Project acronym ACDC
Project Algorithms and Complexity of Highly Decentralized Computations
Researcher (PI) Fabian Daniel Kuhn
Host Institution (HI) ALBERT-LUDWIGS-UNIVERSITAET FREIBURG
Country Germany
Call Details Starting Grant (StG), PE6, ERC-2013-StG
Summary "Many of today's and tomorrow's computer systems are built on top of large-scale networks such as, e.g., the Internet, the world wide web, wireless ad hoc and sensor networks, or peer-to-peer networks. Driven by technological advances, new kinds of networks and applications have become possible and we can safely assume that this trend is going to continue. Often modern systems are envisioned to consist of a potentially large number of individual components that are organized in a completely decentralized way. There is no central authority that controls the topology of the network, how nodes join or leave the system, or in which way nodes communicate with each other. Also, many future distributed applications will be built using wireless devices that communicate via radio.
The general objective of the proposed project is to improve our understanding of the algorithmic and theoretical foundations of decentralized distributed systems. From an algorithmic point of view, decentralized networks and computations pose a number of fascinating and unique challenges that are not present in sequential or more standard distributed systems. As communication is limited and mostly between nearby nodes, each node of a large network can only maintain a very restricted view of the global state of the system. This is particularly true if the network can change dynamically, either by nodes joining or leaving the system or if the topology changes over time, e.g., because of the mobility of the devices in case of a wireless network. Nevertheless, the nodes of a network need to coordinate in order to achieve some global goal.
In particular, we plan to study algorithms and lower bounds for basic computation and information dissemination tasks in such systems. In addition, we are particularly interested in the complexity of distributed computations in dynamic and wireless networks."
Summary
"Many of today's and tomorrow's computer systems are built on top of large-scale networks such as, e.g., the Internet, the world wide web, wireless ad hoc and sensor networks, or peer-to-peer networks. Driven by technological advances, new kinds of networks and applications have become possible and we can safely assume that this trend is going to continue. Often modern systems are envisioned to consist of a potentially large number of individual components that are organized in a completely decentralized way. There is no central authority that controls the topology of the network, how nodes join or leave the system, or in which way nodes communicate with each other. Also, many future distributed applications will be built using wireless devices that communicate via radio.
The general objective of the proposed project is to improve our understanding of the algorithmic and theoretical foundations of decentralized distributed systems. From an algorithmic point of view, decentralized networks and computations pose a number of fascinating and unique challenges that are not present in sequential or more standard distributed systems. As communication is limited and mostly between nearby nodes, each node of a large network can only maintain a very restricted view of the global state of the system. This is particularly true if the network can change dynamically, either by nodes joining or leaving the system or if the topology changes over time, e.g., because of the mobility of the devices in case of a wireless network. Nevertheless, the nodes of a network need to coordinate in order to achieve some global goal.
In particular, we plan to study algorithms and lower bounds for basic computation and information dissemination tasks in such systems. In addition, we are particularly interested in the complexity of distributed computations in dynamic and wireless networks."
Max ERC Funding
1 148 000 €
Duration
Start date: 2013-11-01, End date: 2018-10-31
Project acronym ANTI-ATOM
Project Many-body theory of antimatter interactions with atoms, molecules and condensed matter
Researcher (PI) Dermot GREEN
Host Institution (HI) THE QUEEN'S UNIVERSITY OF BELFAST
Country United Kingdom
Call Details Starting Grant (StG), PE2, ERC-2018-STG
Summary The ability of positrons to annihilate with electrons, producing characteristic gamma rays, gives them important use in medicine via positron-emission tomography (PET), diagnostics of industrially-important materials, and in elucidating astrophysical phenomena. Moreover, the fundamental interactions of positrons and positronium (Ps) with atoms, molecules and condensed matter are currently under intensive study in numerous international laboratories, to illuminate collision phenomena and perform precision tests of fundamental laws.
Proper interpretation and development of these costly and difficult experiments requires accurate calculations of low-energy positron and Ps interactions with normal matter. These systems, however, involve strong correlations, e.g., polarisation of the atom and virtual-Ps formation (where an atomic electron tunnels to the positron): they significantly effect positron- and Ps-atom/molecule interactions, e.g., enhancing annihilation rates by many orders of magnitude, and making the accurate description of these systems a challenging many-body problem. Current theoretical capability lags severely behind that of experiment. Major theoretical and computational developments are required to bridge the gap.
