About

• Since 08/2016: Researcher at Big Data Competence Center (ScaDS Dresden/Leipzig)
• 03/2014 - 07/2016: IT-Specialist, mgm technology partners GmbH
  • BigData Projects with BMW Forschung und Technik GmbH, GfK Data & Technology, Lidl
• 08/2012 - 02/2014: Algorithm Engineer at R&D of Unister GmbH
  
  
• Master of Science (Computer Science), MLU Halle-Wittenberg, November 2012

Contact

• +49 341 97 39-517
• kricke [at] informatik.uni-leipzig.de
• Ritterstraße 9, ScaDS 2. Etage, Room 2.4

Research Interests

• Graph-based Data Integration & Matching
  • GrETL
  • Gradoop-Service
• Big Data Frameworks
  • Distributed Computation Frameworks (Flink, Spark, etc.)
  • Distributed Storage Systems (Accumulo, HBase, etc.)
  • Geotemporal Data Management (Geomesa, Geowave, Timly etc.)

Talks

• Building a real time Tweet map with Flink in six weeks Slides

Publications

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

Grimmer, Martin; Röhling, Martin Max; Kricke, Matthias; Franczyk, Bogdan; Rahm, Erhard Intrusion Detection on System Call Graphs 25. DFN-Konferenz “Sicherheit in vernetzten Systemen” 2018

Kricke, M; Grimmer, M; Schneißer, M Preserving Recomputability of Results from Big Data Transformation Workflows Depending on External Systems and Human Interaction Datenbank Spektrum 17 2017-09-12

Matthias Kricke; Martin Grimmer; Michael Schmeißer Preserving Recomputability of Results from Big Data Transformation Workflows Depending on External Systems and Human Interaction Datenbank-Spektrum 2017-09

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

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

Kricke, Matthias; Grimmer, Martin; Schmeißer, Michael Preserving Recomputability of Results from Big Data Transformation Workflows Workshop Proceedings BTW, Lecture Notes in Informatics(LNI), GI 2017 2017-03-07

Supervision of Theses

• MA Alexander Kern: Informationsfusion für geclusterte Graphdaten in Gradoop (Information fusion for clustered graph data in gradoop) (2018)
• MA Katja Englert: Vergleich und Evaluation von BigData ETL-Frameworks (Comparison and Evaluation of BigData ETL-Frameworks) (2018)
• MA Oliver Swoboda: Serverseitige Aggregation von Zeitreihendaten in verteilten NoSQL-Datenbanken (server site aggregation of time-series data in distributed NoSQL databases) (2017)
• MA Paul Röwer: Skalierbares Clustering geotemporaler Daten auf verteilten Systemen (scalable clustering of geotemporal data on distributed systems) (2016)
• BA Volodymyr Moroz: Apache Beam und der Preis der Abstraktion (Apache Beam and the price of unification) (2018)
• BA Philip Fritzsche: Halb-Automatisiertes Graphschemamatching mit Gradoop und Coma++ (Semi-automated graph schema matchong with Gradoop and Coma++) (2018)
• BA Hannes Riesche: Von Relationalen- zu Graphdaten mit Gradoop (From Relational to Graph Data with Gradoop) (2018)
• BA Christian Fuß: Entwicklung eines Gradoop Operators für ein Topologie basiertes Similarity Measure (Development of a Gradoop operator for calculation of topology-based similarity measures) (2017)