Assistant Professor at Joseph Sarwuan Tarka University, Makurdi, Nigeria
Assoc. Prof. Dr. Paul Augustine Ejegwa is an esteemed mathematician at Joseph Sarwuan Tarka University, Nigeria, with a profound impact on the fields of fuzzy mathematics and computational intelligence. His academic journey reflects a commitment to research excellence and teaching innovation, evidenced by his remarkable achievements and contributions to mathematics education. Dr. Ejegwa’s research focuses on algebraic structures, fuzzy decision-making, and their applications, contributing significantly to advancing theoretical and practical aspects of mathematics.
Profile
ORCID
Education
Dr. Ejegwa’s academic foundation was laid at prestigious institutions in Nigeria. He earned his PhD in Mathematics from Ahmadu Bello University in 2018, where his dissertation explored the multigroup structure and its principles on multisets. This was preceded by a Master’s degree in Mathematics from the same university, during which he investigated intuitionistic fuzzy multisets and their medical applications. Dr. Ejegwa also holds a Postgraduate Diploma in Education and a Bachelor’s degree in Mathematics, demonstrating a solid academic background and commitment to the field.
Experience
With years of experience in academia, Dr. Ejegwa has taught a wide range of mathematics courses, including Foundations of Mathematics, Linear Algebra, and Differential Equations. His teaching methodology emphasizes critical thinking and practical application of mathematical concepts. In addition to his teaching responsibilities, Dr. Ejegwa has supervised numerous undergraduate and postgraduate students, fostering a new generation of mathematicians. His postdoctoral fellowship at Chongqing Three Gorges University in China further enriched his academic experience, allowing him to collaborate on innovative research projects.
Research Interests
Dr. Ejegwa’s research interests lie at the intersection of algebraic structures and fuzzy mathematics. He focuses on developing new mathematical models and decision-making frameworks using fuzzy logic. His work includes creating novel distance measures and correlation coefficients for fuzzy sets, which have applications in areas such as medical diagnostics and pattern classification. Dr. Ejegwa’s research contributes to the broader understanding of fuzzy systems and their practical applications in real-world problems.
Awards
Dr. Ejegwa’s research excellence has been recognized through multiple awards. Notably, he has been ranked among the top 2% of global scientists from 2022 to 2024 according to Stanford University Surveys, based on Scopus data. He was also named the best researcher at Joseph Sarwuan Tarka University from 2022 to 2024, highlighting his significant contributions to research and academia. His accolades reflect not only his individual achievements but also his commitment to advancing mathematical research in Nigeria and beyond.
Publications
Dr. Ejegwa has an impressive publication record, with numerous articles in reputable journals, showcasing his contributions to mathematics. Some notable publications include:
Ejegwa, P. A., Anum, M. T., Kausar, N., Nwokoro, C. O., Aydin, N., & Yu, H. (2024). New Fermatean fuzzy distance metric and its utilization in the assessment of security crises using the MCDM technique, Mathematics, 12, 3214. DOI: 10.3390/math12203214.
Ejegwa, P. A., Onyeke, I. C., & Adah, V. (2024). Recognition principle for course allocations in higher institution based on intuitionistic fuzzy correlation coefficient, Journal of Fuzzy Extension and Applications. DOI: 10.22105/jfea.2024.448400.1411.
Zuakwagh, D., Ejegwa, P. A., & Akwu, A. D. (2024). Fermatean fuzzy sets in multiset framework with application in diagnostic process based on composite relations. In K. Kumar, R. Arora, & G. Kaur (Eds.), Strategic Fuzzy Extensions and Decision-making Techniques (pp. 195–210). CRC Press. DOI: 10.1201/9781003497219-13.
Ejegwa, P. A., Kausar, N., Agba, J. A., Ugwuh, F., Ozbilge, E., & Ozbilge, E. (2024). Determination of medical emergencies via new intuitionistic fuzzy correlation measures based on Spearman’s correlation coefficient, AIMS Mathematics, 9(6), 15639—15670. DOI: 10.3934/math.2024755.
Anum, M. T., Zhang, H., Ejegwa, P. A., & Feng, Y. (2024). Tendency coefficient-based weighted distance measure for intuitionistic fuzzy sets with applications. In Proceedings of the 12th International Conference on Intelligent Control and Information Processing (ICICIP 2024) (pp. 54–61). DOI: 10.1109/ICICIP60808.2024.10477789.
Ejegwa, P. A., Anum, M. T., & Isife, K. I. (2024). A new method of distance measure between intuitionistic fuzzy sets and its application in admission procedure, Journal of Uncertain Systems, 17(2), 2440005. DOI: 10.1142/S1752890924400051.
Conclusion
Assoc. Prof. Dr. Paul Augustine Ejegwa stands out as a distinguished scholar whose contributions to mathematics education and research have earned him recognition on both national and international platforms. His commitment to excellence in teaching and research continues to inspire students and colleagues alike. With a strong foundation in fuzzy mathematics and computational intelligence, Dr. Ejegwa is poised to make further significant contributions to the field and drive innovations in mathematical applications for real-world challenges. His numerous awards and an extensive publication record underscore his role as a leader in mathematics education and research, making him a deserving candidate for any prestigious award nomination.