Gerald Zauner

Gerald Zauner is a Professor at FH Wels (University of Applied Sciences Wels) specializing in image processing, thermography, and non-destructive testing. His research primarily focuses on railway infrastructure, computer vision, and artificial intelligence applications in engineering contexts.

His research interests include:

• Image Processing and Computer Vision for industrial applications
• Thermography and Non-Destructive Testing techniques
• Railway infrastructure monitoring and maintenance systems
• Artificial Intelligence applications in engineering
• Heat treatment processes and energy harvesting

Professor Zauner's recent research has focused on developing AI-powered systems for railway infrastructure analysis, including automatic object detection in radargrams, high-speed rolling mark detection, and track maintenance technologies. His work bridges the gap between theoretical computer vision techniques and practical engineering applications, particularly in the railway sector.

He has been involved in several significant research projects:

• FLARE - Fast and reliable human-centered-AI for high-rate non-destructive evaluation (2025-2027) as Co-Investigator
• BF-Energie aus Abwärme - Energy Harvesting with Thermoelectricity (2016-2018) as Principal Investigator
• BiKoPla (Biozide Kunststoffoberflächen mittels Plasmaabscheidung) (2013-2017) as Principal Investigator

Professor Zauner has made significant contributions to the field with over 100 research outputs, including patents, journal articles, and conference papers. His work has been cited over 300 times, demonstrating its impact in the engineering and computer vision communities.