One powerful method, which accounts for the correlations in a natural, transparent and systematic way, is many-body theory (MBT). Building on my expertise in the field, I propose to develop new MBT to deliver unique and unrivalled capability in theory and computation of low-energy positron and Ps interactions with atoms, molecules, and condensed matter. The ambitious programme will provide the basic understanding required to interpret and develop the fundamental experiments, antimatter-based materials science techniques, and wider technologies, e.g., (PET), and more broadly, potentially revolutionary and generally applicable computational methodologies that promise to define a new level of high-precision in atomic-MBT calculations.
Summary
The ability of positrons to annihilate with electrons, producing characteristic gamma rays, gives them important use in medicine via positron-emission tomography (PET), diagnostics of industrially-important materials, and in elucidating astrophysical phenomena. Moreover, the fundamental interactions of positrons and positronium (Ps) with atoms, molecules and condensed matter are currently under intensive study in numerous international laboratories, to illuminate collision phenomena and perform precision tests of fundamental laws.
Proper interpretation and development of these costly and difficult experiments requires accurate calculations of low-energy positron and Ps interactions with normal matter. These systems, however, involve strong correlations, e.g., polarisation of the atom and virtual-Ps formation (where an atomic electron tunnels to the positron): they significantly effect positron- and Ps-atom/molecule interactions, e.g., enhancing annihilation rates by many orders of magnitude, and making the accurate description of these systems a challenging many-body problem. Current theoretical capability lags severely behind that of experiment. Major theoretical and computational developments are required to bridge the gap.
One powerful method, which accounts for the correlations in a natural, transparent and systematic way, is many-body theory (MBT). Building on my expertise in the field, I propose to develop new MBT to deliver unique and unrivalled capability in theory and computation of low-energy positron and Ps interactions with atoms, molecules, and condensed matter. The ambitious programme will provide the basic understanding required to interpret and develop the fundamental experiments, antimatter-based materials science techniques, and wider technologies, e.g., (PET), and more broadly, potentially revolutionary and generally applicable computational methodologies that promise to define a new level of high-precision in atomic-MBT calculations.
Max ERC Funding
1 318 419 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym ANTICIPATE
Project Anticipatory Human-Computer Interaction
Researcher (PI) Andreas BULLING
Host Institution (HI) UNIVERSITAET STUTTGART
Country Germany
Call Details Starting Grant (StG), PE6, ERC-2018-STG
Summary Even after three decades of research on human-computer interaction (HCI), current general-purpose user interfaces (UI) still lack the ability to attribute mental states to their users, i.e. they fail to understand users' intentions and needs and to anticipate their actions. This drastically restricts their interactive capabilities.
ANTICIPATE aims to establish the scientific foundations for a new generation of user interfaces that pro-actively adapt to users' future input actions by monitoring their attention and predicting their interaction intentions - thereby significantly improving the naturalness, efficiency, and user experience of the interactions. Realising this vision of anticipatory human-computer interaction requires groundbreaking advances in everyday sensing of user attention from eye and brain activity. We will further pioneer methods to predict entangled user intentions and forecast interactive behaviour with fine temporal granularity during interactions in everyday stationary and mobile settings. Finally, we will develop fundamental interaction paradigms that enable anticipatory UIs to pro-actively adapt to users' attention and intentions in a mindful way. The new capabilities will be demonstrated in four challenging cases: 1) mobile information retrieval, 2) intelligent notification management, 3) Autism diagnosis and monitoring, and 4) computer-based training.
Anticipatory human-computer interaction offers a strong complement to existing UI paradigms that only react to user input post-hoc. If successful, ANTICIPATE will deliver the first important building blocks for implementing Theory of Mind in general-purpose UIs. As such, the project has the potential to drastically improve the billions of interactions we perform with computers every day, to trigger a wide range of follow-up research in HCI as well as adjacent areas within and outside computer science, and to act as a key technical enabler for new applications, e.g. in healthcare and education.
