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.

Jose Mendes | Network Theory | Network Science Visionary Award

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Prof. Jose Mendes | Network Theory | Network Science Visionary Award

Professor,at univ aveiro, Portugal📖

José Fernando Mendes is a Full Professor at the Department of Physics, University of Aveiro, Portugal, and a globally recognized expert in statistical physics and complex systems. His pioneering research on ‘small-world’ and ‘scale-free’ networks has significantly influenced multiple domains, including neuroscience, ecology, and epidemiology. A Fellow of the American Physical Society (APS) and the Academia Europaea, he has published over 160 peer-reviewed articles, authored three books with Oxford and Cambridge University Press, and presented groundbreaking analytical solutions to major network models. His contributions have earned him numerous accolades, including the Senior Prize of the Complex Systems Society (2020) and honorary fellowships.

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Education Background🎓

José Fernando Mendes holds a Habilitation in Physics from the University of Porto, Portugal (2002), a Ph.D. in Physics from the same institution (1995), and a Master’s in Physics from the University of Porto (1990). His extensive academic background has equipped him with the expertise needed to become a leading figure in his field, particularly in theoretical physics and complex systems.

Professional Experience🌱

José Fernando Mendes has an illustrious career in academia, holding the position of Full Professor at the Department of Physics, University of Aveiro, Portugal, since 2005. Before this, he served as Associate Professor at the same department (2002-2005) and Assistant Professor at the University of Porto, Portugal (1995-2002). Mendes has also held prestigious roles as a visiting researcher and invited professor at various renowned institutions worldwide, including École Polytechnique Fédérale de Lausanne (EPFL), Nanyang Technical University (NTU), and ETH Zurich, among others. Additionally, he has contributed significantly to university administration, having served as Vice-Rector for Research at the University of Aveiro (2010-2018) and Director of the Associated Laboratory I3N from 2009 to 2010, with renewed leadership in 2023.

Research Interests🔬

Prof. Mendes’ research spans statistical physics, complex systems, granular media, soft condensed matter, complex networks, and computational physics. He is especially known for:

  • Analytical solutions of small-world and scale-free network models.
  • Statistical mechanics approaches for random graphs.
  • Applications in neuroscience, epidemics modeling, and ecology.
  • Hybrid phase transitions and explosive percolation.

Author Metrics 

José Fernando Mendes has made a substantial impact in his field, with over 160 papers published in peer-reviewed journals, including high-impact journals such as Reviews of Modern Physics, Nature Physics, and Physical Review Letters. His scholarly work has earned him over 21,000 citations, an h-index of 49, and an average of 70 citations per paper. Notably, his two books published by Oxford University Press have received over 3,400 citations. His work on complex networks and statistical physics has significantly influenced various scientific disciplines, cementing his position as a leading figure in his area of expertise.

Major Breakthroughs

  • Exact analytical solutions for small-world phenomena and the Albert-Barabási model.
  • Generalized scaling for non-equilibrium systems.
  • Data-driven models for COVID-19 and other epidemics.
  • Introduced metrics for ranking scientists and analyzing mobility program disparities.

Publications Top Notes 📄

1. Evolution of Networks: From Biological Nets to the Internet and WWW

  • Authors: S.N. Dorogovtsev, J.F.F. Mendes
  • Publisher: Oxford University Press, 2003
  • Year: 2003
  • Content Summary: This book explores the principles and mechanisms of network evolution across biological, technological, and social systems, focusing on the Internet and the World Wide Web.
  • Citations: 4185

2. Evolution of Networks

  • Authors: S.N. Dorogovtsev, J.F.F. Mendes
  • Journal: Advances in Physics, 51(4), pp. 1079–1187
  • Year: 2002
  • DOI: 10.1080/00018730110112519
  • Content Summary: This comprehensive review covers network evolution mechanisms, small-world and scale-free networks, and their clustering properties, with applications in diverse real-world systems.
  • Citations: 4140

3. Critical Phenomena in Complex Networks

  • Authors: S.N. Dorogovtsev, A.V. Goltsev, J.F.F. Mendes
  • Journal: Reviews of Modern Physics, 80(4), pp. 1275–1335
  • Year: 2008
  • DOI: 10.1103/RevModPhys.80.1275
  • Content Summary: This paper investigates critical phenomena in complex networks, focusing on phase transitions, percolation, and synchronization in fields ranging from physics to biology.
  • Citations: 2520

4. Sync and Swarm: Solvable Model of Nonidentical Swarmalators

  • Authors: S. Yoon, K.P. O’Keeffe, J.F.F. Mendes, A.V. Goltsev
  • Journal: Physical Review Letters, 129(20), Article 208002
  • Year: 2022
  • DOI: 10.1103/PhysRevLett.129.208002
  • Content Summary: This paper introduces a solvable model of swarmalators, entities combining synchronization and swarming, with applications in fields such as biology and robotics.
  • Citations: 22

5. Weak Percolation on Multiplex Networks with Overlapping Edges

  • Authors: G.J. Baxter, R.A. da Costa, S.N. Dorogovtsev, J.F.F. Mendes
  • Journal: Chaos, Solitons and Fractals, 164, Article 112619
  • Year: 2022
  • DOI: 10.1016/j.chaos.2022.112619
  • Content Summary: This study explores weak percolation in multiplex networks with overlapping edges, providing insights into their structural robustness and critical behavior.
  • Citations: 5
Conclusion

Prof. José Fernando Mendes is an outstanding candidate for the Network Science Visionary Award due to his pioneering contributions to network theory, his interdisciplinary influence, and his sustained academic excellence. His ability to provide analytical solutions to complex problems has profoundly impacted network science. To further amplify his impact, expanding collaborations with other research sectors and embracing emerging technologies would be beneficial. Overall, his legacy in network science is already firmly established, and his continued work promises to shape the field for many years to come.

Network Science Visionary Award

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Introduction of Network Science Visionary Award

Welcome to the Network Science Visionary Award, a prestigious recognition celebrating those who exemplify groundbreaking contributions and extraordinary vision in the field of network science. This award aims to honor individuals whose innovative thinking and transformative efforts have significantly advanced our understanding of networks.

Eligibility:

Open to professionals, researchers, and innovators of all ages, the Network Science Visionary Award is accessible to anyone who has made noteworthy contributions to the field of network science. There are no age limits, and candidates may come from diverse educational backgrounds.

Qualifications:

Candidates must possess a strong foundation in network science, demonstrated through outstanding academic achievements, research publications, and a history of impactful contributions to the field.

Evaluation Criteria:

The award committee will assess candidates based on the depth and breadth of their contributions to network science, the significance of their research, and the transformative impact of their work on the field.

Submission Guidelines:

Submit a comprehensive biography, an abstract outlining your key contributions, and supporting files that showcase the impact of your work. Ensure that your submission clearly demonstrates your visionary approach to network science.

Recognition:

The Network Science Visionary Award brings unparalleled recognition and prestige to the recipient. Awardees will be featured in prominent industry publications, invited to speak at leading conferences, and connected with a network of fellow visionaries.

Community Impact:

Beyond individual recognition, this award acknowledges the broader impact of visionary contributions on the community. Awardees are celebrated for their role in advancing the collective understanding of network science.

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