Infotech Oulu Intensive Course
Information, topology and synchronization in complex networks: Theory and applications
Course Schedule and Venues
4 Nov 13:00-15:30 in Lecture Hall TS 101
5 Nov 10:00-16:00 in Lecture Hall IT 138
6 Nov 10:00-12:00 in Lecture Hall TS 128
This course offers an overview of the role of information, topology and synchronization in complex networks. In the first part of the course the students will learn the theory behind these concepts in general terms. In particular, it will be introduced concepts from Ergodic theory, complex networks, Theory of information, synchronization. The second part of the course consists in a wide range of applications such as: topology versus behavior (information, synchronization, and flows) in complex networks, collective almost synchronization, chaos-based wireless communication, chaos-based cryptography (including applications to tablet and smart phone communication), periodic motion in nonlinear systems, and stability of the power-grid. In the final part of the course, the students should prepare an essay about possible applications of the theory and/or research perspectives on the topic.
More detailded description can be downloaded as PDF (link below)
About the lecturer: Dr. Murilo da Silva Baptista has a bachelor degree in physics from University of São Paulo (1992) and a PhD degree in physics from the same institution (1996). He also held a postdoctoral position at University System of Maryland (1997-1999), at University of São Paulo (1999-2004) and at University of Potsdam (2004-2006). He was also a visiting researcher at National Institute of Applied Optics - Italy (2002-2003), Max-Planck Institute for the Physics of Complex Systems (2006-2008), and was a guest assistant lecturer of the Center for Mathematics, University of Porto (2008-2009). He joined the University of Aberdeen in 2009, where he is currently Senior Lecturer at the Institute for Complex Systems and Mathematical Biology and at the recently created Institute of Pure and Applied Mathematics.
He has experience in the large multidisciplinary area of modern physics and applied mathematics, which includes the areas of Complex Networks, Information, Dynamical Systems, Synchronisation, Chaos, Chaos control, time-series analysis, and modeling of Biological systems.
More information: Pedro Nardelli
Pre registration at: http://www.webropolsurveys.com/S/E4061FF59349A0E3.par
Last updated: 23.10.2013