Aychew Wondyfraw | Mathematics | Best Academic Researcher Award

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Mr. Aychew Wondyfraw | Mathematics | Best Academic Researcher Award

Researcher at Haramaya University, Ethiopia

Aychew Wondyfraw Tesfaye is an Ethiopian academic and researcher, currently serving as a lecturer and researcher in the Department of Mathematics at Haramaya University, Ethiopia. With a strong academic background, including an MSc in Mathematical Modeling from Haramaya University, Aychew is deeply engaged in the study and application of mathematical modeling techniques, focusing on areas such as stochastic models, disease dynamics, and corruption transmission dynamics. His work has contributed significantly to the understanding of various complex systems through mathematical approaches.

Profile

Orcid

Education

Aychew’s educational journey began with a Bachelor of Science (BSc) in Mathematics from Haramaya University, which he completed between 2015 and 2017. His academic pursuit continued with a Master of Science (MSc) in Mathematical Modeling at Haramaya University, which he completed in 2021. He further expanded his knowledge with a Higher Diploma in Teaching Methodology in 2022. In addition to his formal education, Aychew has participated in various training programs to strengthen his expertise, including courses on cloud computing, MATLAB, data science, and statistical data management.

Experience

Since 2019, Aychew has been a lecturer and researcher in the Department of Mathematics at Haramaya University. His role involves teaching undergraduate and graduate courses, conducting research, and coordinating the university’s Freshman Program since 2022. He has developed a keen interest in mathematical modeling and its applications in real-world problems. His responsibilities also extend to mentoring students and leading academic workshops, further contributing to the growth of mathematical sciences at Haramaya University.

Research Interests

Aychew’s research interests are primarily centered around mathematical modeling, focusing on stochastic processes, disease dynamics, and corruption transmission. His work explores the application of mathematical models to understand the spread of diseases such as COVID-19 and cholera, as well as social phenomena like corruption. His research methodology often combines stochastic and deterministic models to analyze complex systems, contributing to fields such as public health, social sciences, and applied mathematics.

Awards

Throughout his academic career, Aychew has been recognized for his contributions to mathematical modeling and research. His participation in various training programs and conferences has allowed him to expand his knowledge and network within the mathematical community. Additionally, he has been involved in presenting his research at significant academic platforms, such as the Ethiopian Mathematics Professionals Association Annual Conference, where he showcased his work on disease dynamics and corruption modeling.

Publications

Aychew has published several important papers, with a focus on stochastic modeling and its applications in disease dynamics and social issues. His notable publications include:

Tesfaye, A.W., Tolasa, T.M., Cheri, E.H. & Mekonen, T.M., 2025. “Modeling, Analyzing, and Simulating the Dynamics of Racism Using a Stochastic Dynamical System.” Abstract and Applied Analysis, 2025(1), 2472412. Cited by: 20.

Tesfaye, A.W. & Alemneh, H.T., 2023. “Analysis of a Stochastic Model of Corruption Transmission Dynamics with Temporary Immunity.” Heliyon, 9(1). Cited by: 15.

Tesfaye, A.W. & Satana, T.S., 2021. “Stochastic Model of the Transmission Dynamics of COVID-19 Pandemic.” Advances in Difference Equations, 2021, pp.1-21. Cited by: 50.

Tilahun, G.T., Woldegerima, W.A. & Wondifraw, A., 2020. “Stochastic and Deterministic Mathematical Model of Cholera Disease Dynamics with Direct Transmission.” Advances in Difference Equations, 2020(1), pp.1-23. Cited by: 35.

Conclusion

Aychew Wondyfraw Tesfaye is an accomplished academic and researcher whose contributions to mathematical modeling are shaping the understanding of disease transmission and social dynamics in Ethiopia and beyond. His continuous involvement in education, research, and academic leadership at Haramaya University underscores his commitment to advancing the field of mathematics. Aychew’s work continues to inspire and drive innovation in mathematical modeling, offering valuable insights into real-world challenges.

Muhammad Qiyas | Mathematics | Best Researcher Award

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Assist. Prof. Dr. Muhammad Qiyas | Mathematics | Best Researcher Award

Assistant Professor at Riphah International University Faisalabad, Pakistan

Muhammad Qiyas is an accomplished academic and researcher in the field of mathematics, specializing in fuzzy decision-making, aggregation operators, and multi-criteria decision analysis. With a strong passion for problem-solving and knowledge dissemination, he has contributed significantly to academia through teaching, research, and publishing in high-impact journals. His career spans various educational institutions, where he has played a pivotal role in mentoring students, supervising research projects, and advancing mathematical research. His dedication to continuous learning and interdisciplinary collaboration has established him as a leading expert in his domain.

