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methods to improve systems, and ML research develops such methods. Major gains are made when the development of ML and systems are symbiotic and co-optimized. This is relevant across a broad spectrum of
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with symptoms. However, our brain operates differently between sleeping and waking brain states, and an optimal system should take this into account. The aim of this project is to develop brain state
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(HVDC) technology will be used to bundle energy from several windfarms and transport to load centres. Future offshore wind farms are expected to be further optimized either functionally or in
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project will involve optimizing the trapping conditions—such as laser power, wavelength, and nanostructure geometry—to prevent photodamage while achieving strong signal enhancement. The project will also
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, optimized for coupling with molecular vibrational and electronic transitions. By embedding selected organic or hybrid molecules into these cavities, the research will probe the emergence of quantum light
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response times and elucidate the energy transfer pathways within the nanogap. Additionally, the research will investigate the temperature and material-dependent properties to optimize switching efficiency
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Optimizing Routes in Unpredictable Environments Robotics Research Group Adaptive and Continual Learning for Socially Intelligent Robots Designing Evolutionary Games for Therapeutic Interaction End-user
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flood extents under different storm surge scenarios, as determined through high-fidelity CFD-DEM simulations? - What is the optimal spatial arrangement (single/multiple lines, angle of incidence) of PBs
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quantitative connections between the continuum parameters and the underlying microscopic mechanics. Numerical study. Implement the models in computational codes to design and optimize morphing strategies. During
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computational design, Industry 4.0 integration, digital twins, and data-driven optimization to enhance manufacturing efficiency. Working closely with the NWCAM2 companies, this project aims to reduce waste, embed