Bright Asare | Mathematics | Innovative Research Award

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Innovative Research Award

Bright Asare
University of Skills Training and Entrepreneurial Development (USTED), Ghana

Bright Asare
Affiliation University of Skills Training and Entrepreneurial Development (USTED)
Country Ghana
Scopus ID 57952417300
Documents 26
Citations 125
h-index 7
Subject Area Mathematics Education
Event Top Teachers Awards
ORCID 0000-0001-8855-7687
Google Scholar e-o1KroAAAAJ

The Innovative Research Award article documents the academic profile, scholarly output, research influence, and professional contributions of Bright Asare, a Ghanaian mathematics education researcher whose work focuses on mathematics interest, self-efficacy, educational technology, classroom management, mathematical thinking, and student achievement. His research portfolio reflects interdisciplinary engagement across mathematics education, educational psychology, technology-enhanced learning, and quantitative educational research.[1][2]

Abstract

Bright Asare is an emerging scholar in mathematics education whose research investigates the relationships among student interest, self-efficacy, technology integration, classroom practices, and mathematics achievement. His publications employ systematic reviews, meta-analyses, structural equation modeling, and empirical educational research to advance understanding of effective mathematics teaching and learning. His scholarly visibility is reflected through indexed publications, citation activity, peer-review service, and international research collaborations.[1][3]

Keywords

Mathematics Education, Educational Research, Self-Efficacy, Mathematics Interest, Educational Technology, ChatGPT, Classroom Management, Student Achievement, History of Mathematics, Data Analysis, Teaching Quality, Higher Education.

Introduction

Bright Asare earned a Bachelor of Science in Mathematics Education from the University of Education, Winneba and later completed an MPhil in Mathematics Education at AAMUSTED. His doctoral studies continue in Mathematics Education, with research interests spanning mathematical modelling, educational technology, effective pedagogy, learning sciences, and quantitative educational assessment. His work frequently examines factors influencing mathematics performance among learners across different educational settings.[3][5]

Research Profile

Asare’s academic profile combines teaching, research assistance, statistical consulting, publication development, and peer-review activities. He has worked extensively with SPSS, AMOS, R, Jamovi, Python, and educational data analysis tools. His research experience includes investigations into history of mathematics interventions, self-efficacy development, student motivation, educational technology adoption, and mathematical achievement outcomes.[1]

  • Research Assistant in Mathematics Education projects.
  • Reviewer of 43 academic research papers.
  • Teaching Assistant for mathematics and statistics courses.
  • Contributor to educational technology and AI research.

Research Contributions

The researcher has contributed to the growing literature on mathematics interest, self-efficacy, history of mathematics, educational technology integration, and artificial intelligence in education. Several studies have explored how motivational and psychological constructs influence mathematics performance, while others have evaluated classroom management, teacher quality, and technology-supported learning environments.[3][4][6]

Publications

Bright Asare’s publication record includes journal articles, systematic reviews, meta-analyses, and collaborative international studies. Major publication themes include mathematics achievement, educational technology, self-efficacy, student interest, ChatGPT in education, and history of mathematics interventions. His work has appeared in journals such as Journal of Applied Research in Higher Education, Cogent Education, Pedagogical Research, Research in Mathematics, and Frontiers in Education.[3][4]

  • Exploring the Impact of ChatGPT on Mathematics Performance: The Influential Role of Student Interest.
  • The Effect of Using Technology in Teaching and Learning Mathematics on Student Performance.
  • Epistemological Belief, Reflective Thinking, and Mathematics Interest as Predictors of Mathematics Performance.
  • Meta-Analyses and Systematic Reviews on Self-Efficacy and Mathematics Achievement.
  • Studies on History of Mathematics and Student Interest Development.