Summary
Even after three decades of research on human-computer interaction (HCI), current general-purpose user interfaces (UI) still lack the ability to attribute mental states to their users, i.e. they fail to understand users' intentions and needs and to anticipate their actions. This drastically restricts their interactive capabilities.
ANTICIPATE aims to establish the scientific foundations for a new generation of user interfaces that pro-actively adapt to users' future input actions by monitoring their attention and predicting their interaction intentions - thereby significantly improving the naturalness, efficiency, and user experience of the interactions. Realising this vision of anticipatory human-computer interaction requires groundbreaking advances in everyday sensing of user attention from eye and brain activity. We will further pioneer methods to predict entangled user intentions and forecast interactive behaviour with fine temporal granularity during interactions in everyday stationary and mobile settings. Finally, we will develop fundamental interaction paradigms that enable anticipatory UIs to pro-actively adapt to users' attention and intentions in a mindful way. The new capabilities will be demonstrated in four challenging cases: 1) mobile information retrieval, 2) intelligent notification management, 3) Autism diagnosis and monitoring, and 4) computer-based training.
Anticipatory human-computer interaction offers a strong complement to existing UI paradigms that only react to user input post-hoc. If successful, ANTICIPATE will deliver the first important building blocks for implementing Theory of Mind in general-purpose UIs. As such, the project has the potential to drastically improve the billions of interactions we perform with computers every day, to trigger a wide range of follow-up research in HCI as well as adjacent areas within and outside computer science, and to act as a key technical enabler for new applications, e.g. in healthcare and education.
Max ERC Funding
1 499 625 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym ANYON
Project Engineering and exploring anyonic quantum gases
Researcher (PI) Christof WEITENBERG
Host Institution (HI) UNIVERSITAET HAMBURG
Country Germany
Call Details Starting Grant (StG), PE2, ERC-2018-STG
Summary This project enters the experimental investigation of anyonic quantum gases. We will study anyons – conjectured particles with a statistical exchange phase anywhere between 0 and π – in different many-body systems. This progress will be enabled by a unique approach of bringing together artificial gauge fields and quantum gas microscopes for ultracold atoms.
Specifically, we will implement the 1D anyon Hubbard model via a lattice shaking protocol that imprints density-dependent Peierls phases. By engineering the statistical exchange phase, we can continuously tune between bosons and fermions and explore a statistically-induced quantum phase transition. We will monitor the continuous fermionization via the build-up of Friedel oscillations. Using state-of-the-art cold atom technology, we will thus open the physics of anyons to experimental research and address open questions related to their fractional exclusion statistics.
Secondly, we will create fractional quantum Hall systems in rapidly rotating microtraps. Using the quantum gas microscope, we will i) control the optical potentials at a level which allows approaching the centrifugal limit and ii) use small atom numbers equal to the inserted angular momentum quantum number. The strongly-correlated ground states such as the Laughlin state can be identified via their characteristic density correlations. Of particular interest are the quasihole excitations, whose predicted anyonic exchange statistics have not been directly observed to date. We will probe and test their statistics via the characteristic counting sequence in the excitation spectrum. Furthermore, we will test ideas to transfer anyonic properties of the excitations to a second tracer species. This approach will enable us to both probe the fractional exclusion statistics of the excitations and to create a 2D anyonic quantum gas.
In the long run, these techniques open a path to also study non-Abelian anyons with ultracold atoms.
Summary
This project enters the experimental investigation of anyonic quantum gases. We will study anyons – conjectured particles with a statistical exchange phase anywhere between 0 and π – in different many-body systems. This progress will be enabled by a unique approach of bringing together artificial gauge fields and quantum gas microscopes for ultracold atoms.
Specifically, we will implement the 1D anyon Hubbard model via a lattice shaking protocol that imprints density-dependent Peierls phases. By engineering the statistical exchange phase, we can continuously tune between bosons and fermions and explore a statistically-induced quantum phase transition. We will monitor the continuous fermionization via the build-up of Friedel oscillations. Using state-of-the-art cold atom technology, we will thus open the physics of anyons to experimental research and address open questions related to their fractional exclusion statistics.
