Scholar
Wolfgang Gatterbauer
Google Scholar ID: 9mIBxkMAAAAJ
Khoury College of Computer Sciences, Northeastern University, Boston, USA
Citations & Impact
Citations
1,224
H-index
20
i10-index
36
Publications
20
Co-authors
20
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Supported by NSF Career Award IIS-1762268 and NSF Award IIS-1956096
- SIGMOD 2024 paper received Honorable Mention
- EDBT 2021 paper awarded Best Paper
- Papers at PODS 2021, SIGMOD 2017, VLDB 2015, and WALCOM 2017 selected as 'Best of Conference'
- Two SIGMOD 2020 papers received Reproducibility Awards
Background
- Works on the theory of scalable data management
- Aims to extend modern data management systems to support novel functionalities such as provenance, trust, explanations, and uncertain or inconsistent data
- Studies fundamental algebraic properties that enable algorithms to scale with data size by leveraging data structure
- For computationally hard queries, proposes 'algebraic cheating'—modifying objectives to preserve original intent while enabling desirable algebraic properties
- Approaches leveraging these properties achieve significant speed-ups with less training data
