Project acronym A-BINGOS
Project Accreting binary populations in Nearby Galaxies: Observations and Simulations
Researcher (PI) Andreas Zezas
Host Institution (HI) IDRYMA TECHNOLOGIAS KAI EREVNAS
Call Details Consolidator Grant (CoG), PE9, ERC-2013-CoG
Summary "High-energy observations of our Galaxy offer a good, albeit not complete, picture of the X-ray source populations, in particular the accreting binary sources. Recent ability to study accreting binaries in nearby galaxies has shown that we would be short-sighted if we restricted ourselves to our Galaxy or to a few nearby ones. I propose an ambitious project that involves a comprehensive study of all the galaxies within 10 Mpc for which we can study in detail their X-ray sources and stellar populations. The study will combine data from a unique suite of observatories (Chandra, XMM-Newton, HST, Spitzer) with state-of-the-art theoretical modelling of binary systems. I propose a novel approach that links the accreting binary populations to their parent stellar populations and surpasses any current studies of X-ray binary populations, both in scale and in scope, by: (a) combining methods and results from several different areas of astrophysics (compact objects, binary systems, stellar populations, galaxy evolution); (b) using data from almost the whole electromagnetic spectrum (infrared to X-ray bands); (c) identifying and studying the different sub-populations of accreting binaries; and (d) performing direct comparison between observations and theoretical predictions, over a broad parameter space. The project: (a) will answer the long-standing question of the formation efficiency of accreting binaries in different environments; and (b) will constrain their evolutionary paths. As by-products the project will provide eagerly awaited input to the fields of gravitational-wave sources, γ-ray bursts, and X-ray emitting galaxies at cosmological distances and it will produce a heritage multi-wavelength dataset and library of models for future studies of galaxies and accreting binaries."
Summary
"High-energy observations of our Galaxy offer a good, albeit not complete, picture of the X-ray source populations, in particular the accreting binary sources. Recent ability to study accreting binaries in nearby galaxies has shown that we would be short-sighted if we restricted ourselves to our Galaxy or to a few nearby ones. I propose an ambitious project that involves a comprehensive study of all the galaxies within 10 Mpc for which we can study in detail their X-ray sources and stellar populations. The study will combine data from a unique suite of observatories (Chandra, XMM-Newton, HST, Spitzer) with state-of-the-art theoretical modelling of binary systems. I propose a novel approach that links the accreting binary populations to their parent stellar populations and surpasses any current studies of X-ray binary populations, both in scale and in scope, by: (a) combining methods and results from several different areas of astrophysics (compact objects, binary systems, stellar populations, galaxy evolution); (b) using data from almost the whole electromagnetic spectrum (infrared to X-ray bands); (c) identifying and studying the different sub-populations of accreting binaries; and (d) performing direct comparison between observations and theoretical predictions, over a broad parameter space. The project: (a) will answer the long-standing question of the formation efficiency of accreting binaries in different environments; and (b) will constrain their evolutionary paths. As by-products the project will provide eagerly awaited input to the fields of gravitational-wave sources, γ-ray bursts, and X-ray emitting galaxies at cosmological distances and it will produce a heritage multi-wavelength dataset and library of models for future studies of galaxies and accreting binaries."
Max ERC Funding
1 242 000 €
Duration
Start date: 2014-04-01, End date: 2019-03-31
Project acronym BioWater
Project Development of new chemical imaging techniques to understand the function of water in biocompatibility, biodegradation and biofouling
Researcher (PI) Aoife Ann Gowen
Host Institution (HI) UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Call Details Starting Grant (StG), PE8, ERC-2013-StG
Summary Water is the first molecule to come into contact with biomaterials in biological systems and thus essential to the processes of biodegradation, biocompatibility and biofouling. Despite this fact, little is currently known about how biomaterials interact with water. This knowledge is crucial for the development and optimisation of novel functional biomaterials for human health (e.g. biosensing devices, erodible biomaterials, drug release carriers, wound dressings). BioWater will develop near and mid infrared chemical imaging (NIR-MIR-CI) techniques to investigate the fundamental interaction between biomaterials and water in order to understand the key processes of biodegradation, biocompatibility and biofouling. This ambitious yet achievable project will focus on two major categories of biomaterials relevant to human health: extracellular collagens and synthetic biopolymers. Initially, interactions between these biomaterials and water will be investigated; subsequently interactions with more complicated matrices (e.g. protein solutions and cellular systems) will be studied. CI data will be correlated with standard surface characterization, biocompatibility and biodegradation measurements. Molecular dynamic simulations will complement this work to identify the most probable molecular structures of water at different biomaterial interfaces.
