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Graph Theory and Discrete Mathematics

The study introduces graph theoretical planning and labelling techniques used in various applications such as data mining, image segmentation, clustering, image capturing, and social media networking. These techniques play a crucial role in enhancing the efficiency and accuracy of these processes. Our mission is to foster innovative research and teaching while producing high-quality publications. We emphasize collaboration with colleagues, communities, organizations, academic institutions, professionals, and citizens. Additionally, we prioritize skill development, education, and the pursuit of high-quality research to further advance our goals. Through these endeavors, we aim to contribute significantly to the field, promote knowledge sharing, and drive progress in both research and education.

Vision

  • The study presents some graph theoretical planning and labelling techniques which have been employed in the design of data mining, image segmentation, clustering, the image capturing, Social Media networking.

Mission

  • Mission to engage in innovative research and teaching, to provide high-quality publications with an emphasis to collaborate with colleagues, communities, organizations, academic institutions, professionals and citizens; skill development and education; and pursuing high-quality research.

Proposed initiative

  • High quality publications
  • Funded Project proposal submission
  • International and national collaboration 
  • PhD graduands

Keywords

  • Metric dimension
  • Labeling problems
  • Spectral graph theory
  • Geodesics
  • Chemical graph theory
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