Michael Felderer

Universität Innsbruck, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Papers

Total Citations

H-Index

About

Michael Felderer is a leading researcher at the intersection of software engineering, artificial intelligence, and safety-critical systems. His work centers on three key areas: risk-driven testing for ML-enabled systems, AI and robotics education, and test case diversity analysis. Felderer’s major contributions include pioneering the *Software Testing, AI and Robotics (STAIR) Learning Lab*, an initiative launched at the University of Innsbruck that brings physical and virtual learning units into schools to foster early engagement with robotics, AI, and software testing. In the domain of safety-critical systems, he has advanced risk-driven online testing and metaheuristic search-based approaches to ensure robust assurances for ML-enabled systems operating in high-stakes environments. His research on test case diversity analysis helps improve the reliability of autonomous and AI-driven systems. With papers accumulating citations in the hundreds, Felderer’s work is shaping how we test and trust intelligent, autonomous technologies. His STAIR lab, in particular, stands out as a notable achievement for bridging cutting-edge research with public education, inspiring the next generation of engineers and scientists.