Hanover, Germany

The University of Hannover, officially the Gottfried Wilhelm Leibniz Universität Hannover, short Leibniz Universität Hannover, is a public university located in Hannover, Germany. Founded in 1831, it is one of the largest and oldest science and technology universities in Germany. In the 2014/15 school year it enrolled 25,688 students, of which 2,121 were from foreign countries. It has nine faculties which offer 190 full and part degree programs in 38 fields of study. The University is named after Gottfried Wilhelm Leibniz, the 18th century mathematician and philosopher.Leibniz Universität Hannover is a member of TU9, an association of the nine leading Institutes of Technology in Germany. It is also a member of the Conference of European Schools for Advanced Engineering Education and Research , a non-profit association of leading engineering universities in Europe. The university sponsors the German National Library of Science and Technology , the largest science and technology library in the world. Wikipedia.


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Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: LCE-06-2015 | Award Amount: 17.86M | Year: 2016

By 2020, several areas of the HVAC pan-European transmission system will be operated with extremely high penetrations of Power Electronics(PE)-interfaced generators, thus becoming the only generating units for some periods of the day or of the year due to renewable (wind, solar) electricity. This will result in i) growing dynamic stability issues for the power system (possibly a new major barrier against future renewable penetration), ii) the necessity to upgrade existing protection schemes and iii) measures to mitigate the resulting degradation of power quality due to harmonics propagation. European TSOs from Estonia, Finland, France, Germany, Iceland, Ireland, Italy, Netherlands, Slovenia, Spain and UK have joined to address such challenges with manufacturers (Alstom, Enercon, Schneider Electric) and universities/research centres. They propose innovative solutions to progressively adjust the HVAC system operations. Firstly, a replicable methodology is developed for appraising the distance of any EU 28 control zone to instability due to PE proliferation and for monitoring it in real time, along with a portfolio of incremental improvements of existing technologies (the tuning of controllers, a pilot test of wide-area control techniques and the upgrading of protection devices with impacts on the present grid codes). Next, innovative power system control laws are designed to cope with the lack of synchronous machines. Numerical simulations and laboratory tests deliver promising control solutions together with recommendations for new PE grid connection rules and the development of a novel protection technology and mitigation of the foreseen power quality disturbances. Technology and economic impacts of such innovations are quantified together with barriers to be overcome in order to recommend future deployment scenarios. Dissemination activities support the deployment schemes of the project outputs based on knowledge sharing among targeted stakeholders at EC level.


HarmonicSS vision is to create an International Network and Alliance of partners and cohorts, entrusted with the mission of addressing the unmet needs in primary Sjogren Syndrome; working together to create and maintain a platform with open standards and tools, designed to enable secure storage, governance, analytics, access control and controlled sharing of information at multiple levels along with methods to make results of analyses and outcomes comparable across centers and sustainable through Rheumatology associations. The overall idea of the HarmonicSS project is to bring together the largest well characterized regional, national and international longitudinal cohorts of patients with Primary Sjgrens Syndrome (pSS) including those participating in clinical trials, and after taking into consideration the ethical, legal, privacy and IPR issues for sharing data from different countries, to semantically interlink and harmonize them into an integrative pSS cohort structure on the cloud. Upon this harmonized cohort, services for big data mining, governance and visual analytics will be integrated, to address the identified clinical and health policy pSS unmet needs. In addition, tools for specific diagnostic procedures (e.g. ultrasonography image segmentation), patient selection for clinical trials and training will be also provided. The users of the HarmonicSS platform are researchers (basic/translational), clinicians, health policy makers and pharma companies. pSS is relevant not only due to its clinical impact but also as one of the few model diseases to link autoimmunity, cancer development (lymphoproliferation) and the pathogenetic role of infection. Thus, the study of pSS can facilitate research in many areas of medicine; for this reason, the possibility for sustainability and expandability of the platform is enhanced. Moreover, pSS has a significant impact on the healthcare systems, similar to that of rheumatoid arthritis.


