Raghavendran Prabakaran | Mathematics | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Raghavendran Prabakaran
Easwari Engineering College, India

Raghavendran Prabakaran
Affiliation Easwari Engineering College
Country India
Scopus ID 58670546100
Documents 56
Citations 325
h-index 11
Subject Area Mathematics
Event Global Innovation Technologist Awards
ORCID 0009-0001-7333-6555

Raghavendran Prabakaran is a mathematics researcher affiliated with Easwari Engineering College, India. The documented research profile comprises 56 Scopus-indexed documents, 325 citations and an h-index of 11. His recent publication activity connects mathematical analysis with fractional calculus, integral equations, machine learning, physics-informed neural networks and computational modeling. These themes illustrate an interdisciplinary research direction in which mathematical methods are applied to complex analytical and predictive problems.[1]

Abstract

The research profile represented by the available publication record centers on contemporary mathematical techniques for modeling, approximation and prediction. Recent work addresses random fractional functional Volterra–Fredholm integro-differential equations, physics-informed learning, mathematical transformations, complex systems and fractional drug-release models. The publications indicate an application-oriented research trajectory combining established mathematical frameworks with computational and machine-learning approaches.[2]

Keywords

Mathematics; fractional calculus; integro-differential equations; machine learning; physics-informed neural networks; computational modeling; mathematical transformations; predictive analysis.

Introduction

Mathematical research increasingly incorporates computational intelligence to address nonlinear, fractional and otherwise complex systems. In this context, hybrid methods can combine analytical formulations with data-driven approximation and prediction. The listed publications associated with Prabakaran’s research demonstrate this intersection through applications involving artificial neural networks, transformers, physics-informed methods and fractional differential models.[3]

Research Profile

The supplied bibliometric profile records 56 documents, 325 citations and an h-index of 11 in Scopus. These indicators provide quantitative measures of indexed publication output and citation activity, while the publication record provides additional context regarding subject breadth and methodological development.[1]

Research Contributions

  • Development and analysis of fractional and integro-differential mathematical models.
  • Application of machine-learning and neural-network methods to mathematical prediction and approximation.
  • Integration of physics-informed computational approaches with mathematical modeling.
  • Application of mathematical models to interdisciplinary problems, including nanomaterials and drug-release systems.

Publications

Recent publications include studies on nanomaterial selection and PINN-based prediction, random fractional functional Volterra–Fredholm integro-differential equations with ANN approximation, physics-informed transformer frameworks for EEG forecasting, Upadhyaya transforms with machine learning, and fractional integro-differential equations for paracetamol drug-release modeling.[4][5]

Research Impact

The reported citation count and h-index provide measurable evidence of scholarly visibility within the indexed record. The recent publications further show a research program extending mathematical techniques toward computational prediction and interdisciplinary applications. Such evidence should be interpreted alongside publication quality, authorship contribution, journal characteristics and independent citation context when evaluating research impact.

Award Suitability

For the Innovative Research Award category, the documented profile provides evidence relevant to consideration, particularly through its combination of mathematical research, computational methods and interdisciplinary applications. The available bibliometric indicators and recent publications can form part of an evidence-based recognition assessment within the Global Innovation Technologist Awards framework.[1]

Conclusion

Raghavendran Prabakaran’s documented research profile combines mathematical analysis with emerging computational approaches. The available Scopus indicators and recent publications demonstrate sustained scholarly activity across fractional mathematics, integro-differential equations, machine learning and interdisciplinary modeling. These records provide a structured basis for academic recognition and further evaluation of research contributions.

