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 Permutation entropy analysis of EEG signals for distinguishing eyes-open and eyes-closed brain states: comparison of different approaches 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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