Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet ANSWER (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

To achieve the European Union's green transition goal, solar photovoltaic (PV) and wind energy are widely adopted, which pose great challenges to the reliability and safety of existing energy systems. The state-of-the-art methods mainly concentrate on the prediction of a single energy form, either wind or solar. There is limited research on joint forecasting for wind-solar energy due to the challenges of data heterogeneity and data silos for different wind farms and solar PV plants. This project develops a heterogeneous distributed prediction model for joint wind-solar energy production (ANSWER), based on heterogeneous data sources at different wind farms and solar PV plants. A global model will be generated by the fusion of heterogeneous models from all wind farms and solar PV plants, coordinated by a central server. To achieve the research goal, this project proposes four work packages, including 1) development of model specifications, which use a two-level structure:client-level and server-level, 2) development of a generic seamless forecasting client model that supports multiple time-scale and -horizon prediction, 3) model aggregatioin for heterogeneous client models, and 4) model deployment and evaluation in a living lab for the robustness of the proposed ANSWER model. This proposal ANSWER specifies the resources needed for this project, including the quality and capacity of the host university, mentors, data, and experimental facilities. This project will enhance the scientific skills and innovation capability, expand research horizons, and establish research collaborations of the applicant. A two-way knowledge transfer approach in energy big data, distributed modeling and energy system analysis is proposed to ensure benefits between the applicant and the host university. The proposed model will make a significant contribution to the state of the art in renewable energy (wind and solar) production forecasting and the EU climate goals.

Mots clés : wind solar energy, data driven, heterogeneous distributed modeling, production forecasting

Participants :
- Université technique du Danemark (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 230774.4 €
Projet DOEP (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Health benefits of oils rich in polyunsaturated fatty acids, such as algae oil, have surged researchers to find efficient ways to deliver these oxidation-prone oils into food products. One of the hottest areas in this regard is the incorporation of the oils in oil-in-water emulsions; however, the emulsions are physically and oxidatively unstable upon storage, leading to quality deterioration in the final product. The present study is thus an attempt to stabilize these delivery systems by reducing droplet sizes and forming the so-called nano-emulsions as well as taking such measures as the encapsulation of the oil and incorporation of antioxidant peptides from seaweeds. Another state-of-the-art measure is the use of bioactive peptides purified from seaweed in a complex with a cationic surfactant as Pickering particles to form stable PUFA-rich oil delivery systems. The emulsions, either in encapsulated or non-capsulated forms, will then be introduced into oat milk to produce marine oil-enriched vegan food. A unique characteristic of this research is that bioactive agents will be purified from Palmaria palmata, a seaweed found in Denmark, which can contribute to attaining sustainable development in food technology. In this sense, one of the most restricting obstacles to using natural peptides is their bitterness; the present study tries to reduce or ideally remove bitterness by electrospraying the emulsions containing these peptides. This interdisciplinary research will pave the way for prospective researchers to consider the possibility of delivering healthy oil into vegan societies’ food baskets through efficient means in a way that taste and odour of the final products are not sacrificed for this purpose. The gained expertise in the present project will provide great job opportunities for the applicant because an ever-increasing number of food producers are seeking experts in the field of reducing lipid oxidation in their products and producing enriched vegan foods.

Mots clés : food technology, algae oil, nano emulsion, pickering emulsion, omega 3 fortification, seaweed peptide purification, physical and oxidative stability, vegan food, microencapsulation, electrospraying

