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XAI for Black-Box Models Using Logic-Based Formal Methods and Combinatorial Optimization – FORM-XAI
The FORM-XAI project addresses the growing need for interpretability in the field of artificial intelligence (AI), particularly in critical sectors such as healthcare, finance, and transportation. Complex models, such as deep neural networks, while effective, raise concerns about their opacity, ther
Yarrowia lipolytica oleochemicals based on odd chain fatty acids – YaLiOl
The objectives of the YaLiOl project are to: 1) to advance the engineering of Y. lipolytica for the production of odd-chain fatty acids (OCFA); 2) to develop a fermentation medium based on sugar beet molasses; 3) recovering the OCFAs, characterizing them, and transforming them into oleochemical
Youth and Logistics Integration in the 15-Minute City – INCLUCity+
The 15-minute city (15mC) promotes walkable, mixed-use neighbourhoods that prioritize accessibility, local services, and human-centric urban design to reduce car-dependency and foster more sustainable, inclusive, active and liveable cities. However, much of the research on 15mC overlooks the unique
Zooming in on the conformational details of a membrane efflux pump – BmrA-NMX
In this project, we would like to contribute to a deeper understanding of conformational events which allow drug export from cells via ABC transporters. The questions we aim to answer are: • What are the key residues acting as conformational switches in the different conformational states involved
a Physical InterNet cross-docking hUb conTrol System – PI-NUTS
The PI-NUTS (“Physical InterNet cross-docking hUb conTrol System”) project contributes to the Physical Internet (p) field, which is an innovative paradigm, breaking with the usual approaches of current actual logistic systems. The aim of this new paradigm is to fight the unsustainability symptoms in
emergency transport optimized by Artificial Intelligence, automatic natural language processing and deep learning – SADIAND
The SADIAND joint laboratory is part of a context that favors the development of artificial intelligence, with increasingly large volumes of available data, ever more powerful algorithms and machines, and greater complexity in decision-making due to an uncertain and changing environment. Its applica
high gas barrier polymer-based nanocomposite design by combining experimental, modelling and machine learning approaches – BANCODEMM
BANCODEMM project aims to explore new routes in the quest of robust guidelines to design polymer-based nanocomposites displaying enhanced barrier properties from combined experimental, theoretical and numerical investigation. In this project, the whole chain from nanocomposite constituents to proces
human inspired autonomous navigation in crowds – Hianic
The HIANIC cybercar will analyze its environment by detecting people, evaluating crowd flows, recognizing typical scenarios. It will infer the reaction of the passengers in order to navigate in a way that makes them feel comfortable. Several navigation strategies will collaborate to adapt the moveme
spreading of granular pastes: from the particle to end use properties – PASTFLOW
The objective should be realized by adequate modelling of the rheology of the granular paste on the basis of rheological tests, particle-based micro-structural experimental as well as simulation-based investigations. The main focus is on the development of microscale-based models, which predict the
turbulent closure parameter identification for the surface layer of marine circulation models. – TURBIDENT
Fluxes between the oceanic surface layer and atmosphere is one of the main difficulty to solve so as to ensure realistic results for the numerical models of marine circulation. This is particularly true in the coastal region. Indeed, the upper mixing layer is often a weakness of numerical modelling
