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Department of Data Science

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Department of Data Science

In page navigation: Research
  • Agile Teams
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    • Professur im Themenfeld Data Science
    • Digital Sovereignty
    • Mathematical Statistics and Data Science
    • Mathematics for Graph-based Data Science
    • Optimization under Uncertainty & Data Analysis
      • Group members
        • Dr. Kevin-Martin Aigner
        • M.Sc. Daniela Bernhard
        • M.Sc. Martin Betz
        • M.Sc. Sebastian Denzler
        • M.Sc. Jana Dienstbier
        • M.Sc. Andrea Gilch
        • Prof. Dr. Frauke Liers
        • M.Sc. Arthur Miehlich
        • Dr. Florian Rösel
        • M.Sc. Sebastian Tschuppik
        • M.Sc. Friedrich Wagner
        • M.Sc. Jorge Weston
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    • Professur im Themenfeld Data Science
  • Professors, Lecturers and Researchers
  • Secondary Members of DDS
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M.Sc. Andrea Gilch

M.Sc. Andrea Gilch

Andrea Gilch

Department of Data Science (DDS)
Professorship of Optimization under Uncertainty & Data Analysis (Prof. Dr. Liers)

Room: Room OSA 2.4
Nürnberger Str. 74
91052 Erlangen
  • Email: andrea.gilch@fau.de
  • Website: https://www.datascience.nat.fau.eu/research/groups/ouda/members/andrea-gilch/

Projects

  • Quality control by robust optimisation


    (Third Party Funds Group – Sub project)
    Overall project: SFB 1411: Design of particulate products
    Term: since 1. January 2020
    Funding source: DFG / Sonderforschungsbereich (SFB)
    Abstract
    The objective is the development, algorithmic design, implementation and validation of robust mathematical optimisation methods for protecting the design of particulate products against uncertainties. Global solution methods will be investigated for optimal robust chromatography as well as synthesis processes, develop-ing methods based on reformulation and decomposition. The obtained results will be validated with the projects. Information on which uncertainties are most relevant and should be reduced, together with recommendations on robust optimum design and quality control, will be returned to the experimental Projects.
    →More information

Publications

  • Cebulla DH., Gilch A., Rolfes J., Kirches C., Liers-Bergmann F.:
    An alternating optimization approach for robust optimal control in chromatography
    (2025)
    Open Access: https://optimization-online.org/2025/11/an-alternating-optimization-approach-for-robust-optimal-control-in-chromatography/
    URL: https://optimization-online.org/?p=32631
  • Dienstbier J., Gilch A., Muneer A., Pflug L.:
    Model based process optimization for nanoparticle precipitation
    (2025)
  • Mishra A., Gilch A., Apeleo Zubiri B., Rolfes J., Liers-Bergmann F.:
    High-Quality Tomographic Image Reconstruction Integrating Neural Networks and Mathematical Optimization
    (2025)
    DOI: 10.48550/arXiv.2509.06082

Research Activities

  • Mathematical Optimization of integrated Synthesis and Separation
    (Speech / Talk)
    8. October 2025, Event: Particle Based Materials Symposium
  • Women's representative of FAU
    (Membership in representative bodies / functions (FAU-internal))
    since 1. March 2025

 

Department of Data Science
Friedrich-Alexander-Universität Erlangen-Nürnberg

Nürnberger Str. 74
91052 Erlangen
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