Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Ultralow power photonic integrated circuits for short range interconnect networks (ULPPIC)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Systems and communication engineering
Countries involved: Belgium
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-01-01
End date: 2015-12-31
Duration (months): 60.0
Total project cost (EUR): 1341600.0
EU funding (EUR): 1341600.0
Participants: 1
Project status: CLOSED

It is now generally recognized that current electrical solutions will not suffice to fulfil all requirements for communication on-chip and between chips, which is expected to continue to grow exponentially during the coming years. Therefore we have to look for alternatives. Optical interconnect is a possibility, which is currently heavily investigated, including in my own on-going research. However, the requirements in terms of power consumption are very stringent and the current solutions being proposed are still off by an order of magnitude. Therefore, the objective of this project is to propose, design, fabricate and characterise photonic devices with fundamental lower power consumption through exploiting a large overlap between optical field, active material and electrical drive signals. For this purpose, we will build a completely new photonics integration platform consisting of self-assembled semiconductor materials as the active core element, embedded within strongly confined photonic cavities defined using the most advanced semiconductor fabrication technologies. Thereby we are combining rapidly maturing bottom-up techniques such as colloidal nanocrystal synthesis and semiconductor nanowire growth with traditional top-down technologies for realizing completely new types of photonic devices with an order of magnitude improvement in device performance. To reach this objective I will build a multidisciplinary team with experts in photonic device design, wet chemical synthesis, solid state physics, epitaxial nanowire growth and microelectronic fabrication technologies.

Keywords: nanophotonics,colloidal nanocrysals,nanowires
Deep Packet Inspection to Next Generation Network Devices (DPI)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Systems and communication engineering
Countries involved: Israel
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2010-11-01
End date: 2016-10-31
Duration (months): 72.0
Total project cost (EUR): 990400.0
EU funding (EUR): 990400.0
Participants: 2
Project status: CLOSED

Deep packet inspection (DPI) lies at the core of contemporary Network Intrusion Detection/Prevention Systems and Web Application Firewall. DPI aims to identify various malware (including spam and viruses), by inspecting both the header and the payload of each packet and comparing it to a known set of patterns. DPI are often performed on the critical path of the packet processing, thus the overall performance of the security tools is dominated by the speed of DPI. Traditionally, DPI considered only exact string patterns. However, in modern network devices patterns are often represented by regular expressions due to their superior expressiveness. Matching both exact string and regular expressions are well-studied area in Computer Science; however all well-known solutions are not sufficient for current network demands: First, current solutions do not scale in terms of speed, memory and power requirements. While current network devices work at 10-100 Gbps and have thousands of patterns, traditional solutions suffer from exponential memory size or exponential time and induce prohibitive power consumption. Second, non clear-text traffic, such as compressed traffic, becomes a dominant portion of the Internet and is clearly harder to inspect. In this research we design new algorithms and schemes that cope with today demand. This is evolving area both in the Academia and Industry, where currently there is no adequate solution. We intend to use recent advances in hardware to cope with these demanding requirements. More specifically, we plan to use Ternary Content-Addressable Memories (TCAMs), which become standard commodity in contemporary network devices. TCAMs can compare a key against all rules in a memory in parallel and thus provide high throughput. We believ

Keywords: network algorithmics,security,ternary cache associative memory (tcam),deep pacekt inspection,pattern matching
Controlling Data Movement in the Digital Age (CODAMODA)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Computer science and informatics
Countries involved: Greece
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-04-01
End date: 2017-03-31
Duration (months): 72.0
Total project cost (EUR): 1212959.74
EU funding (EUR): 1212959.74
Participants: 1
Project status: CLOSED

