Patrick Weinberger

Patrick Weinberger is a Researcher at the University of Applied Sciences Upper Austria, affiliated with the School of Engineering and the Focal Area ICT - Information & Communications Technology. He leads and collaborates on multiple research initiatives including the VISION project on AI-driven non-destructive testing and HyperMAT for hyperspectral material characterization.

His research focuses on advancing X-ray computed tomography analysis through deep learning and augmented reality visualization. Key areas include U-Net architectures for industrial inspection, explainable AI in non-destructive testing, and immersive material analysis systems. His work bridges computer vision with practical industrial applications in aerospace and automotive sectors.

Weinberger actively contributes to 4 major research projects including VISION (2025-2028) developing AI systems for non-destructive testing, PEMOWE for energy transition testing networks, HyperMAT for hyperspectral material characterization, and WIFI for future welding industry systems. He operates within the Assistive Technology Lab and Center of Excellence Automotive/Mobility at the Wels campus.

Research Output Highlights:

• 13 total publications (5 articles, 3 conference papers, 2 contributions)
• Key innovations in U-Net interpretability and AR-based CT visualization
• Strong focus on industrial AI transfer to manufacturing

Technical Collaborations:

• Primary collaborator with Senck, Kastner, and Fröhler
• Network spans 6 similar research profiles in deep learning and CT analysis
• Active in EU Interreg Bavaria-Austria programs