Secondly, we will create fractional quantum Hall systems in rapidly rotating microtraps. Using the quantum gas microscope, we will i) control the optical potentials at a level which allows approaching the centrifugal limit and ii) use small atom numbers equal to the inserted angular momentum quantum number. The strongly-correlated ground states such as the Laughlin state can be identified via their characteristic density correlations. Of particular interest are the quasihole excitations, whose predicted anyonic exchange statistics have not been directly observed to date. We will probe and test their statistics via the characteristic counting sequence in the excitation spectrum. Furthermore, we will test ideas to transfer anyonic properties of the excitations to a second tracer species. This approach will enable us to both probe the fractional exclusion statistics of the excitations and to create a 2D anyonic quantum gas.
In the long run, these techniques open a path to also study non-Abelian anyons with ultracold atoms.
Max ERC Funding
1 497 500 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym APPLAUSE
Project Adolescent Precursors to Psychiatric Disorders – Learing from Analysis of User-Service Engagement
Researcher (PI) Sara Evans
Host Institution (HI) LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
Country United Kingdom
Call Details Starting Grant (StG), LS7, ERC-2013-StG
Summary APPLAUSE’s aim is to produce a body of evidence that illustrates how young people with mental health problems currently interact with both formal mental health services and informal social and familial support structures. Careful analysis of data gathered in the UK and Brazil will allow formulation of globally relevant insights into mental health care delivery for young people, which will be presented internationally as a resource for future health care service design.
APPLAUSE will allow the collection of an important data set that does not currently exist in this field, and will look to other disciplines for innovative approaches to data analysis. Whist standard analysis may allow for snapshots of health service use, using innovative life course methods will allow us to to characterise patterns of complete service use of each individual participant’s experience of accessing mental health care and social support.
Adolescence is a critical period in mental health development, which has been largely neglected by public health efforts. Psychiatric disorders rank as the primary cause of disability among individuals aged 10-24 years, worldwide. Moreover, many health risk behaviours emerge during adolescence and 70% of adult psychiatric disorders are preceded by mental health problems during adolescent years. However, delays to receiving care for psychiatric disorders, following disorder onset, avreage more than ten years and little is known about factors which impede access to and continuity of care among young people with mental health problems. APPLAUSE will analyse current access models, reports of individual experiences of positive and negative interactions with health care services and the culturally embedded social factors that impact on such access. Addressing this complex problem from a global perspective will advance the development of a more diverse and innovative set of strategies for improving earlier access to care.
Summary
APPLAUSE’s aim is to produce a body of evidence that illustrates how young people with mental health problems currently interact with both formal mental health services and informal social and familial support structures. Careful analysis of data gathered in the UK and Brazil will allow formulation of globally relevant insights into mental health care delivery for young people, which will be presented internationally as a resource for future health care service design.
APPLAUSE will allow the collection of an important data set that does not currently exist in this field, and will look to other disciplines for innovative approaches to data analysis. Whist standard analysis may allow for snapshots of health service use, using innovative life course methods will allow us to to characterise patterns of complete service use of each individual participant’s experience of accessing mental health care and social support.
Adolescence is a critical period in mental health development, which has been largely neglected by public health efforts. Psychiatric disorders rank as the primary cause of disability among individuals aged 10-24 years, worldwide. Moreover, many health risk behaviours emerge during adolescence and 70% of adult psychiatric disorders are preceded by mental health problems during adolescent years. However, delays to receiving care for psychiatric disorders, following disorder onset, avreage more than ten years and little is known about factors which impede access to and continuity of care among young people with mental health problems. APPLAUSE will analyse current access models, reports of individual experiences of positive and negative interactions with health care services and the culturally embedded social factors that impact on such access. Addressing this complex problem from a global perspective will advance the development of a more diverse and innovative set of strategies for improving earlier access to care.
