Roman Hörbe

Roman Hörbe serves as a Lecturer and Researcher at the Institute of Industrial Engineering and Management within the Faculty of Engineering at the University of Applied Sciences Wiener Neustadt (FHWN). His work focuses on integrating artificial intelligence into manufacturing processes and production systems.

His primary research interests include AI applications in production planning and control, advanced quality inspection systems using machine learning, data analytics for small and medium enterprises, and circular economy principles in product design. His work bridges theoretical research with practical industrial applications through numerous collaborative projects with manufacturing companies.

Roman's research demonstrates a strong trend toward practical AI implementation in manufacturing environments, with emphasis on Convolutional Neural Networks for quality inspection, data management systems for learning factories, and production planning optimization. His publications show increasing focus on real-world applications of machine learning in high-variability production environments.

Roman actively participates in multiple funded research projects including IntelliProPS (2023-2026), DigiLean (2024-2025), ProcessIQ (2023-2024), and CircularPro (2022-2023), all focusing on AI integration in manufacturing processes. These projects are primarily funded through FFG's COIN construction FH for the economy program and Innovation Camps program.

He contributes to research teams focused on DigiLean workshops with food industry companies, ProcessIQ for automated defect detection in special machine manufacturing, IntelliProPS for AI-enhanced production planning concepts, and CircularPro for developing continuing education on circular design principles for SMEs.