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Unobtrusive Movement Monitoring With Textiles Using Fibre Sensors
(2024)This thesis deals with the development of fibre sensor materials and methods to unobtrusively monitor human movements with textiles. Advances in materials science have allowed electronic components to be fabricated as fibres, yarns, or textile structures, leading to an explosion of research interest in "e-textiles" and soft electronics. Motion tracking, which was once restricted to expensive and spatially constrained gait laboratories, ...Doctoral Thesis -
Productivity in Nano-Assembly: Machine Design for Dry-Transfer
(2024)Nanomaterials have excellent properties. Products that make use of these achieve better performance than previous ones and, in some cases, also open up new possibilities. However, manufacturing such products is difficult because nanomaterials are typically very small, which can make it difficult to control their positioning. Particularly in the mechanical dry transfer process, where nanomaterials are placed purely mechanically and without ...Doctoral Thesis -
Numerically Efficient Models for the Large Deformation Behavior of Metallic Structures and Materials
(2024)Doctoral Thesis -
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Tackling Bacillus spore resistance to isostatic high pressure germination and inactivation
(2024)Doctoral Thesis -
Recognising Group-Tactical Manoeuvres from Player Positions
(2024)This thesis presents a novel methodology for recognising group-tactical manoeuvres in soccer by analysing player positions using advanced computational techniques. Leveraging tracking data from Bundesliga matches, the study focuses on detecting key tactical behaviours such as dropping midfielders, inverted players, and over- and underlap manoeuvres. Team formations are represented as shape graphs in a goal-aligned coordinate system with ...Bachelor Thesis -
Semantic image segmentation and automated structure picking from acoustic televiewer images
(2024)Master Thesis -
SFGNets: Machine Learning Tools for SuperFGD Neutrino Detector
(2024)Image processing techniques powered by Machine Learning are revolutionizing the field of data analysis from particle physics detectors, as they allow powerful methods developed jointly in academia and in the industry to disentangle the complex data that detectors observe. Superimposed tracks of multiple particles, with cross-talk and noise, lead to intricacies that traditional methods such as likelihood-based Bayesian approaches can fail ...Master Thesis -
A tool for debugging JTAG
(2024)Debuggers not hosted on the target can provide users with bare-metal access to the machine. This way, one can establish a debug session even when no operating system is present, e.g., right after the power-up. The JTAG communication protocol is often used to interface the external debuggers with the target’s infrastructure. On the Enzian research computer, such a connection between an ARM processor and the specialized adapter fails ...Bachelor Thesis -
Enabling GPU Acceleration for the Dandelion Serverless Executor
(2024)With the slowing of Moore's law, modern computing platforms are becoming increasingly heterogeneous. In particular, graphics processing units (GPUs) have found application in various general-purpose fields, for instance driving the machine learning revolution of recent years. Serverless cloud computing has, however, had trouble adjusting to this reality. Most systems in use today are still largely restricted to CPU-only execution. At ...Bachelor Thesis