Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Directly Modulated Lasers on Silicon (DIMENSION)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Germany,Germany,Germany,Switzerland,Greece,United Kingdom
Call: Photonics KET (H2020-ICT-2015, 2015)
Start date: 2016-02-01
End date: 2020-09-30
Duration (months): 56.0
Total project cost (EUR): 3422128.75
EU funding (EUR): 2621758.75
Participants: 6
Project status: CLOSED

DIMENSION establishes a truly integrated electro-optical platform, extending the silicon (Bi)CMOS and silicon photonics platform with III-V photonic functionality. The III-V integration concept is fully CMOS compatible and offers fundamental advantages compared to state-of-the art integration approaches. After bonding and growing ultra-thin III-V structures onto the silicon front-end-of-line, the active optical functions are embedded into the back-end of line stack. This offers great opportunities for new innovative devices and functions at the chip-level but also for the assembly of such silicon devices. As processing takes place on silicon wafers, this project has the unique opportunity to bring the cost of integrated devices, with CMOS, photonic and III-V functionality, down to the cost of silicon volume manufacturing. Such a platform has the potential to allow Europe to take a leading position in the field of high functionality integrated photonics. Moreover, the project demonstrators adhere to standards such as IEEE802.3, 25G optical components and low-power electronics, thus opening a viable route towards ultra-low-cost high-performance optical transceivers for a new era of data centres and cloud systems. DIMENSION will realise three demonstrators: • A short-reach transmitter for intra-datacenter operation addressing the 400 GbE-LR8 (IEEE 802.3bs) standard making use of an array of directly modulated lasers, pulse-amplitude-modulation (PAM4) techniques and 8 wavelength channels in the telecom O-band. • A medium-reach transmitter for inter-datacenter applications beyond the 400 GbE-LR8 (IEEE 802.3bs) standard by providing a tuneable coherent transmitter for inter-datacenter and metro applications for link lengths in excess of 10km using a modulator integrated on the same chip. • A novel laser directly grown on silicon photonics, operated at 25Gb/s in the telecom O-band demonstrating the significant cost-saving potential of the technologies pursued in DIMENSION.

Keywords: lasers on silicon,direct modulation,iii v,si integration,optical intra,inter datacenter communication
Flat bands and topology in superconductive materials (FLATOPS)

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: Finland
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-04-01
End date: 2018-03-31
Duration (months): 24.0
Total project cost (EUR): 191325.6
EU funding (EUR): 191325.6
Participants: 1
Project status: CLOSED

Flat bands allow to increase the critical temperature of the superconducting transition thanks to their high density of states. However a characterization of the flat bands that support a finite supercurrent is open. In some cases a nonzero Chern number, a topological invariant of the band structure, ensures a finite superfluid mass density. This tantalizing relation between topology and superfluidity is novel and unexplored. My aim is to characterize superfluidity in lattice systems with flat bands that have different symmetries, lattice structures, dimensionality, interparticle interactions and possess different topological invariants, in order to provide a general picture of which ones are potentially useful as a superconductor with high critical temperature. Whereas mean-field (BCS) theory can provide an essential qualitative understanding and a transparent link to topological properties, I plan to use more reliable methods such as Density Matrix Renormalization Group (DMRG) in 1D and Dynamical Mean Field Theory (DMFT) in 2D and 3D. The ideal platform to test the theoretical predictions are ultracold gases, but I expect to provide useful results also for multiband superconductors, topological media, carbon-based superconductors, Quantum Hall systems and high-Tc superconductors.

Keywords: flat band,superfluidity,superfluid density,critical temperature,topological properties,chern number,ultracold atomic gases
Artificial Intelligence for early and accurate neuropsychiatric diagnosis (NeuroPsyCAD)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Portugal
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-12-01
End date: 2018-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