Participants :
- Université technique du Danemark (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 230774.4 €
Projet FloatingWindExcel (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The Floating Offshore Wind Turbine (FOWT) industry has rapidly grown from 2.3MW in 2009 to an impressive 15MW by 2023, with plans for larger 20MW and 25MW capacities. This growth poses challenges in cost, fabrication, manufacturing, and installation due to increased floater size and weight. Low to medium-fidelity hydrodynamic engineering models and higher safety factors are one of the reasons for this surge. High-fidelity models offer the most accurate representation of the underlying physics, minimizing approximations, however, they come with high computational costs. Our primary objective is to adopt high-fidelity CFD-based hydrodynamic models by significantly reducing computational time using the SWENSE and integrating them into aero-elastic solvers for FOWT analysis. This methodology involves decomposing the velocity field into incident and complementary velocity fields and solving only the complementary velocity field in the CFD domain, saving significant computational time. The developed solver will be systematically upgraded (four work packages) from single floating body to multi-body FOWT simulations. The resulting solver will play a pivotal role in unraveling the aero-hydro-structural behavior of FOWT systems during extreme wave interaction, fostering advancements in Operation and Maintenance research, and effectively addressing technical knowledge gaps in the FOWT field. There will be experiments to analyze boat-FOWT interaction as well as to evaluate the developed solver. My host institution runs the renowned Aeroelastic tool HAWC2, and my supervisor is a world-renowned expert in the numerical development of FOWT and physical model testing. He is well-suited to mentor this project with his expertise in both hydrodynamics and aeroelasticity. This endeavor will bridge the gap in my expertise, transforming me from a Hydrodynamicist into an overall floating wind energy specialist, while gaining a knowledge base from aerodynamics and aeroelasticity.

Mots clés : wind energy, offshore, floating wind turbines, cfd, openfoam, multibody interaction, multi fidelity, aeroelastic, hawc2, openfast, mooring, fowt, swense, waves

Participants :
- Université de Roskilde (Danemark) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université technique du Danemark (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 230774.4 €
Projet TESCCO (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

The TESCCO project aims at offering a comparative study on the methods for teaching science implemented by the Jesuits at the end of the 17th century during their missions in China and North America, to show that the harmonization between religious motives and motives connected to cultural dissemination found in their activities couldn’t have been possible without a serious and wider philosophical reassessment of the role of science and its teaching throughout Europe. This study will cast a new light on the domination strategies adopted during the Colonial Era, connecting consistently for the first time the scientific developments of the early modern period with the many attempts of subjugation and cultural appropriation made at that time on behalf of a (supposed) superior and exclusive knowledge. The interdisciplinarity of this project, which combines the history of science and science teaching, history of philosophy, and sociology is further complemented by a theoretical part that aims at rising awareness of the overlooked connection between the foundation of science and how it is taught to others. By promoting a healthy distinction between raw scientific data and the historical context in which it has been collected, the TESCCO project has the ambition of becoming relevant nowadays as a starting point for a discussion on the role of science as a by-product of the European culture and on how this assumption is seen in the exchanges with other cultures. This project, hosted by Ca' Foscari University of Venice and by the Department of Philosophy at Harvard University, will be crucial to expanding my knowledge and my expertise as a researcher, thanks to the collaboration with my supervisors and the exchange with other researchers involved in ground-breaking projects on early modern science. It will also be a fundamental step in the development of my career, helping me obtain a permanent position at Ca' Foscari University or another European institution.

Mots clés : history of mathematics, history of education, social and cultural history, cultural exchanges

Participants :
- Conseil national de la recherche (Italie) — Partner, associated partner, Recherche, subvention : 0.0 €
- Université Harvard (Etats-Unis) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université Ca' Foscari de Venise (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 288859.2 €
- Université Paris Cité (France) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet TimeToConnect (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

Several neurodevelopmental disorders such as autism spectrum disorder and schizophrenia have their roots in aberrant circuit formation. Hence, understanding the principles underlying neuronal connectivity bears fundamental implications for the treatment of these diseases. However, these principles are not well understood, partly due to the lack of information about how developmental processes affect connectivity. While previous research has primarily relied on the study of wiring genes, it has become increasingly clear that expression of these alone cannot explain circuit formation, and hence developmental time (i.e., when neurons are born) is likely to play an important role. To address the role of developmental time in circuit formation, I will perform the first comprehensive study of how birth date relates to connectivity in an entire neuronal structure. To do so, I will use the genetically accessible Drosophila visual system and study how neurons generated at the same time from two different progenitor regions connect to each other during development. I will use cutting-edge single-cell RNA sequencing of one of these regions at neurogenesis stages to determine the identity of the neurons generated and their birth order. Taking advantage of the existing whole fly brain connectome, I will identify their synaptic partners from the other progenitor region, for which the birth order is known. Performing precise genetic manipulations to uncouple birth date and molecular identity, I will address the role of both components in correct partner matching. Moreover, I will generate the first scRNA-seq datasets of Musca domestica and Aedes aegypti visual systems during neurogenesis and perform circuit mapping to determine whether the mechanisms uncovered in Drosophila are conserved. This ambitious project will shed light into the mechanisms of circuit connectivity during development and evolution, likely providing insights into the regulators that go awry in disease.

