
CY Cergy Paris University
CY Cergy Paris University
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114 Projects, page 1 of 23
assignment_turned_in ProjectFrom 2017Partners:TRACIP SAS, Copan Italia, INCC, CHUV, CY Cergy Paris University +9 partnersTRACIP SAS,Copan Italia,INCC,CHUV,CY Cergy Paris University,HUG,LNS,Ecole de l'ADN,Institut de recherche criminelle de la Gendarmerie Nationale,Equipe de Recherche sur les Relations Matrice Extracellulaire - Cellule,DNALOGY LABORATORIES,Institut des MATériaux,CURML,ECOLE DE LADNFunder: French National Research Agency (ANR) Project Code: ANR-17-MRS4-0021Funder Contribution: 30,000 EURIn contexts of crimes, disasters, terrorism or population displacement that presently occurs in Europe and numerous regions of the world, the necessity of having as soon as possible reliable, high throughput and real time analysis to identify individuals, victims and authors is a major societal and legal issue. The present MRSEI ForOnBoardLab project aspire to strengthen a multidisciplinary consortium which was federated, during a PhD thesis, around the theme of the rapid DNA analysis in the aim to structure a project for answering to the European H2020 call "SU-FCT02-2018-2019-2020: Technologies to enhance the fight against crime and terrorism, Sub-topic 1: [2019]; Trace qualification" at the beginning of 2019. The ambition of our European project is to set up a technological and normative European st of references, procedures and guidelines in the field of the genetic identification using high throughput DNA fingerprints, in real time and on site. In this way the project also aims at developing innovative biological collection devices and smart and on-board mobile laboratory in agreement with standards and reglementations and qualify and validated instruments and analytical methods. This in situ and real time forensic approach involves 9 academic, institutional and industrial partners from 6 European countries: France, Switzerland, Greece, Italy, Luxembourg, Belgium with intrernationaly recognized forensic leaders in DNA analysis performing more than 150 000 expertises by year. ForOnBoardLab aims to initiate and catalyse during 18 months the consortium to propose a structuring program in the H2020. Such a support of the French ANR within the framework of the AAP MRSEI will enhance the emergence of an European network in the field of biological sampling integrated into solutions of analysis high throughput , in situ and real time DNA including trainings and normative functions in a guides of recommanded practices to collect traces in complex crimes/disasters or major population migrations fields
more_vert assignment_turned_in ProjectFrom 2021Partners:Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, CY Cergy Paris University, CEA Laboratoire d'Electronique et de Technologie de l'Information, ETIS, Institut de Recherche en Informatique de Toulouse +8 partnersEcole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire,CY Cergy Paris University,CEA Laboratoire d'Electronique et de Technologie de l'Information,ETIS,Institut de Recherche en Informatique de Toulouse,ENREA,Laboratoire dElectronique et de Technologie de lInformation,LABORATOIRE D'INTEGRATION DU MATERIAU AU SYSTEME,Equipes Traitement de lInformation et Systèmes,CNRS,INS2I,LABORATOIRE DINTEGRATION DU MATERIAU AU SYSTEME,Laboratoire des Sciences et Techniques de lInformation, de la Communication et de la ConnaissanceFunder: French National Research Agency (ANR) Project Code: ANR-21-CE25-0006Funder Contribution: 636,668 EURThe AI4CODE project brings together 6 research team with strong expertise in the design, decoding and standardization of forward-error-correction codes. The aim is to develop skills in artificial intelligence and machine learning, and to explore how learning techniques can contribute to the improvement of code design methods (by using less parameters, more relevant heuristics, producing stronger codes) and decoders (better performance, reduced complexity or energy consumption), on selected scenarios of practical interest for which a full theoretical understanding is still lacking. The proposed methodology is to augment legacy design methods and decoders with learning capabilities or decision support systems wherever relevant, rather than replacing them by a generic, black-box neural network, so that we can inspect the trained solutions and try to infer why they work better. Our ultimate goal is to obtain new theoretical hindsight that could translate into better codes and decoders.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2021 - 2026Partners:SENERGY PRODUCTS AND SERVICES SL, Università Luigi Bocconi, CY Cergy Paris University, CHERNIHIV POLYTECHNIC NATIONAL UNIVERSITY, CPNU, Gdańsk University of Technology +9 partnersSENERGY PRODUCTS AND SERVICES SL,Università Luigi Bocconi,CY Cergy Paris University,CHERNIHIV POLYTECHNIC NATIONAL UNIVERSITY, CPNU,Gdańsk University of Technology,CAU,WUT,NOVA,UNISA,KIT,University of Extremadura,SIEMENS PLM,TUT,AAUFunder: European Commission Project Code: 955614Overall Budget: 3,785,700 EURFunder Contribution: 3,785,700 EUR“Collaborative Smart Grids” (CSGs) are a promising concept built on digital technologies and economic and organizational structures, directly linked to the empowerment of consumers, the promotion of behavioural change and increased collaboration among all stakeholders. CSGs require a new vision but also innovative business models and technology developments around energy production, distribution and consumption to be successful and sustainable. The multidisciplinary and multilayer concept embedded in CSGs is essential to contribute to greener and smarter energy systems in our societies. SMARTGYsum - SMART Green energY Systems and bUsiness Models- will train 15 ESR for 36 months to enable the implementation of the Smart Energy vision, focusing on different technical and socioeconomic aspects that conform Electric Energy Systems (EESs) and CSGs, providing an excellent basis to develop their future careers in Power Electronics, Electric Engineering, Material Sciences, ICT, Data Sciences but also energy capturing of value, value chains, finance & investments, management of energy markets, economical and policy instruments, etc. As a result, there will be a network of academic and industrial partners closely collaborating following a transferable, inter and multidisciplinary approach, aimed at raising the employability and career opportunities of ESRs within the public and the private sectors, as well as their potential for conducting innovation, entrepreneurship and for impacting in the European society at medium and long-term.