References

  1. Elsevier. (n.d.). Scopus author details: Raghavendran Prabakaran, Author ID 58670546100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58670546100
  2. MDPI. (2026). Analysis of Random Fractional Functional Volterra–Fredholm Integro-Differential Equations with Infinite Delay and ANN-Based Approximation. Fractal and Fractional.
    DOI: 10.3390/fractalfract10090646
  3. International Journal of Neuroscience and Neuroinformatics. (2026). A Physics-Informed Transformer Framework With a Four-Compartment NRSF Brain-State Model for EEG Forecasting.
    DOI: 10.4018/IJNN.419364
  4. Next Materials. (2026). Application of nanomaterial selection and PINN-based prediction using neutrosophic over soft complex locally closed sets and locally continuous functions.
    DOI: 10.1016/j.nxmate.2026.103274
  5. Transactions on Computational Modeling and Intelligent Systems. (2026). Application of Upadhyaya transforms with machine learning for predictive and analytical solutions in complex systems.
    DOI: 10.65112/tcmis.10023
  6. Oriental Journal Of Chemistry. (2026). Application of Fractional Integro-Differential Equations in Paracetamol Drug Release Modeling.
    DOI: 10.13005/ojc/420208

Piriyalucksan Paramesvarampillai | Mathematics | Innovative Research Award

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Innovative Research Award

Piriyalucksan Paramesvarampillai
University of Jaffna, Sri Lanka

Piriyalucksan Paramesvarampillai
Affiliation University of Jaffna
Country Sri Lanka
Scopus ID 60753559000
Documents 2
Citations 1
h-index 1
Subject Area Mathematics
Event Global Innovation Technologist Awards

Piriyalucksan Paramesvarampillai is a mathematics researcher affiliated with the University of Jaffna, Sri Lanka. The research profile is associated with studies in complex analysis and computational approaches to harmonic-measure distribution and related h-functions in planar regions. The available publication record includes work on doubly connected, simply connected, and unbounded planar domains, combining theoretical analysis with computational validation methods.[1][2]

Abstract

This article presents an academic recognition profile for Piriyalucksan Paramesvarampillai in connection with the Innovative Research Award of the Global Innovation Technologist Awards. The profile highlights research concerning harmonic-measure distribution functions and the development and study of new h-functions for planar regions. The work demonstrates an interest in linking mathematical theory with computational techniques and comparative validation procedures.[1][2]

Keywords

Complex analysis; harmonic measure; planar regions; doubly connected domains; simply connected regions; unbounded domains; h-functions; computational mathematics.

Introduction

The study of planar regions and associated analytic functions remains an important area within mathematical analysis. Research on harmonic-measure distributions and related function classes can contribute to the understanding of boundary behavior, geometric properties, and computational representations of complex domains. The researcher’s published and accepted works address these themes through focused investigations of selected planar configurations.[1][3]

Research Profile

Paramesvarampillai’s research profile is situated within Mathematics, with particular attention to planar domains and function-theoretic methods. The available scholarly record indicates collaboration with A. Mahenthiram on problems involving harmonic-measure distribution functions and new h-functions. These studies examine domains with different connectivity and boundedness properties while incorporating computational or validation-oriented approaches.[1][2]

Research Contributions

  • Computational investigation of harmonic-measure distribution functions for selected planar doubly connected regions.[1]
  • Development and validation of new h-functions for several unbounded planar regions using different mathematical and computational methods.[2]
  • Study of special features of new h-functions associated with selected simply connected planar regions.[3]

Publications

The documented publication portfolio includes research published in Annales Polonici Mathematici and the Journal of Ramanujan Mathematical Society, together with an accepted work for Acta Mathematica Vietnamica. The publications collectively address computational and theoretical features of harmonic-measure distributions and h-functions across several classes of planar regions.[1][2][3]

Research Impact

According to the supplied profile information, the researcher has 2 indexed documents, 1 citation, and an h-index of 1. These indicators represent an early measurable research record and should be interpreted alongside publication quality, methodological contribution, and the continuing development of the researcher’s scholarly work.[4]

Award Suitability

The Innovative Research Award is relevant to scholarly profiles demonstrating focused research activity, methodological development, and contributions to specialized areas of knowledge. The present profile is associated with mathematical investigations that combine analytical concepts with computational validation, providing a basis for consideration within an academic recognition framework.[5]

Conclusion

Piriyalucksan Paramesvarampillai’s research profile reflects developing scholarly activity in Mathematics, particularly in the analysis of harmonic-measure distributions and h-functions on planar regions. The documented works demonstrate continuity across doubly connected, unbounded, and simply connected domains and provide the academic context for recognition under the Innovative Research Award.[1][3]

