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The Multi-Scale Robotics Lab develops novel actuation methods for endoscopic devices utilizing magnetic navigation systems (MNS). In MNS, an external magnetic field applies forces and torques on magnets attached to the endoscopes. To control these endoscopes, precise shape estimation techniques are required. Current methods try to estimate the endoscope’s shape by measuring the external field along the endoscope using hall-sensors. This method requires precise knowledge about the applied external field and often lacks in localization precision in certain directions.
- Electrical Engineering, Mechanical Engineering
- Master Thesis
| Prosumer communities leverage and share locally generated energy. In response to the Swiss Energy Strategy 2050 and potential gas supply vulnerabilities, transitioning from singular, gas/oil-reliant energy systems to multi-energy networks is imperative. Unlike conventional individual systems where devices are often oversized and underutilized due to being designed for demand peaks, a prosumer community can optimize device use, reducing both energy costs, investment overheads and ecological impact. Therefore, when properly designed and operated, prosumer communities mitigate the inefficiencies typical of traditional setups. However, achieving optimal design is challenging due to complex interactions among stakeholders. The economic and ecological aspects of prosumer communities need to be thoroughly investigated taking into account different scenarios, energy demands and building types. This project aims to investigate various case studies for prosumer communities in the Swiss scenario and explore the technological solutions that mostly benefit from energy sharing. - Mechanical and Industrial Engineering
- Semester Project
| Gears are the backbone of the aircraft transmission systems, facilitating critical power transfer and speed adjustments for various components. Their flawless operation is the key to the seamless flight of lightning-fast fighter jets, commercial airliners, and agile helicopters.
As the demand for precise, robust, and dependable gears continues to rise, addressing production bottlenecks becomes increasingly crucial in meeting aviation's evolving needs. A significant contributor to these bottlenecks is the grinding operation, the final step in production. In the pursuit of achieving higher production efficiency by pushing the limits of process parameters, grinding burns often appear on the workpiece surface. These grinding burns are undesirable. They occur due to excess heat accumulation which impacts residual stresses and metallurgical structures, potentially leading to component cracks and failures. The rejection of such workpieces wastes time and resources, ultimately diminishing production efficiency.
The primary focus of this thesis is the early detection of grinding burns within the manufacturing process, achieved through the utilization of acoustic emission and current sensors in combination with critical process parameters. A mathematical model will be developed based on machine learning modeling techniques combining the sensors data, process parameters and evaluated surface quality. The objectives are prediction of grinding burn, and subsequently, optimization of the grinding process for higher productivity. - Interdisciplinary Engineering, Mechanical and Industrial Engineering, Statistics
- Master Thesis, Semester Project
| Factors driving uptake of renewable energy systems in Swiss households - Mathematics, Statistics
- Course Project, Internship, Lab Practice, Master Thesis, Semester Project
| The main tract for transmitting noxious stimuli is the spinothalamic tract, receiving its input from different types of small fibers in the skin i.e., mechanical- or heat-sensitive fibers. In spinal cord injury as in other pathologies involving neuropathic pain and sensation deficits, it is crucial to assess spinothalamic tract integrity with objective methods. This depends on a well-characterized stimulation modality, activating small fibers, and implies the recording of brain activity in response to this stimulation (electroencephalography; EEG). Intra-epidermal electrical stimulation (IES) using a concentric triple electrode is known for its clinical potential due to small fiber activation and is a good candidate for the activation of the spinothalamic tract. However, to implement IES as a diagnostic tool in the clinical routine, feasibility, and test-retest reliability need to be assessed compared to other stimulation modalities. - Central Nervous System, Neurology and Neuromuscular Diseases, Peripheral Nervous System, Sensory Systems
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| Many graphs in real-world applications are text-attributed graphs (TAG). Examples include the description of the condition of sensors and pipes and the water distribution network over the junctions, the posts on a social media platform and the following graph over the users, the text of academic articles and the citation network over these articles, among others. This project focuses on combining the power of graph neural networks (GNNs) and large language models (LLMs) to extract information from both the text modality and the graph modality to facilitate learning on TAGs in engineering applications. - Artificial Intelligence and Signal and Image Processing
- Master Thesis, Semester Project
| Diaxxo (diaxxo.com) is a start-up originated at ETH Zürich, where in the past 4 years we have
developed and prototyped an innovative Point-of-Care Polymerase Chain Reaction (PCR) device. Our
vision is to bring the power of molecular diagnostics to every doctor’s office, thanks to our new
pre-loaded PCR test kits that allow for simpler and faster sample preparation steps. In 2020 our
devices have been used by more than 250 laypeople for the rapid detection of COVID-19 in a field
study that we run at ETH Zürich, and our systems are currently being tested at the Swiss Tropical and
Public Health Institute (Swiss TPH). - Biology
- Bachelor Thesis, Master Thesis, Semester Project
| Diaxxo (diaxxo.com) is a start-up originated at ETH Zürich, where in the past 4 years we have
developed and prototyped an innovative Point-of-Care Polymerase Chain Reaction (PCR) device. Our
vision is to bring the power of molecular diagnostics to every doctor’s office, thanks to our new
pre-loaded PCR test kits that allow for simpler and faster sample preparation steps. In 2020 our
devices have been used by more than 250 laypeople for the rapid detection of COVID-19 in a field
study that we run at ETH Zürich, and our systems are currently being tested at the Swiss Tropical and
Public Health Institute (Swiss TPH). - Engineering and Technology
- Master Thesis, Semester Project, Student Assistant / HiWi
| Following trauma or due to degeneration it can be necessary to replace one or more intervertebral discs with an implant, a so-called Total Disc Replacement (TDR). Such devices enable motion though surfaces articulating against each other. While this treatment is clinically successful, it is connected to considerable complication and reoperation rates. Therefore, we are optimizing the design of such an implant to address these issues.
While many different designs and design types have been proposed and are used in clinical practice, there is no consensus on what design or design type is the most beneficial. However, it is hypothesized, that replicating the situation that is present in healthy (asymptomatic) subjects as closely as possible, is optimal. Since the motions of the cervical spine are coupled (coupling of rotation and translation as well as multiple rotations) the optimal design of the articulating surfaces is not obvious. Therefore, this master’s thesis project aims at designing the implants articulating surfaces using parametric design optimization in LS-OPT based on finite element simulations. - Engineering and Technology
- Master Thesis
| The focus of this project is on the fabrication of microelectrodes for advanced neural interfaces in a cutting-edge cleanroom environment. Our research aims to develop high-resolution neural probes utilizing state-of-the-art microfabrication techniques. - Biomedical Engineering, Biosensor Technologies, Mechanical Engineering, Nanotechnology
- Master Thesis, Semester Project
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