Grant
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: INFRASUPP-03-2016 | Award Amount: 1.50M | Year: 2017

EInfraCentrals mission is to ensure that by 2020 a broader/ more varied set of users (including industry) benefits from European infrastructures. A common approach to defining and monitoring e-infrastructures services will increase their uptake. It will also enhance understanding of where improvement can be made in delivering services. The challenge is to shift towards an e-Infrastructure market place to initiate new service offerings and to engage with a broader set of users and needs. This will be achieved through an exchange of know-how between e-infrastructures consultations with a broad range of existing or potential users. EInfraCentral will pursue 3 specific objectives: 1. Structure an open and guided discussion between e-infrastructures to consensually define a common service catalogue 2. Develop a one-stop shop portal for users to browse the service catalogue and enhance the monitoring of key performance indicators that focus on availability and quality of services and user satisfaction 3. Draw policy lessons for a future European e-infrastructure market place as an extension of the common service catalogue and portal (incorporating a larger number of e-infrastructures). Key highlights of the proposal are: 1.A multidisciplinary team combining technical knowledge & insights from the e-infrastructure community with independent expertise in community building consultation, policy and data mapping and monitoring 2. A co-design process that will involve funders, the e-research infrastructure community and a representative user group (incl. SMEs) 3. On-going user interaction will guide the design and development of the eInfraCentral portal (as the main entry point to European e-infrastructures services) in two phases: a prototype with a first set of services and a full release with a KPI dashboard 4. Reinforce collaboration between e-infrastructures and optimise access to and increase uptake of e-infrastructures services by end users.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-26-2016 | Award Amount: 6.99M | Year: 2017

Today, intralogistic services have to respond quickly to changing market needs, unforeseeable trends and shorter product life cycles. These drivers pose new demands on intralogistic systems to be highly flexible, rock-solid reliable, self-optimising, quickly deployable and safe yet efficient in environments shared with humans. ILIAD will enable the transition to automation of intralogistic services with key stakeholders from the food distribution sector, where these challenges are particularly pressing. We will develop robotic solutions that can integrate with current warehouse facilities, extending the state of the art to achieve self-deploying fleets of heterogeneous robots in multiple-actor systems; life-long self-optimisation; manipulation from a mobile platform; efficient and safe operation in environments shared with humans; and efficient fleet management with formal guarantees. Scientifically, ILIAD pursues ambitious goals for complex cognitive systems in human environments beyond a specific use-case. We will overcome limitations in the state of the art in tracking and analysing humans; quantifying map quality and predicting future states depending on activity patterns inferred from long-term observations; planning of socially normative movements using learned human models; integration of task allocation, coordination and motion planning for heterogeneous robot fleets; and systematically studying human safety in mixed environments, providing a foundation for future safety standards. Our consortium is uniquely placed to tackle these challenges and to maximise exploitation beyond the projects duration. It includes partners with a proven track record in all key research areas, leading technology providers for intralogistics, end users that are leading in their respective markets, and the National Centre for Food Manufacturing at partner UoL, facilitating access to realistic test sites. This mix of partners will ensure a very high impact of the project results.


Grant
Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2016 | Award Amount: 1.93M | Year: 2017

