**PhD thesis & related publications - Prof. Cristina
Masoller**

**Pablo Amil***. Machine
learning methods for the characterization and classification of complex data
(2020, DF-UPC
News)*

**P. Amil**, L. Gonzalez, E. Arrondo, C. Salinas, J. Guell, C. Masoller, U. Parlitz, Unsupervised feature
extraction of anterior chamber OCT images for ordering and classification, Sci. Rep. 9, 1157 (2019).

**P. Amil**, F. Reyes-Manzano, L. Guzmαn-Vargas,
I. Sendiρa-Nadal, C. Masoller,
Network-based
methods for retinal fundus image analysis and classification, PLoS ONE 14, e0220132 (2019).

**P. Amil**, M. C. Soriano, C. Masoller,
Machine learning
algorithms for predicting the amplitude of chaotic laser pulses, Chaos 29, 113111
(2019). Arxiv: 1911.04815.

**P. Amil**, N. Almeira, C. Masoller,
Outlier
mining methods based on network structure analysis, Front. Phys. 7, 194 (2019).

**Donatus**** Halpaap***. **Experimental
study of speckle generated by semiconductor light sources: application in
double pass imaging** (2019, co-supervised with M. Vilaseca,
DF-UPC
News)*

**D. Halpaap**, C. E. Garcia-Guerra, M. Vilaseca,
C. Masoller, Speckle reduction in
double-pass retinal images, Sci. Rep. 9, 4469 (2019).

**D. Halpaap**, J. Tiana-Alsina, M. Vilaseca, C. Masoller, Experimental
characterization of the speckle pattern at the output of a multimode optical
fiber, Opt. Express 27, 27738 (2019).

**Dario Zappala***. Hilbert
analysis of air temperature dynamics (2019, DF-UPC
News)*

**D. A. Zappala**, M. Barreiro, C. Masoller,
Global atmospheric dynamics
investigated by using Hilbert frequency analysis, Entropy 18, UNSP 408
(2016).

**D. A. Zappala**, M. Barreiro, C. Masoller,
Quantifying
changes in spatial patterns of surface air temperature dynamics over several
decades, Earth Syst. Dynam. 9, 383391 (2018).

**D. A. Zappala**, M. Barreiro, C. Masoller, Uncovering underlying regularities in
climatological data through Hilbert phase analysis, Chaos 29, 051101
(2019).

**D. A. Zappala**, M. Barreiro, C. Masoller,
Mapping
atmospheric waves and unveiling phase coherent structures in a global surface
air temperature reanalysis dataset, Chaos 30, 011103 (2020).

**Carlos Quintero-Quiroz***. Temporal
correlations and dynamical transitions in semiconductor lasers with optical
feedback (2017, co-supervised with M. C. Torrent)*

**C.
Quintero-Quiroz**,
S. Pigolotti, M. C. Torrent, C. Masoller,
Numerical
and experimental study of the effects of noise on the permutation entropy,
New J. of Phys. 17, 093002 (2015).

**C.
Quintero-Quiroz**,
J. Tiana-Alsina, J. Roma, M. C. Torrent, C. Masoller, Characterizing how complex
optical signals emerge from noisy intensity fluctuations, Sci. Rep. 6
37510 (2016).

**Ignacio Deza***. Climate networks
constructed by using information-theoretic measures and ordinal time-series
analysis (2015, co-supervised with M. Barreiro)*

**J. I. Deza**, M. Barreiro, C. Masoller,
Inferring
interdependencies in climate networks constructed at inter-annual, intra-season
and longer time scales, Eur. Phys. J. Special Topics 222, 511523 (2013).

**J. I. Deza**, C. Masoller, M. Barreiro,
"Distinguishing
the effects of internal and forced atmospheric variability in climate networks",
Nonlin. Processes Geophys.
21, 617 (2014).

**J. I. Deza**, M. Barreiro, C. Masoller,
Assessing the
direction of climate interactions by means of complex networks and information
theoretic tools, Chaos 25, 033105 (2015).

**Giulio Tirabassi***. Disentangling
climate interactions and inferring tipping points by using complex networks
(2015)*

**G. Tirabassi** and C. Masoller, On the effects of
lag-times in networks constructed from similarities of monthly fluctuations of
climate fields, EPL 102, 59003 (2013).

**G. Tirabassi**, J. Viebahn, V. Dakos, H. A. Dijkstra, C. Masoller, M. Rietkerk, S.C.
Dekker, "Interaction
network based early-warning indicators of vegetation transitions",
Ecological Complexity 19, 148 (2014).

