I have participated in and contributed to several European and national research projects. Below, I provide an overview of the research projects in which I have been involved and working on.
I have participated in and contributed to several European and national research projects. Below, I provide an overview of the research projects in which I have been involved and working on.
I am serving as PI and project lead of an FWF international project entitled “HUMAX - Human Factors-Enhanced Explanations in Recommender Systems”. The project was submitted under the WEAVE call, which is currently under review.
Member of the OpenSpace project, contributing to the development of novel methods for the automated analysis of software variability models and the generation of corresponding test cases, as well as machine learning–based techniques for identifying faulty software components and suboptimal parameter configurations that may lead to inefficiencies or erroneous system behavior.
Member of the GenRE project, contributing to the analysis of how Large Language Models can significantly improve requirements engineering tasks such as requirements definition, quality assurance, reuse, and prioritization.
Member of the ParXCel project, dedicated to developing machine learning techniques to enhance constraint solving performance and prediction quality, alongside parallelized approaches for efficient analysis operations.
Member of the WeWant project, funded by the Austrian Research Promotion Agency, focusing on configuration technologies and decision-making support for user groups.