The L3S Research Center is a joint research institute of several universities in Lower Saxony, Germany formally associated with Leibniz Universität Hannover (LUH). Work at L3S focuses on innovative and cutting-edge methods and technologies for Web Science, a key topic for the European Information Society, investigating the Future of Information and Communication in the Web Age. Projects investigate innovative scenarios and
solutions in the Web Science areas of Web Search (especially Rich Media search and Entity-centric search), Web Information Management (including Digital libraries and semantic enrichment), Middleware for Web Infrastructures, the Future Internet and the Web of People (including Personalization, Diversity-aware services, and Social Web solutions). The L3S team builds upon technologies and approaches from various areas
such as information retrieval, machine learning, natural language processing, semantic web technologies, data management, and Distributed and Peer-to-Peer Information Systems.
Maxeler is a leader in innovation, development and delivery of High Performance Computing solutions. Maxeler provides hardware, software and services to gain at least an order of magnitude advantage in performance per unit of rack space, computations per Watt (green computing), and top price-performance considering total cost of ownership. Maxeler computer systems exploit dataflow computing – a revolutionary way of performing computation, completely different to computing with conventional CPUs. Dataflow computers focus on optimizing the movement of data in an application and utilize massive parallelism between thousands of tiny ‘dataflow cores’ to provide order of magnitude benefits in performance, space and power consumption. An analogy for moving from control flow to dataflow is the Ford car manufacturing model, where expensive highly-skilled craftsman (control flow CPU cores) are replaced by a factory line, moving cars through a sea of single-skill workers (dataflow cores). Maxeler provides compute solutions to enable production deployment of dataflow computing, including high-performance compute nodes, compilers and management software. Our technology is in use at FORTUNE 500 companies and universities across the world.
The University of Hildesheim (Stiftung Universität Hildesheim, SUH) was founded in 1978 and covers a broad spectrum of subjects, ranging from the Arts to Computer Science. Currently cooperation exists between the University of Hildesheim and about 90 partner universities in 21 different countries.. In the area of computer science, there exist groups that focus on such diverse topics as software engineering, intelligent information systems, information retrieval, cognition, etc., with strong involvement in European projects, e.g., in the areas of software engineering or multimedia processing.
The Software Systems Engineering group (SSE) at SUH focuses on methods and techniques that support the efficient development of high-quality software and on engineering adaptive systems. This includes research and development topics such as product line engineering, requirements engineering and model-based software development. In the domain of adaptive systems, the group works on simulation and test environments, implementation techniques for runtime monitoring and adaptation as well as optimal strategies of adaptivity. In particular, the research at SSE is inspired by activities in technology transfer, i.e., real world industrial problems inspire specific research activities in our group and research results help improving software engineering and development practices in industry.
The Technical University of Crete (TUC), was founded in 1977 in Chania, Crete. The purpose of this state institution is to provide high-quality undergraduate as well as graduate studies in modern engineering fields demanded by the Greek and international job market, to conduct research in cutting edge technologies as well as to develop links with the Greek and European industry. The Telecommunications Systems Institute (TSI) is a legally independent University Research Institute affiliated with TUC’s School (formerly, Department) of Electronic & Computer Engineering (ECE), with its own administration and infrastructure. Owing in part to a highly successful targeted recruiting effort in concert with the School of ECE, TSI has developed a pool of senior researchers with world-class credentials. It is funded mainly from external research grants and contracts in telecommunications, networking, and systems, and has strong experience in participating in European FP6/FP7 projects. World-class academic excellence of TSI is demonstrated by the prestigious, annual, IEEE-society level journal publication awards which TSI researchers consistently have received over the last 10 years.
The Software Technology and Network Applications (SoftNet) and the Microprocessor & Hardware Laboratory (MHL), both part of the School of ECE, represent TSI in QualiMaster. The current research activities of the SoftNet laboratory focus on database management systems, data mining, centralized and distributed data-stream processing, cloud computing, distributed and peer-to-peer systems, and sensor networks. The current research activities of MHL focus on the fields of computer architecture and the hardware-oriented aspects of computer engineering, and more specifically on special-purpose computer architectures in research areas such as bioinformatics, economics, data mining etc., reconfigurable (FPGA-based) and GPU-based computing, design and implementation of hardware-based embedded systems, rapid system prototyping, design at high levels of integration (VLSI, FPGA, etc.), and CAD tool framework development.
spring techno (spring techno GmbH & Co. KG) is an SME located in Northern Germany. The company provides innovative interfaces, geo-location and mobile technologies. Furthermore, SPRING specialises in pattern recognition, modelling and forecasting from time series. The company develops state-of-the-art client software and cutting-edge products which are easily extendable and customizable.
spring techno has developed and commercialized solutions for the financial sector (pattern recognition algorithms, forecasting and decision support platforms for the financial software domain). Besides the financial domain, spring techno’s core data analysis techniques have been extrapolated and applied to other fields of applications, such as the Health, Security, Mobility, Media and Search. spring techno covers the whole chain of value from processing and storing the raw data – through recognition of relevant structures and data mining – all the way to data representation with specialized interfaces.
The SME spring techno has experience in the development of financial analysis services on top of large-scale financial data stream and with developing visualizations for the results of such analysis. Furthermore, SPRING also has already experience with participating in EU projects. It has for example participated in the projects IM3I, which aims to provide new ways of searching, summarising and visualising large multimedia archives and EUTV, which works on the Design and development of an open source framework to provide a portal that aggregates multimedia information streams.