Project acronym COGS
Project Capitalizing on Gravitational Shear
Researcher (PI) Sarah Louise Bridle
Host Institution (HI) THE UNIVERSITY OF MANCHESTER
Call Details Starting Grant (StG), PE9, ERC-2009-StG
Summary Our Universe appears to be filled with mysterious ingredients: 25 per cent appears to be dark matter, perhaps an as-yet undiscovered particle, and 70 per cent seems to be a bizarre fluid, dubbed dark energy, for which there is no satisfactory theory. Solving the dark energy problem is the most pressing question in cosmology today. It is possible that dark energy does not exist at all, and instead Einstein s theory of General Relativity is flawed. Cosmologists hope to measure the properties of the dark energy using the next generation of cosmological observations, in which I am playing a leading role. I believe the most promising technique to crack the dark energy problem is gravitational shear, in which images of distant galaxies are distorted as they pass through the intervening dark matter distribution. Analysis of the distortions allows a map of the dark matter to be reconstructed; by examining the dark matter distribution we uncover the nature of the apparent dark energy. However to capitalize on the great potential of gravitational shear we must measure incredibly small image distortions in the presence of much larger image modifications that occur in the measurement process. I am proposing a fresh look at this problem using an inter-disciplinary approach in collaboration with computer scientists. This grant would enable my team to play a central role in the key results from the upcoming Dark Energy Survey. We would further capitalize on the gravitational shear signal by moving away from the current dark energy bandwagon by instead focusing on testing General Relativity using novel approaches. Our work will produce results which will lead the next Einstein to solve the biggest puzzle in cosmology, and arguably physics.
Summary
Our Universe appears to be filled with mysterious ingredients: 25 per cent appears to be dark matter, perhaps an as-yet undiscovered particle, and 70 per cent seems to be a bizarre fluid, dubbed dark energy, for which there is no satisfactory theory. Solving the dark energy problem is the most pressing question in cosmology today. It is possible that dark energy does not exist at all, and instead Einstein s theory of General Relativity is flawed. Cosmologists hope to measure the properties of the dark energy using the next generation of cosmological observations, in which I am playing a leading role. I believe the most promising technique to crack the dark energy problem is gravitational shear, in which images of distant galaxies are distorted as they pass through the intervening dark matter distribution. Analysis of the distortions allows a map of the dark matter to be reconstructed; by examining the dark matter distribution we uncover the nature of the apparent dark energy. However to capitalize on the great potential of gravitational shear we must measure incredibly small image distortions in the presence of much larger image modifications that occur in the measurement process. I am proposing a fresh look at this problem using an inter-disciplinary approach in collaboration with computer scientists. This grant would enable my team to play a central role in the key results from the upcoming Dark Energy Survey. We would further capitalize on the gravitational shear signal by moving away from the current dark energy bandwagon by instead focusing on testing General Relativity using novel approaches. Our work will produce results which will lead the next Einstein to solve the biggest puzzle in cosmology, and arguably physics.
Max ERC Funding
1 400 000 €
Duration
Start date: 2010-04-01, End date: 2016-03-31
Project acronym COGSYSTEMS
Project Understanding actions and intentions of others
Researcher (PI) Giacomo Rizzolatti
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PARMA
Call Details Advanced Grant (AdG), LS5, ERC-2009-AdG
Summary How do we understand the actions and intentions of others? Hereby we intend to address this issue by using a multidisciplinary approach. Our project is subdivided into four parts. In the first part we investigate the neural organization of monkey area F5, an area deeply involved in motor act understanding. By using a new set of electrodes we will describe the columnar organization of the area F5, establish the temporal relationships between the activity of F5 mirror and motor neurons, and correlate the activity of mirror neurons coding the observed motor acts in peripersonal and extrapersonal space with the activity of motor neurons in the same cortical column. In the second part we will assess the neural mechanism underlying the understanding of the intention of complex actions , i.e. actions formed by a sequence of two (or more) individual actions. The focus will be on the neurons located in ventrolateral prefrontal cortex, an area involved in the organization of high-order motor behavior. The rational of the experiment is that, while the organization of single actions and the understanding of intention behind them is function of parietal neurons, that of complex actions relies on the activity of the prefrontal lobe. In the third and fourth parts of the project we will delimit the cortical areas involved in understanding the goal (the what) and the intention (the why) of the observed actions in individuals with typical development (TD) and in children with autism and will establish the time relation between these two processes. Our hypothesis is that the chained organization of intentional motor acts is impaired in children with autism and this impairment prevents them from organizing normally their actions and from understanding others intentions.
