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/

 

Asif Usama | Mathematics | Innovative Research Award

Published on by Computer Scientists Awards

Innovative Research Award

Asif Usama
Government College University Faisalabad, Pakistan

Asif Usama
Affiliation Government College University Faisalabad
Country Pakistan
Scopus ID 57947937500
Documents 8
Citations 19
h-index 2
Subject Area Mathematics
Event Computer Scientists Awards
ORCID 0009-0008-0031-2545

Asif Usama is a mathematics researcher affiliated with Government College University Faisalabad, Pakistan. His documented research profile includes work in mathematical inequalities, fractional calculus, numerical analysis, and quadrature methods. The publication record supplied for this profile demonstrates recent research activity across specialist mathematical journals, with several contributions addressing inequalities and computational or fractional approaches. [1]

Abstract

The Innovative Research Award profile recognizes Asif Usama’s research activity in mathematics, particularly in mathematical inequalities, fractional analysis, and numerical methods. His recent publications examine classical inequalities through generalized and local fractional frameworks and investigate numerical approximations relevant to mathematical analysis. The supplied bibliographic record identifies five recent journal articles published between 2025 and 2026.

Keywords

Mathematics; fractional calculus; mathematical inequalities; numerical analysis; quadrature; fractal analysis; integral inequalities; computational mathematics.

Introduction

Research in modern mathematical analysis frequently connects theoretical inequalities with numerical computation and generalized calculus. Usama’s listed publications reflect this intersection, including studies of Weddle’s inequality, Maclaurin-type inequalities, Montgomery-Mercer identities, and fractal quadrature. These subjects provide mathematical tools for understanding approximation, error behavior, and integral relationships. [2]

Research Profile

The supplied Scopus indicators report 8 documents, 19 citations, and an h-index of 2. These metrics provide a quantitative snapshot of the research record but should be interpreted alongside publication quality, subject relevance, methodological contribution, and independent scholarly assessment. [1]

Research Contributions

  • Development and analysis of fractional and fractal formulations of established mathematical inequalities.
  • Investigation of numerical approximations and quadrature error in mathematical computation.
  • Application of integral identities and inequalities to problems in numerical analysis.

Publications

  • On Error Approximations of Fractal Lobatto–Legendre Quadrature Rule, Fractal and Fractional, 2026-08-13. [3]
  • Local Fractional Perspective on Weddle’s Inequality in Fractal Space, Fractal and Fractional, 2025.  [4]
  • Analysis of Maclaurin’s Inequality with Applications in Numerical Analysis, Journal of Mathematical Inequalities, 2025. [5]
  • New Montgomery-Mercer identity and associated integral inequalities with applications, Filomat, 2025.  [6]
  • Numerical and visual analysis of Maclaurin type inequalities in the setting of generalized fractional calculus and applications, Journal of Mathematics and Computer Science-JMCS, 2025.  [7]

Research Impact

The publication set indicates a coherent research direction spanning inequalities, generalized fractional calculus, fractal mathematical structures, and numerical approximation. The reported 19 citations and h-index of 2 provide measurable evidence of scholarly uptake within the indexed record. [1]

Award Suitability

The documented combination of recent peer-reviewed publications, mathematical methodology, and applications in numerical analysis provides a relevant basis for consideration for an Innovative Research Award. Final award decisions should additionally consider independent review, originality, contribution to the field, publication quality, and the applicable award criteria.

Conclusion

Asif Usama’s listed research demonstrates sustained engagement with contemporary mathematical analysis, particularly fractional inequalities and numerical methods. His recent publications establish a focused scholarly profile suitable for academic recognition while providing a documented foundation for further research and assessment.

References

  1. Elsevier. (n.d.). Scopus author details: Asif Usama, Author ID 57947937500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57947937500
  2. Asif Usama. Research publications concerning mathematical inequalities, fractional calculus, and numerical analysis.
  3. Fractal and Fractional. (2026). On Error Approximations of Fractal Lobatto–Legendre Quadrature Rule.
    https://doi.org/10.3390/fractalfract10080554
  4. Fractal and Fractional. (2025). Local Fractional Perspective on Weddle’s Inequality in Fractal Space.
    https://doi.org/10.3390/fractalfract9100662
  5. Journal of Mathematical Inequalities. (2025). Analysis of Maclaurin’s Inequality with Applications in Numerical Analysis.
    https://doi.org/10.7153/JMI-2025-19-86
  6. Filomat. (2025). New Montgomery-Mercer identity and associated integral inequalities with applications.
    https://doi.org/10.2298/FIL2514935A
  7. Journal of Mathematics and Computer Science-JMCS. (2025). Numerical and visual analysis of Maclaurin type inequalities in the setting of generalized fractional calculus and applications.
    https://doi.org/10.22436/JMCS.038.03.01

