Master Thesis

Browse all posts in the Master Thesis category.

6 total

29MAY 2026
Master Thesis
Designing and implementing an ultrasonic array to create Moiré patterns based on standing acoustic wave interference
As part of a collaboration with other institutes, ASM is developing a regenerator for muscle tissue. In this regenerator, muscle tissue is first decellularized until only the extracellular matrix remains. In a second step, the extracellular matrix is recellularized with new muscle cells. As shown in [1] ultrasound can generally support the alignment of cells […]
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31MAR 2026
Bachelor Thesis
Explainable Failure Analysis in Time-Series Data Using SHAP
Explainability is critical for the adoption of machine learning models in industrial systems, particularly for failure detection and prediction. This thesis explores the application of SHapley Additive exPlanations (SHAP) to time-series data containing failure events, focusing on attributing model decisions to both relevant features and critical time steps to improve transparency and trust. Requirements Please […]Explainability is critical for the adoption of machine learning models in industrial systems, particularly for failure detection and prediction. This thesis explores the application of SHapley Additive exPlanations (SHAP) to time-series data containing failure events, focusing on attributing model decisions to both relevant features and critical time steps to improve transparency and trust. Requirements Please […]
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26MAY 2025
Bachelor Thesis
Evaluating Optimization Algorithms for Human Gait Simulations
Are you interested in helping us improve our human gait simulations? We use these simulations to predict the effect of interventions like prostheses and exoskeletons, and to perform detailed biomechanical movement analysis from wearable sensor data. We are looking for a student to investigate the optimization algorithm that we use to generate the simulation. It […]
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25APR 2025
Master Thesis
Benchmarking Energy Expenditure Estimation: AI vs. Metabolic Cost Models
In clinical and sports science applications, the accurate estimation of energy expenditure (EE) is critical for evaluating physical performance, rehabilitation progress, and overall health. Traditionally, EE has been estimated through metabolic cost models based on joint kinematics and musculoskeletal dynamics. However, recent advances in AI particularly in machine learning and deep learning have opened new […]In clinical and sports science applications, the accurate estimation of energy expenditure (EE) is critical for evaluating physical performance, rehabilitation progress, and overall health. Traditionally, EE has been estimated through metabolic cost models based on joint kinematics and musculoskeletal dynamics. However, recent advances in AI particularly in machine learning and deep learning have opened new […]
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