Stefano
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Stefano Battiston is senior researcher in chair of complex systems design at ETH in Zurich. His work applies the complex networks approach both to the empirical analysis of large economic networks and the modeling of their dynamics. His main activity at the frontier of physics and economics has made an impact on both communities, by covering topics such as corporate control, innovation, decision-making, and financial risk. A collateral line of research has lead to interesting applications in computer science in the field of trust algorithms for on-line social networks. In recent years, his main interests have been financial contagion, default cascades, and propagation of financial distress, where he combines the insights from the statistical mechanics of networks with the analysis of economic incentives. He is currently involved in the coordination of the European Project FOC, aimed at anticipating structural instabilities in global financial networks. He also manages a Swiss project on the impact of OTC derivatives on systemic risk.
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Francesco Bonchi is a senior research scientist at Yahoo! Research in Barcelona, Spain, where he is leading the Web Mining Research group. His recent research interests include mining query-logs, social networks, and social media, as well as the privacy issues related to mining these kinds of sensible data. In the past he has been interested in data mining query languages, constrained pattern mining, mining spatiotemporal and mobility data, and privacy preserving data mining.
He is member of the ECML PKDD Steering Committee, member of the Editorial Board of ACM Transactions on Intelligent Systems and Technology (TIST), and Associate Editor of IEEE Transactions on Knowledge and Data Engineering (TKDE). He's also the organizer of the Yahoo! Research Barcelona Seminars series. He has been program co-chair of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010). Dr. Bonchi has also served as program co-chair of the first and second ACM SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007 and 2008), the 1st IEEE International Workshop on Privacy Aspects of Data Mining (PADM 2006), and the 4th International Workshop on Knowledge Discovery in Inductive Databases (KDID 2005). He is co-editor of the book "Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques" published by Chapman & Hall/CRC Press. He earned his Ph.D. in computer science from the University of Pisa in December 2003. |
Guido
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Guido Caldarelli got his degree in 1992 in Rome (La Sapienza University) and his PhD in 1996 in Trieste (SISSA). After Postdocs in Manchester and Cambridge he became research assistant in INFM and then Primo Ricercatore at ISC-CNR where he is still working. He is currently Professor in Physics at IMT Lucca, and a LIMS Fellow.
His research interests are mainly in the field of Complex Networks. |
Vittoria
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Vittoria Colizza completed her undergraduate studies in Physics at the University of Rome, IT, “La Sapienza” in Oct 2001 with a thesis on the thermodynamics of dense granular media. Starting in Nov of the same year, she entered the PhD program in Statistical and Biological Physics at the International School for Advanced Studies (ISAS), Trieste, IT, where she graduated in Oct 2004 with a thesis titled “Statistical mechanics approach to complex networks: from abstract to biological networks”. Right after she joined the Complex Systems Group at the Indiana University School of Informatics in Bloomington, IN, where she spent two years as a Postdoctoral Research Associate. In Feb 2006 she became a member of the Complex Networks Lagrange Laboratory (CNLL) at the Institute for Scientific Interchange (ISI) in Turin, IT, and spent the year 2007 as a Visiting Assistant Professor at the IU School of Informatics. Colizza currently holds a position as a Researcher at the U707 at INSERM in Paris, France, and is also Research Leader at the Computational Epidemiology Laboratory in the ISI Foundation in Turin, Italy.
Her research activity ranges from the analysis of the structural properties of complex networks and their relation to the networks’ functions, to the study of dynamical processes occurring on complex networks. In particular her interests focus on the characterization and modeling of the geographical spread of emerging infectious diseases. |
Paolo
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Paolo De Los Rios is Associate Professor at the Ecole Polytechnique Fédérale of Lausanne (EPFL) in Switzerland and works there at the Laboratory of Statistical Biophysics.
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Santo
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Santo Fortunato completed his PhD studies in the group of Theoretical High Energy Physics at the University of Bielefeld (Germany): The title of his PhD thesis was "Percolation and Deconfinement in SU(2) Gauge Theory". He stayed in Bielefeld as a postdoctoral research associate until December 2004.
