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Assistant Professor
Qualification
M. Sc. (Pure Mathematics), Ph. D. (Discrete Mathematics)
Professional Exp.
9 Years
Registration Number
5890-211128-120022
Email Address
drsreedvi@aceec.ac.in
Dr. Sreedevi S.L. is a curious researcher with strong foundation in Mathematics and its interdisciplinary applications. She did her Ph.D. in Mathematics from the prestigious the Department of Mathematics, UNIVERSITY OF KERALA, Thiruvananthapuram. Her areas of interest is Graph Theory, Coding Theory and Cryptography.
In addition to research, Dr. Sreedevi has over all nine years of teaching experience. It includes various Arts and Science colleges in Thiruvananthapuram and different Engineering Colleges in Hyderabad. She has been an part of various student development programs, placement activities, mentoring students. Her academic journey reflects a commitment to acquire knowledge, fostering interdisciplinary collaborations, and contributing both theoretically and practically to the scientific community.
Educational Details
Professional Background
Subjects Taught:
Core Research Domains:
Research Focus:
PhD Awarded on “Selected Topics in Graphs and Respective Codes”
In the doctoral thesis entitled “Selected Topics in Graphs and Respective Codes”, a few concepts of two major areas of mathematics, viz. Graph theory and Coding theory, were studied, as graphs play a vital role in describing real life problems, and codes are widely used for information transmission, as each being a better counter part of the other. The study was focused mainly on graph invariants and the construction of a new class of code, the Vertex code of graphs, form the graphs considered earlier in the study.The study was extended to some binary operations on two graphs and the polynomials of the resultant graphs were estimated and their characteristics were generalized.
The combinatorial information and the algebraic properties of a graph can be easily understood from its polynomials. These polynomials are also good tools to check the capability of a graph in networking. The results were published as research papers.
A new binary nonlinear code, from a given graph , was found out, in such a way that if has a vertex set a code was obtained with code words so that to each vertex of there exists a unique code word of with minimum block length . Certain constraints were set so as to obtain a general nature for the code words corresponding to particular vertices. An algorithm was developed to find the existence of such code of a graph.
The reverse process of retracing a graph has been done, from any given code , assuming it to be a code of any graph, with the help of another algorithm. Results stating the properties of these codes were obtained.
Considering the advantages of linear codes over nonlinear, an attempt was made to construct linear codes from nonlinear codes obtained in the course of study. This particular linear code had less block length compared to linear codes from graphs already discussed in the literature, and both classes of codes have same distance. Thus, the construction followed in the study can be considered as a good tool to develop a linear code from graphs of higher order. The results of these studies were published as research papers.
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Conference Presentations
FDPs, Conferences & Workshops Attended:
More than 10 + Conferences and workshops, of which the latest are: