Kea - a curious and intelligent parrot from the South Island of New Zealand. (c) J. Frochte
Below you can find some topics and brief descriptions of my fields of interest. Published papers including preprints are provided here and information and codes concerning my books here.
- Continual Learning: Machine Learning methods & models for continuous learning.
- Machine Learning of Ill-Posed Problems: Investigating machine learning approaches to address mathematically ill-posed problems that lack unique solutions, are sensitive to initial conditions or do not have a stable solution.
- Explainable AI: Techniques to enhance the interpretability and transparency of AI models.
- Educational Data Mining and Learning Analytics: Improving learning outcomes and motivational factors through data-driven insights and gamification techniques.
- Data Science and Interdisciplinary Applications: Utilizing data science methods in fields like mechatronics and robotics.
- Sustainable AI and Digital Transformation: Developing energy-efficient AI technologies and supporting digital transformation in industries with a focus on environmental protection.
Beyond these topics, I am also deeply interested in applications of machine learning in games, although I have had limited opportunities to explore this area and am looking for project partners.