Nowadays human intellectual product is increasingly produced and disseminated solely in digital form. The capability of digital data for effortless reproduction and transfer has lead to a true revolution that impacts every aspect of human creativity. Nevertheless, as with every technological revolution, this digital media revolution comes with a dark side that, if left unaddressed, it will limit its impact and may counter its potential advantages. In particular, the way we produce and disseminate digital content today does not lend itself to controlling the way data move and change. It turns out that the power of being digital can be a double-edged sword: the ease of production, dissemination and editing also implies the ease of misappropriation, plagiarism and improper modification. To counter the above problems, the proposed research activity will focus on the development of a new generation of enabling cryptographic technologies that have the power to facilitate the appropriate controls for data movement. Using the techniques developed in this project it will be feasible to build digital content distribution systems where content producers will have the full possible control on the dissemination of their intellectual product, while at the same time the rights of the end-users in terms of privacy and fair use can be preserved. The PI is uniquely qualified to carry out the proposed research activity as he has extensive prior experience in making innovations in the area of digital content distribution as well as in the management of research projects. As part of the project activities, the PI will establish the CODAMODA laboratory in the University of Athens and will seek opportunities for technology transfer and interdisciplinary work with the legal science community.

Keywords: cryptography,computer security
Simulation, Optimization and Control of High-Altitude Wind Power Generators (HIGHWIND)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Systems and communication engineering
Countries involved: Germany,Belgium
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-03-01
End date: 2017-02-28
Duration (months): 72.0
Total project cost (EUR): 1499800.0
EU funding (EUR): 1499800.0
Participants: 2
Project status: CLOSED

A new class of large scale wind power generators shall be investigated via mathematical modelling, computer simulation and multidisciplinary optimization methods. The underlying technical idea is to use fast flying tethered airfoils that fly in altitudes of several hundred meters above the ground. They will perform specially controlled loops accompanied by line length and line tension variations, that are used to drive a generator on the ground. Being a high risk / high gain technology, the applicant believes that the main focus in the first development years should not be on building large and expensive experimental setups (as some courageous experimentalists currently do in Europe and the US), but on mathematical modelling, computer simulation and optimization studies, accompanied by only small scale experiments for model and control system validation. This will help finding optimal system designs before expensive and potentially dangerous large scale systems are built. The research requires an interdisciplinary collaboration of scientists from mathematical, mechanical, aerospace, and control engineering, as well as from the computational sciences. At the end of the project, a small scale, automatically flying prototype shall be realized, accompanied by validated and scalable mathematical models and a toolbox of efficient computational methods for simulation and multidisciplinary optimization of high altitude wind power systems. If successful, the project will help to establish this new type of wind power generator that might provide electricity more cheaply than fossil fuels and is deployable at considerably more sites than conventional windmills.

Keywords: renewable energy,embedded optimization for control
Stability and hyperbolicity of polynomials and entire functions (SHPEF)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Mathematical foundations
Countries involved: Germany
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2010-08-01
End date: 2015-07-31
Duration (months): 60.0
Total project cost (EUR): 880000.0
EU funding (EUR): 880000.0
Participants: 1
Project status: CLOSED

The project is devoted to the theory, algorithms and applications of hyperbolic and stable multivariate polynomials. This line of research is meant to lead to new fundamental results in analysis, matrix and operator theory, combinatorics, and theoretical computer science. The central goal of the project is to develop a comprehensive, seamless, theory of hyperbolic and stable multivariate polynomials. The four areas and four objectives of the project are as follows: Classical analysis: revisit and expand the theory of hyperbolic and stable polynomials and entire functions in both the univariate and the multivariate setting. Applications: apply the theory of hyperbolic and stable polynomials to problems of matrix theory, combinatorics and theoretical computer science. Operator theory: develop the theory of hypo- and hyperoscillating operators and apply it to problems of fluid dynamics. Algorithms: develop fast and accurate algorithms for testing hyperbolicity/stability and for related problems.

