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Humboldt-Universität zu Berlin - Wirtschaftswissenschaftliche Fakultät

Johannes Haupt


Telephone: +49 30 2093-99543

Email: johannes.haupt[at]hu-berlin.de

Office hours: Thursday, 10-12

Room: SPA1, 335



Johannes Haupt holds a M.Sc degree in Economics from Humboldt University in Berlin. His master thesis was the implementation of a machine learning framework to detect tracking images in e-mails. In the course of his PhD, he develops machine learning applications in marketing. This includes predictive modeling in the business context by investigating the cost of foregoing data collection for the sake of privacy and profit-guided model training. He is currently working on models for product recommendation in the form of latent dirichlet allocation and recurrent neural networks. Johannes has been a research assistant at the chair of information systems since April 2016.


Research Interests

  • Bayesian modeling 

  • Deep learning

  • Recommender systems

  • Profit-sensitive learning

  • Text analytics



Social Media



Other Interests



  • Haupt, Johannes, Bender, Benedict, Fabian, Benjamin & Lessmann, Stefan. (2018). Robust identification of email tracking: a machine learning approach. European Journal of Operational Research, 271(1), 341-356.
  • Baumann, Annika, Haupt, Johannes, Gebert, Fabian & Lessmann, Stefan. (2018). The Price of Privacy: An Evaluation of the Economic Value of Collecting Clickstream Data. Business & Information Systems Engineering. 10.1007/s12599-018-0528-2. 
  • Lessmann, Stefan, Coussement, Kristof, W. De Bock, Koen & Haupt, Johannes. (2018). Targeting Customers for Profit: An Ensemble Learning Framework to Support Marketing Decision Making. SSRN Electronic Journal. 10.2139/ssrn.3130661. 
  • Gubela, Robin, Lessmann, Stefan, Haupt, Johannes, Baumann, Annika, Radmer, Tillmann & Gebert, Fabian. (2017). Revenue Uplift Modeling. Proceedings of the thirty-eighth International Conference on Information Systems ICIS 2017
  • Baumann, Annika, Haupt, Johannes, Gebert, Fabian & Lessmann, Stefan. (2017). Changing Perspectives: Using Graph Metrics to Predict Purchase Probabilities. Expert Systems with Applications. 94. 10.1016/j.eswa.2017.10.046. 
  • Bender, Benedict, Fabian, Benjamin, Lessmann, Stefan & Haupt, Johannes. (2016). E-Mail Tracking: Status Quo and Novel Countermeasures. Proceedings of the thirty-seventh International Conference on Information Systems, ICIS 2016




  •  Strategie, Organisation und IT (Summer term 18)
  •  Bachelorseminar Wirtschaftsinformatik (Summer term 18, 19)



  • Business Analytics and Data Science Exercise (Winter term 1617, 1718, 1819)
  • Advanced Data Analytics for Management Support (Summer term 19)
  • Digital Marketing and Web Analytics Exercise (Summer term 17)
  • Applied Predictive Analysis (Summer term 16, 17, 18)
  • Causal Machine Learning (Applied Predictive Analytics) (Summer term 19)
  • Information Systems (Winter term 1617, 1718, 1819)