Research Impact

According to the provided scholarly metrics, the researcher has accumulated 125 Scopus citations across 26 indexed documents with an h-index of 7 and Scholarly influence is reflected by 604 Google Scholar citations, 57 indexed documents, and an h-index of 13. Google Scholar records indicate broader citation visibility, demonstrating growing international engagement with his research outputs. The cited works address contemporary educational challenges, including AI-supported learning, mathematics motivation, and evidence-based teaching strategies.[1][2]

Award Suitability

The profile demonstrates characteristics commonly associated with academic recognition, including sustained publication activity, interdisciplinary collaboration, educational innovation, peer-review contributions, research mentorship, and measurable citation impact. The combination of scholarly productivity, educational engagement, and ongoing doctoral research supports consideration for recognition within the context of the Top Teachers Awards and related academic distinction programs.[7]

Conclusion

Bright Asare’s academic record reflects active participation in mathematics education research, scholarly publishing, educational technology studies, and quantitative educational analysis. His work contributes to evidence-based understanding of factors influencing mathematics learning and achievement, while his research trajectory indicates continued engagement with innovative educational inquiry and international scholarly collaboration.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Bright Asare, Author ID 57952417300. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57952417300
  2. Google Scholar. (n.d.). Bright Asare Citation Profile. https://scholar.google.com/citations?user=e-o1KroAAAAJ&hl=en
  3. Asare, B., Arthur, Y. D., & Boateng, F. O. (2023). Exploring the impact of ChatGPT on mathematics performance: The influential role of student interest. DOI: https://doi.org/10.56578/esm010304
  4. Bright, A., Welcome, N. B., & Arthur, Y. D. (2024). The effect of using technology in teaching and learning mathematics on student’s mathematics performance. DOI: https://doi.org/10.29333/mathsciteacher/14309
  5. Arthur, Y. D., Vittori, T. De, Welcome, N. B., Dogbe, C. S. K., & Asare, B. (2024). Enhancing TVET students’ interest in mathematics through the history of mathematics and self-efficacy. DOI: https://doi.org/10.1108/JARHE-05-2024-0238
  6. Asare, B. (2025). Epistemological belief, reflective thinking, and mathematics interest as a predictor of students’ mathematics performance. DOI: https://doi.org/10.1080/2331186X.2025.2542437
  7. Top Teachers Awards. (n.d.). Official Award Website. https://topteachers.net/
  8. Arthur, Y. D., Appiah, S. K., Amo-Asante, K., & Asare, B. (2022). Modeling student’s interest in mathematics: Role of history of mathematics, peer-assisted learning, and student’s perception. https://eric.ed.gov/?id=EJ1359356

Thamer Manshi | Mathematics | Research Excellence Award

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Assist. Prof. Dr. Thamer Manshi | Mathematics
| Research Excellence Award

King Saud University | Saudi Arabia

Assist. Prof. Dr. Thamer Manshi research activity focuses on advanced statistical theory and applied modeling, with emphasis on reliability distributions, dependent competing risks data, and complex censoring schemes. The work advances statistical inference under progressively hybrid censoring and bivariate dependence to improve model flexibility and estimation accuracy. Key contributions include the development of new bivariate distributions with applications in reliability engineering, biomedical analysis, and risk assessment. Methodological approaches integrate likelihood-based inference, distributional theory, and simulation studies supported by R and SPSS. Research outputs include 2 peer-reviewed documents published in international journals. These works have received 2 citations from 2 documents, reflecting emerging scholarly impact. The current h-index is 1 (h-index view disabled in preview mode).

Citation Metrics (Scopus)

3

2

1

0

Citations
2
Documents
2

h-index
1

🟦 Citations    🟥 Documents    🟩 h-index


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Sanat Kumar Mahato | Mathematics | Best Researcher Award

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Prof. Sanat Kumar Mahato | Mathematics | Outstanding Scientist Award

Professor at Sidho-Kanho-Birsha University , India

Prof. (Dr.) Sanat Kumar Mahato is a distinguished academician and researcher specializing in reliability optimization and fuzzy environments. With a solid academic background and significant teaching and research experience, Prof. Mahato has made notable contributions to his field. His work is characterized by a focus on reliability-redundancy optimization in fuzzy and interval environments, as evidenced by his numerous publications and research projects.

