Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Entanglement and Quantum Engineering with optical Microcavities (EQUEMI)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: France
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2015-10-01
End date: 2021-09-30
Duration (months): 72.0
Total project cost (EUR): 2422750.0
EU funding (EUR): 2422750.0
Participants: 2
Project status: CLOSED

I propose to leverage the unique properties of optical fiber Fabry-Perot (FFP) microcavities pioneered by my group to advance the field of quantum engineering. We will take quantum-enhanced measurement from its current proof-of-principle state to a true metrological level by applying cavity-based spin squeezing to a compact atomic clock, aiming to improve the clock stability beyond one part in 10^-13 in one second. In a new experiment, we will generate multiparticle entangled states with high metrological gain by applying cavity-based entanglement schemes to alkaline earth-like atoms, the atomic species used in today’s most precise atomic clocks. In a second phase, a miniature quantum gas microscope will be added to this experiment, creating a rich new situation at the interface of quantum information, metrology, and cutting-edge quantum gas research. Finally, we will further improve the FFP microcavity technology itself to enable novel atom-light interfaces with a currently unavailable combination of strong coupling, efficient fiber coupling, and open access. This will open new horizons for light-matter interfaces not only in our experiments, but also in our partner groups working with trapped ions, diamond color centers, semiconductor quantum dots, carbon nanotubes and in quantum optomechanics.

Keywords: microcavities,atom chips
Large Deviations and Measure Rigidity in Dynamics (LDMRD)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

The proposition aims to develop new tools in ergodic theory and dynamical systems, and explore applications to problems related to mathematical physics, geometry and arithmetics. The first general objective is to advance large deviation theory for non-compact dynamical systems. We plan to deduce new subexponential large deviation bounds for Gibbs measures on the countable Markov shift and explore how these results are linked to applications such as Pomeau-Manneville dynamics describing intermittence in the theory of turbulent flows, dynamical properties of the Gauss map, which is deeply connected to Diophantine approximation, and homogeneous dynamics such as the Teichmüller flow on translation surfaces. The second general objective is to investigate Host-type measure rigidity theory for toral automorphisms and homogeneous dynamics. This topic relates to currently ongoing research on measure classification theorems, which have been influential in several applications such Diophantine approximation and quantum ergodicity.

Keywords: large deviations,countable markov shift,pomeau manneville dynamics,homogeneous dynamics,measure rigidity,scenery flow,toral automorphisms
Ion Channels and Receptors Operation (ICaRO)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-06-13
End date: 2018-06-12
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 1
Project status: CLOSED

Our understanding of ion channel operation is limited to inferences based on functional data and to static snapshots of their structures where they are available. Cyclic nucleotide-modulated channels and calcium-activated K+ channels play crucial roles in a myriad of physiological processes ranging from signal transduction to neuronal excitability. The binding of ligands to specialized intracellular domains modulates the opening/closing (gating) equilibrium of these channels. Both the high resolution structures - in open and closed conformation - of these channels and the precise mechanism of ligand-mediated channel activation are unknown. The present proposal aims to understand the mechanism of ion channel modulation by ligands. To accomplish this goal we will utilize prokaryotic homologues of these channels reconstituted in artificial membranes. High-speed atomic force microscopy (HS-AFM) will allow us to directly observe individual ion channel molecules in action at high spatiotemporal resolution and in physiological conditions. Through UV-laser pulses caged ligands (caged-Ca2+ or caged-cAMP) will be liberated during HS-AFM imaging and the conformational changes associated to ligand binding monitored in real time. Differences between liganded and unliganded channel structures will provide insight into the mechanism of ligand gating. The obtained data will be compared to single channel current recordings under comparable conditions.

Keywords: ion channels,atomic force microscopy,gating
Nutritional biomarkers to advance understanding of association between diet and type 2 diabetes (NUTBIO-DIAB)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-03-01
End date: 2018-02-28
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Objectives: There is an unabated rise in the burden of type 2 diabetes (T2D) with associated premature morbidity, mortality and cost to individuals and society. There is an urgent need to identify modifiable factors that can prevent T2D. This Fellowship aims to use objectively measured nutritional biomarkers to improve the precision of dietary assessment for investigating the association between dietary factors and T2D risk. The use of biomarkers opens the possibility to investigate gene/diet interactions, which can lay the foundation for future stratified or personalised nutrition, and to address causality of associations using genetic-based approaches. Method: Measurement of plasma vitamin C, six carotenoids and 25-hydroxyvitamin D is now complete in the EPIC-InterAct study across 26 centres within 8 European countries in the world’s largest study of T2D incidence with 12,403 new-onset T2D cases, and a random sub-cohort of 16,835 individuals. We will examine the distribution and determinants of these nutritional biomarkers within European populations and investigate the association between biomarkers and T2D, and biomarker-gene interaction on T2D. Combining these data with other studies, we will use Mendelian randomisation to examine potential causal association of biomarkers with T2D. Relevance: Diet and nutrition are crucial for the prevention of non-communicable disease including T2D, but measurement error in self-report dietary assessment has posed a major challenge in identifying specific dietary components that elevate or mitigate disease risk. The systematic use of nutritional biomarkers on an unprecedented scale opens up an important new frontier to advance diet/health research. Specifically, this proposal will clarify the distribution and determinants of important biomarkers within European populations and as well as increasing aetiological understanding, will enable the estimation of the population impact of dietary factors on avoiding new cases of T2D