Keywords: stability,hyperbolicity,root localization,entire functions,laguerre-polya class,laguerre inequalities,operator theory,fluid dynamics,statistical mechanics,graphs,matroids
Ultracold negative ions by laser cooling (UNIC)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Fundamental constituents of matter
Countries involved: Germany
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-07-01
End date: 2016-06-30
Duration (months): 60.0
Total project cost (EUR): 1115970.0
EU funding (EUR): 1115970.0
Participants: 1
Project status: CLOSED

Laser cooling is a well-established technique for the creation of ultracold particle ensembles in beams or traps. Over the past 30 years, it has become an indispensable tool in atomic physics and has opened many exciting new research fields. Both in positive atomic ions and in neutral atoms, the valence electron is bound in a Coulomb potential. The resulting infinite series of excited states provides a wide choice of suitable cooling transitions in many ionic and atomic systems. Surprisingly, laser cooling of negative atomic ions has never been achieved. The binding of the valence electron in these systems is based on electron electron correlation effects, which drop off quickly as the excess electron is removed from the neutral core. Consequently, anions are easily neutralized and only a few of them have excited levels. When excited states do occur, they are usually sub-levels of the ground state, meaning that transitions between the ground and excited state are weak and laser cooling would take prohibitively long. However, only a few years ago, a strong transition between the ground state and an opposite-parity excited state was found in the negative osmium ion. With this discovery, the laser cooling of atomic anions has finally come into reach. High-resolution optical spectroscopy on negative osmium has been carried out by the applicant, confirming the existence of a potential laser cooling transition. The aim of the proposed project is the first-ever demonstration of atomic-anion laser cooling. Ultimately, laser-cooled atomic anions could be used to cool any other negative-ion species by confining them simultaneously in a trap. The proposed technique is therefore applicable to a wide range of research fields in which ultracold negative ions are required.

Keywords: laser cooling,ultracold ensembles,atomic anions,ion traps
Modelling latent causes in molecular networks (LATENTCAUSES)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Systems and communication engineering
Countries involved: Germany
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-01-01
End date: 2016-03-31
Duration (months): 63.0
Total project cost (EUR): 1238590.0
EU funding (EUR): 1238590.0
Participants: 1
Project status: CLOSED

In systems biology, we aim at deriving gene-regulatory or signaling models based on multivariate readouts, thereby generating predictions for novel experiments. However any model only approximates reality, leaving out details or other types of regulation. Here I ask why a given model fails to predict a set of observations with acceptable accuracy and how to refine the model using this experimental knowledge. This resembles a question from signal processing, namely the blind identification of hidden (latent) variables in a mixing model. Many, powerful methods have been proposed to answer it. However, they have not been extended to dynamical systems due to the involved strong nonlinearities. I propose to infer additional upstream species in a given model, denoted as latent causes, that improve the prediction and at the same time are subject to the model dynamics. Multiple causes are estimated using statistical assumptions such as minimum mutual information. The model estimation will be performed within a Bayesian framework. This will allow for the efficient but crucial inclusion of prior biological information. The method will be applied to infer a differentiation model describing lineage segregation of embryonic stem (ES) cells to endo- and mesoderm. Here, latent causes are known to be transcription factors and microRNAs, but also small molecules/drugs. Identified off-target effects of these causes will be validated in collaboration with experimental partners. This study will establish links between information-theoretic signal processing and dynamical systems. Its application to a detailed ES cell model will foster our understanding of differentiation and may ultimately contribute to the development of more efficient differentiation protocols for cell replacement therapy.

Keywords: gene-regulatory & signaling networks,bayesian modeling,blind source separation,embryonic stem cell differentiation
Tunable array of magnetic nano-crystals designed at the atomic scale: engineering high performance magnetic materials using hybrid organic-inorganic nano-architectures (MAGNETALS)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Products and process engineering
Countries involved: France
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2010-11-01
End date: 2016-10-31
Duration (months): 72.0
Total project cost (EUR): 1499725.0
EU funding (EUR): 1499725.0
Participants: 1
Project status: CLOSED