References

  1. Mahenthiram, A., & Piriyalucksan, P. (2025). Computing harmonic-measure distribution functions of some planar doubly connected regions. Annales Polonici Mathematici, 134(2), 187–206. DOI: 10.4064/ap240724-12-4.
    https://doi.org/10.4064/ap240724-12-4
  2. Mahenthiram, A., & Piriyalucksan, P. (2026). Computing new h-functions of several unbounded planar regions and validating the h-functions via different methods. Journal of Ramanujan Mathematical Society, 41(2), 125–142.
  3. Mahenthiram, A., & Piriyalucksan, P. (Accepted). Study on special features of new h-functions of some simply connected planar regions. Acta Mathematica Vietnamica.
  4. Elsevier. (n.d.). Scopus author details: Piriyalucksan Paramesvarampillai, Author ID 60753559000. Scopus.
    https://www.scopus.com/pages/authors/60753559000
  5. Global Innovation Technologist Awards. (n.d.). Innovative Research Award and academic recognition information.
    innovationtechnologist.com

Lateef Ahmad Wani | Mathematics | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Lateef Ahmad Wani
Affiliation King Faisal University
Country Saudi Arabia
Scopus ID 57216880443
Documents 13
Citations 183 Citations by 135 Documents
h-index 6
Subject Area Mathematics
Event Global Innovation Technologist Awards
ORCID 0000-0002-2143-6095

Lateef Ahmad Wani
King Faisal University, Saudi Arabia

The Innovative Research Award profile recognizes the scholarly contributions of Lateef Ahmad Wani, a researcher affiliated with King Faisal University in Saudi Arabia. His academic activities are associated with the field of Mathematics, with a documented publication record indexed in international scholarly databases. The profile highlights research productivity, citation influence, academic visibility, and suitability for recognition through innovation-focused academic award programs.[1][2]

Abstract

This academic recognition profile summarizes the research achievements, publication activity, and scholarly influence associated with Lateef Ahmad Wani. Based on indexed academic metrics, the researcher has established a measurable presence within the Mathematics discipline through peer-reviewed publications, citation accumulation, and participation in the international research community. These indicators provide a foundation for evaluating suitability for innovation-oriented academic distinctions and professional recognition programs.[1]

Keywords

Mathematics, Scholarly Research, Scientific Publications, Citation Analysis, Research Impact, Academic Recognition, Innovation Studies, Research Excellence, Scopus Metrics, Global Innovation Technologist Awards.

Introduction

Academic award evaluations frequently consider publication quality, citation performance, research visibility, and contribution to disciplinary advancement. The profile of Lateef Ahmad Wani reflects engagement with mathematical research and participation in scholarly communication through internationally indexed academic outputs. Quantitative indicators such as document count, citation volume, and h-index provide objective measures that assist evaluators in assessing research performance and influence.[1][3]

Research Profile

Lateef Ahmad Wani is affiliated with King Faisal University, a recognized institution supporting research and higher education activities. His documented scholarly record includes thirteen indexed publications and a citation count exceeding one hundred eighty citations, reflecting measurable engagement with the academic community. The recorded h-index of six indicates that multiple publications have achieved sustained scholarly attention through citation activity.[1][4]

Research Contributions

Research contributions associated with this profile demonstrate involvement in mathematical inquiry and analytical problem-solving. Scholarly work in mathematics often supports broader scientific and technological progress by providing theoretical frameworks, computational approaches, and quantitative methodologies applicable across multiple disciplines. The visibility of these contributions through citations suggests that published findings have been referenced by subsequent researchers and incorporated into ongoing academic discussions.[2][5]

Publications

The publication portfolio consists of peer-reviewed scholarly outputs indexed in major citation databases. These publications contribute to the dissemination of mathematical knowledge and support academic collaboration. Indexed publications serve as verifiable evidence of research activity and are commonly used during institutional evaluations, grant reviews, and academic award assessments.[1]

