About

• 2018 Master of Science (M.Sc.) Computer Science at Leipzig University
• 2016 Bachelor of Science (B.Sc.) Computer Science at Leipzig University

Contact

• +49 341 97 32370
• gomez [at] informatik.uni-leipzig.de
• Augustusplatz 10, Paulinum, Raum P414

Interests

• Distributed Computation Frameworks (Apache Flink, Apache Spark)
• Distributed Graph Processing (Apache Giraph, Gelly, GraphX)
• Stream Processing and State Handling

Selected Talks

• Temporal Graph Analysis @ ScaDS.AI Living Lab Lecture Series 2021
• Gradoop @BOSS’20 at 46th International Conference on VLDB
• Gradoop @FOSDEM 2020 GraphDevroom
• Gradoop @GRIDKA19 Karlsruhe 08/2019

Supervision of Thesis

• Running:

  • Bachelor Thesis: Maurice Eisenblätter, Optimizing Gradoop using data source serialization
  • Master Thesis: Maurice Eisenblätter, Implementation of an In-Memory data structure of the EPGM

• Finished:

  • Master Thesis: Simon Bordewisch, End-To-End Graph Stream Analytics
  • Master Thesis: Lukas Christ, Time-dependent Graph Pattern Matching
  • Master Thesis: Timo Adameit, An Evaluation of the EPGM based on Apache Spark
  • Bachelor Thesis: Lucas Schons, Distributed Layouting of Graph Collections with GRADOOP
  • Master Thesis: Daniel Baumgarten, Graph Layouting with GRADOOP
  • Master Thesis: Elias Saalmann, An Evaluation of the EPGM based on Apache Flink’s Table API

Publications

Rost, C; Gomez, K; Taeschner, M; Fritzsche, P; Schons, L; Christ, L; Adameit, T; Junghanns, M; Rahm, E Distributed temporal graph analytics with GRADOOP VLDB Journal 2021 Special Issue Paper 2021-05

Gomez, K.; Taeschner, M.; Rostami, M. Ali; Rost, C.; Rahm, E. Graph Sampling with Distributed In-Memory Dataflow Systems Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2021 2021-03

Rost, C.; Gomez, K.; Fritzsche, P.; Thor, A.; Rahm, E. Exploration and Analysis of Temporal Property Graphs 24th International Conference on Extending Database Technology (EDBT) 2021-03

Gomez, K.; Taeschner, M.; Rostami, M. Ali.; Rost, C.; Rahm, E. Distributed Graph Sampling with In-Memory Dataflow Systems Techn. Report, Univ. of Leipzig, arXiv:1910.04493, Oct 2019 2019-10

Rost, C.; Thor, A.; Fritzsche, P.; Gomez, K.; Rahm, E. Evolution Analysis of Large Graphs with Gradoop Proc. of Intl. Workshop on Advances in managing and mining large evolving graphs (LEG@ECML-PKDD) 2019-09

Junghanns, Martin; Kießling, Max; Teichmann, Niklas; Gomez, Kevin; Petermann, Andre; Rahm, Erhard Declarative and distributed graph analytics with GRADOOP PVLDB 2018-08

Petermann, A.; Junghanns, M.; Kemper, S.; Gomez, K.; Teichmann, N.; Rahm, E.; Graph Mining for Complex Data Analytics Proc. ICDM 2016 (Demo paper) 2016-12

Junghanns, M.; Petermann, A.; Teichmann, N.; Gomez, K.; Rahm, E. Analyzing Extended Property Graphs with Apache Flink Proc. Int. SIGMOD workshop on Network Data Analytics (NDA) 2016-07

Junghanns, M.; Petermann, A.; Gomez, K.; Rahm, E. GRADOOP: Scalable Graph Data Management and Analytics with Hadoop Techn. Report, Univ. of Leipzig, arXiv:1506.00548, June 2015 2015-06