professional profileđź“–

Google Scholar

ORCID

Scopus Profile

Education 🎓

Prof. (Dr.) Sanat Kumar Mahato has a robust academic background that underpins his distinguished career in mathematics and operations research. He completed his Madhyamik (Secondary) education from the West Bengal Board of Secondary Education (WBBSE) in 1997, achieving a commendable 76.88% in a range of subjects including Bengali, English, Mathematics, and Science. His Higher Secondary education followed from the West Bengal Council of Higher Secondary Education (WBCHSE) in 1999, where he secured 77.90% in subjects such as Physics, Chemistry, and Biology, further solidifying his foundation in science and mathematics. Prof. Mahato pursued his undergraduate studies in Mathematics Honours at J.K. College, affiliated with Burdwan University, graduating in 2002 with a first-class degree and a 68.00% score. He continued his academic journey with a Master’s degree in Applied Mathematics from Burdwan University in 2004, specializing in Operations Research and Fluid Mechanics, and earned a first-class with a score of 67.90%. His academic pursuits culminated with a Doctorate from Burdwan University in 2014, where his thesis titled “Studies on Reliability-Redundancy Optimization in Fuzzy and Interval Environments” showcased his focus on advanced topics in reliability optimization. This comprehensive educational foundation has equipped Prof. Mahato with the knowledge and skills necessary to make significant contributions to his field and excel in his academic and research endeavors.

work Experienceđź’Ľ

Prof. (Dr.) Sanat Kumar Mahato has amassed a distinguished career in academia, demonstrating a blend of teaching, research, and administrative excellence. His professional journey began as an Assistant Professor at Darjeeling Government College in June 2006. During his tenure there, which lasted until September 2009, he laid a strong foundation in his academic career, engaging in teaching and early research initiatives. In September 2009, Prof. Mahato transitioned to Durgapur Government College, where he continued to build his academic profile until June 2015. His contributions during this period included teaching advanced mathematics and research supervision, further establishing his expertise in his field. Following his time at Durgapur Government College, Prof. Mahato took on a new role at Mejia Government College in June 2015. His tenure there, which lasted until March 2016, was marked by his continued dedication to teaching and his active participation in departmental activities. In March 2016, Prof. Mahato joined Sidho-Kanho-Birsha University in Purulia as an Associate Professor. His work at the university has been notable for its emphasis on research and leadership. He was promoted to Professor in February 2019, a testament to his significant contributions to the academic community. At Sidho-Kanho-Birsha University, Prof. Mahato has served as the Head of the Department of Mathematics, Head-in-Charge of the Department of Computer Science, and Head-in-Charge of the Department of Kudmali. These roles highlight his leadership and administrative capabilities, as he has played a crucial role in shaping the academic and research environment at the university.

Research Focus🔎

Prof. (Dr.) Sanat Kumar Mahato’s research focuses on the advanced study of reliability optimization within fuzzy and interval environments. His work predominantly explores how to optimize reliability-redundancy systems under uncertain conditions, employing fuzzy logic and interval arithmetic to address real-world problems where precise data is often unavailable. His research aims to develop and refine mathematical models and algorithms that can handle imprecise information effectively, offering robust solutions for reliability issues in complex systems.

Prof. Mahato’s key contributions include his studies on reliability optimization with fuzzy and interval uncertainties, which are pivotal in understanding and improving system reliability in various fields. His work addresses the challenge of integrating fuzzy logic with optimization techniques to model and solve problems where system components’ reliability cannot be precisely quantified. By developing novel algorithms and methodologies, he has significantly advanced the field of operations research and contributed valuable insights into the optimization of complex systems.