Advanced understanding of the role of water in biocompatibility, biofouling and biodegradation processes will facilitate the optimization of biomaterials tailored to specific cellular environments with a broad range of therapeutic applications (e.g. drug eluting stents, tissue engineering, wound healing). The new NIR-MIR-CI/chemometric methodologies developed in BioWater will allow for the rapid characterization and monitoring of novel biomaterials at pre-clinical stages, improving process control by overcoming the laborious and time consuming large-scale sampling methods currently required in biomaterials development.
Summary
Water is the first molecule to come into contact with biomaterials in biological systems and thus essential to the processes of biodegradation, biocompatibility and biofouling. Despite this fact, little is currently known about how biomaterials interact with water. This knowledge is crucial for the development and optimisation of novel functional biomaterials for human health (e.g. biosensing devices, erodible biomaterials, drug release carriers, wound dressings). BioWater will develop near and mid infrared chemical imaging (NIR-MIR-CI) techniques to investigate the fundamental interaction between biomaterials and water in order to understand the key processes of biodegradation, biocompatibility and biofouling. This ambitious yet achievable project will focus on two major categories of biomaterials relevant to human health: extracellular collagens and synthetic biopolymers. Initially, interactions between these biomaterials and water will be investigated; subsequently interactions with more complicated matrices (e.g. protein solutions and cellular systems) will be studied. CI data will be correlated with standard surface characterization, biocompatibility and biodegradation measurements. Molecular dynamic simulations will complement this work to identify the most probable molecular structures of water at different biomaterial interfaces.
Advanced understanding of the role of water in biocompatibility, biofouling and biodegradation processes will facilitate the optimization of biomaterials tailored to specific cellular environments with a broad range of therapeutic applications (e.g. drug eluting stents, tissue engineering, wound healing). The new NIR-MIR-CI/chemometric methodologies developed in BioWater will allow for the rapid characterization and monitoring of novel biomaterials at pre-clinical stages, improving process control by overcoming the laborious and time consuming large-scale sampling methods currently required in biomaterials development.
Max ERC Funding
1 487 682 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym CAUSALPATH
Project Next Generation Causal Analysis: Inspired by the Induction of Biological Pathways from Cytometry Data
Researcher (PI) Ioannis Tsamardinos
Host Institution (HI) PANEPISTIMIO KRITIS
Call Details Consolidator Grant (CoG), PE6, ERC-2013-CoG
Summary Discovering the causal mechanisms of a complex system of interacting components is necessary in order to control it. Computational Causal Discovery (CD) is a field that offers the potential to discover causal relations under certain conditions from observational data alone or with a limited number of interventions/manipulations.
An important, challenging biological problem that may take decades of experimental work is the induction of biological cellular pathways; pathways are informal causal models indispensable in biological research and drug design. Recent exciting advances in flow/mass cytometry biotechnology allow the generation of large-sample datasets containing measurements on single cells, thus setting the problem of pathway learning suitable for CD methods.
CAUSALPATH builds upon and further advances recent breakthrough developments in CD methods to enable the induction of biological pathways from cytometry and other omics data. As a testbed problem we focus on the differentiation of human T-cells; these are involved in autoimmune and inflammatory diseases, as well as cancer and thus, are targets of new drug development for a range of chronic diseases. The biological problem acts as our campus for general novel formalisms, practical algorithms, and useful tools development, pointing to fundamental CD problems: presence of feedback cycles, presence of latent confounding variables, CD from time-course data, Integrative Causal Analysis (INCA) of heterogeneous datasets and others.
Three features complement CAUSALPATH’s approach: (A) methods development will co-evolve with biological wet-lab experiments periodically testing the algorithmic postulates, (B) Open-source tools will be developed for the non-expert, and (C) Commercial exploitation of the results will be sought out.
CAUSALPATH brings together an interdisciplinary team, committed to this vision. It builds upon the PI’s group recent important results on INCA algorithms.
