Innolab

In our Innovation Lab, student teams of 5-6 people spend a semester working on Data Science projects. The students are intensively supervised by the team of experienced coaches over the whole project period. We welcome projects from the industry, please come in contact with us if you have an interesting problem to solve. You get a proof-of-concept with state-of-the-art machine learning techniques and there is also an optional possibility to purchase the usage-rights.

Projects

  • Sustainability Mirror for European Cities
  • Energy Consumption Prediction Challenge
  • IASS Social Sustainability Barometer
  • mlr3forecasting: Time Series Forecasting with Machine Learning
  • Disaster Prediction Challenge

  • Anomaly Detection in X-Ray Images
  • Cross-Region Spatial Interpolation
  • KDD Cup
  • Ensemble Link Prediction for Knowledge Graphs
  • Super Resolution
  • Knowledge-based Argumentation
  • The Edmonton Tree Project

  • Accessibility to public transport in Munich
  • ggparty
  • mlr playground

Team

  • All
  • Professors
  • Coordinators

Prof. Dr. Thomas Seidl

Head of group Database-System

Department of Computer Science

Dieter Kranzlmüller

Director of LRZ

Department of Communication-Systems

Bernd Bischl

Head of group Statistical Learning and Data Science

Department of Statistics

Evgeniy Faerman

Research Assistant

Florian Pfisterer

Research Assistant

Christoph Molnar

Research Assistant

See all

Collaborate with us

  • Ludwig-Maximilians-Universität München
  • Institut für Informatik
  • Lehrstuhl für Datenbanksysteme und Data Mining
  • Oettingenstraße 67
  • 80538 München, Germany
  • info@educenter.com
  • +211234565523

We are always looking for project partners from industry and academia. The Innovation Lab is an excellent opportunity for you to get smart and eager students to work on your data science and machine learning projects. Up to 5 students work in teams for 3-4 months on your project, supervised by experienced researchers from the LMU Munich’s Innovation Lab. In our experience, students are highly motivated to work on real projects, which resulted in many successful project completions to the satisfaction of our project partners.

We are concretely looking for projects that involve some application of methods in Machine Learning or Data Science, which provide interesting challenges to be solved by our students. We would highly welcome relatively concrete goals and projects, which can then be implemented by students.

If you want to learn more about past projects, they can be found for each semester here:

If you are interested, feel free to contact the Innolab coordinators. We will gladly help you to find out whether your project is suitable for the Innovation Lab and work out the right scope.