Networks are Everywhere: Gaining New Perspectives from Telecommunication to Disease Search (FCS Research Seminar)

FCS RESEARCH SEMINAR SERIES | Wednesday, May 12 | 9:00 a.m. AST | See MS Teams link below

CSCI 6999 Eligible

Networks are Everywhere: Gaining New Perspectives from Telecommunication to Disease Search
Dr. Somayeh Kafaie
Postdoctoral fellow, Faculty of Computer Science, Dalhousie University

Networks provide a general language to describe complex systems of interacted entities, where system components are represented as network vertices, and their relations define network edges. In this talk, I will discuss my work exploring applications of networks in a variety of areas from telecommunication to health-related issues, and explain my approach to improve system behaviour and gain fundamental insights into the dynamics of systems by extracting novel information from their constructed networks.

First, I describe my proposed method on improving the performance of wireless networks especially in lossy environments through a smart combination of two promising methods of network coding and opportunistic forwarding. Then, I demonstrate my approach in applying network science to genome-wide association studies and identifying novel genes with potential high association with colorectal cancer risk. Finally, I explain how exploring giant metagenomic assembly graphs can provide us with novel information about the context of antimicrobial resistance genes.

These examples demonstrate the fact that networks, if designed carefully, can greatly reduce the complexity of a system and facilitate deriving new insights from its structure compared to processing its components in isolation. In fact, networks are everywhere, and every research area can benefit from treating data in correlation rather than in isolation.

Somayeh Kafaie is a postdoctoral fellow in the Faculty of Computer Science, Dalhousie University. She received her PhD from the Department of Electrical and Computer Engineering, Memorial University. Before joining Dalhousie University, Dr. Kafaie was a postdoctoral fellow in Computer Science Department of Memorial University. Her research focuses on networks and their applications in several areas including communications and biology. She is interested in studying the global and local behavior of networks, analyzing structural roles of vertices and the way they interact, or edges are defined. Dr. Kafaie’s research results have been published in high-impact venues such as IEEE TVT, IEEE TMC, IEEE COMST and Genetic Epidemiology, and won her a number of awards from the department level all the way to the international competitions. Her current research interest includes complex networks, bioinformatics, wireless networks and machine learning.




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