The storage density of computer hard drives is growing so rapidly that for new computer drive generations not only optimized materials are needed but also new concepts for data storage. Last decades, higher storage densities on computer disks were achieved by optimization of magnetic materials, i.e. the magnetic grains were gradually shrunk while, at the same time, the magnetic stability was increased. The nowadays smallest storage unit is made up 100 to 600 grains, that form one bit. Each grain is about 10 nanometres in size. These grains are arranged next to each other on substrates that are plated with magnetic metals. Decreasing further the size and amount of the grains necessary for one bit is now irremediably affecting the signal/noise ratio, weaker signals leading to loss of information. Therefore, new concepts for magnetic storage media have to be found. Material reduced size leads to novel properties totally different from bulk properties. In our project we will engineer matter at the atomic and molecular level and develop advanced construction methods to build new functionalised materials for magnetic storage. We propose a multidisciplinary research project, that aims to explore various aspects related to magnetic properties of highly organised organic-inorganic nano-architectures. We will engineer tunable supramolecular assemblies to host and organise inorganic shape-selected magnetic nanocrystals. Due to the sensitive interrelation of magnetism and the atomic structure of these systems, any induced nanostructure modification will result in changes of the magnetism. Our ability to tailor nanocrystal size, composition, structure, shape and position will allow us to tune magnetism at the atomic scale. We will thus be able to design and produce new high density hybrid nano-architectures having gigantic magnetic performance, i.e., huge magnetostatic energy stored and a high blocking temperature. This research therefore has the potential to make a considerable impact on the high density data storage industry

Keywords: magnetic material,nanocrystal,hydrid organic-inorganic nano-architecture,tunable
Directed Evolution of Function within Chemical Systems: Adaptive Capsules and Polymers (DIREVOLFUN)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Materials and Synthesis
Countries involved: United Kingdom
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-01-01
End date: 2016-12-31
Duration (months): 72.0
Total project cost (EUR): 1357006.0
EU funding (EUR): 1357006.0
Participants: 1
Project status: CLOSED

A signature trait of living systems is their ability to dynamically adjust to features of their environments, adapting to stay alive, and evolving to take better advantage of the resources in their environments. This proposed research aims to synthesise new chemical systems that are capable of adaptation and evolution, with the achievement of specified functions being used as the benchmarks by which we may be judged to have succeeded in setting the direction for our systems evolution. Two parallel lines of inquiry will be followed. First, we will build upon results that we have recently published in Science[1] to create a series of new molecular capsules that are capable of dynamically adapting to different guest molecules. These capsules will serve as sensors and as enzyme-like catalysts through the use of transition-state-analogue guests. Second, we will prepare new metal-containing conjugated polymers through self-assembly, which will be capable of dynamically exchanging building blocks in solution. These polymers will have potential applications as electrically-conductive materials, with functional properties that may be tuned and optimised by the application of evolutionary pressures. The success of these studies will thus create novel materials with uses as self-assembled sensors, catalysts, and electrical conductors. We will also shed light upon the question of how chemical systems may be induced to evolve under selective pressure. These studies thus have long-term bearing upon the questions of how living systems evolved from pre-biological mixtures of molecules. [1] P. Mal, B. Breiner, K. Rissanen, J.R. Nitschke, Science 2009, 324, 1697-1699.

Keywords: host-guest chemistry,conjugated polymers
Classes of combinatorial objects: from structure to algorithms (CCOSA)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Mathematical foundations
Countries involved: United Kingdom,Czechia
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2010-12-01
End date: 2015-11-30
Duration (months): 60.0
Total project cost (EUR): 849000.0
EU funding (EUR): 849000.0
Participants: 2
Project status: CLOSED

The proposed project aims at analyzing fundamental problems from combinatorics using the most current methods available and at providing new structural and algorithmic insights to such problems. The problems considered will be treated on a general level of classes of combinatorial objects of the same kind and the developed general methods will also be applied to specific open problems. Classes of dense and sparse objects will be treated using different techniques. Dense combinatorial objects appear in extremal combinatorics and tools developed to handle them found their applications in different areas of mathematics and computer science. The project will focus on extending known methods to new classes of combinatorial objects, in particular those from algebra, and applying the most current techniques including Razborov flag algebras to problems from extremal combinatorics. Applications of the obtained results in property testing will also be considered. On the other hand, algorithmic applications often include manipulating with sparse objects. Examples of sparse objects are graphs embeddable in a fixed surface and more general minor-closed classes of graphs. The project objectives include providing new structural results and algorithmic metatheorems for classes of sparse objects using both classical tools based on the theory of graph minors as well as new tools based on the framework of classes of nowhere-dense structures.

Keywords: graph theory,extremal combinatorics,graph algorithms