Vidyanandini Subramaniyan | Graph Labeling | Best Researcher Award

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Dr. Vidyanandini Subramaniyan | Graph Labeling | Best Researcher Award

Assistant Professor at SRM IST, Kattankulathur, India📖

Mrs. S. Vidyanandini is an experienced academician and researcher in the field of Mathematics, particularly in Graph Theory. She currently serves as an Assistant Professor at SRM Institute of Science and Technology (SRMIST), Chennai. With a rich teaching background and a passion for research, she has contributed significantly to the development of her field. Her research interests focus on graph labeling, distance in graphs, and various combinatorics applications in computer science, physical sciences, and social sciences.

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Education Background🎓

Mrs. Vidyanandini holds a Doctor of Philosophy (Ph.D.) in Mathematics from SRM Institute of Science and Technology, which she completed in 2019 with high commendation. She earned her Master of Philosophy (M.Phil.) in Mathematics from Avinashilingam Deemed University in 2006, graduating with first-class honors. Prior to that, she completed her M.Sc. in Mathematics and B.Sc. in Mathematics, both from Govt. Arts College, affiliated with Periyar University, in 2005 and 2003, respectively, where she also earned first-class distinctions.

Professional Experience🌱

Mrs. Vidyanandini’s career spans over a decade in academia. She began as a Lecturer at Paavai Engineering College in 2007, where she taught for two years. She then worked as a Project Assistant at IIT Madras in 2010 before joining SRMIST in 2010 as an Assistant Professor, where she continues to teach and guide students in the field of Mathematics. Additionally, she has been involved in numerous academic administrative roles such as Class In-charge, Admission Coordinator, NAAC Coordinator, and Academic and Administrative Audit Coordinator.

Research Interests🔬

Her primary research focus is in Graph Theory, especially topics such as Graph Labeling, Distance in Graphs, and Graph Coloring. These areas play a pivotal role in combinatorics, with applications in computer science, biological, physical, and social sciences. She has worked extensively on graceful trees, modular irregular labeling, and composite labeling techniques, contributing to both theoretical advancements and practical applications in network analysis.

Author Metrics

Mrs. Vidyanandini has co-authored several notable book chapters and conference papers. She is a contributor to the book “Cloud Computing for Geospatial Big Data Analytics” (Springer, 2019) and has authored multiple papers in IEEE Xplore conference proceedings. Her works on graph labeling, network analysis, and modular irregular labeling have been well-received in the academic community. She is also a reviewer for journals such as the Turkish Journal of Mathematics and Journal of Advances in Mathematics and Computer Science.

Awards and Recognition:

Mrs. Vidyanandini has been honored with several accolades throughout her career, including two gold coins for achieving a 100% result in 2009 at Paavai Engineering College. She received the “Emerging Scientist Award” from VD-Good Technology Factory in December 2020 and an Appreciation Award for Teaching and Research from SRMIST for the academic year 2021-2022. Furthermore, she was recognized by SRMIST in 2022 for her contributions to research and teaching.

Publications Top Notes 📄

1. An empirical study of supervised learning methods for breast cancer diseases

  • Authors: S. Sivakumar, S. R. Nayak, S. Vidyanandini, J. A. Kumar, G. Palai
  • Journal: Optik
  • Volume: 175
  • Pages: 105-114
  • Year: 2018
  • DOI: 10.1016/j.ijleo.2018.02.016
  • Summary: This paper presents an empirical study of various supervised learning algorithms to predict breast cancer, exploring the application of machine learning in healthcare.

2. Graceful labeling of a tree from caterpillars

  • Authors: N. Parvathi, S. Vidyanandini
  • Journal: Journal of Information and Optimization Sciences
  • Volume: 35 (4)
  • Pages: 387-393
  • Year: 2014
  • Summary: The paper investigates the concept of graceful labeling in graph theory, specifically applied to caterpillar trees, which has applications in network theory and combinatorial mathematics.

3. Square difference labeling for complete bipartite graphs and trees

  • Authors: S. Vidyanandini, N. Parvathi
  • Journal: International Journal of Pure and Applied Mathematics
  • Volume: 118 (10)
  • Pages: 427-434
  • Year: 2018
  • Summary: This research introduces square difference labeling techniques applied to complete bipartite graphs and trees, contributing to the field of graph labeling.

4. On edge irregularity strength of complete graphs and complete bipartite graphs

  • Authors: S. Vidyanandini, N. Parvathi, S. Sivakumar
  • Journal: International Journal of Pure and Applied Mathematics
  • Volume: 119 (14)
  • Pages: 341-344
  • Year: 2018
  • Summary: This paper explores edge irregularity strength, specifically for complete graphs and complete bipartite graphs, providing deeper insights into the irregularity of edges in these fundamental graph structures.

5. Graph Composite Labeling techniques and Practical Applications

  • Authors: A. Sethukkarasi, S. Vidyanandini
  • Conference: 2024 International Conference on Emerging Systems and Intelligent Computing
  • Year: 2024
  • Summary: The paper presents various techniques in graph composite labeling and their practical applications, particularly in network analysis and intelligent computing systems.

Conclusion

Dr. Vidyanandini Subramaniyan is a highly deserving candidate for the Best Researcher Award, given her extensive research contributions, academic excellence, and positive impact on both theoretical and applied mathematics. Her work in graph theory, especially in the areas of graph labeling and network analysis, stands as a testament to her intellectual rigor and commitment to advancing mathematics. As she continues to grow and evolve in her career, focusing on expanding interdisciplinary collaborations and incorporating emerging technologies into her research will further enhance her impact in the academic and industrial spheres.