CCB Virtual Seminar Series - Dr Furqan Aziz

         Graph Theory and its applications in characterizing biological networks

Speaker: Dr Furqan Aziz, Research Fellow (Network-based Machine Learning and Graph-based Algorithms)

Graph-based methods have emerged as a powerful tool for analysing the structure of a complex system.  A complex system is composed of many components which may interact with each other in different possible ways. Examples of such systems include biological networks, social networks, computer networks, and citation networks. Graphs provide a natural way to represent these systems, where nodes of the graph correspond to components while edges of the graph represent interactions. These graphs are commonly known as complex networks in the literature. In this presentation, Dr Aziz will discuss the basic graph theory concepts and how graph-based methods can be used to obtain important information about the structure and the behaviour of the system. Finally, he will briefly talk about the importance of graph theory and its applications in analysing biological networks.