NeuroPsyCAD is a cloud-based reporting service that provides an accurate and early diagnosis of neuropsychiatric disorders. To achieve high accuracies, NeuroPsyCAD statistically compares a brain scan of a patient with a normative, human, and population representative database using machine-learning algorithms. It also analyses the brain as a whole and the connections between its parts to define patterns of changes in the brain related to each disorder (and can integrate information from different image sources, if needed). Finally, it can integrate information from different imaging sources. The NeuroPsyCAD’s target market are patients that come to clinical services with one of the following neuropsychiatric diseases: Alzheimer’s Disease (AD), Parkinson’s Disease (PD), Schizophrenia Spectrum Disorder (SSD), or Autism Spectrum Disorder (ASD). NeuroPsyCAD’s worldwide total market is 130 million. This value takes into account the worldwide total number of patients having one of the four diseases. Te annual excess spend for Alzheimer’s and Parkinson’s patients is €10,000 per year due to misdiagnosis which occur in about 17% of cases. Multiplying this by the number of new patients per year in the US and EU, results in a cost of €2.3 billion per year that can be saved by using NeuroPsyCAD. Additionally, studies show that early treatment of Alzheimer’s Disease patients delay institutionalization and generates further savings of also about €10,000 per patient . NeuroPsyAl is a new innovative spin-off start-up from the Institute of Biophysics and Biomedical Engineering and at the Institute of Molecular Medicine, of the University of Lisbon, Portugal. Whilst we incorporated in May 2017 after all the relevant IP was transferred to us from IBEB and iMM Lisboa, we started to create our core and only product NeuroPsyCAD in 2012.

Keywords: cloud based reporting,machine learning,algorithms,diagnosis of neuropsychiatric disorders,artificial intelligence
On the Origin of Complex Dynamics in Multi-strain Models: Insights for Public Health Intervention Measures (COMPLEXDYNAMICS-PHIM)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-01-01
End date: 2021-03-02
Duration (months): 24.0
Total project cost (EUR): 180277.2
EU funding (EUR): 180277.2
Participants: 1
Project status: CLOSED

The dynamics of infectious diseases are by nature non-linear and the understanding of such processes is mathematically difficult, demanding concepts from various fields of mathematics tackling biological questions for real life systems. To be descriptive and predictive, models try to include relevant information on the host-pathogen-vector interactions via the available empirical data. These models have shown rich dynamic structures, with bifurcations up to chaotic attractors able to describe large fluctuations observed in real world disease incidence data. In this project, the origin of the chaotic dynamics in multi-strain epidemiological models will be studied and the mechanisms needed to generate such complex behavior will be identified in basic models, disentangling it from external forcing such as seasonality for example. Multi-strain models will be extended, in collaboration with Prof. Andrea Pugliese (Trento University) providing his experience on vector dynamics, age and space-structured epidemic modeling. The dynamics of vaccine implementation and the control of vector populations, combined with the host-pathogen interactions, will be rigorously evaluated. The over-riding aim of this project is to develop the simplest models able to address specific public health questions, taking into account the chaotic behavior found in such systems, a challenging and new approach. The developed models will be investigated using innovative methods from dynamical systems theory and stochastic processes, including an ambitious and novel application of a recently developed technique for parameter estimation in such complex systems, a method called maximum likelihood iterated filtering including dynamic noise in likelihood functions for multi-strain dynamics. This proposal requires a highly interdisciplinary approach with results applied well beyond the state-of-the-art.

Keywords: stochastic processes,chaos,multi strain dynamics,vaccine implementation,vector control,prediction,parameter estimation,lyapunov exponents,bayesian approach,bifurcation analysis
Optimisation of Geothermal Drilling Operation with Machine Learning (OptiDrill)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Research and Innovation actions
Countries involved: Iceland,Germany,Germany,Germany,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Advanced drilling and well completion techniques for cost reduction in geothermal energy (H2020-LC-SC3-2020-RES-RIA, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 5129436.07
EU funding (EUR): 3985302.5
Participants: 11
Project status: SIGNED

