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balancing multiple, often competing objectives. Industrial processes typically require trade-offs between objectives such as production efficiency, energy consumption, operational cost, product quality
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pages includes the following headings: ‘state of the art’, ‘research objectives’, ‘methodology’ and ‘bibliography’. The proposal should allow you to successfully complete the PhD in 4 years. The prior
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energy provision failure. The objective of this PhD research in particular is to develop novel energy optimization mechanisms for maintaining network operation during long-term energy provision failures
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of extension based on your performance and the acquisition of additional funding. The ultimate objective is to complete your PhD within a four-year timeframe. The research will be based at campus Kulak in
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smart‑city systems. AI vision tools can recognize faces, detect objects, track people, and generate synthetic images with ease. These capabilities also introduce major privacy and ethical risks, amplified
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to conduct research on the interaction between large language models, automated science, and innovation. In this context, large language models can serve both as a tool within the research and as the object
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, environments, or objectives while retaining previously acquired skills. It extends conventional reinforcement learning by addressing catastrophic forgetting, knowledge transfer, and adaptation under non
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thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks, environments, or objectives while retaining
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learning, with the aim of controlling the vessel in an optimal and efficient manner. In this context, control is formulated as a trade-off between different objectives, such as minimising energy consumption
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simultaneously provide reliable wireless connectivity and high-precision sensing. The objective is to develop localisation and sensing algorithms that achieve near-GNSS accuracy while improving robustness, energy