HUMAX — Human Factors-Enhanced Explanations in Recommender Systems. Principal Investigator. Develops methods to incorporate human factors into explanations within recommender systems. (FWF WEAVE call, under review.)
GenRE — Generative AI for Requirements Engineering. Team member. Investigates how Large Language Models can improve requirements engineering tasks including definition, quality assurance, reuse, and prioritization.
OpenSpace — AI Techniques for Testing Highly-Variant Software. Team member. Automated analysis of software variability models and generation of test cases, plus machine learning approaches for identifying faulty software components and suboptimal configurations.
ParXCel — Machine Learning and Parallelization for Scalable Constraint Solving. Team member. Machine learning techniques for constraint solving performance and prediction quality, with parallelized analysis operations.
WeWant — Configuration Technologies for Group Decision Support. Team member. Focuses on configuration technologies and decision-making support for user groups. (Austrian Research Promotion Agency.)