Geothermal drilling industry faces various challenges such as poor overall drilling confidence and performance, and lack of bottom hole awareness resulting in NPT, tripping time etc. OPTIDRILL concept was born to address and solve problems in drilling for geothermal resources that increases uncertainty and well construction costs. OPTIDRILL ´s innovative drilling advisory system is based on a combination of enhanced monitoring systems, multiple data-driven ML modules, each being responsible for either analysis, prediction, or optimization of one aspect of drilling or completion process. OPTIDRILL consortium, brings together highly experienced drillers, drilling project managers, engineers and operators, each having a different, yet complementary set of expertise in differing geological conditions, operating parameters and production end-goals. They will be providing data from various wells around the world. An enhanced monitoring system will be developed based on real time MWD systems as well as acoustic and vibration sensors. The automated machine learning analysis method will predict drilling parameters, using a real-time monitoring and optimization tool, as a unified system combining existing data and the newly developed methods, and finally, a coupled drilling optimization models to reduce overall geothermal drilling and production cost. The goal is to advise and support drilling operators in making informed decisions through real-time data, reducing many of uncertainties associated with drilling, which in term leads to less NPT, as the drilling can be more readily optimised to maintain good ROP, borehole control and address possible drilling issues, before they could impact operation. The OPTIDRILL Advisory System is NOT an attempt to just fully automate drill rig operations, but rather to enhance and digitize decision making and reporting, instrument and optimize the drilling process, and share and transfer this learning across subsequent future application.

Keywords: sensor,systems identification,drilling advisory system,rop improvement,machine learning,lithology prediction,modeling
A smart hyperspectral system for early, non-invasive diagnosis of retinal disease (XpeFundus)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Portugal
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2020-01-01
End date: 2020-04-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The future of retinal diagnostics relies on data-backed smart devices that can see beyond the human eye. With a rising incidence of eye-related diseases further aggravated by the diabetes pandemic, early diagnosis and treatment could prevent up to 98% of sight loss resulting from diabetes. Advances in retinal imaging are in fact fundamental to our understanding and treatment of ocular diseases. XpectralTEK is a European startup focused on the development of imaging diagnostics that aim to improve the visualisation of objects, nature and the human body. By leveraging our expertise in spectroscopy, imaging and computer vision we developed a new hyperspectral fundus camera, XpeFundus. Our camera is capable to perform in-vivo retinal spectroscopy without excessive irradiation making the extreme light intensities and invasive diagnostic methods completely redundant and radically improving the patient experience. Through 3x improved visual mapping of eye tissue alterations, the doctor makes an earlier diagnosis of retinal pathology which leads to earlier prognosis and treatment. Backed by an AI-powered visualisation software and VR, our camera is a complete diagnostic tool that empowers ophthalmologists towards the rapid and non-invasive clinical evaluation of retinal diseases but can also prove a valuable tool for laser treatment, future doctor education and medical research. With the Global Fundus Cameras Market poised to reach a value of $743.3 million by 2025, we are confident that XpeFundus is coming to the market at the right time. Due to the increasing prevalence of eye disorders but also the stagnated number of new ophthalmologists entering the field, advances in retinal diagnostics are a global market high priority. We have already successfully commercialised our patented prototype for its application in cultural heritage and agriculture and we are confident that our business and medical background will be strong assets to bring XpeFundus to the medical market.

Keywords: spectral imaging,diabetic retinopathy,vision loss,healthcare,fundus camera,retinal disease,diabetes,ophthalmologists
Enhanced Air and Ground Safety Nets (PJ11 CAPITO)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Germany,Spain,Italy,Ireland,Sweden,Norway,Belgium,France,France,France,France,France,Czechia,United States
Call: Enhanced Air and Ground Safety Nets (H2020-SESAR-2015-2, 2015)
Start date: 2016-11-01
End date: 2019-12-31
Duration (months): 38.0
Total project cost (EUR): 15230981.42
EU funding (EUR): 4980600.77
Participants: 21
Project status: CLOSED

Safety is at the core of ATC. However, safety is interrelated with efficiency. Air and Ground Safety Nets have been developed to increase the achieved level of safety. Necessarily, Ground and Air Safety Nets have to evolve to keep up with the challenges originating from ever increasing traffic density and complexity. ATM evolutions necessary to safely handle increasing traffic demand or to improve efficiency of air transportation impose new challenging requirements on existing Safety Nets. Future Air and Ground safety nets need to support Trajectory Based Operations and new separation modes: they must provide necessary alerts for actual or potential hazardous situations in an efficient way and avoid or minimise unnecessary alerts. The SESAR 2020 PJ11-CAPITO project will anticipate these required evolutions to maintain, and if possible improve the level of safety. It will also support the safe integration of new airspace users such as Remotely Piloted Aircraft Systems (RPAS) in ATM. PJ11-CAPITO work is focussed on developing and validating requirements in five solutions: one addressing the ground safety nets (in particular Short Term Conflict Alert) and four focussing on the development of specific variants of the new generation of Airborne Collision Avoidance Systems: ACAS Xa for commercial aviation, ACAS Xu for RPAS, ACAS Xo for Specific operations such as parallel approaches, and ACAS Xp for General Aviation. Airborne Collision Avoidance Systems need to be interoperable worldwide, which is primarily ensured through the standardisation process. PJ11 CAPITO will federate European requirements’ capture and ensure that they are taken into account in the global standardisation processes. PJ11 CAPITO unites key European aviation partners including Air Navigation Service Providers, Ground Industry, Airborne industry and EUROCONTROL so that required complementary expertise is available to achieve these ambitious objectives.