Mr. Muhammad Awais Raza | Mathematics | Research Excellence Award

Published on by Computer Scientists Awards

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

Baoquan Ning | Mathematics | Best Researcher Award

Published on by Computer Scientists Awards

Prof. Dr. Baoquan Ning | Mathematics | Best Researcher Award

Dean of the School of Mathematics and Statistics | Liupanshui Normal University | China

Prof. Dr. Baoquan Ning is a distinguished mathematician and academic leader, currently serving as Professor and Dean of the School of Mathematics and Statistics at Liupanshui Normal University, China. He has built a strong reputation in the field of uncertainty decision-making, multi-attribute group decision-making, and fuzzy systems. Over the years, he has authored more than seventy academic papers in influential international journals and holds numerous patents as a first inventor. His career reflects both academic excellence and leadership, combining innovative research, practical applications, and educational development within China and beyond.

Publication Profile

Scopus

ORCID

Education Background

Prof. Dr. Baoquan Ning completed his Bachelor of Science in Mathematics and Applied Mathematics at Harbin Normal University, laying a solid foundation in mathematical sciences. He pursued further specialization in Applied Mathematics with a Master of Science degree from Kunming University of Science and Technology, strengthening his focus on applied research. Later, he advanced to doctoral studies in Mathematics at Sichuan Normal University, where he deepened his expertise in complex system evaluation and fuzzy decision-making. His academic journey demonstrates a steady progression of knowledge, practical application, and scholarly growth that underpins his research and teaching career.

Professional Experience

Prof. Dr. Baoquan Ning has been a dedicated faculty member at Liupanshui Normal University since the beginning of his career, gradually advancing to his current role as Dean of the School of Mathematics and Statistics. His professional contributions extend to leading and participating in numerous research projects at national and provincial levels. He has supervised English-language publications and encouraged international academic collaborations. Alongside his academic duties, he has established himself as a prolific inventor with more than seventy patents authorized under his name. His career highlights a commitment to both research innovation and educational leadership.

Awards and Honors

Throughout his academic career, Prof. Dr. Baoquan Ning has received multiple honors for his contributions to education and research. He has been recognized as a high-level innovative talent in Guizhou Province and has been named an academic leader of Liupanshui Normal University. His service and leadership have earned him honors such as “Outstanding Teacher” and “Excellent Communist Party Member.” Beyond personal achievements, his leadership roles as Executive Director of the Guizhou Mathematical Society and Council Member of the Guizhou Applied Statistics Society reflect his significant standing in the academic community and regional development.

Research Focus

Prof. Dr. Baoquan Ning’s research interests focus on uncertain and fuzzy decision-making, multi-attribute group decision-making, complex system evaluation, and educational measurement. His work addresses both theoretical advancements and real-world applications, including platform selection, system analysis, and group decision-making models. By publishing in high-impact journals, he has contributed to the advancement of fuzzy set theory, intelligent algorithms, and applied decision-making systems. His patents and research projects highlight his ability to bridge theory with practical application, making his contributions highly valuable to mathematics, computer science, and cross-disciplinary fields in modern decision sciences.

Publications Top Notes

  • Multiple attribute group decision-making using p, q-quasirung orthopair fuzzy credibility sets: Application to data literacy evaluation of scientific researchers
    Published Year: 2025
    Citation: 1

  • Some Novel Correlation Coefficients of Probabilistic Dual Hesitant Fuzzy Sets and their Application to Multi-Attribute Decision-Making
    Published Year: 2024
    Citation: 4

  • Site Selection of Wind Farms Based on Novel Probabilistic Dual Hesitant Fuzzy ExpTODIM and LogTODIM Methods
    Published Year: 2024
    Citation: 1

  • Probabilistic dual hesitant fuzzy MAGDM method based on generalized extended power average operator and its application to online teaching platform supplier selection
    Published Year: 2023
    Citation: 14

  • The cross-border e-commerce platform selection based on the probabilistic dual hesitant fuzzy generalized dice similarity measures
    Published Year: 2023
    Citation: 3

Conclusion

Prof. Dr. Baoquan Ning stands as a prominent scholar whose work has significantly advanced research in uncertainty decision-making and fuzzy systems. His prolific publication record, active participation in funded projects, and leadership within professional societies emphasize his dual role as a researcher and academic leader. Through his innovations, patents, and international collaborations, he continues to influence both theoretical research and applied methodologies. His recognition as a high-level innovative talent underscores his importance not only to Liupanshui Normal University but also to the broader development of mathematics and applied decision sciences in China.