Fabio Hellmann

Fabio Hellmann is a Ph.D. candidate and Researcher at the Chair for Human-Centered Artificial Intelligence under Prof. Dr. Elisabeth André at the University of Augsburg. Holding an M.Sc., he focuses on biomedical image/signal processing, deep learning, and explainable AI, with affiliations to the Faculty of Applied Computer Science and Institute of Computer Science.

Research Interests:

• Biomedical Computer Vision
• Deep Learning Applications
• Human-Computer Interaction
• Explainable AI
• Medical Image Analysis
• Facial Phenotyping for Genetic Disorders

Publications highlight trends in AI-driven medical imaging (e.g., GANonymization, GestaltGAN), food viscosity analysis via sound, and rare disease diagnostics. He reviews for journals like IEEE Transactions on Dependable and Secure Computing and contributes to projects such as FORSocialRobots and Dynalearn.