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specifically naval architecture, generative AI is lagging behind. This is largely due to data scarcity in the maritime domain. Unlike media domains where vast datasets are readily available, ship design data is
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observed, which is then composed of an assembly of ice fragments or "floes". As they drift, the floes interact mechanically with each other via contact dynamics, a process fundamentally different from
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of physics-informed machine learning proxy models for large-scale CO₂ storage. The project addresses the significant computational burden of numerical simulation and optimisation of large-scale CO₂ storage
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, physical modelling experiments, field investigations, and/or numerical modelling. The specific focus area for the research can utilize any of these tools, or their combinations, and will depend
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technologies with industry (R&D centers from international companies, Flanders’ top innovating large companies and SMEs, as well as numerous high-tech start-ups). In order to support the research, IDLab created
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/ . The group has been working on mmWave radar sensors in different applications, including automotive, indoor sensing, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart
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of the Pavement Engineering section cover the characterization of pavement materials and the design, construction, and maintenance of different types of pavements. All these topics are addressed at various
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engineering sector. The education and research programmes of the Pavement Engineering section cover the characterization of pavement materials and the design, construction, and maintenance of different types
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been funded by the Bavarian state and the University of Würzburg. The GSLS is composed of five sections specialising in different aspects of the life sciences and offers a three-year doctoral study
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experiment, theory, and numerical simulations in the department of physics at the University of Exeter. The research question is how to effectively shape electromagnetic radiation when the wavelength reaches