Markus Höglinger-Rauscher

Markus Höglinger-Rauscher is a researcher at the University of Applied Sciences Upper Austria, active in the Center of Excellence Automotive/Mobility and Center of Excellence Medical Engineering/TIMed Center. His work focuses on advanced material characterization techniques and computational methods.

• Affiliations: Research Center Wels, Smart Production Computed Tomography focal area

Research Interests: His primary fields include Computed Tomography, Machine Learning, and Non-destructive Testing with applications in Carbon Fiber Reinforced Polymers and Thermoelectric Modules. He specializes in industrial X-ray imaging, neural network-based segmentation, and multi-modal material analysis.

Recent Publications: In 2024, he published two conference posters on thermoelectric module inspection using infrared thermography and acoustic microscopy. In 2023, he contributed to a journal article on U-Net neural networks for pore segmentation in composites, leveraging X-ray CT data.

Projects: He is a co-investigator in the HyperMAT project (2023-2028) for hyperspectral material characterization and the TC-HiResFoot project (2022-2025) applying high-resolution imaging to diabetic foot complications. His collaborations span institutions in Upper Austria, focusing on advanced procedures and aerospace applications.