Max ERC Funding
1 499 948 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym BIO-IRT
Project Biologically individualized, model-based radiotherapy on the basis of multi-parametric molecular tumour profiling
Researcher (PI) Daniela Thorwarth
Host Institution (HI) EBERHARD KARLS UNIVERSITAET TUEBINGEN
Country Germany
Call Details Starting Grant (StG), LS7, ERC-2013-StG
Summary High precision radiotherapy (RT) allows extremely flexible tumour treatments achieving highly conformal radiation doses while sparing surrounding organs at risk. Nevertheless, failure rates of up to 50% are reported for head and neck cancer (HNC) due to radiation resistance induced by pathophysiologic factors such as hypoxia and other clinical factors as HPV-status, stage and tumour volume.
This project aims at developing a multi-parametric model for individualized RT (iRT) dose prescriptions in HNC based on biological markers and functional PET/MR imaging. This project goes far beyond current research standards and clinical practice as it aims for establishing hypoxia PET and f-MRI as well as biological markers in HNC as a role model for a novel concept from anatomy-based to biologically iRT.
During this project, a multi-parametric model will be developed on a preclinical basis that combines biological markers such as different oncogenes and hypoxia gene classifier with functional PET/MR imaging, such as FMISO PET in combination with different f-MRI techniques, like DW-, DCE- and BOLD-MRI in addition to MR spectroscopy. The ultimate goal of this project is a multi-parametric model to predict therapy outcome and guide iRT.
In a second part, a clinical study will be carried out to validate the preclinical model in patients. Based on the most informative radiobiological and imaging parameters as identified during the pre-clinical phase, biological markers and advanced PET/MR imaging will be evaluated in terms of their potential for iRT dose prescription.
Successful development of a model for biologically iRT prescription on the basis of multi-parametric molecular profiling would provide a unique basis for personalized cancer treatment. A validated multi-parametric model for RT outcome would represent a paradigm shift from anatomy-based to biologically iRT concepts with the ultimate goal of improving cancer cure rates.
Summary
High precision radiotherapy (RT) allows extremely flexible tumour treatments achieving highly conformal radiation doses while sparing surrounding organs at risk. Nevertheless, failure rates of up to 50% are reported for head and neck cancer (HNC) due to radiation resistance induced by pathophysiologic factors such as hypoxia and other clinical factors as HPV-status, stage and tumour volume.
This project aims at developing a multi-parametric model for individualized RT (iRT) dose prescriptions in HNC based on biological markers and functional PET/MR imaging. This project goes far beyond current research standards and clinical practice as it aims for establishing hypoxia PET and f-MRI as well as biological markers in HNC as a role model for a novel concept from anatomy-based to biologically iRT.
During this project, a multi-parametric model will be developed on a preclinical basis that combines biological markers such as different oncogenes and hypoxia gene classifier with functional PET/MR imaging, such as FMISO PET in combination with different f-MRI techniques, like DW-, DCE- and BOLD-MRI in addition to MR spectroscopy. The ultimate goal of this project is a multi-parametric model to predict therapy outcome and guide iRT.
In a second part, a clinical study will be carried out to validate the preclinical model in patients. Based on the most informative radiobiological and imaging parameters as identified during the pre-clinical phase, biological markers and advanced PET/MR imaging will be evaluated in terms of their potential for iRT dose prescription.
Successful development of a model for biologically iRT prescription on the basis of multi-parametric molecular profiling would provide a unique basis for personalized cancer treatment. A validated multi-parametric model for RT outcome would represent a paradigm shift from anatomy-based to biologically iRT concepts with the ultimate goal of improving cancer cure rates.
Max ERC Funding
1 370 799 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym CancerExomesInPlasma
Project Non-invasive genomic analysis of cancer using circulating tumour DNA
Researcher (PI) Nitzan Rosenfeld
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE
Country United Kingdom
Call Details Starting Grant (StG), LS7, ERC-2013-StG
Summary Non-invasive genomic analysis of cancer can revolutionize the study of tumour evolution, heterogeneity, and drug resistance. Clinically applied, this can transform current practice in cancer diagnosis and management. Cell-free DNA in plasma contains tumour-specific sequences. This circulating tumour DNA (ctDNA) is a promising source of genomic and diagnostic information, readily accessible non-invasively. The study of ctDNA is therefore timely and of great importance. But it is also very challenging. Measurement can be complex, and high-quality samples are not easily obtained. Though progress has been made, much remains to be discovered.
