About

• Since 12/2014 Data Science Zentrum (Zentrum für skalierbare Datenanalyse und Künstliche Intelligenz ScaDS.AI Dresden/Leipzig), Management@Universität Leipzig (www.scads.de)
• 2011 – 2014 Researcher at SAP SE

• 2007 – 2011 Research Associate at SAP Research CEC Dresden, SAP AG

• Graduation: Dr. rer. nat., Universität Leipzig, November 2013

• Diploma in Computer Science and Media, Technische Universität Dresden, July 2007

Contact

• +49 341 97 39 301
• peukert [at] informatik.uni-leipzig.de
• Data Science Zentrum - Center for Scalable Data Analytics and Aritficial Intelligence (ScaDS.AI Dresden Leipzig),
• Humboldstraße 25, 3. OG
• 04105 Leipzig

Research Interests

• (Temporal) Graph-based Data Integration & Matching
  • FAst Multi-source Entity Resolution system (FAMER)
• Big Data Frameworks
• Distributed Image Processing & Matching

Supervision of Thesis/ Lab-Projects

• Finished

  • Bachelor Thesis: Tim Matzek, Distributed Sum-Formula Lookup-Service (joint supervision with Dr. Oliver Lechtenfeld and Kai Franze from UFZ)
  • Master Thesis: Kai Franze, Chemical Rules in Massspectrometry analysis workflows (joint supervision with Dr. Oliver Lechtenfeld from UFZ)
  • Master Thesis: Georges Alkhouri, Deep Learning for Deduplication
  • Master Thesis, Marcel Jacob, Effiziente Haltung und Abfrage geotemporaler Daten im Apache Hadoop-Ökosystem (Joint supervision with Martin Grimmer from MGM technology partners)
  • Kevin Förster, Eignung von Workflow-Management-Tools für BigData- Aufgabenstellungen (co-supervised with Lars-Peter Meyer)
  • Master Thesis , Wolfgang Amman, Vergleich und Evaluation von RDF-on-Hadoop Lösungen
  • Master Thesis, Kevin Jacob, Verwaltung und Verarbeitung von Massenspektrometerdaten (joint supervision with Dr. Anika Groß from DBS-Group and Dr. Oliver Lechtenfeld, Julia Raeke from UFZ)
  • Master Thesis, Florian Pretsch, Entwicklung von Techniken zur Datenintegration und Datenqualitätsverbesserung für die Graph-Processing-Platform GRADOOP (Joint supervision with Prof. Thor from HFTL)
  • Bachelor Thesis: Katharina Thießen, Dedoop in KNIME
  • Bachelor Thesis: Christian Fuß, Graph-based Similarity Measure for Matching in Gradoop
  • Master Thesis: Christopher Rost, Image-based Deduplication
  • Bachelor Thesis: Marc Stöhr, Graph-Transformation in Gradoop

• Lab-Projects

  • SHK, Florens Rohde, Machine Learning for FAMER
  • SHK, Volodymyr Moroz, Graph Analytics Workflows in the Gradoop Service
  • SHK, Anja Neumann, Visual Analytics of metabolic networks with the Gradoop Service
  • SHK, Simon Hüning, Command Line Interface for Dedoop (finished)
  • SHK, Falco Kirchner, Imputation with SLURM on HPC and Shared Nothing Architectures (Joint supervision with Holger Kirsten from IMISE)(finished)

• Open Topics and Working Student Positions (see www.scads.de)

Teaching

• Supporting Big Data Praktikum 2016, 2017, 2018
• Organizing Big Data Ringvorlesung 2017
• Vorlesung Cloud Data Management CDM 2017/18
• Vorlesung Cloud Data Management CDM 2019
• Vorlesung Cloud und Big Data Management CBDM 2020/21
• Vorlesung Cloud und Big Data Management CBDM 2021/22
• Vorlesung Cloud und Big Data Management CBDM 2022/23

Publications

Sakr, E; Bonifati, A; Voigt, H; Iosup, A; et. al.; Peukert, E.; et.al. The Future is Big Graphs! A Community View on Graph Processing Systems In CACM to be published 2020-12-11

Braun, Simone; Alkhouri, Georges; Peukert, Eric KOBRA: Praxisfähige lernbasierte Verfahren zur automatischen Konfiguration von Business-Regeln in Duplikaterkennungssystemen GI-Jahrestagung, LNI 2020-09

Saeedi, Alieh; Peukert, Eric; Rahm, Erhard Incremental Multi-source Entity Resolution for Knowledge Graph Completion Proc. ESWC 2020-06

Kricke, M.; Peukert, E.; Rahm, E. Graph data transformations in GRADOOP Proc. BTW, March 2019 2019-03

Rahm, E.; Nagel, W.E.; Peukert, E.; Jäkel, R.; Gärtner, F.; Stadler, P.F.; Wiegreffe, D.; Zeckzer, D.; Lehner, W. Big Data Competence Center ScaDS Dresden/Leipzig: Overview and selected research activities Datenbank-Spektrum 19 (1) 2019-03

