Dr. Mahdi Jalili, Sharif University of Technology, Iran
Date: Wednesday, 1st September 2010
Time: 11.00 am - 12:00 noon
Light Lunch will be provided after the seminar
Location: DEBII Board Room, Enterprise Unit 4, De Laeter Way, Techpark
RSVP latest by Monday 30th Aug 2010 (essential for catering)
Complex dynamical networks are ubiquitous phenomena in many real-world systems, and have been shown to share some common statistical properties such as scale-free and/or small-world attributes. The methods of network theory have been applied to numerous ranging from biology to engineering and sociology. Individual dynamical systems interacting over a complex structure may display a collective behaviour if coupled strong enough. Synchronization is the most obvious form of collective behaviour in complex dynamical networks. The analysis of synchronization phenomenon has always been subject to active investigations in the field of dynamical systems. Indeed, tendency to achieve common rhythms of mutual behaviour, or in other words, tendency to synchronization, is an important feature in our living world. During the last couple of decades the notion of synchronization has been generalized to the case of interacting chaotic oscillators, which has led to different concepts of synchronization. Studying the collective behaviour of dynamical systems over complex networks and observing their synchronous motion may lead us to understand their underlying properties betters and/or design more efficient networks. Studying synchronization phenomena has many applications ranging from biology to engineering, physics and chemistry. This has motivated a lot of researchers to inaugurate exploration in this field.
In this talk, first the notions of synchronization in dynamical networks are introduced. Then, their applications in an engineering problem, average consensus in sensor networks, and in biological problem, brain connectivity analysis, are presented. A number of theoretical results to enhance the synchronizability of dynamical networks will be given supported by extensive numerical simulations. The robustness of the network parameters against random errors and/or intentional attacks will also be discussed.
Biography of the speaker
Mahdi Jalili received his BS degree in Electrical Engineering from Tehran Polytechnique in 2001, his MS degree in Electrical Engineering from the University of Tehran in 2004, and his PhD from Swiss Federal Institute of Technology Lausanne (EPFL) in 2008. Since 2009, he has joined Department of Computer Engineering, Sharif University of Technology as an assistant professor. His research interests are in dynamical networks, synchronization in complex networks, social networks and human brain functional connectivity analysis. He has received numerous awards such as the distinguished student of the University of Tehran, EPFL scholarship, SICE, IMACS, NDCOS, and SNS travel grants, and a presidential award of the 15th Razi Research Festival in Medical Sciences. He is a member of IEEE.