Summary
How do we understand the actions and intentions of others? Hereby we intend to address this issue by using a multidisciplinary approach. Our project is subdivided into four parts. In the first part we investigate the neural organization of monkey area F5, an area deeply involved in motor act understanding. By using a new set of electrodes we will describe the columnar organization of the area F5, establish the temporal relationships between the activity of F5 mirror and motor neurons, and correlate the activity of mirror neurons coding the observed motor acts in peripersonal and extrapersonal space with the activity of motor neurons in the same cortical column. In the second part we will assess the neural mechanism underlying the understanding of the intention of complex actions , i.e. actions formed by a sequence of two (or more) individual actions. The focus will be on the neurons located in ventrolateral prefrontal cortex, an area involved in the organization of high-order motor behavior. The rational of the experiment is that, while the organization of single actions and the understanding of intention behind them is function of parietal neurons, that of complex actions relies on the activity of the prefrontal lobe. In the third and fourth parts of the project we will delimit the cortical areas involved in understanding the goal (the what) and the intention (the why) of the observed actions in individuals with typical development (TD) and in children with autism and will establish the time relation between these two processes. Our hypothesis is that the chained organization of intentional motor acts is impaired in children with autism and this impairment prevents them from organizing normally their actions and from understanding others intentions.
Max ERC Funding
1 992 000 €
Duration
Start date: 2010-05-01, End date: 2015-04-30
Project acronym COHORT
Project The demography of skills and beliefs in Europe with a focus on cohort change
Researcher (PI) Vegard Fykse Skirbekk
Host Institution (HI) INTERNATIONALES INSTITUT FUER ANGEWANDTE SYSTEMANALYSE
Call Details Starting Grant (StG), SH3, ERC-2009-StG
Summary The central research theme of this proposal is the study of social change (skills, productivity, attitudes and beliefs) in Europe along cohort lines and as a function of changing age composition. Using demographic methods, age-specific and cohort-specific changes shall be quantitatively disentangled. The impact of migration flows as well as fertility differentials combined with intergenerational transmissions will be taken into account. It is expected that viewed together, these analyses will result in significant new insights and represent frontier research about likely social and economic challenges associated with ageing and demographic change in Europe and the appropriate policies for coping with them. Unlike projections of long-term economic growth or energy use, demographic forecasts tend to have comparatively low margins of error, even for forecasts half a century ahead. Traits that change systematically along age or cohort lines may therefore be projected with some degree of accuracy, which in turn can allow governments and individuals to better foresee and improve policies for predictable social change. The study will investigate two major topics, the first relating to human capital, skills, and work performance; the second relating to beliefs and attitudes in Europe. Understanding age variation in productivity and how to improve senior workers skills and capacities are paramount for ageing countries. Moreover, individual-level demographic behaviour can have aggregate level implications, including changing societal values and belief structures. The binding element is how such projections will improve one s capacity to foresee and hence develop more targeted policies that relate to ageing societies.
Summary
The central research theme of this proposal is the study of social change (skills, productivity, attitudes and beliefs) in Europe along cohort lines and as a function of changing age composition. Using demographic methods, age-specific and cohort-specific changes shall be quantitatively disentangled. The impact of migration flows as well as fertility differentials combined with intergenerational transmissions will be taken into account. It is expected that viewed together, these analyses will result in significant new insights and represent frontier research about likely social and economic challenges associated with ageing and demographic change in Europe and the appropriate policies for coping with them. Unlike projections of long-term economic growth or energy use, demographic forecasts tend to have comparatively low margins of error, even for forecasts half a century ahead. Traits that change systematically along age or cohort lines may therefore be projected with some degree of accuracy, which in turn can allow governments and individuals to better foresee and improve policies for predictable social change. The study will investigate two major topics, the first relating to human capital, skills, and work performance; the second relating to beliefs and attitudes in Europe. Understanding age variation in productivity and how to improve senior workers skills and capacities are paramount for ageing countries. Moreover, individual-level demographic behaviour can have aggregate level implications, including changing societal values and belief structures. The binding element is how such projections will improve one s capacity to foresee and hence develop more targeted policies that relate to ageing societies.
