Dr Lavanya Selvaganesh
vidwan id: 215364
Associate Professor,
Indian Institute of Technology (BHU), Varanasi
Expertise
- Applied Mathematics
Publications
Publications
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Scopus
h-index
8
CrossRef
Citations
141
h-index
7
Google Scholar
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Professional Recognition
Post-doctoral fellowship
National Board of Higher Mathematics, Department of Atomic Energy, IndiaSenior research fellowship
Council of Scientific and Industrial Research, IndiaMerit Scholarship
Indian Institute of Technology Madras, India, 2001 - 2003.First Prize in Inter-Collegiate Math Olympiad
Stella Maris College, Chennai, IndiaFellow of the ICA (FTICA)
Institute of Combinatorics and its ApplicationsCommunity & Membership
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International Linear Algebra Society
Indian Sccience Congress Association
Indian Mathematical Society
Ramanujan Mathematical Society
Society for Industrial and Applied Mathematics, USA
European Mathematical Society
American Mathematical Society
Academy of Discrete Mathematics and Applications, India
Bio
Graph Theory and Network Sciences, Graph Embedding, Survivable Routing in Networks, Algebraic Graph Theory, Spectral Graph Theory, Algorithms and Computational Complexity, Quantitative Analysis of Complex Networks
Personal Details
- Female
- Associate Professor , Indian Institute of Technology (BHU), Varanasi
- Indian Institute of Technology (Banaras Hindu University)
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Co-Authors (4)
Indian Institute of Technology Madras
Tezpur University
Manonmaniam Sundaranar University
Dhirubhai Ambani Institute of Information & Communication Technology (DAIICT), Gandhinagar
Scholarly Work
Applications of Spectral Graph Theory in analyzing the structural properties of large scale networks
Funding Agency: MATRICS, SERB India
Principal Investigator
Rs. 6,60,000
2019 - Ongoing
A Different Perspective of Spectral Graph Theory in the Structural Characterization of Networks
Funding Agency: SERB
Principal Investigator
Rs. 14,04,000
2014 - 2018
A Study of Topological Indices and their Applications to Molecular Graphs
A STUDY OF GRAPHS OF FINITE GROUPS
Structural Characterization Of Graphs Using Signless Laplacian Spectrum
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