Gesina Schwalbe
Scholar

Gesina Schwalbe

Google Scholar ID: 3JOfQhgAAAAJ
Postdoc, University of Lübeck
Explainable Artificial IntelligenceFunctional SafetyVerification of DNNs
Citations & Impact
All-time
Citations
819
 
H-index
11
 
i10-index
13
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Background
  • Researcher in the field of responsible and trustworthy artificial intelligence (AI)
  • Main research interests focus on integrating symbolic (human-interpretable) knowledge with deep neural networks (DNNs)
  • Explores how to extract, verify, integrate, and correct such knowledge in DNNs
  • Prefers explainable AI methods, particularly concept embedding analysis, to translate information in DNN structures and latent spaces into human-understandable and controllable forms
  • Primary application domains include safe and trustworthy perception modules for automated driving and robotics, planning tasks, and generative AI-based human-machine interfaces