Applications of Network Science: From Communication Networks to Power Grids

Past

Abstract: Network Science is a newly emerging scientific discipline that investigates common attributes and differences (static and dynamic) among diverse physical and engineered networks, such as social networks, biological networks, Internet, and communication networks. Generally speaking, Network Science is the combination of Graph Theory, Control Theory, and cross-discipline applications. In this talk we focus on the application of Network Science in different networking technologies. The first part of the talk is a brief discussion of our theoretical findings in network science. In particular, we explain the notion of network criticality as a measure of network robustness. In the second part of the talk, we discuss the application of network criticality in network planning and traffic engineering for communication networks. The third part of the talk is dedicated to the application of network criticality in the design of robust sparse power grids. Bio: ALI TIZGHADAM is currently a Post Doctoral research fellow in the Department of Electrical & Computer Engineering at the University of Toronto (UofT) and a part-time instructor at the University of Ontario Institute of Technology (UOIT). He is also managing the Network Architecture Lab (NAL) in the Communications group at UofT. He received his PhD in 2009 from University of Toronto in Electrical and Computer Engineering. He has been in telecom industry for 10 years before pursuing his PhD studies. His research interests span the areas of Network Science, Wireless Networks, Smart Grid Communications, Cloud Computing, Green Networking, Network Resource Management, Optimization Theory, and their applications in different networking areas.