Stefan Neumann
Assistant Prof. Dr.techn. / BSc MSc
Research Focus
- Information Systems Engineering: 51%
- Logic and Computation: 49%
Research Areas
- Data Mining, Machine Learning, Graph Algorithms, social network analysis, Combinatorial Optimization, Theoretical Compurter Science, Algorithms and Data Structures
About
My research focus is on algorithms for data science and for social network analysis. In particular, I am interested in the following topics:
Foundations of data science: I develop practical data science algorithms with provable guarantees. I am particularly interested in the beyond worst-case analysis of algorithms.
Social network analysis: I study how interventions, such as timeline algorithms, influence the polarization and the disagreement in (online) social networks.
I am also generally interested in graph algorithms and (dynamic) data structures.
For more information, please see my homepage https://neumannstefan.com/.
Role
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Assistant Professor
Machine Learning, E194-06
Courses
Projects
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Towards Trustworthy Recommendation Systems for Online Social Networks
2023 – 2030 / Vienna Science and Technology Fund (WWTF)