Students & Thesis Projects

Supervisor: Francesco Moscato
Department: Center for Medical Physics and Biomedical Engineering

Project Title: Development of data analysis for wearable sensor systems in medical application

The advent of wearable sensor technology offers innovative methods for remotely measuring physiological parameters. These devices can track a wide range of data, from cardiovascular metrics like heart rate and oxygen saturation, to contextual aspects such as activities of daily living or manual dexterity. The applications of this technology are extensive and promising. However, to fully leverage the abundance of data available, a more comprehensive and effective analysis is essential. This involves not only examining individual parameters but also exploring their interactions and combined effects.

Advancements in artificial intelligence, particularly through deep neural networks, have demonstrated significant capabilities in analyzing extensive time series data effectively. These methods allow for the exploration of complex patterns and trends within the data, enhancing our understanding and potentially leading to new insights in personalized medicine and health monitoring. By harnessing these tools, new avenues are opened up, offering more targeted and effective interventions based on the continuous data provided by wearable technologies.

Therefore, within this thesis new data analysis strategies are developed and applied to wearable data in the context of medical applications.

Supervisor: Francesco Moscato
Department: Center for Medical Physics and Biomedical Engineering

Project Title: Biomechanics, design and tests of multimaterials for additively manufactured implants

Our society not only witnesses an increase in life expectancy, leading to a growing demand for necessary care, but also expects continuous improvement in medical treatment. Multimaterial 3D-printed, patient-specific implants could be groundbreaking in meeting these demands. These studies research the prerequisites for enabling such implants.

This research focuses on the interplay of various materials when combined into a multimaterial implant, as well as ensuring that the geometric structure meets all mechanical requirements. To achieve optimal osseointegration of the implants, it is beneficial to incorporate lattice structures that provide high porosity.
Another step involves verifying and iteratively improving the accuracy of lithography-based ceramic 3D printing and the necessary subsequent sintering processes to ensure the perfect fit of all ceramic implants.

Finally, the goal is to integrate all previous components and master the art of implant design. This includes the development of advanced computer-aided methods to automate as many steps as possible, ensuring consistent quality.

Publications:

Kornfellner, E., Königshofer, M., Krainz, L. et al. Measured and simulated mechanical properties of additively manufactured matrix-inclusion multimaterials fabricated by material jetting. 3D Print Med 10, 4 (2024).

Kornfellner E, Königshofer M, Unger E and Moscato F (2023) Elastic and dimensional properties of newly combined 3D-printed multimaterials fabricated by DLP stereolithography. Front. Mater. 10:1272147.

Tel, A., Kornfellner, E., Moscato, F. et al. Optimizing efficiency in the creation of patient-specific plates through field-driven generative design in maxillofacial surgery. Sci Rep 13, 12082 (2023).