Multi-EXponential analysis with applications In Computational and Applied sciences


The MEXICA ETN combines a broad spectrum of key research and training activities on “Multi-EXponential analysis with applications In Computational and Applied sciences” that are currently being undertaken in some of Europe’s premier research institutes and laboratories. The training network is interdisciplinary, intersectoral, unconventional and ambitious. It is unconventional in the sense that it connects stakeholders from seemingly separately developed sectors and domains: harmonic analysis, numerical linear algebra, systems and control theory, digital signal processing, approximation theory and bioinformatics. It is ambitious because the consortium spans the entire STEM value chain: from industry and engineering to computational science and mathematics.

Multi-exponential analysis might sound remote, but it touches our lives in many surprising ways, even if most people are unaware of how important it is. For example, a substantial amount of effort in signal processing and time series analysis is essentially dedicated to the analysis of multi-exponential functions. Multi-exponential analysis is also fundamental to several research fields and application domains that are the subject of the MEXICA proposal: vibration analysis, fluorescence lifetime imaging, metrology, smart antenna design, (wireless) sensor networks, non- destructive testing.

The MEXICA Beneficiaries and Partners, each with their own complementary expertise, aim at solving some core challenges where the different domains involved with multi-exponential analysis meet. We target game-changing breakthroughs in science and technology that will deliver a competitive advantage to industry. The project will train and deliver 15 ESRs as next generation problem solvers, equipped with the ability to “use knowledge to build knowledge”. The MEXICA project connects 6 countries, 6 universities, 6 companies and 1 technological research site to explore this highly relevant thematic.

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