From February 2005 to January 2007 he was postdoctoral research associate at the School of Informatics of Indiana University in Bloomington (Indiana, USA), working in the Complex Systems Group led by Prof. Alessandro Vespignani. He was then (February 2007 - September 2011) research scientist at the Complex Networks Lagrange Laboratory of the Institute for Scientific Interchange (ISI) in Turin, Italy. Since October 2011, he is Associate Professor in Complex Systems of the Department of Biomedical Engineering and Computational Science (BECS) of the School of Science of Aalto University in Espoo, Finland. |
Bruno
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Bruno Gonçalves completed his joint PhD in Physics, MSc in C.S. at Emory University in Atlanta, GA in 2008 following which he joined the Center for Complex Networks and Systems Research at Indiana University as a post-doctoral research associate. From September 2011 until August 2012, he was an Associate Research Scientist at the Laboratory for the Modeling of Biological and Technical Systems at Northeastern University. Maître de Conférences at Aix-Marseille Université in Marseille, France.
His research activity focuses on using computational, visualization and data analysis methods for the study of Complex Systems in a multidisciplinary context. Current projects include detailed epidemic modeling in structured populations; knowledge diffusion on large technological networks; and the study of human behavior through the analysis of proxy social network dynamics Website: www.bgoncalves.com |
Eric Kolaczyk obtained a PhD degrees in statistics from Stanford University. He has been on the faculty in the Department of Mathematics and Statistics at Boston University since 1998, and was faculty in the Department of Statistics at the University of Chicago before that. He also has been visiting faculty at Harvard University and l'Universite Paris VII. He currently teaches an annual short-course at l'Ecole Nationale de la Statistique et de l'Administration Economique (ENSAE) in Paris.
Prof. Kolaczyk's main research interests currently revolve around the statistical analysis of network-indexed data, and include both the development of basic methodology and inter-disciplinary work with collaborators in bioinformatics, computer science, geography, neuroscience, and sociology. Besides various research articles on these topics, he has also authored a book in this area: Statistical Analysis of Network Data: Methods and Models (Springer, 2009). Prior to his working in the area of networks, Prof. Kolaczyk spent a decade working on statistical multi-scale modeling. |
Yamir
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Dr. Moreno received the undergraduate and Master degrees in Physics from the University of Havana (1993 and 1996, respectively) and a Ph. D in Theoretical Physics from the University of Zaragoza, Spain, in 2000. Soon afterwards, he joined the Condensed Matter Section of the International Centre for Theoretical Physics in Trieste, Italy as a research fellow. In February 2003, he returned to the University of Zaragoza, first as a research fellow and later holding a Senior Ramon y Cajal research position at the Institute for Biocomputation and Physics of Complex Systems, BIFI, of the same University. Dr. Moreno is currently a tenured Associate Research Professor, the Scientific Secretary of BIFI, and Member of the Board and Steering Committees of the Institute. Additionally, he is heading the Complex Systems and Networks Lab since it was created in 2003.
Dr. Moreno’s background is mainly in statistical physics and in the physics of complex systems. He has worked on different subjects such as non-equilibrium systems, self-organization, nonlinear dynamical systems, mathematical biology, computer simulation techniques, fracture and seismology and the structure and dynamics of complex networks in several fields of science, including the study of the interplay between structure and function in biological, technological and social networks, epidemic spreading processes, nonlinear dynamical systems coupled to complex structures and the emergence of collective behavior in diverse fields. |
Esteban
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Esteban Moro completed his PhD in Physics at the Universidad Carlos III de Madrid, Spain in 1999. Between 1999 and 2001 he served as Research Assistant in the Department of Theoretical Physics at the University of Oxford, UK. In 2001 become teaching assistant at the Universidad Carlos III de Madrid, Spain. In 2003 become Ramón y Cajal researcher at the Universidad Carlos III de Madrid, Spain where he now Assistant Professor.
His research focuses on Complex Systems. In particular he his interested on social networks, financial markets and viral marketing. Website: http://markov.uc3m.es/ |
André Panisson is a Researcher at the Data Science Laboratory of the ISI Foundation in Turin, Italy. He received his MSc in Computer Science in 2007 from the Federal University of Rio Grande do Sul (Brazil) and his PhD in Computer Science from the University of Turin (Italy) in February 2012. In 2010 he started to contribute to Gephi, an open-source software for visualizing and analyzing large networks graphs, in the context of the Google Summer of Code program, in which he recently participated as a mentor. He has contributed to a variety of open source projects, including the Twitter Elephant Bird library. His work focuses on the development of tools to measure, analyze, model and simulate the behavior of complex techno-social systems.
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Jari
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Jari Saramaki is Associate Professor and Group Leader for Complex Networks at Aalto University in Finland.
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