Prof. Cristina Masoller research on complex systems and data analysis

Complex systems are non-linear systems made up of a large number of interacting units. Our research focuses on characterizing and predicting the behavior of complex systems using appropriate data analysis tools. We are interested in identifying early warning indicators of upcoming extreme events or critical transitions.	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).
Recent publications Detecting transitions and quantifying differences in two SST datasets using spatial permutation entropy J. Gancio, G. Tirabassi, C. Masoller, M. Barreiro Earth Syst. Dynamics 17, 533–561 (2026). Exploring the robustness of permutation entropy analysis to differentiate between closed-eyes and open-eyes resting states J. Gancio, N. Lopez, A. J. Pons, G. Tirabassi, C. Masoller Chaos 36, 063138 (2026). Recent presentation Nonlinear data analysis tools for complex systems research Autumn Meeting 2026, Brazilian Physical Society, Cuiaba, Brazil, May 2026 (plenary invited talk) Book Networks in Climate (H. A. Dijkstra, E. Hernandez-Garcia, C. Masoller and M. Barreiro, Cambridge University Press 2019, ISBN: 9781316275757)
Funding Agencia Estatal de Investigación (PID2024-160573NB-I00, 2025-2028) Doctoral Network BE-LIGHT: Improving BiomEdical diagnosis through LIGHT-based technologies and machine learning (2023-2027)

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