About
Gernot Mayr is a Researcher at the University of Applied Sciences Wels, affiliated with the Thermography and Non Destructive Testing Center of Excellence, Automotive/Mobility Center of Excellence, and Energy Focal area Materials. He specializes in non-destructive testing methods with a focus on thermography applications for composite materials and structural analysis, serving as Principal Investigator on multiple research projects including the FLARE initiative (2025-2027) for AI-enhanced non-destructive evaluation.
Dr. Mayr's research expertise centers on Thermography and Non-Destructive Testing techniques, particularly Photothermal Imaging and Pulsed Thermography for defect detection in composite materials. His work demonstrates significant contributions to the Virtual Wave Concept, which has advanced the precision of subsurface interface characterization in layered materials. His research spans applications in automotive, energy, and mobility sectors where material integrity assessment is critical.
Analysis of Dr. Mayr's recent publications (2023-2025) reveals a strong focus on advanced thermographic methods for non-destructive evaluation. His work demonstrates expertise in applying the virtual wave concept to improve defect reconstruction and thermal parameter estimation in complex composite structures. Key research themes include photothermal imaging of foreign object defects in curved components, one-dimensional photothermal characterization techniques, and innovative approaches to thermal parameter determination using data assimilation methods.
Dr. Mayr has successfully led multiple research projects including the FLARE project (2025-2027) on AI for non-destructive evaluation, the JR-Centre for Thermal NDE of Composites (2018-2022), and the BF-Energie aus Abwärme project (2016-2018) on thermoelectric energy harvesting. His collaborative work spans across academic and industry partners in the materials science and engineering fields, with documented presentations at international conferences from 2021-2024 on topics including polymerization monitoring and thermal diffusivity estimation.
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