Martin Hanreich

Martin Hanreich is a researcher at the University of Applied Sciences Upper Austria, Hagenberg Campus, affiliated with the Research Center Hagenberg and AIST Center of Excellence Automotive/Mobility. His work focuses on Digital Transformation and ICT, with specialization in Thermography and Non-Destructive Testing.

Hanreich holds a Master of Science (M.Sc.) degree. His research spans Artificial Intelligence applications in industrial contexts, including Non-Destructive Testing methodologies, Process Mining for business optimization, and 3D reconstruction techniques. Key contributions integrate machine learning with edge computing for IoT devices and ontology-driven systems for e-commerce marketing.

His recent publications (2021-2025) demonstrate consistent application of AI to solve industrial challenges, particularly in non-destructive evaluation and digital transformation. Works emphasize practical implementations of machine learning on resource-constrained devices, process mining for marketing strategy optimization, and geometric reconstruction techniques for sensor-based applications.

No scientific awards were documented in the source material.

Hanreich actively participates in major research initiatives including FLARE (2025-2027) - developing human-centered AI for high-rate non-destructive evaluation funded by 'Förderungen für Digitalisierung in OÖ' - and an AI-driven knowledge database project for industrial plastics production (2024-2027) under COMET. These projects secure significant institutional funding for applied research.

He operates within the Research Center Hagenberg and AIST Center of Excellence Automotive/Mobility frameworks, contributing to innovation in thermographic inspection systems and digital transformation solutions for industrial partners.