Summary
Discovering the causal mechanisms of a complex system of interacting components is necessary in order to control it. Computational Causal Discovery (CD) is a field that offers the potential to discover causal relations under certain conditions from observational data alone or with a limited number of interventions/manipulations.
An important, challenging biological problem that may take decades of experimental work is the induction of biological cellular pathways; pathways are informal causal models indispensable in biological research and drug design. Recent exciting advances in flow/mass cytometry biotechnology allow the generation of large-sample datasets containing measurements on single cells, thus setting the problem of pathway learning suitable for CD methods.
CAUSALPATH builds upon and further advances recent breakthrough developments in CD methods to enable the induction of biological pathways from cytometry and other omics data. As a testbed problem we focus on the differentiation of human T-cells; these are involved in autoimmune and inflammatory diseases, as well as cancer and thus, are targets of new drug development for a range of chronic diseases. The biological problem acts as our campus for general novel formalisms, practical algorithms, and useful tools development, pointing to fundamental CD problems: presence of feedback cycles, presence of latent confounding variables, CD from time-course data, Integrative Causal Analysis (INCA) of heterogeneous datasets and others.
Three features complement CAUSALPATH’s approach: (A) methods development will co-evolve with biological wet-lab experiments periodically testing the algorithmic postulates, (B) Open-source tools will be developed for the non-expert, and (C) Commercial exploitation of the results will be sought out.
CAUSALPATH brings together an interdisciplinary team, committed to this vision. It builds upon the PI’s group recent important results on INCA algorithms.
Max ERC Funding
1 724 000 €
Duration
Start date: 2015-01-01, End date: 2019-12-31
Project acronym CiliaMechanoBio
Project Primary Cilium-Mediated Mesenchymal Stem Cell Mechanobiology in Bone
Researcher (PI) David Hoey
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Call Details Starting Grant (StG), PE8, ERC-2013-StG
Summary Every 30 seconds a person suffers an osteoporosis-related bone fracture in the EU, resulting in significant morbidity, mortality, and health-care costs estimated at €36billion annually. Current therapeutics target bone resorbing osteoclasts, but these are associated with severe side effects. Osteoporosis arises when mesenchymal stem cells (MSC) fail to produce sufficient numbers of bone forming osteoblasts. A key regulator of MSC behaviour is physical loading, yet the mechanisms by which MSCs sense and respond to changes in their mechanical environment are virtually unknown. Primary cilia are nearly ubiquitous ‘antennae-like’ cellular organelles that have very recently emerged as extracellular mechano/chemo-sensors and thus, are strong candidates to play a role in regulating MSC responses in bone. Therefore, the objective of this research program is to determine the role of the primary cilium and associated molecular components in the osteogenic differentiation and recruitment of human MSCs in loading-induced bone adaptation. This will be achieved through ground-breaking in vitro and in vivo techniques developed by the applicant. The knowledge generated in this proposal will represent a profound advance in our understanding of stem cell mechanobiology. In particular, the identification of the cilium and associated molecules as central to stem cell behaviour will lead to the direct manipulation of MSCs via novel cilia-targeted therapeutics that mimic the regenerative influence of loading at a molecular level. These novel therapeutics would therefore target bone formation, providing an alternative path to treatment, resulting in an improved supply of bone forming cells, preventing osteoporosis. Furthermore, these novel therapeutics will be incorporated into biomaterials, generating bioactive osteoinductive scaffolds. These advances will not only improve quality of life for the patient but will significantly reduce the financial burden of bone loss diseases in the EU.
