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Department of Data Science
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Department of Data Science

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  • Department
    • Department of Data Science
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    • Bachelor Data Science (German)
    • Master Data Science (English)
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    • Research Groups
      • Analytics & Mixed-Integer Optimization
      • Data Analytics
      • Digital Sovereignty
      • Mathematical Statistics
      • Optimization under Uncertainty & Data Analysis
    • Agile Teams
      • IBO – Intelligent Business Optimization
      • DynDat – Dynamic data inversion, learning and control
    • Professors, Lecturers and Researchers
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Department of Data Science

In page navigation: Research
  • Agile Teams
    • IBO – Intelligent Business Optimization
    • DynDat – Dynamic data inversion, learning and control
  • Research Groups
    • Analytics & Mixed-Integer Optimization
      • Group members
        • Dr. Andreas Bärmann
          • Projects
          • Publications
          • Teaching
        • M.Sc. Kristin Braun
          • Publications
        • Prof. Dr. Yiannis Giannakopoulos
        • M.Sc. Adrian Göß
        • M.Sc. Lukas Hager
        • M.Sc. Johannes Hahn
        • M.Sc. Katrin Halbig
        • M.Sc. Jan Krause
        • M.Sc. Richard Krug
          • Projects
        • M.Sc. Alexander Müller
          • Projects
        • Dipl.-Math. Galina Orlinskaya
          • Projects
          • Publications
        • Dr. Jan Rolfes, Akad. Rat
          • Publications
          • Teaching
        • Hanno Schülldorf
        • M.Sc. Sonja Weiland
        • Dr. Dieter Weninger, Akad. Rat
          • Projects
          • Publications
          • Teaching
      • Projects
        • Analytics
          • Ada-Lovelace Center
        • Energy
        • Engineering and Physics
        • Logistics and Production
        • Mixed Integer Programming
        • TRR 154 (Transregio)
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        • Bachelor Thesis
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        • Conference on Optimization and Machine Learning in Industry
      • How to find us
    • Data Analytics
      • Prof. Dr. Timm Oertel
    • Digital Sovereignty
    • Dynamics, Control, Machine Learning and Numerics (Alexander von Humboldt-Professur)
      • Events
      • Team
      • Humboldt-Professorship
    • Mathematical Statistics
    • Optimization under Uncertainty & Data Analysis
      • Group members
        • M.Sc. Kevin-Martin Aigner
          • Projects
          • Publications
          • Research Activities
        • M.Sc. Daniela Bernhard
        • M.Sc. Jana Dienstbier
          • Publications
        • M.Sc. Benno Hoch
          • Projects
        • M.Sc. Martina Kuchlbauer
          • Projects
          • Publications
        • Prof. Dr. Frauke Liers
        • M.Sc. Florian Rösel
          • Projects
          • Publications
        • Sebastian Tschuppik
          • Projects
        • Friedrich Wagner
        • M.Sc. Jorge Weston
      • Projects
      • Publications
      • PhD Theses
      • Teaching
      • Bachelor and Master Theses
      • How to find us
  • Professors, Lecturers and Researchers
    • Marie-Christine Düker
    • Yiannis Giannakopoulos
    • Jens Habermann
    • Johannes Helbig
    • Manfred Kronz
    • Frauke Liers
    • Timm Oertel
    • Dieter Weninger
    • Marius Yamakou
  • Secondary Members of DDS
    • Freimut Bodendorf
    • Günter Leugering
  • Former Members

Ada-Lovelace Center

Artificial Intelligence (AI) has long left behind its character as a solely theoretic discipline and permeates more and more our daily life. It enables digital assistants, cooperating robots as well as as vastly autonomous vehicles and production facilities. The ADA Lovelace Center for Analytics, Data and Applications has been founded by the Fraunhofer Institute for Integrated Circuits (IIS), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and Ludwig-Maximilians-Universität München (LMU). It is a partner for the national and international industry whose aim it is to help them benefit from these developments and to make them economically usable.

Driver Assistance Systems in Railway Traffic

We develop mathematical optimization methods for an energy-efficient control of train departures and velocity profile choice in real time. This includes the improved utilization of recuperated braking energy.
Participants: Andreas Bärmann, Patrick Gemander, Lukas Hager, Oskar Schneider

©VAG – Claus Felix

Energy-Efficient Timetable Optimization in the Nuremberg Underground System

In this project, we work together with VAG Verkehrs-Aktiengesellschaft in order to reduce the energy consumption of the Nuremberg underground system. Via slight adaptions of the underground timetable, we enable the choice of energy-efficient velocity profiles of the trains and increase the utilization of recuperated braking energy.

Participants: Andreas Bärmann, Patrick Gemander, Lukas Hager

Optimized Production Planning in the Tea Industry

We work together with a leading German tea producer in order to optimize the selection of raw materials in the production process. We develop mathematical methods to solve this challenging mixture optimization problem.

Participants: Andreas Bärmann, Oskar Schneider

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

Cauerstr. 11
91058 Erlangen
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