Center for Informed Democracy & Social - cybersecurity: IDeaS Seminar

  • Remote Access Enabled
  • Virtual Presentation - ET
  • Associate Research Professor
  • Department of Electrical and Computer Engineering
  • Carnegie Mellon University

The effects of evolutionary adaptations on spreading processes in complex networks

A common theme among previously proposed models for network epidemics is the assumption that the propagating object (e.g., a pathogen in the context of infectious disease propagation, or a piece of information in the context of information propagation) is transferred across network nodes without going through any modification or evolutionary adaptations. However, in real-life spreading processes, pathogens often evolve in response to changing environments and medical interventions, and information is often modified by individuals before being forwarded.

In this talk, we will present our recent results on the effects of evolutionary adaptations on spreading processes in complex networks with the aim of i) revealing the role of evolutionary adaptations on the threshold, probability, and final size of epidemics and ii) exploring the interplay between the structural properties of the network and the evolutionary adaptations of the spreading process.

Osman Yağan is an Associate Research Professor of Electrical and Computer Engineering (ECE) at Carnegie Mellon University (CMU), where is also a member of CyLab Security and Privacy Institute and the Center for IDeaS. Prior to joining the faculty of the ECE department in August 2013, he was a Postdoctoral Research Fellow in CyLab. Dr. Yağan received his Ph.D. degree in Electrical and Computer Engineering from the University of Maryland at College Park, MD in 2011, and his B.S. degree in Electrical and Electronics Engineering from the Middle East Technical University, Ankara (Turkey) in 2007. 

Dr. Yağan's research interests are in modeling, design, and performance evaluation of engineering systems with particular emphasis on communication systems and networks. Specific research topics include wireless communications, security, random graphs, social and information networks, and cyber-physical systems.  Dr. Yağan is a Senior Member of IEEE and a recipient of CIT Dean's Early Career Fellowship.

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