Heinz Hofbauer

Heinz Hofbauer is a Senior Scientist at the University of Salzburg specializing in Artificial Intelligence and Human Interfaces, with research concentrated in computer vision, biometrics, and multimedia forensics. His work focuses on face detection systems, anti-spoofing for biometric security, and image/video encryption techniques, demonstrated through extensive publication and project leadership.

His research spans computer vision, biometrics, artificial intelligence, and image processing, with notable contributions to cultural heritage analysis (e.g., face detection in the Wenceslas Bible), biometric sensor forensics, and visual security assessment. Recent work increasingly addresses cross-disciplinary applications in biomedical imaging and material science.

Analysis of his 2023-2025 publications reveals three dominant trajectories: (1) AI-driven cultural heritage preservation through manuscript analysis, (2) biomedical image processing for single-cell segmentation, and (3) practical security/quality assessment for smartphone-based material classification and video encryption systems.

Hofbauer has secured funding for six major research projects including:

• IDENTITY: Computer Vision Enabled Multimedia Forensics (2016-2019)
• Biometric Sensor Forensics (2014-2018)
• Visual Security Metrics for Image/Video Encryption (2015-2018)
• Traceability of Roundwood via Digital Imaging (2012-2017)
• Anti-Spoofing Software Evaluation for Facial Recognition (2018)
• Unspecified 2011 research project

He actively participates in the academic community through peer review for the Journal of Visual Communication and Image Representation and conference presentations at IEEE ICIP, while collaborating closely with Andreas Uhl's research group on biometric security applications.