This research brings together the complementary expertise of our consortium members to gain a better understanding of the physics in hydraulic fracturing (HF) with the final goal to optimize HF practices and to assess the environmental risks related to HF. This requires the development and implementation of reliable models for HF, scaled laboratory tests and available on-site data to validate these models. The key expertise in our consortium is on modelling and simulation of HF and all partners involved pursue different computational approaches. However, we have also some partners in our consortium which focus on scaled laboratory tests and one company which can provide on-site data. The choice of the best model for HF still remains an open question and this research promises to quantify uncertainties in each model and finally provide a guideline how to choose the best model with respect to a specific output parameter. The final objective is to employ these models in order to answer some pressing questions related to environmental risks of HF practices, including 1. How does HF interact with the natural fractures that intersect the shale seam? 2. How does the fracture network from a previous stage of HF treatment affect the fracture network evolution in succeeding, adjacent stages? 3. What are the requirements to constrain fractures from propagating to the adjacent layers of confining rock? The exchange and training objectives are to: 4. Enhance the intersectoral and interdisciplinary training of ERs and ESRs in Computational Science, Mining Geotechnics, Geomechanics, Modeling and Simulation 5. Strengthen, quantitatively and qualitatively, the human potential in research and technology in Europe 6. Advance the scientific contribution of women researchers in this area dominated by male 7. Create synergies with other EU projects 8. Enable and support all ESRs/ERs to keep contact with international community in the sense of training and transfer of knowledge


Grant
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: INFRADEV-03-2016-2017 | Award Amount: 2.72M | Year: 2017

Europe has a long and rich tradition as a centre for the arts and humanities. However, the digital transformation poses challenges to the arts and humanities research landscape all over the world. Responding to these challenges the Digital Research Infrastructure for Arts and Humanities (DARIAH) was launched as a pan-European network and research infrastructure. After expansion and consolidation, which involved DARIAHs inscription on the ESFRI roadmap, DARIAH became a European Research Infrastructure Consortium (ERIC) in August 2014. The DESIR project sets out to strengthen the sustainability of DARIAH and firmly establish it as a long-term leader and partner within arts and humanities communities. By DESIRs definition, sustainability is an evolving 6-dimensional process, divided into the following challenges: Dissemination: DESIR will organise a series dissemination events, including workshops in the US and Australia, to promote DARIAH tools and services and initiative collaborations. Growth: DESIR sets out to prepare the ground for establishing DARIAH membership in six new countries: the UK, Finland, Spain, Switzerland, Czech Republic and Israel. Technology: DESIR will widen the DARIAH research infrastructure in three areas, vital for DARIAHs long-term sustainability: entity-based search, scholarly content management, visualization and text analytic services. Robustness: DESIR will make DARIAHs organizational structure and governance fit for the future and develop a detailed business plan and marketing strategy. Trust: DESIR will measure the acceptance of DARIAH, especially in new communities, and define mechanisms to support trust and confidence in DARIAH. Education: Through training and teaching DESIR will promote the use of DARIAH tools and services. The DESIR consortium is composed of core DARIAH members, representatives from potential new DARIAH members and external technical experts. It is balanced between the different European regions.


Grant
Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2016 | Award Amount: 1.42M | Year: 2017

Failure of large complex engineering systems often leads to catastrophic consequences. Their efficient and safe design and operation will avoid or reduce malfunctions, failures and accidents, which would have a significant impact on the daily life of the public in terms of service and product delivery, business interruption, economic losses, human injuries/fatalities, and property and environmental damage. The proposed project aims to develop and apply knowledge in Reliability and Safety Engineering and Technology (RESET), for safe and reliable design and operation of large maritime (marine and offshore) and other made-to-order (MTO) engineering systems. This multi-disciplinary and inter-disciplinary project of 48 months duration, will formulate a consortium of complementary expertise targeting areas of academic and industrial importance. In particular, a series of integrated activities will investigate i) the framework for reliability and safety assessment, ii) system risk and reliability modelling under uncertainties, iii) fluid and structural modelling under uncertain environments, iv) fatigue and fracture assessment, v) decision making together with case studies, and vi) the development of guidelines for general application of the developed models. The engineering systems that are addressed in this project include: a) ships, b) offshore installations, c) offshore wind farm units and d) other MTO engineering structures/units. In order to achieve an integrated project, all the ESRs and ERs involved will conduct their model development and application within the RESET framework. Novel and flexible models for addressing the identified research needs will be developed for application in situations where conventional approaches may not be confidently applied due to incompleteness, randomness and fuzziness of the available data for use in reliability and safety analysis. The collaboratively produced research results will be disseminated to a wide audience.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-24-2015 | Award Amount: 8.68M | Year: 2016

