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using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have
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on effective software testing. Given the complexity and scale of these systems, detecting software errors through manual testing is often impractical and insufficient. This PhD project seeks to develop advanced
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! Image sensors have been used widely in our daily lives. In this project, we will develop a low-power image sensor for IoT applications such as environment monitoring in remote areas. Two key aspects
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discharges, as well as to develop and demonstrate a functional partial discharge based diagnostics and monitoring system for onboard high coltage cabling system of all/hybrid electric aircrafts. We offer a
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. The goal of the center will be to develop a set of tools to facilitate closed loop neuromodulation ranging from algorithms that analyze patient feedback to estimate value response surfaces, to clinician and
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mathematical analysis methods for signal processing (quantitative analysis, such as spectral analysis or connectivity) (Sitt et al., Brain J Neurol, 2014), and the development of more sophisticated sensory