Rostami, M.A.; Kricke, M.; Peukert, E.; Kühne, S.; Wilke, M.; Dienst, S.; Rahm, E. BIGGR: Bringing Gradoop to Applications Datenbank-Spektrum 2019-03

Jäkel, R.; Peukert, Eric; Nagel, W.E.; Rahm, Erhard ScaDS Dresden/Leipzig – A competence center for collaborative big data research it-Information Technology 2018-11

Saeedi, Alieh; Nentwig, Markus; Peukert, Eric; Rahm, Erhard Scalable Matching and Clustering of Entities with FAMER Complex Systems Informatics and Modeling Quarterly (CSIMQ), Issue 16, Sep./Oct. 2018, pp 61–83 2018-11

Saeedi, Alieh; Peukert, Eric; Rahm, Erhard Using Link Features for Entity Clustering in Knowledge Graphs Proc. ESWC 2018 (Best research paper award) 2018-06

Rostami, M. Ali; Saeedi, Alieh; Peukert, Eric ; Rahm, Erhard Interactive Visualization of Large Similarity Graphs and Entity Resolution Clusters Proc. EDBT 2018 2018-03

Rahm, E.; Peukert, E. Holistic Schema Matching Encyclopedia of Big Data Technologies (accepted for publication) 2018

Rahm, E.; Peukert, E. Large-Scale Entity Resolution Encyclopedia of Big Data Technologies (accepted for publication) 2018

Rahm, E.; Peukert, E. Large-Scale Schema Matching Encyclopedia of Big Data Technologies (accepted for publication) 2018

Pascal Hirmer; Tim Waizenegger; Ghareeb Falazi; Majd Abdo; Yuliya Volga; Alexander Askinadze; Matthias Liebeck; Stefan Conrad; Tobias Hildebrandt; Conrad Indiono; Stefanie Rinderle-Ma; Martin Grimmer; Matthias Kricke; Eric Peukert The First Data Science Challenge at BTW 2017 Datenbank-Spektrum 2017-09

Saeedi, Alieh; Peukert, Eric; Rahm, Erhard Comparative Evaluation of Distributed Clustering Schemes for Multi-source Entity Resolution Proc. ADBIS, LNCS 10509, pp 278-293 2017-09

Hirmer, P; Waizenegger, T; Falazi, G; Abdo, M; Volga, Y; Askinadze, A; Liebeck, M; Conrad, S; Hildebrandt, T; Indiono, C; Rinderle-Ma, S; Grimmer, M; Kricke, M; Peukert, P The First Data Science Challenge at BTW 2017 Datenbank-Spektrum 17 2017-07-24

Peukert, E; Wartner, C LEAP Data and Knowledge Integration Infrastructure Taking the LEAP, 1st Edition The Methods and Tools of the Linked Engineering and Manufacturing Platform (LEAP) 2016-06-17

Peukert, Eric; Wartner, Christian; Rahm, Erhard Smart Link Infrastructure for Integrating and Analyzing Process Data Proc. of 16. GI-Fachtagung für Datenbanksysteme in Business, Technologie und Web (BTW), 2015 2015-03

Pfeiffer, Katja.; Peukert, Eric Integration of Text Mining Taxonomies Knowledge Discovery, Knowledge Engineering and Knowledge Management 2015-01-01

Peukert, Eric Process-based Schema Matching: From Manual Design to Adaptive Process Construction Universität Leipzig 2013-11-29

Pfeifer, Katja; Peukert, Eric Mapping Text Mining Taxonomies KDIR 2013 2013-09-19

Peukert, E.; Eberius, J.; Rahm, E. A Self-Configuring Schema Matching System Proc. 28th Intl. Conference on Data Engineering (ICDE), 2012 2012-04

Peukert, Eric; Eberius, Julian, Rahm, Erhard Rule-based Construction of Matching Processes Proc. CIKM (Poster), pp 2421-2424 2011-10

Peukert, E.; Eberius, J.; Rahm, E. AMC – A Framework for Modelling and Comparing Matching Systems as Matching Processes Proc. Int. Conf. on Data Engineering (Demo paper), 2011 2011-04

Peukert, Eric; Rahm, Erhard Restricting the Overlap of Top-N Sets in Schema Matching Proc. EDBT workhop on New Trends in Similarity Search (NTSS 2011) 2011-03

Peukert, E; Massmann, Sabine; König, Kathleen Comparing Similarity Combination Methods for Schema Matching GI-Workshop - Informationsintegration in Service-Architekturen 2010-09-30

Peukert, Eric; Berthold, Henrike; Rahm, Erhard Rewrite Techniques for Performance Optimization of Schema Matching Processes 13th International Conference on Extending Database Technology, EDBT 2010 2010-03