Summary
Every 30 seconds a person suffers an osteoporosis-related bone fracture in the EU, resulting in significant morbidity, mortality, and health-care costs estimated at €36billion annually. Current therapeutics target bone resorbing osteoclasts, but these are associated with severe side effects. Osteoporosis arises when mesenchymal stem cells (MSC) fail to produce sufficient numbers of bone forming osteoblasts. A key regulator of MSC behaviour is physical loading, yet the mechanisms by which MSCs sense and respond to changes in their mechanical environment are virtually unknown. Primary cilia are nearly ubiquitous ‘antennae-like’ cellular organelles that have very recently emerged as extracellular mechano/chemo-sensors and thus, are strong candidates to play a role in regulating MSC responses in bone. Therefore, the objective of this research program is to determine the role of the primary cilium and associated molecular components in the osteogenic differentiation and recruitment of human MSCs in loading-induced bone adaptation. This will be achieved through ground-breaking in vitro and in vivo techniques developed by the applicant. The knowledge generated in this proposal will represent a profound advance in our understanding of stem cell mechanobiology. In particular, the identification of the cilium and associated molecules as central to stem cell behaviour will lead to the direct manipulation of MSCs via novel cilia-targeted therapeutics that mimic the regenerative influence of loading at a molecular level. These novel therapeutics would therefore target bone formation, providing an alternative path to treatment, resulting in an improved supply of bone forming cells, preventing osteoporosis. Furthermore, these novel therapeutics will be incorporated into biomaterials, generating bioactive osteoinductive scaffolds. These advances will not only improve quality of life for the patient but will significantly reduce the financial burden of bone loss diseases in the EU.
Max ERC Funding
1 455 068 €
Duration
Start date: 2013-11-01, End date: 2018-10-31
Project acronym DANCER
Project DAtacommunications based on NanophotoniC Resonators
Researcher (PI) John William Whelan-Curtin
Host Institution (HI) CORK INSTITUTE OF TECHNOLOGY
Call Details Starting Grant (StG), PE7, ERC-2013-StG
Summary A key challenge for the 21st century is, therefore to provide billions of people with the means to access, move and manipulate, what has become, huge volumes of information. The environmental and economic implications becoming serious, making energy efficient data communications key to the operation of today’s society.
In this project, the Principal Investigator will develop a new framework for optical interconnects and provide a common platform that spans Fibre-to-the-home to chip-to-chip links, even as far as global on-chip interconnects. The project is based on the efficient coupling of the Photonic Crystal resonators with the outside world. These provide the ultimate confinement of light in both space and time allowing orders of magnitude improvements in performance relative to the state of the art, yet in a simpler simple system- the innovator’s dream. New versions of the key components of optical links- light sources, modulators and photo-detectors- will be realised in this new framework providing a new paradigm for energy efficient communication.
Summary
A key challenge for the 21st century is, therefore to provide billions of people with the means to access, move and manipulate, what has become, huge volumes of information. The environmental and economic implications becoming serious, making energy efficient data communications key to the operation of today’s society.
In this project, the Principal Investigator will develop a new framework for optical interconnects and provide a common platform that spans Fibre-to-the-home to chip-to-chip links, even as far as global on-chip interconnects. The project is based on the efficient coupling of the Photonic Crystal resonators with the outside world. These provide the ultimate confinement of light in both space and time allowing orders of magnitude improvements in performance relative to the state of the art, yet in a simpler simple system- the innovator’s dream. New versions of the key components of optical links- light sources, modulators and photo-detectors- will be realised in this new framework providing a new paradigm for energy efficient communication.
Max ERC Funding
1 495 450 €
Duration
Start date: 2013-12-01, End date: 2019-05-31
Project acronym EVOLECOCOG
Project The evolutionary ecology of cognition across a heterogeneous landscape
Researcher (PI) John Leo Quinn
Host Institution (HI) UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK
Call Details Consolidator Grant (CoG), LS8, ERC-2013-CoG
Summary "Why do individuals vary in their cognitive abilities? This proposal takes the disciplines of cognition and evolutionary biology into a natural setting to answer this question by investigating a variety of proximate causes and population-level consequences of individual variation in cognitive ability. It represents the first large-scale integrative study of cognitive ability on any wild population. State of the art observational (remote sensing and automated self-administration trials of learning in the wild), chemical (stable isotope analysis of diet), physiological (stress, energetics, immunocompetence), molecular (DNA fingerprinting and metabarcoding) and analytical (reaction norm, quantitative genetic) techniques will be used. The chosen study system, the great tit Parus major, is one of the most widely used in Europe, but uniquely here will consist of 12 subpopulations across deciduous and conifer woodland fragments. The proposal’s broad scope is captured in three objectives: 1) To characterise proximate causes of variation in cognitive (associative/reversal learning; problem solving; brain size) and other traits (the reactive-proactive personality axis; bill morphology), all of which can influence similar ecologically important behaviour. Quantitative genetic, social, parasite-mediated, and physiological causes will be explored. 2) To examine links between these traits, and key behaviours and trade-offs, e.g., space use, niche specialization, predation, parental care and promiscuity; and 3) To examine the consequences of this variation for life histories and fitness. The research team consists of the PI, five early career biologists, and three PhD students, and will collaborate with eight researchers from Europe and further afield. The project will reveal ground-breaking insight into why individuals vary in their cognitive ability. It aims to impact a wide scientific community, to raise public interest in science, and to inform EU biodiversity policy."
