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).