Keywords: nutritional biomarker,epidemiology,type 2 diabetes,mendelian randomisation,gene nutrient interaction,population impact
With data-driven modelling towards a successful energy transition (DAMOSET)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-06-01
End date: 2021-05-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

The power grid is an integral part of the power system. It connects all electrical consumers with generators and powers everything from household appliances to large factory machinery. Without this grid, farmers would not be able to feed their animals, car factories would come to a halt, mobile phone systems would fail and many of us would not even be able to make a cup of tea. While the current power system is very reliable and offers a high quality of service, it remains unclear how this will develop in the future. The limited supply of fossil fuels as well as necessary reduction of CO2 emissions to mitigate climate change, will eventually lead to a power grid mainly supplied by renewable generators, such as wind and solar plants. These plants output smaller total power so that a large number is necessary which have to be geographically distributed for optimal weather conditions. The current power grid system slowly emerged within several decades of optimization processes. However, now we are discussing how to revolutionize the whole energy system within years. Therefore, a fundamental understanding of the current power system is necessary to develop potential pathways to a future 100% sustainable system. In the proposed research, I will use data-driven approaches to work towards a quantitative understanding of fluctuations in the power grid, as they are for example introduced by the changing demand or volatile energy generation. I will analyse the British as well as international grids to understand differences in grid operation and potential solutions for grids. A key goal of the proposed project is to offer a data base of these measurements for the scientific community to analyse and to add to. Within this project, I will also develop analysis tools to be used by the scientific community as well as interested companies or government agencies.
Unified computational solutions to disentangle biological interactions in multi-omics data (FindingPheno)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Biotechnology
Action type: Research and Innovation actions
Countries involved: Germany,Finland,Hungary,Denmark,Denmark,Portugal,United Kingdom,Denmark
Call: Multi-omics for genotype-phenotype associations (RIA) (H2020-NMBP-TR-IND-2020-twostage, 2020)
Start date: 2021-03-01
End date: 2025-02-28
Duration (months): 48.0
Total project cost (EUR): 5793085.0
EU funding (EUR): 5793085.0
Participants: 8
Project status: SIGNED

Animal and plant microbiome functions can be modulated, and thereby optimized, for sustainable food production. However, the outcome, i.e., the microbial response, can vary greatly depending on (e.g.)Animal and plant microbiome functions can be modulated, and thereby optimized, for sustainable food production. However, the outcome, i.e., the microbial response, can vary greatly depending on (e.g.) the genetic background and developmental stage of the host, and the farming environment. The interactions between the biological process of the host and their microbiome are still only superficially understood, even though microbial interventions have been used for years. This incomplete understanding means that new attempts to improve microbiome functions are both inefficient and costly, and unlikely to hit upon the optimal solutions. An approach that recognizes the intimate biological interactions between host genome and microbiome functions holds the potential to greatly reduce cost and improve the outcome. To that end, FindingPheno will develop a holistic statistical framework to decipher biomolecular interactions between host and microbiome by combining biological knowledge and state-of-the-art statistical methods: structural causal modelling, variable selection, dimensionality reduction and feature detection. We will then apply the framework to case studies from actual food production systems, using a unique multi-omics data set from three biological systems – chicken, salmon and maize – derived from ongoing research projects. In addition, we demonstrate the utility of the framework to obtain biological insights from publicly available data sets from tomato and bees. We expect to show how to improve the effectiveness of microbiome interventions in sustainable food production, and simultaneously, we will offer avenues for quick and easy application of this new approach to other relevant biotechnology-based industries, e.g. enzyme production and fermentation.

Keywords: host microbiome interactions,food systems,genotype phenotype association,holistic integration,spatial and temporal processes,statistical modelling
Chemical Composition characterization of air pollution (aerosols and gases) on the basis of nonlinear multi-channel lidar experiments (CAPABLE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-02-01
End date: 2019-01-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