My lab pioneered the use of targeted sequencing to analyse mutations in ctDNA. We recently developed a ground-breaking paradigm for analysing evolving cancer genomes in plasma DNA, combining ctDNA quantification with exome-sequencing of serial plasma samples. Applied to extensive sets of clinical samples my lab has characterized, this will enable large-scale exploration of acquired drug resistance with unprecedented resolution. CancerExomesInPlasma aims to use ctDNA for genome-wide analysis of tumour evolution, as a means for non-invasive, unbiased discovery of genes and pathways involved in resistance to cancer therapy.
Summary
Non-invasive genomic analysis of cancer can revolutionize the study of tumour evolution, heterogeneity, and drug resistance. Clinically applied, this can transform current practice in cancer diagnosis and management. Cell-free DNA in plasma contains tumour-specific sequences. This circulating tumour DNA (ctDNA) is a promising source of genomic and diagnostic information, readily accessible non-invasively. The study of ctDNA is therefore timely and of great importance. But it is also very challenging. Measurement can be complex, and high-quality samples are not easily obtained. Though progress has been made, much remains to be discovered.
My lab pioneered the use of targeted sequencing to analyse mutations in ctDNA. We recently developed a ground-breaking paradigm for analysing evolving cancer genomes in plasma DNA, combining ctDNA quantification with exome-sequencing of serial plasma samples. Applied to extensive sets of clinical samples my lab has characterized, this will enable large-scale exploration of acquired drug resistance with unprecedented resolution. CancerExomesInPlasma aims to use ctDNA for genome-wide analysis of tumour evolution, as a means for non-invasive, unbiased discovery of genes and pathways involved in resistance to cancer therapy.
Max ERC Funding
1 769 380 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym CapReal
Project Performance Capture of the Real World in Motion
Researcher (PI) Christian Theobalt
Host Institution (HI) Klinik Max Planck Institut für Psychiatrie
Country Germany
Call Details Starting Grant (StG), PE6, ERC-2013-StG
Summary Computer graphics technology for realistic rendering has improved
dramatically; however, the technology to create scene models to be rendered,
e.g., for movies, has not developed at the same pace. In practice, the state
of the art in model creation still requires months of complex manual design,
and this is a serious threat to progress. To attack this problem, computer
graphics and computer vision researchers jointly developed methods that
capture scene models from real world examples. Of particular importance is
the capturing of moving scenes. The pinnacle of dynamic scene capture
technology in research is marker-less performance capture. From multi-view
video, they capture dynamic surface and texture models of the real world.
Performance capture is hardly used in practice due to profound limitations:
recording is usually limited to indoor studios, controlled lighting, and
dense static camera arrays. Methods are often limited to single objects, and
reconstructed shape detail is very limited. Assumptions about materials,
reflectance, and lighting in a scene are simplistic, and we cannot easily
modify captured data.
In this project, we will pioneer a new generation of performance capture
techniques to overcome these limitations. Our methods will allow the
reconstruction of dynamic surface models of unprecedented shape detail. They
will succeed on general scenes outside of the lab and outdoors, scenes with
complex material and reflectance distributions, and scenes in which lighting
is general, uncontrolled, and unknown. They will capture dense and crowded
scenes with complex shape deformations. They will reconstruct conveniently
modifiable scene models. They will work with sparse and moving sets of
cameras, ultimately even with mobile phones. This far-reaching,
multi-disciplinary project will turn performance capture from a research
technology into a practical technology, provide groundbreaking scientific
insights, and open up revolutionary new applications.
Summary
Computer graphics technology for realistic rendering has improved
dramatically; however, the technology to create scene models to be rendered,
e.g., for movies, has not developed at the same pace. In practice, the state
of the art in model creation still requires months of complex manual design,
and this is a serious threat to progress. To attack this problem, computer
graphics and computer vision researchers jointly developed methods that
capture scene models from real world examples. Of particular importance is
the capturing of moving scenes. The pinnacle of dynamic scene capture
technology in research is marker-less performance capture. From multi-view
video, they capture dynamic surface and texture models of the real world.
