Sebastian Lackner
Phone: +49 (0) 6221 / 54 - 14353
Fax: +49 (0) 6221 / 54 - 14351
Office: INF 205, room 1/312 (first floor)
Email: lackner(at)informatik.uni-heidelberg(dot)de
Office hours during semester: Wednesday 1pm-2pm, Room 1.312, INF 205, or by appointment
Fax: +49 (0) 6221 / 54 - 14351
Office: INF 205, room 1/312 (first floor)
Email: lackner(at)informatik.uni-heidelberg(dot)de
Office hours during semester: Wednesday 1pm-2pm, Room 1.312, INF 205, or by appointment
News
- 2018-05-08: Accepted for publication at the 30th International Conference on Scientific and Statistical Database Management, July 9 - 11, 2018, Bolzano-Bozen, Italy: Sebastian Lackner, Andreas Spitz, Matthias Weidemüller, Michael Gertz. Efficient Anti-community Detection in Complex Networks.
About
I studied Applied Computer Science with a minor in Physics at the Ruprecht-Karls-University Heidelberg and received my Master of Science in March 2018. My master thesis investigated the concept of anti-community structures in networks and proposed multiple algorithms for efficient anti-community detection. Since April 2018 I am working as a researcher and PhD student at the Institute of Computer Science in the Database Systems Research group of Prof. Dr. Michael Gertz.Reviewing Activities
2019:
- AAAI 2020 (external)
- EMNLP 2019 (external)
- Artificial Intelligence
- SSTD 2019 (external)
- ACL 2019 (external)
2018:
- EDBT 2019 (external)
- BTW 2019 (external)
- SSDBM 2018 (external)
Research Interests
- Network Analysis / Graph Algorithms
- Graph Dynamics / Graph Evolution
- Information Retrieval / Information Extraction
- Data Mining / Text Mining
- Machine Learning
Publications
- Sebastian Lackner, Andreas Spitz, Matthias Weidemüller, and Michael Gertz.
Efficient Anti-community Detection in Complex Networks.
In: Proceedings of the 30th International Conference on Scientific and Statistical Database Management (SSDBM '18), Bozen-Bolzano, Italy, July 9–11. 2018
[pdf] [acm] [bibtex] [code] [slides]