PhD Theses

• Damian Garber. Intelligent Techniques for Configuration Space Learning, since 2023.
• Sebastian Lubos. Recommendation Technologies with Large Language Models, since 2021.
• 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.
• 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.
• 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.