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Field
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content Ability to work independently and as part of a team on complex research tasks Ability to clearly articulate research results Ability to present the results of own research Ability to publish
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data-density reaction/bioanalysis techniques, including high-throughput experimentation, to inform and enhance drug optimisation. Employ machine learning to analyse complex datasets, extract meaningful
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Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component
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something for you! Information How can we selectively convert complex lignocellulosic biomass into high-value platform chemicals with high efficiency and minimal waste? Achieving this demands innovative
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artificial intelligence (AI) sys- tems, integrating LLMs with external tools and memory components to execute complex reasoning and decision-making tasks. These agents are increasingly deployed in domains
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students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, learning and diagnostics strategies which
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of individual development. The group is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
nature makes them susceptible to complex damage modes like delamination, fibre breakage, and matrix cracking, especially under high-velocity impacts from projectiles or debris. Current assessment
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combination of properties such as strength and toughness. Recently, a new type of “chaotic” spider webs—webs that exhibit unique patterns—in Nature has been discovered and its complex energy dissipation
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with problems from mechanical engineering and materials research that could not be addressed so far due to their high complexity, which prevents approaches that solely rely on classical mechanistic