Max ERC Funding
981 415 €
Duration
Start date: 2009-10-01, End date: 2015-03-31
Project acronym COLLREGEN
Project Collagen scaffolds for bone regeneration: applied biomaterials, bioreactor and stem cell technology
Researcher (PI) Fergal Joseph O'brien
Host Institution (HI) ROYAL COLLEGE OF SURGEONS IN IRELAND
Call Details Starting Grant (StG), PE8, ERC-2009-StG
Summary Regenerative medicine aims to regenerate damaged tissues by developing functional cell, tissue, and organ substitutes to repair, replace or enhance biological function in damaged tissues. The focus of this research programme is to develop bone graft substitute biomaterials and laboratory-engineered bone tissue for implantation in damaged sites. At a simplistic level, biological tissues consist of cells, signalling mechanisms and extracellular matrix. Regenerative medicine/tissue engineering technologies are based on this biological triad and involve the successful interaction between three components: the scaffold that holds the cells together to create the tissues physical form, the cells that create the tissue, and the biological signalling mechanisms (such as growth factors or bioreactors) that direct the cells to express the desired tissue phenotype. The research proposed in this project includes specific projects in all three areas. The programme will be centred on the collagen-based biomaterials developed in the applicant s laboratory and will incorporate cutting edge stem cell technologies, growth factor delivery, gene therapy and bioreactor technology which will translate to in vivo tissue repair. This translational research programme will be divided into four specific themes: (i) development of novel osteoinductive and angiogenic smart scaffolds for bone tissue regeneration, (ii) scaffold and stem cell therapies for bone tissue regeneration, (iii) bone tissue engineering using a flow perfusion bioreactor and (iv) in vivo bone repair using engineered bone and smart scaffolds.
Summary
Regenerative medicine aims to regenerate damaged tissues by developing functional cell, tissue, and organ substitutes to repair, replace or enhance biological function in damaged tissues. The focus of this research programme is to develop bone graft substitute biomaterials and laboratory-engineered bone tissue for implantation in damaged sites. At a simplistic level, biological tissues consist of cells, signalling mechanisms and extracellular matrix. Regenerative medicine/tissue engineering technologies are based on this biological triad and involve the successful interaction between three components: the scaffold that holds the cells together to create the tissues physical form, the cells that create the tissue, and the biological signalling mechanisms (such as growth factors or bioreactors) that direct the cells to express the desired tissue phenotype. The research proposed in this project includes specific projects in all three areas. The programme will be centred on the collagen-based biomaterials developed in the applicant s laboratory and will incorporate cutting edge stem cell technologies, growth factor delivery, gene therapy and bioreactor technology which will translate to in vivo tissue repair. This translational research programme will be divided into four specific themes: (i) development of novel osteoinductive and angiogenic smart scaffolds for bone tissue regeneration, (ii) scaffold and stem cell therapies for bone tissue regeneration, (iii) bone tissue engineering using a flow perfusion bioreactor and (iv) in vivo bone repair using engineered bone and smart scaffolds.
Max ERC Funding
1 999 530 €
Duration
Start date: 2009-11-01, End date: 2015-09-30
Project acronym COMBOS
Project Collective phenomena in quantum and classical many body systems
Researcher (PI) Alessandro Giuliani
Host Institution (HI) UNIVERSITA DEGLI STUDI ROMA TRE
Call Details Starting Grant (StG), PE1, ERC-2009-StG
Summary The collective behavior of quantum and classical many body systems such as ultracold atomic gases, nanowires, cuprates and micromagnets are currently subject of an intense experimental and theoretical research worldwide. Understanding the fascinating phenomena of Bose-Einstein condensation, Luttinger liquid vs non-Luttinger liquid behavior, high temperature superconductivity, and spontaneous formation of periodic patterns in magnetic systems, is an exciting challenge for theoreticians. Most of these phenomena are still far from being fully understood, even from a heuristic point of view. Unveiling the exotic properties of such systems by rigorous mathematical analysis is an important and difficult challenge for mathematical physics. In the last two decades, substantial progress has been made on various aspects of many-body theory, including Fermi liquids, Luttinger liquids, perturbed Ising models at criticality, bosonization, trapped Bose gases and spontaneous formation of periodic patterns. The techniques successfully employed in this field are diverse, and range from constructive renormalization group to functional variational estimates. In this research project we propose to investigate a number of statistical mechanics models by a combination of different mathematical methods. The objective is, on the one hand, to understand crossover phenomena, phase transitions and low-temperature states with broken symmetry, which are of interest in the theory of condensed matter and that we believe to be accessible to the currently available methods; on the other, to develop new techiques combining different and complementary methods, such as multiscale analysis and localization bounds, or reflection positivity and cluster expansion, which may be useful to further progress on important open problems, such as Bose-Einstein condensation, conformal invariance in non-integrable models, existence of magnetic or superconducting long range order.
