: 2 articles

Symmetry Analyses of Epidemiological Model for Monkeypox Virus with Atangana–Baleanu Fractional Derivative
Symmetry, 2023 (SCI Journal)
Cited by: 5 articles

Karima BENALI | Mathematics | Best Researcher Award

Dr. Karima BENALI | Mathematics | Best Researcher Award

PHD Diploma, University of Sfax, Tunisia

👩‍🔬 Dr. Karima Benali, a dedicated academic, holds a Ph.D. in Fundamental Mathematics. With two years of teaching experience at the Institut Supérieur de Biotechnologie de Sfax, she is passionate about education and guiding her students to overcome challenges and achieve their full potential.

Profile

Scopus

 

Education

🎓 Dr. Benali has an extensive educational background, including specialized training in English communication, project engineering, Python programming, and SPSS software. She completed her Ph.D. in Fundamental Mathematics at the Faculty of Sciences of Sfax, where she also received various other training and certifications.

Experience

👩‍🏫 Dr. Benali has taught at the Faculty of Sciences of Sfax and the Institut Supérieur de Biotechnologie de Sfax. Her roles included supervising directed works for courses in Analysis, Algebra, Biostatistics, Probability, and Statistics across multiple undergraduate programs. She has a strong commitment to enhancing students’ academic experiences through interactive and engaging teaching methods.

Research Interests

🔬 Dr. Benali’s research interests lie in the fields of algebra, particularly Hom-Lie algebras and Bihom-Lie algebras. She has presented her research at numerous international conferences and has published several influential papers in these areas.

Awards

🏆 Dr. Benali has been recognized for her contributions to mathematics with multiple awards and certificates of participation in prestigious conferences, including the Tunisio-Japanese conference, the Algebra and Lie Theory conference in France, and the Euro-Maghreb conference.

Publications

“Bialgebras, the Yang-Baxter equation and Manin triples for mock-Lie algebras”
“Representations of simple Hom-Lie algebras”
“Bialgebras via Manin triples of compatible mock-Lie algebras”