Gábor Princz

Gábor Princz is a Lecturer and Researcher at the Institute of Industrial Engineering and Management at the University of Applied Sciences Wiener Neustadt. He holds a B.Eng. (2018) and M.Eng. (2020) in Naval Architecture from Kiel University of Applied Sciences, and is currently pursuing a Dr.techn. at TU Vienna starting July 2024.

His research focuses on industrial applications of advanced technologies including:

• Condition monitoring and predictive maintenance systems
• Machine learning for manufacturing optimization
• Industrial automation using computer vision
• AI-driven production planning and control
• Data analytics for SME manufacturing

His recent publications demonstrate strong focus on applying convolutional neural networks and unsupervised learning techniques to solve industrial challenges like quality inspection, anomaly detection, and production line optimization, particularly for small-to-medium enterprises.

Research Projects:

• IntelliProPS (2023-2026): Developing AI-enhanced planning systems for volatile production environments
• DigiProTrain (2023-2025): Creating Industry 4.0 training programs using learning factories
• Care about Care (2021-2023): Remote assistance technology for long-term care applications