Summary
The collective behavior of quantum and classical many body systems such as ultracold atomic gases, nanowires, cuprates and micromagnets are currently subject of an intense experimental and theoretical research worldwide. Understanding the fascinating phenomena of Bose-Einstein condensation, Luttinger liquid vs non-Luttinger liquid behavior, high temperature superconductivity, and spontaneous formation of periodic patterns in magnetic systems, is an exciting challenge for theoreticians. Most of these phenomena are still far from being fully understood, even from a heuristic point of view. Unveiling the exotic properties of such systems by rigorous mathematical analysis is an important and difficult challenge for mathematical physics. In the last two decades, substantial progress has been made on various aspects of many-body theory, including Fermi liquids, Luttinger liquids, perturbed Ising models at criticality, bosonization, trapped Bose gases and spontaneous formation of periodic patterns. The techniques successfully employed in this field are diverse, and range from constructive renormalization group to functional variational estimates. In this research project we propose to investigate a number of statistical mechanics models by a combination of different mathematical methods. The objective is, on the one hand, to understand crossover phenomena, phase transitions and low-temperature states with broken symmetry, which are of interest in the theory of condensed matter and that we believe to be accessible to the currently available methods; on the other, to develop new techiques combining different and complementary methods, such as multiscale analysis and localization bounds, or reflection positivity and cluster expansion, which may be useful to further progress on important open problems, such as Bose-Einstein condensation, conformal invariance in non-integrable models, existence of magnetic or superconducting long range order.
Max ERC Funding
650 000 €
Duration
Start date: 2010-01-01, End date: 2014-12-31
Project acronym COMITAC
Project An integrated geoscientific study of the thermodynamics and composition of the Earth's core-mantle interface
Researcher (PI) James Wookey
Host Institution (HI) UNIVERSITY OF BRISTOL
Call Details Starting Grant (StG), PE10, ERC-2009-StG
Summary The core-mantle interface is the central cog in the Earth's titanic heat engine. As the boundary between the two major convecting parts of the Earth system (the solid silicate mantle and the liquid iron outer core) the properties of this region have a profound influence on the thermochemical and dynamic evolution of the entire planet, including tectonic phenomena at the surface. Evidence from seismology shows that D" (the lowermost few hundred kilometres of the mantle) is strongly heterogeneous in temperature, chemistry, structure and dynamics; this may dominate the long term evolution of the Earth's magnetic field and the morphology of mantle convection and chemical stratification, for example. Mapping and characterising this heterogeneity requires a detailed knowledge of the properties of the constituents and dynamics of D"; this is achievable by resolving its seismic anisotropy. The observation of anisotropy in the shallow lithosphere was an important piece of evidence for the theory of plate tectonics; now such a breakthrough is possible for the analogous deep boundary. We are at a critical juncture where developments in modelling strain in the mantle, petrofabrics and seismic wave propagation can be combined to produce a new generation of integrated models of D", embodying more complete information than any currently available. I propose a groundbreaking project to build such multidisciplinary models and to produce the first complete image of lowermost mantle anisotropy using the best available global, high resolution seismic dataset. The comparison of the models with these data is the key to making a fundamental improvement in our understanding of the thermodynamics and composition of the core-mantle interface, and illuminating its role in the wider Earth system.
