Ongoing projects - Prof. Cristina Masoller
You can find information about finished
projects here
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Desafíos en el analisis de datos de sistemas
complejos: desde la física y las aplicaciones del láser hasta el cerebro y el
clima 2025-2028 Agencia Estatal de Investigación
PID2024-160573NB-I00 Description: The general purpose of this project
is to advance the understanding and forecast of dynamical complex systems by using
and further developing appropriate data analysis tools, with the ultimate
goal of exploiting these tools for novel applications. The project combines experiments,
simulations and data analysis. A main challenge that we aim to address is to
find experimental conditions in which two mutually coupled semiconductor
lasers respond to weak external inputs, as neurons do. A second challenge is
to develop efficient data analysis tools to decipher the information encoded
in the spikes emitted by the lasers. A third challenge is to test the
performance of the data analysis tools developed for the laser spikes in
real-world signals, using a point-process approach based on defining events
in the signals, with the goal of obtaining new features that carry reliable information
about approaching regime transitions or extreme fluctuations. In addition to
experimental data generated in our laser lab, we will analyze biomedical and
climatological data that are publicly available in research repositories. |
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Information Processing and Sensing with Photonic
Neurons 2024-2027 European Office of Aerospace Research and Development (EOARD) USA,
FA8655-24-1-7022 Description: The goal of this
project is to develop a new solution for energy-efficient information
processing. In these days when artificial intelligence (AI) systems consume
enormous amounts of energy and computing power is reaching the limits of
digital electronics, new disruptive approaches are urgently needed. Neurons
can, with extremely low power consumption, perform tasks that go far beyond
the state of the art of AI systems. Efficient neural coding mechanisms are
responsible for this amazing performance. Photonic neurons are optical
systems with ultra-fast neuron-like spiking outputs. This project aims to
implement in photonic neurons the mechanisms by which neurons encode
information. We propose the development of laser systems and algorithms that
accurately mimic neural information processing. At the hardware level, using
commercial diode lasers (that are highly efficient, fast and low cost) we
will build photonic neurons capable of using neural coding mechanisms for
computation and sensing. To develop specialized photonic neurons that
selectively respond to external inputs, we will conduct experiments and
simulations to find conditions in which diode lasers respond to weak inputs,
as neurons do. At the software level, we will develop new data analysis tools
to decipher the information encoded in the emitted sequences of optical
spikes. |
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Doctoral Network BE-LIGHT: Improving BiomEdical
diagnosis through LIGHT-based technologies and machine learning 2023-2027 European Commission, HORIZON-101119924 Description: Photonics is crucial for maintaining and increasing the
competitiveness of EU industry, and light-based instruments are fundamental
for non-invasive diagnostics and treatment of diseases, delivering huge
economic benefits for national health systems. Artificial Intelligence (AI)
and Machine Learning (ML) have demonstrated their capability to classify and
identify patterns in data, achieving reliability levels that are comparable
to those of experienced physicians. To fully develop the potentials of these
technologies, Doctoral Network BE-LIGHT will train 11 Researchers in photonic
technologies (multispectral imaging, eye-tracking, optical coherence
tomography, multispectral optoacoustic tomography, superresolution microscopy
and optogenetics) that will be complemented with AI/ML, computational imaging
and modelling. A close-to-the-clinic approach will allow them to advance the
field of biomedicine, with the ultimate goal of improving the understanding,
diagnosis and treatment of diseases in 3 main research areas: visual health,
cardiovascular health, and analysis of cells and tissues (related to
Parkinson’s and rare diseases) using super-resolution microscopy. BE-LIGHT
brings together an interdisciplinary consortium of 7 top academic
institutions, 3 internationally recognized hospitals, and 7 companies with
complementary know-how in photonics, microscopy, AI/ML, medical instruments
and clinical research, to promote inter-sectoral synergies. BE-LIGHT’s
training program will provide the researchers with the complete set of skills
that are nowadays key for their success in both academic and non-academic
sectors. They will gain a broad understanding of how state-of-the-art
light-based technologies work, a solid knowledge of ML and data processing,
and will obtain experience in clinical and commercialization processes.
BE-LIGHT will open for them a wide range of high-quality job opportunities.
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ICREA ACADEMIA 2021-2025 Catalan Institution for Research and Advanced Studies (ICREA),
Generalitat de Catalunya. Description: ICREA Academia is a grant for professors who have permanent
positions in Catalan universities, to reduce their teaching load and
intensify their research activities.
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