Performance capture is hardly used in practice due to profound limitations:
recording is usually limited to indoor studios, controlled lighting, and
dense static camera arrays. Methods are often limited to single objects, and
reconstructed shape detail is very limited. Assumptions about materials,
reflectance, and lighting in a scene are simplistic, and we cannot easily
modify captured data.
In this project, we will pioneer a new generation of performance capture
techniques to overcome these limitations. Our methods will allow the
reconstruction of dynamic surface models of unprecedented shape detail. They
will succeed on general scenes outside of the lab and outdoors, scenes with
complex material and reflectance distributions, and scenes in which lighting
is general, uncontrolled, and unknown. They will capture dense and crowded
scenes with complex shape deformations. They will reconstruct conveniently
modifiable scene models. They will work with sparse and moving sets of
cameras, ultimately even with mobile phones. This far-reaching,
multi-disciplinary project will turn performance capture from a research
technology into a practical technology, provide groundbreaking scientific
insights, and open up revolutionary new applications.
Max ERC Funding
1 480 800 €
Duration
Start date: 2013-09-01, End date: 2018-08-31
Project acronym CLOC
Project Cultured Liver Organoids for Investigation and Treatment of Inherited Cholestatic Diseases
Researcher (PI) Paul Gissen
Host Institution (HI) University College London
Country United Kingdom
Call Details Starting Grant (StG), LS7, ERC-2013-StG
Summary "Bile synthesis and secretion are crucial to liver function and involve multiple proteins. Disorders due to defects in this process (Inherited Cholestatic Disorders, ICDs) lead to progressive liver disease. Many ICD patients do not respond to medical treatment and need liver transplantation (LT). Although ICDs are rare, multifactorial cholestatic diseases are common and many patients will benefit from ICD research.
There is acute shortage of liver donors. 10% of patients die while waiting on the liver transplant list. Therefore alternatives to LT are urgently needed. Bioengineered tissues may reduce the need for donor organs but complexity of it's organisation makes generation of functional liver challenging.
The OBJECTIVE of this project is to generate Cultured Liver Organoids (CLOs) using hepatocytes cultured on 3-D scaffolds as novel models for study of liver development and disease and potential treatment of ICDs.
3-D extracellular matrix (ECM) scaffolds derived from decellularised livers and polymeric matrices (PM) have been used to mimic liver architecture but further work is needed to establish functional bile flow.
Human Induced Pluripotent Stem Cells (hIPSCs) derived from reprogrammed skin fibroblasts by overexpression of pluripotency factors can proliferate and be differentiated into various cell types including hepatocytes. hIPSCs enable production of patient specific cells, which are fully immuno-compatible. Genetically corrected mutant hIPSCs differentiated into hepatocytes have been used as cell therapy in animal models of inherited metabolic disorders but direct infusion of hepatocytes into the liver is unlikely to achieve polarised bile flow and correct ICDs.
Therefore hIPSCs developed from ICD patients will be used to culture hepatocytes on decellularised mouse liver ECM to generate in vitro models of ICDs. CLOs containing hepatocytes from genetically corrected hIPSC will be tested in mouse models of ICDs as potential treatment."
Summary
"Bile synthesis and secretion are crucial to liver function and involve multiple proteins. Disorders due to defects in this process (Inherited Cholestatic Disorders, ICDs) lead to progressive liver disease. Many ICD patients do not respond to medical treatment and need liver transplantation (LT). Although ICDs are rare, multifactorial cholestatic diseases are common and many patients will benefit from ICD research.
There is acute shortage of liver donors. 10% of patients die while waiting on the liver transplant list. Therefore alternatives to LT are urgently needed. Bioengineered tissues may reduce the need for donor organs but complexity of it's organisation makes generation of functional liver challenging.
The OBJECTIVE of this project is to generate Cultured Liver Organoids (CLOs) using hepatocytes cultured on 3-D scaffolds as novel models for study of liver development and disease and potential treatment of ICDs.
3-D extracellular matrix (ECM) scaffolds derived from decellularised livers and polymeric matrices (PM) have been used to mimic liver architecture but further work is needed to establish functional bile flow.