**G. Tirabassi**, R. Sevilla-Escoboza, J. M.
Buldϊ, C. Masoller, Inferring
the connectivity of coupled oscillators from time-series statistical similarity
analysis, Sci. Rep. 5 10829 (2015).

**G. Tirabassi**, C. Masoller and M.
Barreiro, A study
of the air-sea interaction in the South Atlantic Convergence Zone through
Granger Causality, Int. J. of Climatology, 35, 3440 (2015).

**G. Tirabassi** and C. Masoller, Unravelling the community
structure of the climate system by using lags and symbolic time-series analysis,
Sci. Rep. 6, 29804 (2016).

**Taciano**** Sorrentino***. Experimental
and numerical study of the symbolic dynamics of modulated semiconductor lasers
with optical feedback (2015, co-supervised with M. C. Torrent)*

**T.
Sorrentino**,
C. Quintero-Quiroz, A. Aragoneses, M. C. Torrent, C. Masoller, The
effects of periodic forcing on the temporally correlated spikes of a
semiconductor laser with feedback, Optics Express 23, 5571 (2015).

**T.
Sorrentino**,
C. Quintero-Quiroz, M. C. Torrent, C. Masoller, Analysis of the spike
rate and spike correlations in modulated semiconductor lasers with optical
feedback, IEEE J. Sel. Top. Quantum Electron. 21, 1801107 (2015).

**Andres Aragoneses***. Experimental
study of feedback-induced dynamics in semiconductor lasers: from symbolic
analysis to subwavelength position sensing (2014, co-supervised with
M. C. Torrent)*

**A. Aragoneses**, N. Rubido, J. Tiana-Alsina, M. C. Torrent, C. Masoller,
Distinguishing
signatures of determinism and stochasticity in
spiking complex systems, Sci. Rep. 3, 1778 (2013).

S. D. Cohen, **A. Aragoneses**, D. Rontani,
M. C. Torrent, C. Masoller, D. J. Gauthier, Multidimensional
subwavelength position sensing using a semiconductor laser with optical feedback,
Opt. Lett. 38, 4331 (2013).

**A. Aragoneses**, T. Sorrentino, S. Perrone,
D. J. Gauthier, M. C. Torrent, C. Masoller, Experimental
and numerical study of the symbolic dynamics of a modulated external-cavity
semiconductor laser, Optics Express 22, 4705 (2014).

**A. Aragoneses**, S. Perrone, T. Sorrentino,
M. C. Torrent, C. Masoller, "Unveiling
the complex organization of recurrent patterns in spiking dynamical systems",
Sci. Rep. 4, 4696 (2014).

**Sandro Perrone***.
Exploiting nonlinearity and noise in optical tweezers and semiconductor lasers:
from resonant damping to stochastic logic gates and extreme pulses (2014,
co-supervised with R. Vilaseca)*

**S. Perrone**, R. Vilaseca, C. Masoller, Stochastic
logic gate that exploits noise and polarization bistability
in an optically injected VCSEL, Opt. Express 20, 22692 (2012).

**S. Perrone**, R. Vilaseca, J.
Zamora-Munt, C. Masoller, Controlling the
likelihood of rogue waves in an optically injected semiconductor laser via
direct current modulation, Phys. Rev. A 89, 033804 (2014).

**Jordi Zamora-Munt***. Nonlinear and stochastic dynamics
of semiconductor lasers: modulation, transient dynamics and synchronization
(2011, co-supervised with J. Garcνa Ojalvo).*

**J.
Zamora-Munt**
and C. Masoller, Generation
of optical pulses in VCSELs below the static threshold using asymmetric current
modulation, Optics Express 16, 17848-17853 (2008).

**J.
Zamora-Munt**,
C. Masoller, J. Garcia-Ojalvo,
Transient
low-frequency fluctuations in semiconductor lasers with optical feedback,
Phys. Rev. A 81, 033820 (2010).

**J.
Zamora-Munt**
and C. Masoller, Numerical
implementation of a VCSEL-based stochastic logic gate via polarization bistability Opt. Express 18, 16418-16429 (2010).

**J.
Zamora-Munt**,
C. Masoller, J. Garcνa-Ojalvo,
R. Roy, Crowd
synchrony and quorum sensing in delay-coupled lasers, Phys. Rev. Lett.
105, 264101 (2010).