Hermann Stolte

Hermann Stolte is a scientific collaborator at the Institute of Computer Science, Humboldt University of Berlin. His work focuses on data science, database systems, and information systems, with applications in astrophysics, educational technologies, and mobile app analysis.

• Institution: Humboldt University of Berlin
• Department: Databases and Information Systems

His research includes developing validation frameworks for data analysis workflows, plausibility checks in exploratory data analysis, and predictive modeling for user feedback. Recent work explores astrophysical data analysis and educational robotics.

Hermann's publications span data validation, star rating prediction from reviews, and transformative educational technologies. His work frequently addresses data quality, interpretability in machine learning, and interdisciplinary applications.