Prof. Dr. Anika Groß

Fachbereich 5 - Informatik und Sprachen

Prof. Dr. Anika Groß

Database Systems

Current Teaching

  • Winter Term 2022/2023: Databases and Application Programming, Programming and Modeling, Modern Database Concepts
  • previous semesters below 

Research interests

  • Focus on applications of database systems, data integration, ontologies/knowledge graphs, big data and data science in various domains such as medicine, biology, environmental research, material sciences 

HSA-Committees

  • Member of the faculty council
  • Member of the board of examiners
  • Substitute member of the commission for research

Publications

Talks (selection)

  • Link Reuse and Evolution for Data Integration
    Talk at the LSWT 2020 (8th Leipzig Semantic Web Day), Leipzig, June 2020.
  • Yet Another Matching Task: Link Reuse and Evolution in Data Integration Workflows
    Invited talk at the "LWDA - Lernen. Wissen. Daten. Analyse. (Learning. Knowledge. Data. Analysis.)", Berlin, October 2019.
  • NoSQL-Data Stores for Big Data
    Invited talk at the "2nd International ScaDS Summer School on Big Data", Leipzig, July 2016.
  • Reuse of Ontology Mappings
    Invited talk at the Australian National University (ANU), Canberra, Australia, March 2016.

Short CV

  • since 2019: Professor for Database Systems and Programming at Anhalt University of Applied Sciences, in Köthen / Sachsen-Anhalt
  • 2018: Data Scientist in strategic research and development on E-mobility at Daimler AG with Ferchau Engineering GmbH, Stuttgart Automotive
  • 2014 - 2017: PostDoc at the Database Group, Universität Leipzig (more information)
  • 2014: Graduation - Dr. rer. nat., Universität Leipzig
  • 2008 - 2013: Research assistant at the Database Group and the Interdisciplinary Centre for Bioinformatics (IZBI), Universität Leipzig
  • 2007: Diploma in Bioinformatics, MLU Halle-Wittenberg

Memberships / Chair

 Teaching (previous semesters)

    • Summer Term 2022: Programming and Modeling, Database Systems, Cloud and Big Data Management
    • Winter Term 2021/2022: Programming and Modeling, Modern Database Concepts, Data Science Project
    • Summer Term 2021: Database Systems, Cloud and Big Data Management, Data Science Project
    • Winter Term 2020/2021: Modern Database Concepts, Databases and Application Programming, Basic architectures - Databases


    Publikationen