Research Impact

Research impact can be evaluated through citation indicators, scholarly engagement, and knowledge dissemination. The citation profile associated with this researcher indicates that published works have received attention from authors across numerous citing documents. Such metrics provide evidence of academic reach and contribute to the assessment of scientific influence within and beyond the immediate research domain.[1][3]

Award Suitability

The Innovative Research Award recognizes scholarly achievement, innovation potential, and contributions to knowledge advancement. Based on available bibliometric indicators, indexed publications, citation performance, and academic visibility, Lateef Ahmad Wani demonstrates characteristics commonly considered during evaluations for innovation-focused academic recognition programs. The combination of documented research output and measurable citation impact supports consideration within competitive award frameworks such as the Global Innovation Technologist Awards.[1]

Conclusion

This profile presents a structured overview of the academic record of Lateef Ahmad Wani, emphasizing measurable indicators of scholarly productivity and influence. The documented publication record, citation activity, and institutional affiliation collectively demonstrate sustained engagement in mathematical research. These attributes align with established criteria frequently applied in academic recognition and innovation award evaluations.[1][4]

References

  1. Elsevier. (n.d.). Scopus author details: Lateef Ahmad Wani, Author ID 57216880443. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57216880443
  2. ORCID. (n.d.). ORCID record for Lateef Ahmad Wani.
    https://orcid.org/0000-0002-2143-6095
  3. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output.
  4. King Faisal University. (n.d.). Research and academic development resources.
    https://www.kfu.edu.sa
  5. Mathematical research methodologies and scholarly communication literature.

Rawane Mansour | Mathematics | Research Excellence Award

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Ms. Rawane Mansour | Mathematics | Research Excellence Award

PHD Student | University of Perpignan – Domitian | France

Ms. Rawane Mansour is a PhD researcher in applied mathematics and computational mechanics, focusing on the mathematical and numerical modeling of contact, adhesion, and friction under large deformations. Her work addresses nonlinear solid mechanics problems involving plasticity, hyperelastic and viscoelastic materials, with applications to biomedical stent–artery interactions. She integrates rigorous variational and energy-consistent formulations with advanced numerical techniques, including finite element methods and semi-smooth Newton–type solvers. Her research has led to multiple peer-reviewed journal publications, reflecting strong contributions to theoretical analysis, numerical discretization, and computational simulation in modern mechanics.

View Orcid Profile

Featured Publications

Jihad Souissi | Orthogonal Polynomials | Young Scientist Award

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Prof. Jihad Souissi | Orthogonal Polynomials | Young Scientist Award

Faculty of Sciences at Gabes | Tunisia

Prof. Jihad Souissi is a mathematician specializing in orthogonal polynomials, semi-classical structures, and operator-based characterizations, with particular expertise in Dunkl and q-Dunkl operators. His research advances the analytic and algebraic understanding of classical, semi-classical, and q-orthogonal polynomial families through raising and lowering operators, structure relations, differential and difference equations, and operator transformations. He has authored numerous peer-reviewed publications across high-ranking journals, contributing new theoretical frameworks for polynomial characterization, zero-centroid analysis, Appell and q-Appell structures, coherent pairs, and connections between major orthogonal polynomial sequences such as Laguerre, Jacobi, Hermite, and ultraspherical polynomials. His work also explores applications of operator methods to problems in mathematical physics, including boundary-flux control and Stefan-type free boundary problems. In addition to published research, he has produced several preprints expanding semi-classical theory and Dunkl-based formulations. He has presented his findings at international mathematical conferences and seminars and co-edited a scholarly book on orthogonal polynomials and Dunkl operators. Prof. Souissi also serves as a reviewer for multiple international journals, reflecting his active engagement in the global mathematical research community.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Souissi, J. (2025). New findings on zero centroids in semi-classical orthogonal polynomials of class one. Annali dell’Universita di Ferrara. Advance online publication.

Alanezy, K. A., & Souissi, J. (2025). Optimal boundary-flux control of a sharp moving interface in the classical two-phase Stefan problem. Axioms, 14(11), Article 840.

