Dr.-Ing. Christopher Krauß

Media & Data Science Lead at the Business Unit FAME

Working Areas

  • Recommender Systems & Adaptive Systems
  • Artificial Intelligence & Machine Learning
  • Predictive Data Mining & Pattern Recognition
  • Neural Networks & Deep Learning
  • Technology Enhanced Learning & Smart Learning
  • TV App Development & Hybrid Broadcast Broadband Television

Dr.-Ing. Christopher Krauss is Media & Data Science Lead at the business unit Future Applications and Media of the Fraunhofer Institute for Open Communication Systems (FOKUS). He specializes in the R&D of topics dealing with Machine Learning, Data Science, Technology Enhanced Learning, and Connected TVs and has been involved in multiple public founded national and international projects (e.g. Smart Learning I & II, Digi-Hand, FI-Content I & II, User Centric Networking, Global ITV) and managed many projects for different industry customers (e.g., Red Bull, Deutsche Welle, MediaBroadcast, ImmobilienScout24, Holtzbrinck Publishing Group, Cornelsen, Bertelsmann Arvato, Axel Springer, Rovi, and Deutsche Telekom).

Christopher Krauss received his Master of Science in Media Informatics (very good with distinction) at Beuth University of Applied Sciences and Fraunhofer FOKUS in 2012. From 2015 until 2017, he participated in the BMBF-funded Software Campus program which trains and professionally develops tomorrow’s senior IT executives. In June 2018, Christopher Krauss completed his PhD project (with distinction/ summa cum laude) at the TU Berlin with his dissertation “Time-Dependent Recommender Systems for the Prediction of Appropriate Learning Objects”.

Publications