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Grant: Discovery Grants Program - Individual

Brock University

$15,000.00

Algorithmic and Computational Graph Theory and Game Theory

FY 2015-16

Summary
Fundamental problems in computer science revolve around the discovery of efficient algorithms. Designing fast algorithms or proving that no fast algorithm exists intimately relies, in many cases, on geometrical and graph theoretic characteristics of the problem. Graph Theory has long been recognized as one of the most fruitful fields for the formal study of such problems. Recently, with the massive amounts of network data that are becoming computationally available (including some social and biological networks), mathematicians and computer scientists have studied topological characteristics that such networks exhibit. One aspect of my research will focus on the analysis of large-scale networks. This work includes a precise topological analysis and proposing generative mechanisms. Such mechanisms have potential to help us reason, at a general level, about the ways in which real-world networks are organized. These models have novel algorithmic and graph-theoretic questions that I plan to study. A closely related line of research is the study of statistical aspects of graphs and the probabilistic treatment of random graphs - graphs that are generated by some random process. Random graphs also allow researchers to consider graphs that are both large and unstructured. Random lifts, a new versatile class of random graphs, is defined by, roughly speaking, randomly selecting the permutation that defines the lift. This allows us to design somewhat structured random graphs to model a variety of important naturally-occurring random graphs. Thus, determining the typical properties of a lift, such as their chromatic number, and how they reflect the properties of the base graph are very important and is another aspect of my research. I also intend to work on some of the classically more important problems in graph colouring, a traditionally important area of graph theory for computer scientists. In some of these problems, I will make use of the discharging method - the tool by which the famous Four Colour Problem was finally proved in 1979.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
356035-2013
Name nom
Farzad, Babak
Department département
Mathematics & Statistics
Organization id
22
Institution établissement
Brock University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2013
Award amount
15000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2713
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Algorithms
Research subject fr
Algorithmes
Partie
3
Nb partie
5
Application title
Algorithmic and Computational Graph Theory and Game Theory
Keyword
NSERC
Application summary
Fundamental problems in computer science revolve around the discovery of efficient algorithms. Designing fast algorithms or proving that no fast algorithm exists intimately relies, in many cases, on geometrical and graph theoretic characteristics of the problem. Graph Theory has long been recognized as one of the most fruitful fields for the formal study of such problems. Recently, with the massive amounts of network data that are becoming computationally available (including some social and biological networks), mathematicians and computer scientists have studied topological characteristics that such networks exhibit. One aspect of my research will focus on the analysis of large-scale networks. This work includes a precise topological analysis and proposing generative mechanisms. Such mechanisms have potential to help us reason, at a general level, about the ways in which real-world networks are organized. These models have novel algorithmic and graph-theoretic questions that I plan to study. A closely related line of research is the study of statistical aspects of graphs and the probabilistic treatment of random graphs - graphs that are generated by some random process. Random graphs also allow researchers to consider graphs that are both large and unstructured. Random lifts, a new versatile class of random graphs, is defined by, roughly speaking, randomly selecting the permutation that defines the lift. This allows us to design somewhat structured random graphs to model a variety of important naturally-occurring random graphs. Thus, determining the typical properties of a lift, such as their chromatic number, and how they reflect the properties of the base graph are very important and is another aspect of my research. I also intend to work on some of the classically more important problems in graph colouring, a traditionally important area of graph theory for computer scientists. In some of these problems, I will make use of the discharging method - the tool by which the famous Four Colour Problem was finally proved in 1979.