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Disentangling climate interactions and inferring tipping points by using complex networks
Giulio Tirabassi, Presentation date: June 5, 2015
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Giulio Tirabassi defends his PhD thesis on July 5th, 2015 "Disentangling Climatic Interactions and Detecting Tipping Points by Means of Complex Networks"
Abstract: Network theory is a powerful tool to investigate complex systems, which are systems composed by a large number of interacting sub-components. Being this a very general concept, it is not surprising that network theory has been successfully applied in very different fields such as sociology, biology, epidemics, geophysics, etc. In particular, this thesis focuses in the construction climate networks, i. e. networks in which the nodes are geographical locations on Earth and the links indicate inter-relations among them. The links were computed from various statistical similarity measures of a climatological variable (such as the surface air temperature) at different geographical locations. The approach is very general and, depending on the statistical similarity measure employed, allows investigating different aspects of the Earth climate dynamics. The thesis was developed within the EU funded LINC project (
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PhD thesis
Recent PhD theses
Yu-Chieh Cheng defends her PhD thesis on April 17th 2015
"Flat focussing mirrors"
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"Il·luminant el 2015" - Ramon Vilaseca talks about the implication and applications of Photonics in different aspects of our life and science" .
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Ignacio Deza defends his PhD thesis on February 26, 2015
"Climate networks constructed by using information-theoretic measures and ordinal time-series analysis"
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Aragoneses explains his latest works at Canal TV UPC
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Flat focusing mirror
Article by Y. C. Cheng, J. Trull, C. Cojocaru, R. Vilaseca, R. Drazdys and K. Staliunas published in Scientific Reports (Sep. 2014)
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Aragoneses et al article in Scientific Reports
The paper by Aragoneses et al that demonstrated a similar symbolic behavior in lasers and neurons received the attention of the media.
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Simone Pigolotti published in Phys. Rev. Lett. 2014
Selective Advantage of Diffusing Faster
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