PhD Theses

  • Andrei Popescu. Machine Learning and Parallelization for Scalable Constraint Solving, since 2020.
  • Viet-Man Le. Intelligent Techniques for Efficient Diagnostic Reasoning, since 2020.
  • Mathias Uta. Machine Learning for Personalized Configuration and Reconfiguration, since 2018.
  • Ralph Samer. Recommendation and Decision Technologies for Social Requirements Engineering, completed in 2021.
  • Seda Polat Erdeniz. Recommendation & Configuration Technologies for the Internet of Things (IoT), completed in 2019.
  • Amal Shehadeh. Gamification-based E-Learning Environments, since 2016.
  • Thi Ngoc Trang Tran. Recommendation and Decision Support Techniques for Groups, completed in 2019.
  • Müslüm Atas. Group Decision Technologies for Complex Products and Services, completed in 2020.
  • Christoph Uran. Intelligent Configuration and Recommendation Technologies for IoT Environments, since 2016.
  • Martin Stettinger. Intelligent Technologies for Group Decision Making, completed in 2017.
  • Stefan Reiterer. Personalization Technologies for Intelligent Systems Development, completed in 2016.
  • Gerald Ninaus. Recommendation Technologies for Requirements Engineering, completed in 2016.
  • Florian Reinfrank. Intelligent Techniques for Configuration Knowledge Base Development and Maintenance, completed in 2016.
  • Monika Mandl. Consumer Decision Modeling in Interactive Configuration, completed in 2012.
  • Monika Schubert. Consistency Management in Constraint-based Systems, completed in 2011.
  • Erich Teppan. Psychological Aspects in the Development of Knowledge-based Recommender Applications, completed in 2010.