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PhD Work

Summary of Ph.D. work: 

The problem of representing a graph as an intersection graph of sets was first introduced by Erdos et al. and they looked at minimising the underlying universal set necessary to represent any given graph. In that paper, it was shown that the problem is NP complete. We study a natural variant of this problem which is to consider graphs where vertices represent distinct sets and adjacency coincides with disjointness. Although this is nearly the same problem on the complement graph, for specific families of graphs this is a more natural way of viewing it. The parameters we take into account are the minimum universe size possible (USN), the minimum individual label size possible (ILN) and their uniform versions (UUSN and UILN respectively).  The work done for the thesis can be enumerated under the following broad headings. 

 

1. Results (either exact or asymptotic) on USN, UUSN and ILN for some special families of graphs. 

2. Study of data integration, dynamic queries, key features etc of tree-map (a visualization tool for large data). 

3. Labeled object treemap: a new graph-labelling based technique for visualizing multiple hierarchies. 

4. Edgeless Graph: a new graph based information visualization technique. 

5. A new characterisation of total graphs and spanning tree auxiliary graphs.

RESEARCH INTERESTS

  • YouTube
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Visions

Teaching Vision: My teaching vision is to offer a learning environment to students where all of them can identify as well as utilize their true potential (which is infinite) to understand and practically apply concepts of computer science. I would also like them to teach the art of independent thinking and problem-solving. 

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Research Vision: My research vision is to become an extraordinary graph theorist by independent as well as collaborative research and apply graph theory to solve problems of various domains.

EDUCATION

Theoretical Computer Science

Graph Theory

Algorithms

Social Network Analysis

Ph.D. in Information and Communication Technology (Year 2018), CPI: 9.25/10.00
Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India.

B.E. in Computer Engineering

(Year 2012), CPI: 7.48/10.00

Gujarat Technological University, Gujarat, India

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