Summary
The core-mantle interface is the central cog in the Earth's titanic heat engine. As the boundary between the two major convecting parts of the Earth system (the solid silicate mantle and the liquid iron outer core) the properties of this region have a profound influence on the thermochemical and dynamic evolution of the entire planet, including tectonic phenomena at the surface. Evidence from seismology shows that D" (the lowermost few hundred kilometres of the mantle) is strongly heterogeneous in temperature, chemistry, structure and dynamics; this may dominate the long term evolution of the Earth's magnetic field and the morphology of mantle convection and chemical stratification, for example. Mapping and characterising this heterogeneity requires a detailed knowledge of the properties of the constituents and dynamics of D"; this is achievable by resolving its seismic anisotropy. The observation of anisotropy in the shallow lithosphere was an important piece of evidence for the theory of plate tectonics; now such a breakthrough is possible for the analogous deep boundary. We are at a critical juncture where developments in modelling strain in the mantle, petrofabrics and seismic wave propagation can be combined to produce a new generation of integrated models of D", embodying more complete information than any currently available. I propose a groundbreaking project to build such multidisciplinary models and to produce the first complete image of lowermost mantle anisotropy using the best available global, high resolution seismic dataset. The comparison of the models with these data is the key to making a fundamental improvement in our understanding of the thermodynamics and composition of the core-mantle interface, and illuminating its role in the wider Earth system.
Max ERC Funding
1 639 615 €
Duration
Start date: 2009-09-01, End date: 2015-08-31
Project acronym COMPLEX REASON
Project The Parameterized Complexity of Reasoning Problems
Researcher (PI) Stefan Szeider
Host Institution (HI) TECHNISCHE UNIVERSITAET WIEN
Call Details Starting Grant (StG), PE6, ERC-2009-StG
Summary Reasoning, to derive conclusions from facts, is a fundamental task in Artificial Intelligence, arising in a wide range of applications from Robotics to Expert Systems. The aim of this project is to devise new efficient algorithms for real-world reasoning problems and to get new insights into the question of what makes a reasoning problem hard, and what makes it easy. As key to novel and groundbreaking results we propose to study reasoning problems within the framework of Parameterized Complexity, a new and rapidly emerging field of Algorithms and Complexity. Parameterized Complexity takes structural aspects of problem instances into account which are most significant for empirically observed problem-hardness. Most of the considered reasoning problems are intractable in general, but the real-world context of their origin provides structural information that can be made accessible to algorithms in form of parameters. This makes Parameterized Complexity an ideal setting for the analysis and efficient solution of these problems. A systematic study of the Parameterized Complexity of reasoning problems that covers theoretical and empirical aspects is so far outstanding. This proposal sets out to do exactly this and has therefore a great potential for groundbreaking new results. The proposed research aims at a significant impact on the research culture by setting the grounds for a closer cooperation between theorists and practitioners.
Summary
Reasoning, to derive conclusions from facts, is a fundamental task in Artificial Intelligence, arising in a wide range of applications from Robotics to Expert Systems. The aim of this project is to devise new efficient algorithms for real-world reasoning problems and to get new insights into the question of what makes a reasoning problem hard, and what makes it easy. As key to novel and groundbreaking results we propose to study reasoning problems within the framework of Parameterized Complexity, a new and rapidly emerging field of Algorithms and Complexity. Parameterized Complexity takes structural aspects of problem instances into account which are most significant for empirically observed problem-hardness. Most of the considered reasoning problems are intractable in general, but the real-world context of their origin provides structural information that can be made accessible to algorithms in form of parameters. This makes Parameterized Complexity an ideal setting for the analysis and efficient solution of these problems. A systematic study of the Parameterized Complexity of reasoning problems that covers theoretical and empirical aspects is so far outstanding. This proposal sets out to do exactly this and has therefore a great potential for groundbreaking new results. The proposed research aims at a significant impact on the research culture by setting the grounds for a closer cooperation between theorists and practitioners.
