Prof. Cristina Masoller’s research projects
A)
Ongoing grants
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Marie Curie ITN CAFE: Climate
advanced forecasting of sub-seasonal extremes (March 2019-February
2023, H2020-813844) Partners: Centre de Recerca Matemàtica (Spain, Coordinator), Univ. Politècnica de Catalunya
(Spain), Technische Universitaet
Bergakademie Freiberg (Germany), Potsdam Institut für Klimafolgenforschung(Germany), Aria Tech. (France), Meteo-France, CSIC (Spain), Max-Planck-Institute For Complex Systems (Germany), Universidad de la República (Uruguay), European Centre for Medium-Range
Weather Forecasts (UK). Description: Forecasting climatic extreme events on the sub-seasonal
time scale (from 10 days to about 3 months) is very challenging because of
the poor understanding of the phenomena that may increase predictability in
this time scale. The goal of the CAFE project is to improve the sub-seasonal
predictability of extreme events by training of 12 PhD students in a wide
range of interdisciplinary topics including climate science, complex systems
and data analysis.
CAFE Kick-off meeting, Mallorca, Spain,
March 2019
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Complex dynamical
systems and advanced data analysis tools (2019-2021, PGC2018-099443-B-I00) Funding: Ministerio de
Ciencia, Innovación y Universidades, Spain Description: The aim of this project is to improve the understanding
of nonlinear phenomena in complex systems by the use of various data analysis
tools, with the long-term goal of exploiting nonlinear phenomena for
applications. The research is interdisciplinary and involves experiments,
simulations and data analysis.
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ICREA ACADEMIA (2016-2020) Funding: Institució
Catalana de Recerca i Estudis
Avançats (ICREA), Generalitat de Catalunya. The ICREA Academia is a grant for professors that have permanent
positions in Catalan universities. By providing funding to hire teaching
assistants, the grant allows Prof. Masoller to
reduce the teaching load and to intensify research activities.
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B)
Finished grants
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Marie Skłodowska-Curie Innovative Training Network BE-OPTICAL:
Advanced biomedical imaging and data analysis (October 2015-September 2019,
H2020-675512) Coordinator: Prof. Cristina Masoller Partners: Universitat Politècnica
de Catalunya (Spain); Georg August University
(Germany); Max Planck Institute for Dynamics and Self-Organization (Germany);
University of St. Andrews (U.K.); Institut de Microcirugia Ocular (Spain); Centre de Nanosciences et de Nanotechnologies (France); Nicolaus
Copernicus University (Poland); University of Glasgow (U.K.); PicoQuant Innovations GmBH
(Germany). Description: Biomedical imaging is a research field that is producing
ground breaking scientific discoveries that improve our life quality, and
have a huge economic impact. To advance this field, is crucial to invest in
the new generation of researchers. BE-OPTICAL provided top-level training to
14 PhD students, in a wide range of imaging technologies and signal
processing tools. BE-OPTICAL brought together an interdisciplinary team of
physicists, engineers and medical doctors, with complementary expertise. The goals and results of the research projects of the PhD students
supervised by Prof. C. Masoller were: - Donatus Halpaap: to develop new approaches for reducing speckle in double pass images.
PhD thesis: Experimental
study of speckle generated by semiconductor light sources: application in
double pass imaging (2019, co-supervised with M. Vilaseca, DF-UPC
News) Publications: 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). - Pablo Amil: to develop novel
algorithms for the analysis and classification of complex biomedical images. PhD thesis: Machine
learning methods for the characterization and classification of complex data
(February 2020, DF-UPC
News) Publications: P. Amil, L. Gonzalez, E. Arrondo, et al. Unsupervised feature extraction of anterior
chamber OCT images for ordering and classification Scientific Reports 9, 1157
(2019). This work was featured in local and national newspapers (read more here). P. Amil, F. Reyes-Manzano, L. Guzmán-Vargas, I. Sendiña-Nadal and C. Masoller Network-based methods for retinal
fundus image analysis and classification PLoS ONE 14, e0220132
(2019). P. Amil, N. Almeira, C. Masoller Frontiers in Physics 7, 194
(2019). Outlier mining methods based on
network structure analysis
Members of UPC team (Terrassa,
Barcelona, October 2016)
Participants of the first
BE-OPTICAL school (Gottingen, Germany, November 2016) BE-OPTICAL was featured in national and local
newspapers (Nov. 2016): La Vanguardia, El Periodico, Diario de Terrassa BE-OPTICAL was featured in the Success
Stories web page of the European Comission (Sep. 2017).
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Complex physical and
biophysical systems: towards a comprehensive view of their dynamics and
fluctuations (2016–2018
FIS2015-66503-C3-2-P) Funding: Ministerio de
Economía y Competitividad, Spain. Partners: Universitat
Pompeu Fabra (coordinator); Universitat de
Barcelona; Universitat Politecnica
de Catalunya. Description: This project studied a wide range of stochastic and
complex systems that exhibit nonlinear phenomena, such as excitability or
extreme fluctuations.
Workshop on Recent Advances on
Stochastic and Nonlinear Dynamics of Complex Systems, organized at the end of
the project, in honor of Prof. Carme Torrent (Terrassa, Barcelona, Spain,
February 4, 2019).
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Marie Curie Initial Training Network (ITN) LINC: Learning about Interacting
Networks in Climate (2011-2015, FP7-289447) Coordinator: Prof. Cristina Masoller Partners: Universitat Politècnica de Catalunya (Spain);
Potsdam Institute for Climate Impacte Research (Germany); Bar-Ilan University
(Israel); Utrecht University (The Netherlands); Universidad de la Republica
(Uruguay); Universitat de les Illes Balears (Spain); Climate Risk Analysis
(Germany); Ambrosys (Germany); Vortech (The Netherlands). Description: LINC trained 12 PhD students and 3 posdocs
in the interdisciplinary set of skills required to undertake a successful
career in physics and geosciences with expertise in climatology, networks and
complex systems. The results of the project were published in the European Commission
web page (Oct. 2016) and are contained in the book “Networks in Climate”,
published by Cambridge University Press, ISBN 9781316275757, 2019.
Final
LINC conference, Viena, Austria, 2015
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