Mr. Syed Shahzaib | Graph Theory | Best Researcher Award
Lecturer at The Islamia University of Bahawalpur | Pakistan
Mr. Syed Shahzaib is an emerging researcher and mathematics educator with expertise in discrete mathematics, particularly in graph theory, fuzzy graph theory, and the integration of machine learning techniques. He has extensive teaching experience, having served as a lecturer of mathematics at various academic institutions, including universities, colleges, and academies, where he has consistently demonstrated excellence in classroom management, subject delivery, and student mentoring. His professional journey reflects a strong dedication to advancing mathematical education and research while fostering a stimulating and disciplined learning environment for students. Shahzaib’s competencies span a wide range of mathematical domains, including modern algebra, calculus, numerical analysis, number theory, real and complex analysis, combinatorics, and operational research. Alongside these, he possesses strong computer skills in programming, office automation, and content development, enabling him to integrate digital tools into his research and teaching practices. With a clear focus on academic growth and scientific contribution, Shahzaib continues to develop his research portfolio and teaching expertise. He is committed to advancing the application of mathematics in solving contemporary problems while inspiring students to achieve their full potential in the subject. His scholarly impact is reflected in 9 citations by 9 documents, with 2 research documents contributing to his academic profile and an h-index of 1, marking the early but promising trajectory of his research career. His involvement in national and international mathematics competitions, along with recognition through certificates, shields, and medals, underscores his role in promoting mathematical knowledge and nurturing young talent.
Profiles : Scopus | ORCID | Google Scholar
Shahzaib, S., Salman, M., & Rehman, M. U. (2025). Degree-based fuzzy indices analysis of two snake graphs. Ain Shams Engineering Journal, 16, 103647.
Wei, C., Salman, M., Shahzaib, S., Rehman, M. U., & Fang, J. (2021). Classes of planar graphs with constant edge metric dimension. Complexity, 2021, Article 5599274.
Shahzaib, S., & Salman, M. (n.d.). Physical graph framework for fuzzified topological indices: A computational analysis of chain polygonal cactus via machine learning techniques. Soft Computing.
Shahzaib, S., Imtiaz, M., & Salman, M. (n.d.). M-polynomial-based topological modeling and machine learning prediction of silicate cage networks for molecular property analysis. Chemical Papers.
Shahzaib, S., & Salman, M. (n.d.). Machine learning analysis and computational study of fuzzy topological indices in wheel and Jahangir graphs. Applied Mathematics and Computing.