ALMARVI project targets low-power adaptive platform solution for healthcare, smart phone and security industries which are as part of big societal challenges affordable healthcare and wellbeing and green and safe transportation. ALMARVI aims at providing cross-domain many-core platform solution, system software stack, tool chain, and adaptive algorithms that will enable massive data-rate image/

The aim of the research project is to analyze financial risk and market co-movements using novel econometric methods and their theoretically grounded modifications. The main focus will be on emerging European markets with respect to global developed markets, as well as important assets from commodities markets.

We want to conduct some meaningful and fruitful econometric research into multivariate regression quantiles.

The project focuses on analysis of financial time series in a framework of bivariate long memory with a special attention on power-law decaying cross-correlation function and its implications for dynamic properties of such processes. The first target is to use these implications for construction of statistical tests to distinguish between short and long memory.

THINGS2DO is the ENIAC KET Pilot Line project addresses subprogram 3. Energy Efficiency, 6. Design technologies and 4. Health and Ageing Socity. THINGS2DO project is focused on building the Design and Development Ecosystem for FD-SOI-technology. This technology is uniquely positioned to take advantage of some very distinct strengths of the European Semiconductor Industry.

The proposed project is focused on development of new mathematical models of constitutive behavior of shape memory alloys. These models will be based on results of experimental observations, and will reflect the mutual couplings between individual microstructural processes in these materials.

View and illumination dependent representation of real-world material surfaces is crucial for different applications in virtual prototyping, safety visual simulations or cultural heritage digitization. However, the measurement of the corresponding descriptive data is time consuming due to its massive size and dimensionality, which strongly limit any practical utilization.