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Development of a software tool which visualises the geometry of a basic switching cell based on geometrical parameters derived by converter optimisation procedures - Electrical Engineering
- Master Thesis, Semester Project
| Development of switching cell mechanical models in the X3D format based on geometrical parameters derived by converter optimisation procedures - Electrical Engineering
- Master Thesis, Semester Project
| In this thesis the student is provided the opportunity to optimize and build a medium frequency transformer - Electrical and Electronic Engineering
- Master Thesis, Semester Project
| Iron deficiency anemia (IDA) is one of the most widespread nutritional deficiencies worldwide, increasing the risk for disability and death for more than two billion people. Iron supplements are needed for prevention of iron deficiency, especially among infants, children and pregnant women, and for correction of IDA in all affected individuals. Conventional iron supplements, commonly cause nausea, epigastric discomfort and other gastrointestinal side effects that lead many individuals to discontinue and avoid their use.
In this project, gastric resident systems (GDSs) will be produced using advanced manufacturing approaches (e.g., 3D printing) and the resulting release kinetic of the bioactive compounds will be characterized. Based on the results, different GDSs 3D design, formulations, and combination of active compounds will be tested. - Biology, Chemistry, Engineering and Technology, Medical and Health Sciences
- Master Thesis, Semester Project
| The goal of this project is to use language prompts to help find object parts in 3D. - Computer Vision
- Master Thesis, Semester Project
| In this project, we want to explore the application of predictive stability filters for automotive applications. Predictive stability filters allow augmenting human or learning-based controllers such that safety in terms of constraint satisfaction as well as stability of a desired setpoint can be guaranteed. Such algorithms present possible solutions for automotive applications such as, e.g., lane keeping. - Engineering and Technology, Systems Theory and Control
- Master Thesis
| We have several projects on integrated and free-space nonlinear optics experiments. This includes expeirments with lithium niobate photonics for frequency conversion and quantum information; analog computing in disordered media; characterization of nonlinear materials.
These projects include simulations of nonlinear optical systems, fabrication and analysis techniques, optical characterization and data analysis. - Quantum Optics and Lasers
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| 12-lead electrocardiograms (ECGs) are still solely documented on paper in many hospitals, especially in the Global South. These physical paper records provide a multitude of conditions recorded in many different countries. Our lab has access to a dataset with more than 8000 patient’s ECG photos / scans of 12-lead signals printed onto physical paper sheets. The dataset comprises 12-lead ECG image records from more than 35 hospital sites across Europe. The primary objective of this project is to develop an automated digitization pipeline from raw image scan in .png format towards 12 vectorized ECG time series in WFDB format. - Computer Vision, Engineering and Technology, Medical and Health Sciences
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| This project aims to revolutionize the analysis of electroencephalography (EEG) data by developing a specialized foundational model utilizing the principles of artificial intelligence. Despite the critical role of EEG in diagnosing and treating neurological disorders, challenges such as low signal-to-noise ratios and complex signal patterns hinder practical analysis. By adapting strategies from successful domains like natural language processing and computer vision, this project will build a machine learning model tailored for EEG signals. The model will undergo extensive pre-training on diverse EEG datasets to establish a robust understanding of neural activities, followed by fine-tuning for specific clinical tasks such as seizure detection and sleep stage classification. Our approach promises to enhance the accuracy, efficiency, and accessibility of EEG diagnostics, paving the way for improved patient outcomes. Validation and testing using standard performance metrics will measure the model's efficacy, setting a new standard in EEG analysis. - Electrical Engineering, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing, Simulation and Modelling
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| The objective of this project is to determine the metric relative pose between two images using object-to-object matches. - Computer Vision
- Master Thesis, Semester Project
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