Mots clés : brain development, neuronal connectivity, temporal patterning, drosophila, neuronal birth date, neural stem cells, visual system

Participants :
- Centre national de la recherche scientifique (France) — Coordinator, beneficiary, Recherche, subvention : 195914.88 €
- Université Paris Cité (France) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet HEDGE-A (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

HEDGE-A will address one of the current main challenges of biopharmaceutical production: The scalability of the recombinant adeno-associated virus (rAAV) production process. Big Data approaches like transcriptomic and proteomic analyses will be used together with synthetic biology tools to engineer cell cultures and improve rAAV production. The objectives of HEDGE-A are to design (1) a suitable cell platform to sustain transfection at high cell densities and (2) a scalable upstream bioprocess to improve rAAV biomanufacturing. Access to gene therapy is currently extremely limited due to the high cost of producing rAAVs, leading to expensive treatments and making it virtually inaccessible for the general population or even for diseases requiring high dosage. The main limitation is the poor scalability of the current rAAV production process. HEDGE-A will delve into the molecular limitations of the cellular platform and provide a solution to reduce costs, increase titers and help rAAV-based gene therapies reach the wider population. A cost-effective production process for rAAVs will have a high impact in EU competitiveness as it will open the market for countless gene and cell therapies that are currently non-viable due to the required titers to reach clinical trials. HEDGE-A will present the perfect opportunity for the applicant to join a cutting-edge working environment to fulfil his potential in cell engineering and bioprocess development. The host centre, DTU (Copenhagen) is a leading expert in the field and can provide the essential network to undertake a project like HEDGE-A, bridging academic research and its industrial application.

Mots clés : recombinant aav production, cell culture engineering, cho cells

Participants :
- Université technique du Danemark (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 214934.4 €
Projet TOPEX (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : CLOSED

Light-matter interaction in nanophotonic waveguides is enhanced by tightly confining and slowing down light. However, both these strategies have had their own limitations. Firstly, the spatial confinement has traditionally been thought to be bound at the diffraction limit and more recently limited by nanofabrication resolution. Secondly, backscattering due to unavoidable structural disorder has limited progress in the field of slow light. TOPEX will overcome these limitations by merging two recent developments in photonics: topological protection against disorder and extreme subwavelength confinement of light. Based on theoretical predictions of the applicant and cutting-edge nanotechnology only at experimental reach at the host institution, TOPEX will design, build, measure, and explore topological slow-light nanophotonic waveguides exhibiting extreme dielectric photon confinement. The project is motivated in part by the urgent need for enhancing light-matter interaction in order to reduce the energy consumption of information technologies and in part by the fundamental quest towards understanding how slow and small a photon can be. It represents an extraordinary training opportunity on complementary scientific and soft skills for the applicant and has transformational impact potential on photonic integrated devices, optical data processing, quantum technologies, and beyond.

Mots clés : slow light topological photonics extreme confinement of light light matter interaction nanophotonic waveguides

Participants :
- Université technique du Danemark (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 214934.4 €
Projet TRUST-ML (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : CLOSED

