Profile
Abstract
Research associate at the Data Science Center ScaDS.AI at the University of Leipzig in the area of Service & Transfer. Research in topics related to Data Analysis and Integration, Artificial Intelligence and Visualization. Managing projects for application development and research with partners from industry, science and administration. Planning and conduction of trainings on Data Science and Artificial Intelligence. Coordination of the IT infrastructure at ScaDS.AI.
Professional career
- since 02/2019
Research associate at the Data Science Center ScaDS.AI / Leipzig University, Department Service & Transfer - 06/2001 - 09/2012
IT Network Administrator and Team Leader for Radio and Satellite Communications, German Armed Forces
Education
- 10/2016 - 02/2019
Computer Science, M.Sc., Leipzig University - 10/2012 - 09/2016
Media Informatics, B.Sc., HTWK Leipzig - 11/2006 - 01/2007
IT Network Administration - 10/2004 - 06/2006
IT Systems Electronics Technician, IHK
- AMPL - Automatic Meta Data Profiling and Lineage for Integrating Heterogeneous Data SourcesRahm, ErhardDuration: 01/2021 – 12/2023Funded by: BMBF Bundesministerium für Bildung und ForschungInvolved organisational units of Leipzig University: Datenbanken; Abteilung Forschung und Entwicklung
- Artificial and Human Intelligent (K-M-I) - Competence Center for Transformed Work in West Saxony; Subproject: AI-based data management and data analysis in the pilot projectsRahm, ErhardDuration: 12/2021 – 11/2026Funded by: BMBF Bundesministerium für Bildung und ForschungInvolved organisational units of Leipzig University: Datenbanken; WINF/Informationsmanagement; Abteilung Forschung und Entwicklung
- Competence Center for Interdisciplinary Data Sciences – Come2Data; Subproject: Learning, support and networking site Leipzig UniversityRahm, ErhardDuration: 11/2023 – 11/2026Funded by: BMBF Bundesministerium für Bildung und ForschungInvolved organisational units of Leipzig University: Datenbanken; Abteilung Forschung und Entwicklung; Institut für Medizinische Informatik, Statistik und Epidemiologie (IMISE)
- Rost, C.; Gomez, K.; Täschner, M.; Adameit, T.; Rahm, E.; Junghanns, M.Distributed temporal graph analytics with GRADOOPThe VLDB Journal. 2021. pp. 1–27.
- Gomez, K.; Täschner, M.; Rostami, M. A.; Rost, C.; Rahm, E.Graph Sampling with Distributed In-Memory Dataflow SystemsBTW2021 - Datenbanksysteme für Business, Technologie und Web. 2021. pp. 303–312.
- Miazga, M. P.; Abitz, D.; Täschner, M.; Rahm, E.Automated Configuration of Schema Matching Tools: A Reinforcement Learning ApproachDatenbanksysteme für Business, Technologie und Web (BTW 2025). 2025. pp. 331–354.DOI: 10.18420/BTW2025-15