Awards and honors🏆

Prof. (Dr.) Sanat Kumar Mahato, a distinguished academic in the field of mathematics, has made significant contributions through his research on reliability optimization in fuzzy and interval environments. Despite his extensive achievements and impactful research, Prof. Mahato has not yet received formal awards or honors at either national or international levels. His work is highly regarded within the academic community, as evidenced by his numerous publications and his role as a professor and head of multiple departments at Sidho-Kanho-Birsha University. Prof. Mahato’s notable contributions to the field of reliability optimization and his leadership in academia underscore his exceptional commitment to advancing knowledge and education. While formal awards and honors have not yet been bestowed upon him, his ongoing research, mentorship, and academic leadership are highly commendable and contribute significantly to his field.

Conclusionâś…

Prof. (Dr.) Sanat Kumar Mahato is a highly qualified candidate for the Research for Outstanding Scientist Award due to his extensive research contributions, leadership in academia, and dedication to mentoring the next generation of researchers. His work in reliability optimization in fuzzy and interval environments demonstrates his expertise and commitment to advancing his field. Addressing the areas for improvement, such as enhancing international recognition and pursuing practical applications of his research, could further strengthen his candidacy. Overall, Prof. Mahato’s achievements and ongoing contributions make him a deserving nominee for this prestigious award.

đź“šPublications to Noted

Interval-arithmetic-oriented interval computing technique for global optimization

Authors: SK Mahato, AK Bhunia

Journal: Applied Mathematics Research Express

Year: 2006

Citations: 66

Volume/Issue: 2006, 69642

Applications of new hybrid algorithm based on advanced cuckoo search and adaptive Gaussian quantum behaved particle swarm optimization in solving ordinary differential equations

Authors: N Kumar, AA Shaikh, SK Mahato, AK Bhunia

Journal: Expert Systems with Applications

Year: 2021

Citations: 56

Volume/Issue: 172, 114646

Interval oriented multi-section techniques for global optimization

Authors: S Karmakar, SK Mahato, AK Bhunia

Journal: Journal of Computational and Applied Mathematics

Year: 2009

Citations: 44

Volume/Issue: 224 (2), 476-491

A new QPSO based hybrid algorithm for constrained optimization problems via tournamenting process

Authors: N Kumar, SK Mahato, AK Bhunia

Journal: Soft Computing

Year: 2020

Citations: 39

Volume/Issue: 24 (15), 11365-11379

A deteriorating inventory model with displayed stock-level-dependent demand and partially backlogged shortages with all unit discount facilities via particle swarm optimisation

Authors: AK Bhunia, SK Mahato, AA Shaikh, CK Jaggi

Journal: International Journal of Systems Science: Operations & Logistics

Year: 2014

Citations: 36

Volume/Issue: 1 (3), 164-180

Divergent channel flow of Casson fluid and heat transfer with suction/blowing and viscous dissipation: existence of boundary layer

Authors: A Banerjee, SK Mahato, K Bhattacharyya, AJ Chamkha

Journal: Partial Differential Equations in Applied Mathematics

Year: 2021

Citations: 28

Volume: 4, 100172

Reliability-redundancy optimization problem with interval valued reliabilities of components via genetic algorithm

Authors: SK Mahato, L Sahoo, AK Bhunia

Journal: J Inf Comput Sci

Year: 2012

Citations: 26

Volume/Issue: 7 (4), 284-295

An EPQ model with time proportion deterioration and ramp type demand under different payment schemes with fuzzy uncertainties

Authors: P Supakar, SK Mahato

Journal: International Journal of Systems Science: Operations & Logistics

Year: 2022

Citations: 22

Volume/Issue: 9 (1), 96-110

Fuzzy reliability redundancy optimisation with signed distance method for defuzzification using genetic algorithm

Authors: SK Mahato, N Bhattacharyee, R Pramanik

Journal: International Journal of Operational Research

Year: 2020

Citations: 20

Volume/Issue: 37 (3), 307-323

Design of an efficient hybridized CS-PSO algorithm and its applications for solving constrained and bound constrained structural engineering design problems

Authors: N Kumar, SK Mahato, AK Bhunia

Journal: Results in Control and Optimization

Year: 2021

Citations: 18

Volume: 5, 100064