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.