Prof. Cristina Masoller
research on complex systems and data analysis
Complex systems
are constituted by a large number of nonlinear units with nonlinear interactions.
The dynamics and the interactions are often only partially known, and we are
interested in developing appropriated data analysis tools for inferring and
predicting the system’s structure and dynamics, from observed data. We are
also interested in the identification and forecast of critical transitions
and extreme fluctuations. |
Watch the videos to see how the how seasons evolve
during a normal
year, a El
Niño year and a La Niña year
(temporal evolution of the cosine of the Hilbert phase, D.
Zappala et al., Chaos 2020). Fundus image and extracted tree-like network (P.
Amil et al., Plos One 2019). |
Recent
publications Point process analysis of
geographical diffusion of news in Argentina L. Garcia, G. Tirabassi, C. Masoller, P. Balenzuela Chaos 35, 013135 (2025). https://arxiv.org/abs/2405.19552 J. Gancio, C. Masoller, G. Tirabassi Chaos 34, 043130 (2024) Inferring
the connectivity of coupled oscillators from event timing analysis R. P. Aristides, H. A. Cerdeira,
C. Masoller, G. Tirabassi Chaos, Solitons & Fractals 182, 114837 (2024) Recent presentations Classical ordinal
patterns and beyond (COPAB 2025), Twente, The Netherlands, April 2025 Invited talk: Characterizing
and detecting regime transitions by using ordinal analysis Book Networks
in Climate (H. A.
Dijkstra, E. Hernandez-Garcia, C. Masoller and M.
Barreiro, Cambridge University Press 2019, ISBN: 9781316275757) |
|
Funding ICREA ACADEMIA, Catalan Government
(2021-2025) European Commission BELIGHT (HORIZON-101119924) |
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