معرفی
Tom Hanika is a Lecturer at the Institute of Library and Information Science, Humboldt University, within the Faculty of Philosophy. His research focuses on Knowledge Discovery, Machine Learning, and Formal Concept Analysis, with applications to high-dimensional data, databases, and social network analysis. He actively contributes to Open Science initiatives and scientometric studies.
He is a senior developer of the BibSonomy publication sharing system and maintains the FCA-tool conexp-clj. Hanika has held roles as Program Chair for ICCS and ICFCA conferences, and has served on program committees for ISWC, ECML/PKDD, and others. His work bridges theoretical foundations (e.g., lattice theory, ordinal data science) with practical applications in biology, geography, and digital humanities.
Recent research includes studying reproducibility in graph neural networks, ordinal motifs in lattices, and intrinsic dimensionality analysis. His contributions span over 50 peer-reviewed publications across venues like Information Sciences, Scientometrics, and Tohoku Mathematical Journal.
- Professional Memberships: German Computer Science Society, German Mathematical Society, Free Software Foundation
- Labs/Teams: Knowledge & Data Engineering Group (KDE), Intelligent Information Systems group