Max ERC Funding
1 421 130 €
Duration
Start date: 2010-01-01, End date: 2014-12-31
Project acronym CONLAWS
Project Hyperbolic Systems of Conservation Laws: singular limits, properties of solutions and control problems
Researcher (PI) Stefano Bianchini
Host Institution (HI) SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE
Call Details Starting Grant (StG), PE1, ERC-2009-StG
Summary The research program concerns various theoretic aspects of hyperbolic conservation laws. In first place we plan to study the existence and uniqueness of solutions to systems of equations of mathematical physics with physic viscosity. This is one of the main open problems within the theory of conservation laws in one space dimension, which cannot be tackled relying on the techniques developed in the case where the viscosity matrix is the identity. Furthermore, this represents a first step toward the analysis of more complex relaxation and kinetic models with a finite number of velocities as for Broadwell equation, or with a continuous distribution of velocities as for Boltzmann equation. A second research topic concerns the study of conservation laws with large data. Even in this case the basic model is provided by fluidodynamic equations. We wish to extend the results of existence, uniqueness and continuous dependence of solutions to the case of large (in BV or in L^infty) data, at least for the simplest systems of mathematical physics such as the isentropic gas dynamics. A third research topic that we wish to pursue concerns the analysis of fine properties of solutions to conservation laws. Many of such properties depend on the existence of one or more entropies of the system. In particular, we have in mind to study the regularity and the concentration of the dissipativity measure for an entropic solution of a system of conservation laws. Finally, we wish to continue the study of hyperbolic equations from the control theory point of view along two directions: (i) the analysis of controllability and asymptotic stabilizability properties; (ii) the study of optimal control problems related to hyperbolic systems.
Summary
The research program concerns various theoretic aspects of hyperbolic conservation laws. In first place we plan to study the existence and uniqueness of solutions to systems of equations of mathematical physics with physic viscosity. This is one of the main open problems within the theory of conservation laws in one space dimension, which cannot be tackled relying on the techniques developed in the case where the viscosity matrix is the identity. Furthermore, this represents a first step toward the analysis of more complex relaxation and kinetic models with a finite number of velocities as for Broadwell equation, or with a continuous distribution of velocities as for Boltzmann equation. A second research topic concerns the study of conservation laws with large data. Even in this case the basic model is provided by fluidodynamic equations. We wish to extend the results of existence, uniqueness and continuous dependence of solutions to the case of large (in BV or in L^infty) data, at least for the simplest systems of mathematical physics such as the isentropic gas dynamics. A third research topic that we wish to pursue concerns the analysis of fine properties of solutions to conservation laws. Many of such properties depend on the existence of one or more entropies of the system. In particular, we have in mind to study the regularity and the concentration of the dissipativity measure for an entropic solution of a system of conservation laws. Finally, we wish to continue the study of hyperbolic equations from the control theory point of view along two directions: (i) the analysis of controllability and asymptotic stabilizability properties; (ii) the study of optimal control problems related to hyperbolic systems.
Max ERC Funding
422 000 €
Duration
Start date: 2009-11-01, End date: 2013-10-31
Project acronym CONTACTMATH
Project Legendrian contact homology and generating families
Researcher (PI) Frédéric Bourgeois
Host Institution (HI) UNIVERSITE PARIS-SUD
Call Details Starting Grant (StG), PE1, ERC-2009-StG
Summary A contact structure on an odd dimensional manifold in a maximally non integrable hyperplane field. It is the odd dimensional counterpart of a symplectic structure. Contact and symplectic topology is a recent and very active area that studies intrinsic questions about existence, (non) uniqueness and rigidity of contact and symplectic structures. It is intimately related to many other important disciplines, such as dynamical systems, singularity theory, knot theory, Morse theory, complex analysis, ... Legendrian submanifolds are a distinguished class of submanifolds in a contact manifold, which are tangent to the contact distribution. These manifolds are of a particular interest in contact topology. Important classes of Legendrian submanifolds can be described using generating families, and this description can be used to define Legendrian invariants via Morse theory. Other the other hand, Legendrian contact homology is an invariant for Legendrian submanifolds, based on holomorphic curves. The goal of this research proposal is to study the relationship between these two approaches. More precisely, we plan to show that the generating family homology and the linearized Legendrian contact homology can be defined for the same class of Legendrian submanifolds, and are isomorphic. This correspondence should be established using a parametrized version of symplectic homology, being developed by the Principal Investigator in collaboration with Oancea. Such a result would give an entirely new type of information about holomorphic curves invariants. Moreover, it can be used to obtain more general structural results on linearized Legendrian contact homology, to extend recent results on existence of Reeb chords, and to gain a much better understanding of the geography of Legendrian submanifolds.
