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Members of the Complex Systems and Networks Group: some thumbnail sketches

David David Arrowsmith's main area of research has been  dynamical systems. More recently, he  has been involved with research programmes on  complex networks in telecommunications, power grids, and infrastructure supplies. He has published over 60 articles and 5 books (including 2 translations).  In the last decade he has been supported by the EPSRC  on packet traffic in networks (Joint  with University of York, 2003-2005), and was Principal Investigator of an EPSRC project RAVEN - Resilience, Adaptability, and Vulnerability of complex Energy Networks,  2010-2013.  He was also  coordinator for an EU Pathfinder research project, MANMADE, on the criticality of energy infrastructure networks in Europe 2006-2009; .  He is currently involved in the co-supervising a PhD project with the School of Medicine and Denistry at QML  on the network analysis of trauma response, 2011-2014. He is a member of the EPSRC Strategic Advisory Team for Mathematical Sciences, 2011-2014;  Chair of HoDoMS(Heads of Departments of Mathematical Sciences UK) 2011-2014; member of the LMS Research Committee, 2011-2014; member of the QAA Subject Benchmark Review (Mathematics, Statistics and Operational Research), 2014; Member of the Joint Mathematical Council Executive,  2014-2015, proposed Education Secretary of the IMA,  proposed for 2015-2017. 
Ginestra Ginestra Bianconi is Reader (Associate Professor) in Applied Mathematics and Director of the MSc in Network Science. She works on network theory and on interdisciplinary applications to complex biological, social and technological systems. The results of her work include the discovery of the Bose-Einstein condensation of complex networks that explains the winner-takes-all phenomena observed in the World-Wide-Web, and an information theory approach to complex networks based on the entropy of network ensembles. Currently, her research focuses on the most recent developments of network theory including structure and dynamics of multilayer networks and temporal networks,  network control and network geometry.
Leon Enzo Nicosia is a Lecturer in Networks and Data Analysis in the School of Mathematics. 
Lucas Lucas Lacasa has broad interests in complexity science, where he addresses both theoretical and applied problems by using tools from statistical physics, nonlinear dynamics, stochastic processes and network science. He introduced the concept of visibility algorithms, accurate transformations mapping time series to networks, as a novel tool for graph-theoretical time series analysis, which he has successfully applied to classic series classification problems, such as the chaos/noise or the reversible/irreversible identification. He is currently interested in developing a general network-based theory of signals and their underlying dynamics under this approach. Other research interests include the application of statistical physics, dynamical systems and networks to interdisciplinary problems: the onset of phase transitions and criticality in combinatoric systems, the emergence of collective behaviour in social or biological systems, or the description of dynamics running in top of networks are a few examples. He joined QMUL in 2013.
Vito Vito Latora is interested in complex systems, nonlinear dynamics and statistical mechanics. He has contributed with a series of mathematical models and empirical studies to understand the structure and dynamics of complex networks. In particular, he has pioneered works on the efficient behavior of weighted networks, on cascading failures, and on spatial networks. He is currently focusing on time-varying networks, and on interacting and biased random walks, epidemic spreading, and emergence of synchronization in complex networks. He is actively working on various applications of complex networks theory to neuroscience, biology, social sciences, and to the study of urban systems. He is a coauthor of a review article on the structure and dynamics of complex networks. He has joined QMUL in 2012.