Summary
"Why do individuals vary in their cognitive abilities? This proposal takes the disciplines of cognition and evolutionary biology into a natural setting to answer this question by investigating a variety of proximate causes and population-level consequences of individual variation in cognitive ability. It represents the first large-scale integrative study of cognitive ability on any wild population. State of the art observational (remote sensing and automated self-administration trials of learning in the wild), chemical (stable isotope analysis of diet), physiological (stress, energetics, immunocompetence), molecular (DNA fingerprinting and metabarcoding) and analytical (reaction norm, quantitative genetic) techniques will be used. The chosen study system, the great tit Parus major, is one of the most widely used in Europe, but uniquely here will consist of 12 subpopulations across deciduous and conifer woodland fragments. The proposal’s broad scope is captured in three objectives: 1) To characterise proximate causes of variation in cognitive (associative/reversal learning; problem solving; brain size) and other traits (the reactive-proactive personality axis; bill morphology), all of which can influence similar ecologically important behaviour. Quantitative genetic, social, parasite-mediated, and physiological causes will be explored. 2) To examine links between these traits, and key behaviours and trade-offs, e.g., space use, niche specialization, predation, parental care and promiscuity; and 3) To examine the consequences of this variation for life histories and fitness. The research team consists of the PI, five early career biologists, and three PhD students, and will collaborate with eight researchers from Europe and further afield. The project will reveal ground-breaking insight into why individuals vary in their cognitive ability. It aims to impact a wide scientific community, to raise public interest in science, and to inform EU biodiversity policy."
Max ERC Funding
1 993 189 €
Duration
Start date: 2015-03-01, End date: 2020-12-31
Project acronym MCs-inTEST
Project Mesenchymal Cells of the Lamina Propria in Intestinal Epithelial and Immunological Homeostasis
Researcher (PI) Georgios Kollias
Host Institution (HI) BIOMEDICAL SCIENCES RESEARCH CENTER ALEXANDER FLEMING
Call Details Advanced Grant (AdG), LS6, ERC-2013-ADG
Summary Mesenchymal cells (MCs) of the intestinal lamina propria refer to a variety of cell types, most commonly intestinal myofibroblasts, fibroblasts, pericytes, and mesenchymal stromal cells, which show many similarities in terms of origin, function and molecular markers. Understanding the physiological significance of MCs in epithelial and immunological homeostasis and the pathophysiology of chronic intestinal inflammatory and neoplastic disease remains a great challenge.
In this proposal, we put forward the challenging hypothesis that, especially during acute or chronic inflammatory and tumorigenic conditions, MCs play important physiological roles in intestinal homeostasis regulating key processes such as epithelial damage, regeneration and tumorigenesis, intestinal inflammation and lymphoid tissue formation. We further posit that a unifying principle underlying such functions would be the innate character of MCs, which we hypothesize are capable of directly sensing and metabolizing innate signals from microbiota or cytokines in order to exert homeostatic epithelial and immunological regulatory functions in the intestine.
We will be using genetic approaches to target innate pathways in MCs and state of the art phenotyping to discover the physiologically important signals orchestrating intestinal homeostasis in various animal models of intestinal pathophysiology. We will also study MC lineage relations and plasticity during disease and develop ways to interfere therapeutically with MC physiology to achieve translational added value for intestinal diseases, as well as for a range of other pathologies sharing similar characteristics.
Summary
Mesenchymal cells (MCs) of the intestinal lamina propria refer to a variety of cell types, most commonly intestinal myofibroblasts, fibroblasts, pericytes, and mesenchymal stromal cells, which show many similarities in terms of origin, function and molecular markers. Understanding the physiological significance of MCs in epithelial and immunological homeostasis and the pathophysiology of chronic intestinal inflammatory and neoplastic disease remains a great challenge.
