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Prof. Cristina Masoller’s research projects

A)                  Ongoing grants

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

 

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.

Archivo:Logotipo del Ministerio de Ciencia, Innovación y ...

 

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

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)

 

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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).

 

 

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).

 

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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