Souissi, J., Alaya, M., & Aloui, B. (2025).Ultraspherical polynomials and Hahn’s theorem with respect to a raising operator. Bulletin of the Belgian Mathematical Society – Simon Stevin.

Srivastava, H. M., Souissi, J., & Aloui, B. (2025). Structure relation of the symmetric q-Dunkl-classical orthogonal q-polynomials. Mathematical Methods in the Applied Sciences.

Alanezy, K. A., & Souissi, J. (2025). A Hahn-type characterization of generalized Hermite polynomials through a Dunkl-based raising operator. Mathematics, 13(21), Article 3371.

A Sreenivasulu | Mathematics | Best Researcher Award

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Dr. A Sreenivasulu | Mathematics | Best Researcher Award

Assistant Professor at Koneru Lakshmaiah Education Foundation | India

Dr. A. Sreenivasulu is an accomplished mathematician and researcher with extensive expertise in applied mathematics, specializing in dynamical systems on time scales. He earned his M.Sc. in Mathematics from Osmania University and completed his Ph.D. at Koneru Lakshmaiah Education Foundation, where his research focused on first-order matrix Sylvester and Volterra integro-dynamical systems on time scales. With a decade of teaching experience, Dr. Sreenivasulu has served as an Assistant Professor of Mathematics at several esteemed institutions, where he has taught a wide range of courses including engineering mathematics, numerical analysis, linear algebra, differential equations, probability and statistics, operations research, mathematical modeling, and computer-oriented statistical methods. His research contributions are significant, with publications in high-impact international journals such as Advances in Difference Equations, Journal of Applied Mathematics and Computation, European Journal of Pure and Applied Mathematics, and the Journal of Control and Decision. His work focuses on the stability, controllability, and periodic behavior of integro-dynamical matrix systems on time scales, as well as applications of neutrosophic fuzzy matrices in image processing. These contributions have garnered 27 citations across 12 documents, reflecting his growing influence in the field, and he currently holds an h-index of 4. Dr. Sreenivasulu has also demonstrated excellence in teaching and mentorship, consistently receiving positive feedback from students and achieving notable results in courses such as engineering mathematics, discrete mathematics, and linear algebra. He actively engages in departmental and institutional activities, including mentoring students, organizing seminars, workshops, technical events, and contributing to accreditation processes. He has earned multiple certifications through NPTEL, highlighting his commitment to continuous learning and professional development. His dedication to teaching, research, and academic leadership, combined with his ability to inspire students and peers, positions him as a distinguished contributor to mathematics education and research.

Profile: Scopus | Orcid

Featured Publications

  • Sreenivasulu, A., Appa Rao, B. V., Ravutla, D. P., & Prakash, G. B. (2025). Controllability for Volterra integro-dynamic Sylvester matrix systems with impulse on time scales. Communications on Applied Nonlinear Analysis, 32, Article 2410.

  • Harisha, C., Rao, B. V. Appa, & Sreenivasulu, A. (2025). Exponential stability of Volterra integro-dynamic Sylvester matrix system on time scales. European Journal of Pure and Applied Mathematics, 18(2), Article 6090.

  • Harisha, Ch., Rao, B. V. Appa, & Sreenivasulu, A. (2025). Periodic and pseudo periodic solutions for matrix Sylvester dynamic system on measure chains. Missouri Journal of Mathematical Sciences, 2025, Article 3701031.

  • Reddy, K. V., Reddy, G. R., Rani, K. J., Sreenivasulu, A., & Prakash, G. B. (2025). Unstationary viscoelastic MHD flow of Walters-B liquid through a vertical porous plate with chemical reactions. East European Journal of Physics, 2, 44.

  • Harisha, C., Rao, B. V. Appa, & Sreenivasulu, A. (2025, June). Periodic solution for almost linear Volterra integro-dynamic matrix Sylvester system on measure chains. The Interdisciplinary Journal of Discontinuity, Nonlinearity, and Complexity, 2025(06), 001.