Keywords: short term conflict alert,airborne collision avoidance system,safety nets,remotely piloted aircraft systems
Direct conversion hybrid-organic X-ray detectors on metal oxide backplane (DiCoMo)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Micro- and nanoelectronics and photonics: Key enabling technologies related to micro- and nanoelectronics and to photonics, covering also quantum technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Germany,Italy,Germany,Switzerland,Belgium,Netherlands
Call: Photonics KET (H2020-ICT-2014-1, 2014)
Start date: 2015-01-01
End date: 2017-12-31
Duration (months): 36.0
Total project cost (EUR): 3971176.35
EU funding (EUR): 3277034.75
Participants: 7
Project status: CLOSED

DiCoMo aims to improve the specificity and sensitivity of flat panel X-ray detectors. This is achieved by a disruptive approach in sensing where we combine radical innovations from leading European players from various disciplines. On the backplane level a new material system enables the realization of an active pixel architecture with amorphous semiconductors. In combination with a custom made read-out IC this promises a significant enhancement in sensitivity. On the frontplane level a novel solvent-free processing technology for hybrid-organic semiconductors is used in conjunction with hybrid-organic core-shell structures to realize thick photodetectors with integrated scintillator particles for minimal optical cross-talk and enhanced resolution. We expect that the results of DiCoMo secure the leading position and strengthen the global competitiveness of European industry in the field of medical imaging. It helps to establish a network between leading players in the field, covering the entire value chain from material provider to system integrator, and enhance the innovation capacity by mutually-profitable alignment of different technologies and IP blocks available to the consortium. Further it advances the safety of environment and health by establishment of a new solvent-free manufacturing process for large area hybrid-organic electronics and provides an opportunity for better diagnosis at lower dose and cost in radiography and mammography.

Keywords: flat panel x ray detector,hybrid organic photodiode,metal oxide tft backplane,indium gallium zinc oxide,organic semiconductors,core shell particles,read out integrated circuit
Genetic variation exposes regulators of blood cell formation in vivo in humans (BloodVariome)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Sweden
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-10-01
End date: 2024-09-30
Duration (months): 72.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

The human hematopoietic system is a paradigmatic, stem cell-maintained organ with enormous cell turnover. Hundreds of billions of new blood cells are produced each day. The process is tightly regulated, and susceptible to perturbation due to genetic variation. In this project, we will explore an innovative, population-genetic approach to find regulators of blood cell formation. Unlike traditional studies on hematopoiesis in vitro or in animal models, we will exploit natural genetic variation to identify DNA sequence variants and genes that influence blood cell formation in vivo in humans. Instead of inserting artificial mutations in mice, we will read out ripples from the experiments that nature has performed during evolution. Building on our previous work, unique population-based materials, mathematical modeling, and the latest genomics and genome editing techniques, we will: 1. Develop high-resolution association data and analysis methods to find DNA sequence variants influencing human hematopoiesis, including stem- and progenitor stages. 2. Identify sequence variants and genes influencing specific stages of adult and fetal/perinatal hematopoiesis. 3. Define the function, and disease associations, of identified variants and genes. Led by the applicant, the project will involve researchers at Lund University, Royal Institute of Technology and deCODE Genetics, and will be carried out in strong environments. It has been preceded by significant preparatory work. It will provide a first detailed analysis of how genetic variation influences human hematopoiesis, potentially increasing our understanding, and abilities to control, diseases marked by abnormal blood cell formation (e.g., leukemia).