Leo Sylvio Rüdian
Scholar

Leo Sylvio Rüdian

Google Scholar ID: fgfDDmkAAAAJ
Humboldt Universität zu Berlin
Machine LearningLearning AnalyticsArtificial Intelligence in Education
Citations & Impact
All-time
Citations
261
 
H-index
8
 
i10-index
6
 
Publications
20
 
Co-authors
0
 
Contact
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Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • PhD thesis focused on simplifying the creation of online courses using machine learning techniques; published work on sustainable financing strategies for free online courses.
Research Experience
  • Joined as a research assistant at the Weizenbaum Institute in autumn 2017; has been involved with the AI Campus project of DFKI since 2020; became part of the IMPACT project in April 2022, focusing on developing transparent and explainable AI methods to support teachers in providing formative feedback; has led the Moodle Lab at HU since 2023.
Education
  • Obtained a Master of Science degree in Computer Science from Humboldt University of Berlin in 2017; awarded a Doctor rerum naturalium (Dr. rer. nat.) degree in June 2024 from the same university.
Background
  • Research interests include machine learning, personalization of online courses, learning analytics, and educational data mining. Focuses on automatically generating and tailoring online courses to meet learners' needs.
Co-authors
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Co-authors: 0 (list not available)