Andreas Theissler’s research group
at
Aalen University of Applied Sciences
Research on Machine Learning
and Human-centered AI:
For humans, our society and our environment
This website addresses research questions from the fields of Machine Learning in applications, Machine Learning fundamentals, and human-centered AI:
Examples of our research for machine learning in applications are fault detection and quality assurance in automotive systems or manufacturing using ML-based anomaly detection, explainable ML-based seizure detection in medical EEG data, tactile sensing in robotics, predictive maintenance, and Deep Learning-based analysis of solar signals for exoplanet detection. This line of research addresses the recurring question when bringing Machine Learning to applications:
How can we utilize, adapt, combine or enhance state-of-the-art machine learning for real-world applications
in order to be beneficial for us humans or our environment?
Examples of research in the field of human-centered AI are explainable artificial intelligence (XAI) and learning from partly or fully unlabelled data – addressing the overriding question:
How can we enable, improve, evaluate, or understand machine learning by creating an interplay of humans and AI ?
On this website you will find information, publications and in some cases videos on reserarch I have conducted in the aforementioned fields. Research is a never-ending process… so you might want to check the website regularly, read through the provided news ticker, or follow me on researchgate.
Andreas Theissler
Professor at Aalen University of Applied Sciences, Germany
Interpretable Machine Learning / Explainable AI
Learning from unlabeled data
Machine Learning in Applications
Anomaly Detection