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Department of Data Science

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Department of Data Science

  1. Home
  2. Research
  3. Research Groups
  4. Analytics & Mixed-Integer Optimization
  5. Projects
  6. Analytics
  7. Ada-Lovelace Center

Ada-Lovelace Center

In page navigation: Research
  • Agile Teams
    • IBO – Intelligent Business Optimization
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    • Analytics & Mixed-Integer Optimization
      • Group members
        • Dr. Andreas Bärmann
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        • M.Sc. Kristin Braun
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        • M.Sc. Daniela Bernhard
        • M.Sc. Christian Biefel
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    • Freimut Bodendorf
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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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