more_vert assignment_turned_in ProjectFrom 2024Partners:INSA, CY Cergy Paris University, Institut des MATériaux, Laboratoire de Mécanique des Contacts et des Structures, University of Lyon System +7 partnersINSA,CY Cergy Paris University,Institut des MATériaux,Laboratoire de Mécanique des Contacts et des Structures,University of Lyon System,ISAE-ENSMA,University of Poitiers,CNRS,Institut Pprime,UM,INSIS,LMGCFunder: French National Research Agency (ANR) Project Code: ANR-23-CE51-0016Funder Contribution: 551,028 EURIn the framework of reducing energy losses and of improving eco-efficiency, the Lumiere project aims to better understand and model the mechanisms governing the mixed lubrication regime with the objective of a more accurate estimate of the lifetime and friction losses of the lubricated components. Among the many facets of this problem, the impact of wear particles and their interactions with the lubricating fluid and the surfaces will be more particularly studied: by in situ observations on dedicated test benches and by the method of discrete elements (DEM) coupled with a lubrication model. The results will then be integrated into a multiscale tool allowing simulations at the component level. The work will be carried out by the Pprime Institute, specialized in the study and simulation of lubrication in collaboration with the LaMCoS, recognized for its skills in the experimental study of tribology and the LMGC, expert in the simulation of contact and wear by DEM.
more_vert assignment_turned_in ProjectFrom 2013Partners:Laboratoire Matière et Systèmes Complexes, UMR 7057, CY Cergy Paris University, Laboratoire de Photonique et Nanostructures, UEVE, Unité de Microbiologie Structurale UMR 3528 +6 partnersLaboratoire Matière et Systèmes Complexes, UMR 7057,CY Cergy Paris University,Laboratoire de Photonique et Nanostructures,UEVE,Unité de Microbiologie Structurale UMR 3528,LAMBE,INC,Polytheragene,CEA,CNRS,Laboratoire dAnalyse et de Modélisation pour lEnvironnement et la Biologie UMR 8587Funder: French National Research Agency (ANR) Project Code: ANR-12-NANO-0012Funder Contribution: 716,575 EURNumerous chemical or biological processes involve the transport of macromolecules through tiny channels of nanometric size. We have been the firsts in France to study these processes (as early as 2003) using natural channels and artificial channels obtained by drilling nanopores in ultra-thin SiC and Si3N4 solid-state membranes with a Focused Ions Beam Apparatus (FIB). The molecules passing through a pore are detected by a simple electrical method. We would like to pursue this research by developing their different aspects : fabrication, detection and applications. We first propose to drill nanopores in single sheets of graphene by using an optimized system of focused Gallium or Helium ions beam, and then to study its use as an ultra-fast DNA and proteins sequencing tool. This domain, which we explore since two years is growing explosively. For what concerns detection, we wish to develop the optical and mechanical detection of the translocation of a macromolecule through a nanopore. The optical detection requires the use of fluorescent or luminescent macromolecules. Spurious light created while illuminating a pore is eliminated by absorting it or by hindering its propagation (condition of zero mode waveguide). This is obtained by coating the surface of the pore and of the silicon nitride membrane by silicon or gold.The mechanical detection of the forces exerted on a macromolecule confined in a nanopore is obtained when the molecule is attached to the tip of an atomic force microscope or to a bead trapped in optical tweezers. We propose to measure the work exerted on a translocating (out of equilibrium) macromolecule and to use the recent Jarzynski’s relation for studying the energetic lanscape explored by the molecule. Our experience in drilling nanopores by focused ions beam enables us to make nanopores in various materials, controlling their size, their position, their organization We are also able to produce a large amount of nanopore which may serve the needs of research laboratories and future applications. We have constructed our project in order to propose valuable applications of nanopores in the fields of Biology and Biotechnoly, avoiding the well-know application to DNA sequencing, which is outside our scope. We have made a association with a small spin-off company created by a partner laboratory of this consortium in order to study the production of DNA vectors for gene tranfer and gene therapy by molecular extrusion through a nanopore. An electric field or a pressure force the passage of a DNA plasmid through a Silicon Nitride Nanopore and put the molecule in contact with a solution of cationic polyelectrolyte at the exit of the pore. An electrostatic complex is formed with a controlled size and composition, with a single DNA molecule per nanoparticle. We propose to use the same principle of molecular extrusion for studying the synthesis of polymers through a nanopore coated with a suitable catalyst and for controlling the folding and unfolding of proteins buy nanopores. We will use a new experimental prtein model, the Luciferase protein, which allows an optical detection of its transport and functionnal foldind after translocation through a nanopore. We thus hope to create new biomimetic objects enabling the analysis and manipulation of macromolecules with a never achieved spatial and temporal resolution
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