Summary
A contact structure on an odd dimensional manifold in a maximally non integrable hyperplane field. It is the odd dimensional counterpart of a symplectic structure. Contact and symplectic topology is a recent and very active area that studies intrinsic questions about existence, (non) uniqueness and rigidity of contact and symplectic structures. It is intimately related to many other important disciplines, such as dynamical systems, singularity theory, knot theory, Morse theory, complex analysis, ... Legendrian submanifolds are a distinguished class of submanifolds in a contact manifold, which are tangent to the contact distribution. These manifolds are of a particular interest in contact topology. Important classes of Legendrian submanifolds can be described using generating families, and this description can be used to define Legendrian invariants via Morse theory. Other the other hand, Legendrian contact homology is an invariant for Legendrian submanifolds, based on holomorphic curves. The goal of this research proposal is to study the relationship between these two approaches. More precisely, we plan to show that the generating family homology and the linearized Legendrian contact homology can be defined for the same class of Legendrian submanifolds, and are isomorphic. This correspondence should be established using a parametrized version of symplectic homology, being developed by the Principal Investigator in collaboration with Oancea. Such a result would give an entirely new type of information about holomorphic curves invariants. Moreover, it can be used to obtain more general structural results on linearized Legendrian contact homology, to extend recent results on existence of Reeb chords, and to gain a much better understanding of the geography of Legendrian submanifolds.
Max ERC Funding
710 000 €
Duration
Start date: 2009-11-01, End date: 2014-10-31
Project acronym CONVEXVISION
Project Convex Optimization Methods for Computer Vision and Image Analysis
Researcher (PI) Daniel Cremers
Host Institution (HI) TECHNISCHE UNIVERSITAET MUENCHEN
Call Details Starting Grant (StG), PE6, ERC-2009-StG
Summary Optimization methods have become an established paradigm to address most Computer Vision challenges including the
reconstruction of three-dimensional objects from multiple images, or the tracking of a deformable shape over time. Yet, it has
been largely overlooked that optimization approaches are practically useless if they do not come with efficient algorithms to
compute minimizers of respective energies. Most existing formulations give rise to non-convex energies. As a consequence,
solutions highly depend on the choice of minimization scheme and implementational (initialization, time step sizes, etc.), with
little or no guarantees regarding the quality of computed solutions and their robustness to perturbations of the input data.
In the proposed research project, we plan to develop optimization methods for Computer Vision which allow to efficiently
compute globally optimal solutions. Preliminary results indicate that this will drastically leverage the power of optimization
methods and their applicability in a substantially broader context. Specifically we will focus on three lines of research: 1) We
will develop convex formulations for a variety of challenges. While convex formulations are currently being developed for
low-level problems such as image segmentation, our main effort will focus on carrying convex optimization to higher level
problems of image understanding and scene interpretation. 2) We will investigate alternative strategies of global optimization
by means of discrete graph theoretic methods. We will characterize advantages and drawbacks of continuous and discrete
methods and thereby develop novel algorithms combining the advantages of both approaches. 3) We will go beyond convex
formulations, developing relaxation schemes that compute near-optimal solutions for problems that cannot be expressed by
convex functionals.
Summary
Optimization methods have become an established paradigm to address most Computer Vision challenges including the
reconstruction of three-dimensional objects from multiple images, or the tracking of a deformable shape over time. Yet, it has
been largely overlooked that optimization approaches are practically useless if they do not come with efficient algorithms to
compute minimizers of respective energies. Most existing formulations give rise to non-convex energies. As a consequence,
solutions highly depend on the choice of minimization scheme and implementational (initialization, time step sizes, etc.), with
little or no guarantees regarding the quality of computed solutions and their robustness to perturbations of the input data.
In the proposed research project, we plan to develop optimization methods for Computer Vision which allow to efficiently
compute globally optimal solutions. Preliminary results indicate that this will drastically leverage the power of optimization
methods and their applicability in a substantially broader context. Specifically we will focus on three lines of research: 1) We
will develop convex formulations for a variety of challenges. While convex formulations are currently being developed for
low-level problems such as image segmentation, our main effort will focus on carrying convex optimization to higher level
problems of image understanding and scene interpretation. 2) We will investigate alternative strategies of global optimization
by means of discrete graph theoretic methods. We will characterize advantages and drawbacks of continuous and discrete
methods and thereby develop novel algorithms combining the advantages of both approaches. 3) We will go beyond convex
formulations, developing relaxation schemes that compute near-optimal solutions for problems that cannot be expressed by
convex functionals.
Max ERC Funding
1 985 400 €
Duration
Start date: 2010-09-01, End date: 2015-08-31