Deep decarbonization of the energy sector will require massive penetration of stochastic renewable energy resources and an enormous amount of grid asset coordination; this represents a challenging paradigm for power system operators. With its ability to learn in complex environments and provide predictive solutions on fast timescales, machine learning (ML) is posed to help overcome these challenges and dramatically transform power systems in coming decades. Emerging EU verification standards, however, will require that all ML and Reinforcement Learning (RL) used in safety critical applications be demonstrably trustworthy. In this project, we develop a unified framework, known as Trust-ML, for assessing the quantitative trustworthiness of the neural network models commonly used in power systems. Trust-ML uses a novel, convex optimization approach to assess ML trustworthiness across three key dimensions: performance, robustness, and interpretability. The approach is engineered to be scalable, and by design, it generates exact verification guarantees. Furthermore, Trust-ML is designed to meet the emerging needs of actual power systems. In particular, it can verify the performance of multi-agent RL systems in rigorous ways, and its relaxed counterpart can offer tractable, worst-case performance guarantees in the context of online learning. The resulting verification tools will be published as open-source software packages and shared widely with researchers and industry. This project will advance state-of-the-art methods across several interdisciplinary fields, it will help remove the barriers associated with machine learning deployment in power systems, and its outcomes will help push European power grids into competitive spaces. Coming from MIT with advanced training in power systems, the project PI, Samuel Chevalier, is characteristically well-suited to build Trust-ML, and his team of advisors represents a mixture of experts across power, optimization, and learning.

Mots clés : trustworthy ai power systems control

Participants :
- Technion - Institut de technologie d'Israël (Israël) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université technique du Danemark (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 230774.4 €
Projet PARTYMIX (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Mathematics
Statut du projet : SIGNED

A fundamental result in probability theory states that the distribution of an irreducible, time continuous Markov chain on a finite state space converges to an equilibrium as time tends to infinity. The study of Markov chain mixing time is a branch of Probability Theory that tries to understand the characteristic of this convergence and answer questions such as: How much time is needed to converge to equilibrium? Is the convergence regular or abrupt?  Within this field only little effort have been made to understand how random inhomogeneities can affect the pattern of convergence to equilibrium. The objective of our research project is to develop the mathematical understanding of relaxation to equilibrium of disordered systems. To do so, we will explore in depth the case of a specific disordered model - the Simple Exclusion Process (SEP) in a random environment - with the hindsight of developing robust methods which contribute to the understanding of disordered Markov processes.  Our project defines a handful of precise scientific questions on which our efforts should be focused. These concern the asymptotic behavior, as the system size go to infinity, of the spectral gap and of the mixing time for disordered Simple Exclusion Process on one dimensional graphs as well as the possible occurrence of the cutoff phenomenon for the process.

Mots clés : mixing time, spectral gap, random environment, simple exclusion process, cutoff

Participants :
- Université de Rome III (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 122198.58 €
Projet ROAD (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : CLOSED

Establishing a bio-based economy requires the development of novel biorefineries, where bacterial cell factories are employed for producing added-value compounds from cheap, renewable substrates. CO2 is the ideal feedstock, being the most abundant and virtually unlimited carbon-source on Earth. Novel, highly promising biorefineries aim to utilize genetically engineered bacteria to convert renewable energies and atmospheric CO2 into fuels and chemicals. The enzyme Ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco) is the main responsible of CO2 fixation in the biosphere via the Calvin-Benson-Bassham cycle. Despite its wide distribution in the tree of Life, Rubisco is a rather inaccurate enzyme, presenting a tendency to perform an oxygenation side-reaction which results in the formation of 2-phosphoglycolate (2PG). While re-assimilation of 2PG in central metabolism results in net CO2 loss, it can serve as a precursor of glycolate, an attractive, versatile platform chemical. Here, I propose to exploit the sloppiness of Rubisco to implement a novel biorefinery for glycolate production from CO2. Ultimately, I aim to demonstrate feasible microbial synthesis glycolate, where engineered bacterial platforms synthesize this molecule directly from CO2 (as carbon source) and renewable H2 or formate (as energy source). This overarching goal will be pursued through three different, complementary objectives, including: in vivo screening of new, recently described Rubisco isoforms via ad hoc designed 'selection strain'; in vivo directed evolution of the best performing Rubisco isoforms for improving the inherent oxygenation activity; engineering of natural (Cupriavidus necator) and synthetic (Escherichia coli) bacteria autotrophs as cell factories for this process, which will be tested in gas-controlled lab-scale reactors. Eventually, such a novel biorefinery concept will open unprecedented possibilities for the use of CO2 as feedstock for a true biobased economy.

Mots clés : metabolic engineering, synthetic biology, biosensors, rubisco, co2 fixation, bioeconomy

Participants :
- Université technique du Danemark (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 228552.4 €