Research
Evolutionary Computation
Evolutionary Computation (EC) methods and most prominent Evolutionary Algorithms (EA) are a class of optimization algorithms inspired by the process of natural selection and evolution. These algorithms mimic the principles of biological evolution to search for optimal solutions in complex problem spaces.
I am particularly interested in the influence of random numbers on the performance of evolutionary algorithms, how they can be executed as energy-efficiently as possible and how they can be used to train AI models
Motion Capture and Sensor Data Processing
Motion Capture research centers on sensor data processing, refining techniques to accurately capture and interpret human movements for applications in health, biomechanics, and virtual reality.
In an ongoing project with students at the university, I am developing a practical, low-cost optical motion capture system made up of open source components.
Free and Open Source Software
Free and Open Source Software (FOSS) drives technological innovation, supports economic growth through shared development and reduced barriers, and strengthens democratic values by ensuring transparency, accessibility, and community empowerment.
In particular, the research focuses on how FOSS can contribute to improving the digital sovereignty and autonomy of entities and how societies can benefit from the democratic values of FOSS.