In this proposal, we put forward the challenging hypothesis that, especially during acute or chronic inflammatory and tumorigenic conditions, MCs play important physiological roles in intestinal homeostasis regulating key processes such as epithelial damage, regeneration and tumorigenesis, intestinal inflammation and lymphoid tissue formation. We further posit that a unifying principle underlying such functions would be the innate character of MCs, which we hypothesize are capable of directly sensing and metabolizing innate signals from microbiota or cytokines in order to exert homeostatic epithelial and immunological regulatory functions in the intestine.
We will be using genetic approaches to target innate pathways in MCs and state of the art phenotyping to discover the physiologically important signals orchestrating intestinal homeostasis in various animal models of intestinal pathophysiology. We will also study MC lineage relations and plasticity during disease and develop ways to interfere therapeutically with MC physiology to achieve translational added value for intestinal diseases, as well as for a range of other pathologies sharing similar characteristics.
Max ERC Funding
2 590 000 €
Duration
Start date: 2014-07-01, End date: 2019-06-30
Project acronym NetVolution
Project Evolving Internet Routing:
A Paradigm Shift to Foster Innovation
Researcher (PI) Christos-Xenofon Dimitropoulos
Host Institution (HI) IDRYMA TECHNOLOGIAS KAI EREVNAS
Call Details Starting Grant (StG), PE7, ERC-2013-StG
Summary Although the Internet is a great technological achievement, more than 40 years after its creation some of its original security and reliability problems remain unsolved. The root cause of these problems is the rigidity of the Internet architecture or in other words the Internet ossification problem, i.e., the basic architectural components of the Internet are set to stone and cannot be changed. The most ossified component of the Internet architecture is the inter-domain routing system.
In this project, our goal is to address this challenge and to introduce a new Internet routing architecture that 1) enables innovation at the inter-domain level, 2) is backward-compatible with the present Internet architecture, and 3) provides concrete economic incentives for adopting it. We propose a new Internet routing paradigm based on a novel techno-economic framework, which exploits emerging technologies and meets these three goals. Our novel idea is that the combination of routing control logic outsourcing with Software Defined Networking (SDN) principles enables to innovate at the inter-domain level and therefore has the potential for a major break-through in the architecture of the Internet routing system. SDN is a rapidly emerging new computer networking architecture that makes the routing control plane of a network programmable. Based on our framework, we propose to design, build, and verify a better inter-domain routing system, which solves fundamental security, reliability, and manageability problems of the Internet architecture. Our work will be organized in four core topics 1) build a mutli-domain centralized routing control platform, 2) improve the reliability and security of the current inter-domain routing system, 3) design techniques for resolving tussles between competing network domains, 4) introduce advanced network monitoring and security techniques that intelligently correlate data from multiple domain to diagnose routing outages and attacks.
Summary
Although the Internet is a great technological achievement, more than 40 years after its creation some of its original security and reliability problems remain unsolved. The root cause of these problems is the rigidity of the Internet architecture or in other words the Internet ossification problem, i.e., the basic architectural components of the Internet are set to stone and cannot be changed. The most ossified component of the Internet architecture is the inter-domain routing system.
In this project, our goal is to address this challenge and to introduce a new Internet routing architecture that 1) enables innovation at the inter-domain level, 2) is backward-compatible with the present Internet architecture, and 3) provides concrete economic incentives for adopting it. We propose a new Internet routing paradigm based on a novel techno-economic framework, which exploits emerging technologies and meets these three goals. Our novel idea is that the combination of routing control logic outsourcing with Software Defined Networking (SDN) principles enables to innovate at the inter-domain level and therefore has the potential for a major break-through in the architecture of the Internet routing system. SDN is a rapidly emerging new computer networking architecture that makes the routing control plane of a network programmable. Based on our framework, we propose to design, build, and verify a better inter-domain routing system, which solves fundamental security, reliability, and manageability problems of the Internet architecture. Our work will be organized in four core topics 1) build a mutli-domain centralized routing control platform, 2) improve the reliability and security of the current inter-domain routing system, 3) design techniques for resolving tussles between competing network domains, 4) introduce advanced network monitoring and security techniques that intelligently correlate data from multiple domain to diagnose routing outages and attacks.
Max ERC Funding
1 410 600 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
