Gerald Adam Zwettler

Gerald Adam Zwettler is a researcher at the University of Applied Sciences Upper Austria (FH Hagenberg) with a focus on digital transformation in Information and Communication Technology (ICT). His work spans machine learning applications in non-destructive testing, human-robot interaction, and sensor data classification.

• Active in projects like FLARE (Human-Centered AI for NDT), MARIE (Mobile Robotic Assistance), and MOVE (Orthosis Modeling)
• Collaborates internationally on railway infrastructure analysis and medical imaging

Research interests include deep learning, medical image processing, IoT sensor analysis, and AI-driven customization of orthopedic devices. Recent work explores edge computing for low-energy IoT systems and multimodal interaction frameworks for office robots.

Publications emphasize applied AI in technical domains, with methodological contributions to presegmentation techniques, Levenshtein distance optimization, and human-centered robotics. Project roles include principal investigator in knowledge databases for industrial plastic manufacturing.