CAPABLE’s long term objective is to develop a complex lidar spectrometer that allows us to measure vertically resolved profiles of trace gases, chemical components in particles, and bio-aerosols in atmospheric aerosol pollution. This information can be used for studies of the effect of the vertical distribution of aerosol and gas pollution on climate forcing, air quality, and human health. Impact on economically sensitive areas like air traffic safety caused by, e.g. volcanic plumes and desert dust, will be a spin-out product of our work. This lidar spectrometer will be based on simultaneous, vertically and spectrally resolved measurements of Raman and photoluminescence (PL)/fluorescence spectrums. In the first stage we develop the technique to the point that we can identify some of the most important climate-relevant aerosol components in a qualitative manner and we will develop computer models that will allow us to verify our measurement results on the basis of theoretical simulations. The models will form an end-to-end simulator that will allow us to develop and design the basic concepts of a Raman and PL spectroscopy lidar and necessary hardware specifications and explore the detection limits for the mobile measurement channel that can be installed in existing lidars. In the second stage, which can in part be achieved in this twoyear funding period we want to improve the methodology so that we can quantify at least some of the components, preferably to the level of profiles of mass concentrations measured under ambient atmospheric conditions. The third stage, which goes beyond the main purpose of our project, will explore the concept of Coherent anti-Stokes Raman spectroscopy (CARS) for chemical aerosol characterization. CARS could allow for detection of atmospheric pollutants with significantly higher sensitivity, and thus result in much shorter data integration times.

Keywords: lidar,remote sensing,chemical characterization,aerosols,trace gases,air pollutions,raman,scattering,photoluminescence,fluorescence,coherent anti stokes raman spectroscopy
IMage BAsed Landing Solutions (IMBALS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Belgium,Belgium,Belgium,France,Canada,Portugal
Call: Image based landing solutions for Disruptive Cockpit concept (H2020-CS2-CFP06-2017-01, 2017)
Start date: 2018-03-01
End date: 2022-12-31
Duration (months): 58.0
Total project cost (EUR): 2509922.14
EU funding (EUR): 1919852.49
Participants: 6
Project status: SIGNED

The IMBALS project aims to develop, validate and verify a certifiable Image Processing Platform (IPP) and demonstrate it in a Vision Landing System (VLS) that is capable of autolanding the Large Passenger Aircraft (LPA) based on images supplied by a camera system and without support of ground based precision instrument landing aids. The VLS will additionally enhance the situational awareness for the crew during any autolanding by supporting a Combined Vision System (CVS) based HMI in the Disruptive Cockpit. The project will start from the Concept of Operations (CONOPS) of the Disruptive Cockpit and VLS in particular and derive from there the requirements for VLS as system and the IPP as equipment within that system. The IPP technology bricks will be prototyped, validated and finally integrated to an IPP prototype. The IPP prototyped will be verified against its requirements, integrated in the Disruptive Cockpit simulator and evaluated in operational scenarios and finally, the IPP will be integrated with a camera system on a flight test bed to evaluate its performance in real flight. The project will put a strong emphasis on safety and certifiability of the system, including addressing the challenges of certifying the image processing algorithms. The IMBALS project is conducted by a heterogeneous consortium of a large and two small specialized and highly skilled industry entities in close collaboration with the University of Leuven, highly recognized in vision based 3D motion control for robotics and with Airbus as the topic leader. IMBALS is prone to have a direct positive impact on global aviation safety and mobility, competitiveness of the EU aeronautical industry, the global environmental impact of aviation, the competitiveness of the industrial partners, the scientific knowledge within the university and the employment in Europe in general.

Keywords: image processing,vision landing system,enhanced situational awareness,autolanding,certification,safety,bayesian algorithms,unmanned system,disruptive cockpit,human machine interface
A clinical phonetics laboratory service (PhonLab): diagnostics of speech impairment via the web (PhonLab)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Germany
Call: ERC-Proof of Concept-2016 (ERC-2016-PoC, 2016)
Start date: 2017-06-01
End date: 2018-11-30
Duration (months): 18.0
Total project cost (EUR): 146130.0
EU funding (EUR): 146130.0
Participants: 1
Project status: CLOSED

In line with present trends to expand eHealth in medical care, this project‘s objective is to provide a commercial web-based service for the automatic diagnosis of impaired speech, given a sample of the client’s speech transmitted over the internet. Currently, speech therapists are required to diagnose speech impairments from only a pen and paper analysis of transcriptions based on auditory impressions. The main advantage of the innovative approach of this project is to quantify the production of speech in time according to the scientific state of the art, which is well beyond the scope of presently used impressionistic, auditory techniques. This will be implemented by enhancing a prototype web-based system with software created during the PI’s ERC Advanced Grant for processing acoustically multilingual adult and child speech data. The overall long-term vision is to provide a web-based resource for diagnosing speech disorders from anywhere with access to a microphone and internet connection. As a first step, the proof-of-concept (PoC) will initiate a start-up process to bring this resource, known as PhonLab, to the point of commercialisation in Germany. The work plan of the PoC consists in (1) the development of a business plan based on PhonLab’s likely usage and associated revenue (2) technically enhance PhonLab’s automatisation and user-friendliness (3) developing a promotion strategy towards potential users and clients. The proximate economic benefits lie in the low costs and the rapidity of diagnosis even to remote places. In the long run, PhonLab has therefore also the potential to provide speech therapists in disadvantaged areas of the world with easy access to state-of-the-art techniques for diagnosing speech impairments

Keywords: language pathologies diagnostic tools health services speech disorders