Although much has been done for developing technologies to bear upon problems of individuals with sensorimotor impairments, the impact of robotic aids on people with real needs in the real world is still very limited. Our main goal is to increase the cumulative benefits of assistive robotic technologies to society by enhancing their effectiveness AND the number of beneficiaries. The challenge is to increase both multipliers in the performance times accessibility product, subverting the traditional situation where one factor can only be increased at the expense of the other. We believe this is possible by investigating how the artificial can physically interact and effectively talk to the natural. Understanding such a language is crucial not only to improve performance of rehab technology, but also to tackle the most difficult problem of making it simple enough to be effective and accessible. We possess good clues about such a language, whose words we believe are sensorimotor synergies, and have the scientific competence to further its understanding and the technological prowess to translate it into a new generation of robotic assistive devices. We know that a central ingredient for the applicability of synergy-based models to physical human-machine interaction is impedance adaptability, i.e. soft robotics technologies. We will develop soft synergy-based robotics technologies to produce new prostheses, exoskeletons, and assistive devices for upper limb rehabilitation. Building on solid methodological bases, this project will have a significant social impact in promoting advanced robot prosthetic and assistive technology, while introducing disruptively new, admittedly risky, but potentially high-impact ideas and paradigms, such as the proposed pioneering work on supernumerary limbs for assistance and rehabilitation to motor impairments of the upper limb.


Grant
Agency: European Commission | Branch: H2020 | Program: ERC-STG | Phase: ERC-2016-STG | Award Amount: 1.77M | Year: 2017

Is there any limit to the size of a quantum system? How large and how small can it be? Both questions are related to scalability, a most critical issue in quantum technologies. A scalable quantum network, which can be extended almost infinitely, is built by entangling individual quantum systems, e.g. atoms. It will provide thrilling opportunities across a range of intellectual and technical frontiers in quantum information science. Building such a network is however a great challenge, in both physics and engineering. Often referred to as artificial atoms, semiconductor quantum dots (QDs) are among the most promising single and entangled photon sources to build a photonic quantum network. However there is a longstanding and yet unsolved challenge on scalability, since, unlike real atoms, every QD is different. By engineering individual QDs with an innovative nano-optomechanical system (NOMS), elementary QD networks will be built via scalable interactions of single or entangled photons, in a fashion similar to that of real atoms. The scientific goals are to upscale QD networks with the first demonstrations of (1) indistinguishable entangled photons from different QDs, (2) deterministic entanglement swapping, purification and graph states with multiple QDs (3) deterministic Boson sampling with more than 4 QDs on chip. The technological goals are (1) to downscale the footprint (<50 m) of individual QD sources with full tunabilities, and to realize (2) arrays (>44) of tunable single and entangled photon sources, (3) waveguide integration on III-V/silicon chips, and (4) compact quantum LED demonstrators. QD-NOMS will address the physical and technological challenges in building a solid-state QD-based quantum network. Its success does not only provide a novel toolkit to realize scalable QD systems for cutting-edge fundamental researches but also brings the semiconductor QD based platforms, after a decade of development, to the attention of practical applications.


Weimer H.,Leibniz University of Hanover
Physical Review Letters | Year: 2015

We present a novel generic framework to approximate the nonequilibrium steady states of dissipative quantum many-body systems. It is based on the variational minimization of a suitable norm of the quantum master equation describing the dynamics. We show how to apply this approach to different classes of variational quantum states and demonstrate its successful application to a dissipative extension of the Ising model, which is of importance to ongoing experiments on ultracold Rydberg atoms, as well as to a driven-dissipative variant of the Bose-Hubbard model. Finally, we identify several advantages of the variational approach over previously employed mean-field-like methods. © 2015 American Physical Society.

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