Johannes Jakubik, M.Sc.

Johannes Jakubik, M.Sc.

  • Kaiserstraße 89
    76133 Karlsruhe


Johannes is a Research Associate at the Applied AI Lab within the Institute of Information Systems and Marketing (IISM) and the Karlsruhe Service Research Institute (KSRI). His interests include:

  •  Applied Machine Learning & Deep Learning
  •  Prescriptive Analytics
  •  Mathematical Optimization
  •  Algorithmic Decision Making
  •  Human-Centered Artificial Intelligence

Please feel free to reach out if you are interested in writing a bachelor or master thesis on one of these topics.

Curriculum Vitae

Johannes graduated from the Karlsruhe Institute of Technology (KIT) with a bachelor’s and a master’s degree in Industrial Engineering and Management. During his master’s degree, he studied Information Systems and Computer Engineering at the Instituto Superior Técnico (Lisbon, Portugal) and authored his thesis at ETH Zurich (Switzerland) at the Chair of Management Information Systems. Throughout his master studies, Johannes worked on real-world implementations of machine learning (e.g., image classification, speech recognition, named entity recognition) during internships at Porsche Motorsport, d-fine and EnBW AG. Johannes is an Affiliated Research Member at the Chair of Management Information Systems at ETH Zurich, where he researches the machine-learning-based detection of non-credible information in social media.


Journal Articles
Directed particle swarm optimization with Gaussian-process-based function forecasting.
Jakubik, J.; Binding, A.; Feuerriegel, S.
2021. European journal of operational research. doi:10.1016/j.ejor.2021.02.053
Journal Articles
Reinforcement learning for opportunistic maintenance optimization.
Kuhnle, A.; Jakubik, J.; Lanza, G.
2019. Production Engineering, 13 (1), 33–41. doi:10.1007/s11740-018-0855-7