Profile

Scopus

Education

Muhammad Qiyas holds a Ph.D. in Mathematics from Abdul Wali Khan University Mardan, Pakistan, completed in 2020. His doctoral research focused on “Aggregation Operators on Linguistic Picture Fuzzy Sets and their Applications in Decision Making Problems,” showcasing his expertise in mathematical modeling and decision science. Prior to that, he obtained an MS in Mathematics from Mohi-Ud-Din Islamic University, Islamabad, Pakistan, where he explored the domain of Orthodox Γ-Semigroup. He completed his Bachelor’s in Mathematics from the University of Malakand, KP, Pakistan, with a project on “Rule of Prime Numbers in Cryptography,” demonstrating his early interest in computational mathematics.

Professional Experience

Muhammad Qiyas is currently serving as an Assistant Professor at Riphah International University Faisalabad Campus, Pakistan. In this role, he is responsible for delivering high-quality instruction in mathematics, supervising graduate research projects, and contributing to the university’s research output. Additionally, he holds a Research Fellow position at Universiti Sultan Zainal Abidin, Malaysia, where he collaborates on cutting-edge research in mathematical decision-making. His previous experience includes active participation in international conferences, editorial responsibilities in academic journals, and contributions to mathematical research communities worldwide.

Research Interests

Muhammad Qiyas specializes in fuzzy set theory, aggregation operators, decision-making models, and multi-criteria decision analysis. His research primarily focuses on developing novel mathematical techniques to enhance decision support systems. His work on picture fuzzy sets, spherical fuzzy aggregation, and hybrid decision-making models has significantly contributed to advancing computational intelligence and applied mathematics. He actively explores new approaches to uncertainty modeling and their applications in various real-world problems, including supply chain management, engineering decision-making, and artificial intelligence.

Awards and Recognitions

Muhammad Qiyas has been recognized for his contributions to mathematical research and education. His work has been cited in numerous high-impact journals, showcasing the influence of his research on the global academic community. He has also been invited as a speaker at prestigious mathematics conferences, demonstrating his expertise and thought leadership in fuzzy decision-making and aggregation operators. His scholarly achievements have earned him nominations for awards in academia and research excellence.

Publications

Zeng, S., Qiyas, M., Arif, M., & Mahmood, T. (2019). Extended version of linguistic picture fuzzy TOPSIS method and its applications in enterprise resource planning systems. Mathematical Problems in Engineering.

Qiyas, M., Abdullah, S., Ashraf, S., & Abdullah, L. (2019). Linguistic picture fuzzy Dombi aggregation operators and their application in multiple attribute group decision-making problems. Mathematics, 7(8), 764.

Khan, A.A., Ashraf, S., Abdullah, S., Qiyas, M., Luo, J., & Khan, S.U. (2019). Pythagorean fuzzy Dombi aggregation operators and their application in decision support systems. Symmetry, 11(3), 383.

Khan, A.A., Qiyas, M., Abdullah, S., Luo, J., & Bano, M. (2019). Analysis of robot selection based on 2-tuple picture fuzzy linguistic aggregation operators. Mathematics, 7(10), 1000.

Jin, H., Ashraf, S., Abdullah, S., Qiyas, M., Bano, M., & Zeng, S. (2019). Linguistic spherical fuzzy aggregation operators and their applications in multi-attribute decision-making problems. Mathematics, 7(5), 413.

Ashraf, S., Abdullah, S., Aslam, M., Qiyas, M., & Kutbi, M.A. (2019). Spherical fuzzy sets and its representation of spherical fuzzy t-norms and t-conorms. Journal of Intelligent & Fuzzy Systems, 36(6), 6089-6102.

Ashraf, S., Abdullah, S., Qiyas, M., & Khan, A. (2019). Picture fuzzy grey approach for decision problems with unknown weight information. Journal of Biostatistics and Biometric Applications, 4(1).

Conclusion

Muhammad Qiyas has made significant contributions to the field of mathematics through his research, teaching, and publications. His work in fuzzy set theory and decision-making models has provided valuable insights into complex mathematical and computational problems. With a strong academic background, extensive research experience, and a commitment to advancing mathematical sciences, he continues to influence the field through innovation and collaboration. His future endeavors will likely further enhance the application of mathematical methodologies in decision science and computational intelligence.