portrait photo
  • Dr. Victor Christen
  • christen [at] informatik [dot] uni-leipzig [dot] de
  • +49 341 - 97 322 27

  • Augustusplatz 10, 04109, Leipzig
    (Paulinum Raum P425)

About

  • Seit Oktober 2014 wissenschaftlicher Mitarbeiter
  • September 2014: M. Sc. in Informatik an der Universität Leipzig

Teaching

Lectures:

  • DBS2: 2019
  • Data Wrangling: SoSe2022
  • Data Preparation & Cleaning (former Data Wrangling): SoSe 2023

Tutorials:

Seminars:

Labs:

Betreute Abschlussarbeiten (26)

Jahr Typ Student Titel Status
2025 M. Sc. Konstantin Witossek Knowledge Distillation of Large Language Models for Use Cases of the German Aerospace Center Running
2024 B. Sc. Friedrich Schwella Node embedding based entity linking for medical forms Running
2024 B. Sc. Marco Gruner Improvement of Quality Estimation methods for Record Linkage Running
2024 B. Sc. Markus Wetzel Model selection for Privacy Preserving Record Linkage Running
2024 M. Sc. Philipp Rickayzen Quality Estimation of record linkage results using an ensemble of cluster methods Running
2024 B. Sc. Kelly Lum Similarity feature space Extension in Multi-ER Running
2024 B. Sc. Colin Hartkopf Realization of an infrastructure to maintain record linkage tasks Running
2023 M. Sc. Abdulnaser Sabra Transfer learning for record linkage using Data Profiling Running
2024 B. Sc. Maen Khatab Bird Species Classification on Images Finished
2024 M. Sc. Jerome Würf Ontology Matching using Graph ML Finished
2024 M. Sc. Tim Matzeck Attacks on PPRL using node embedding techniques Finished
2024 M. Sc. Richard Prey Partner churn prediction for Synaxon AG Finished
2024 M. Sc. Paul Brassel Trainingsdatengenerierung für Privacy Preserving Record Linkage Finished
2023 B. Sc. Mehdi Karbalai Realisierung einer Android-App zur Extraktion der Metainformationen von Klausuren Finished
2023 B. Sc. Tom Wawerek AI-Driven Development Finished
2023 M. Sc. Robert Weiske Vorhersage der Clusterqualität unter Verwendung von Ähnlichkeitsgraph-Charakteristiken Finished
2022 M. Sc. Leonie Preker Evaluating embedding methods for genomic data Finished
2022 B. Sc. Tim Häntschel Evaluation of Autoencoders for encrypting Bloom-Filters Finished
2020 B. Sc. Robert Weiske Incremental Entity-Resolution using cluster vector representations Finished
2020 M. Sc. Jonas Kreusch Parallelisierung von Meta-Blocking Ansätzen in FAMER Finished
2020 B. Sc. Marcus Stelzer Realisierung eines Frameworks zur forensischen Gutachtenerstellung und Auswertung der Browser-Historie Finished
2020 B. Sc. Bingqing Hu Postprocessing mit Knotenembeddings Finished
2019 B. Sc. Michael Koch Integration von EAGLE in FAMER Finished
2019 B. Sc. Jan Buchholz Datenerfassung für die Untersuchung von Primaten (Kooperation MPI) Finished
2018 B. Sc. David Geistert Visualisierung von Annotation-Mappings für klinische Formulare Finished
2018 B. Sc. Nico Duldhardt Tree-based Learning Methods for Match Classification with Apache Flink Finished

Publications (21)

Dateien Cover Beschreibung Jahr
Slice it up: Unmasking User Identities in Smartwatch Health Data
Lange, L. ; Schreieder, T. ; Christen, V. ; Rahm, E.
20th ACM ASIA Conference on Computer and Communications Security (AsiaCCS 2025) [accepted]
2025 / 8
Multi-Layer Privacy-Preserving Record Linkage with Clerical Review based on gradual information disclosure
Rohde, F. ; Christen, V. ; Franke, M. ; Rahm, E.
21st Conference on Database Systems for Business, Technology and Web (BTW 2025) [accepted]
2025 / 3
(Privately) Estimating Linkage Quality for Record Linkage
Franke, M. ; Christen, V. ; Christen, P. ; Rohde, F. ; Rahm, E.
27th International Conference on Extending Database Technology
2024 / 3
Value-specific Weighting for Record-level Encodings in Privacy-Preserving Record Linkage
Rohde, F. ; Franke, M. ; Christen, V. ; Rahm, E.
Conference on Database Systems for Business, Technology and Web (BTW) 2023
2023 / 3
Big Data Integration for Industry 4.0
Obraczka, D. ; Saeedi, A. ; Christen, V. ; Rahm, E.
Digital Transformation
2023 / 2
Privacy-Preserving Record Linkage using Autoencoders
Christen, V. ; Häntschel, T. ; Christen, P. ; Rahm, E.
International Journal of Data Science and Analytics
2022 / 12
Advanced Methods for Entity Linking in the Life Sciences
Christen, V.
Dissertation, Universität Leipzig
2021 / 1
Evaluating Cross-lingual Semantic Annotation for Medical Forms
Lin, Y. ; Christen, V. ; Groß, A. ; Kirsten, T. ; Cardoso, S. ; Pruski, C. ; Silveira, M. ; Rahm, E.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, 145-155, 2020, Valletta, Malta. DOI: 10.5220/0008979901450155
2020 / 2
Informativeness-Based Active Learning for Entity Resolution
Christen, V. ; Christen, P. ; Rahm, E.
Proc. International Workshop on Data Integration and Applications(DINA@ECML-PKDD), Würzburg
2019 / 9
A learning-based approach to combine medical annotation results
Christen, V. ; Lin, Y. ; Groß, A. ; Cardoso, S. ; Pruski, C. ; Silveira, M. ; Rahm, E.
Data Integration in the Life Science (DILS) 2018
2018 / 11