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Partner 1 (Project Coordinator) : CRIL, CNRS UMR 8188, University of Artois. Lens Computer Science Research Lab (CRIL) is a joint laboratory between University of Artois (UA) and CNRS (French National Centre for Scientific Research). CRIL has a strong research focus on Artificial Intelligence and carries out both fundamental research and software development following three main axes: i) Knowledge Representation and Reasoning; ii) Problem modelling and solving using constraints; and iii) Learning, Processing and Querying Data. CRIL has a very strong involvement in regional (e.g. “humAIn” alliance), national and international scientific activities (e.g. European projects TAILOR and Starwars).
Partner 2 : HydroSciences Montpellier (HSM) is a joint research unit under the umbrella of University of Montpellier, CNRS and IRD. HSM is a multidisciplinary laboratory, known for its work on hydrosystems: from emerging contaminants, mining pollution, waterborne pathogens, to eco-hydrology, water transfer in heterogeneous aquifers, urban hydrology and extreme events. HSM has been on the forefront of hydrological modelling, with the development of spatially distributed rainfall-runoff models such as ATHYS or 2D hydraulic models such as and more recently large scale models for flood simulation.
Partner 3 : The IUSTI laboratory (Institut Universitaire des Systèmes Thermiques Industriels) is a joint research unit under the umbrella of Aix-Marseille Université (AMU), Polytech Marseille and CNRS. The laboratory focuses on engineering sciences, with research in mechanics and energy, and tackles problems related to a wide range of applications in industry, the environment and health. He is at the cutting edge of flow models at different scales, whether for water, air or complex fluids.
Partner 4 : The Research Group on Visual Computation (RGVC) at the University of Szeged (SZTE) focuses on computational models for visual observation and interpretation of the world. The main objective is to develop geometric, probabilistic, and machine learning-based models of visual object extraction, interpretation, and reconstruction. These models are used to tackle scientific challenges such as segmentation, geometric alignment and fusion of images provided by various sensors and optics, as well as 3D object modeling and analysis.
Partner 5 : The University of Oviedo is a public Spanish university with campuses in Oviedo, Gijón, and Mieres. Within the institution, the Metrology and Models Group carries out research on uncertainty modeling and artificial intelligence. Their work addresses stochastic orders for model comparison, random set modeling, and the use of variational autoencoders for imprecise data, as well as domain adaptation and transfer learning with incomplete data. The group also explores similarity learning and graph neural networks for sparse data, together with the integration of domain-specific knowledge, placing particular emphasis on interpretability and contrastive explainability
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