Human Induced Pluripotent Stem Cells (hIPSCs) derived from reprogrammed skin fibroblasts by overexpression of pluripotency factors can proliferate and be differentiated into various cell types including hepatocytes. hIPSCs enable production of patient specific cells, which are fully immuno-compatible. Genetically corrected mutant hIPSCs differentiated into hepatocytes have been used as cell therapy in animal models of inherited metabolic disorders but direct infusion of hepatocytes into the liver is unlikely to achieve polarised bile flow and correct ICDs.
Therefore hIPSCs developed from ICD patients will be used to culture hepatocytes on decellularised mouse liver ECM to generate in vitro models of ICDs. CLOs containing hepatocytes from genetically corrected hIPSC will be tested in mouse models of ICDs as potential treatment."
Max ERC Funding
1 500 000 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym COLORTTH
Project The Higgs: A colored View from the Top at ATLAS
Researcher (PI) Reinhild Fatima Yvonne Peters
Host Institution (HI) THE UNIVERSITY OF MANCHESTER
Country United Kingdom
Call Details Starting Grant (StG), PE2, ERC-2013-StG
Summary "With the ground-breaking discovery of a new, Higgs-like boson on July 4th, 2012, by the CMS and ATLAS collaborations at CERN, a new era of particle physics has begun. The discovery is the first step in answering an unsolved problem in particle physics, the question how fundamental bosons and fermions acquire their mass. One of the major goals in collider physics in the next few years will be the deeper insight into the nature of the new particle, its connection to the known fundamental particles and possible extensions beyond the standard model (SM) of particle physics.
My project aims at a particular interesting field to study, the relation of the new particle with the heaviest known elementary particle, the top quark. I aim to develop new, innovative techniques and beyond state-of-the-art methods to extract the Yukawa coupling between the top quark and the Higgs boson, which is expected to be of the order of one - much higher than that of any other quark. I will analyse the only process where the top-Higgs Yukawa coupling can be measured, in associated production of top quark pairs and a Higgs boson. The Higgs boson mainly decays into a pair of b-quarks. This is one of the most challenging channels at the LHC, as huge background processes from gluon splitting contribute. In particular, I will develop and study color flow variables, which provide a unique, powerful technique to distinguish color singlet Higgs bosons from the main background, color octet gluons.
The ultimate goal of the project is the first measurement of the top-Higgs Yukawa coupling and its confrontation with SM and beyond SM Higgs boson models, resulting in an unprecedented insight into the fundamental laws of nature.
The LHC will soon reach a new energy frontier of 13 TeV starting in 2014. This new environment will provide never seen opportunities to study hints of new physics and precisely measure properties of the newly found particle. This sets the stage for the project."
Summary
"With the ground-breaking discovery of a new, Higgs-like boson on July 4th, 2012, by the CMS and ATLAS collaborations at CERN, a new era of particle physics has begun. The discovery is the first step in answering an unsolved problem in particle physics, the question how fundamental bosons and fermions acquire their mass. One of the major goals in collider physics in the next few years will be the deeper insight into the nature of the new particle, its connection to the known fundamental particles and possible extensions beyond the standard model (SM) of particle physics.
My project aims at a particular interesting field to study, the relation of the new particle with the heaviest known elementary particle, the top quark. I aim to develop new, innovative techniques and beyond state-of-the-art methods to extract the Yukawa coupling between the top quark and the Higgs boson, which is expected to be of the order of one - much higher than that of any other quark. I will analyse the only process where the top-Higgs Yukawa coupling can be measured, in associated production of top quark pairs and a Higgs boson. The Higgs boson mainly decays into a pair of b-quarks. This is one of the most challenging channels at the LHC, as huge background processes from gluon splitting contribute. In particular, I will develop and study color flow variables, which provide a unique, powerful technique to distinguish color singlet Higgs bosons from the main background, color octet gluons.
The ultimate goal of the project is the first measurement of the top-Higgs Yukawa coupling and its confrontation with SM and beyond SM Higgs boson models, resulting in an unprecedented insight into the fundamental laws of nature.
The LHC will soon reach a new energy frontier of 13 TeV starting in 2014. This new environment will provide never seen opportunities to study hints of new physics and precisely measure properties of the newly found particle. This sets the stage for the project."
Max ERC Funding
1 163 755 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
