Florian Bachinger

Florian Bachinger is a researcher at the Research Center Hagenberg, University of Applied Sciences Upper Austria, affiliated with the Center of Excellence for Smart Production Digital Transformation and HEAL research group. His work focuses on bridging machine learning with industrial applications, particularly in smart manufacturing contexts.

• Active researcher with h-index of 26
• Involved in the Josef Ressel Center for Symbolic Regression project (2018-2022)
• Regular participant in international conferences including EUROCAST and Industry 4.0 events

His research interests center on Machine Learning systems for industrial applications, with specializations in symbolic regression, constraint evaluation methods, and composable evolutionary computation. His work addresses practical challenges in implementing AI solutions within manufacturing environments, focusing on domain knowledge integration and constraint handling.

Analysis of his recent publications reveals a strong trend toward developing practical machine learning frameworks that incorporate physical constraints and domain knowledge for industrial settings. His 2024-2025 work shows increasing focus on modular, composable systems that can be adapted to specific manufacturing contexts while maintaining scientific rigor.

Florian actively collaborates with researchers including Haider, Zenisek, and Affenzeller across multiple projects focused on smart production systems. His work demonstrates strong industry-academia connections through applied research in manufacturing contexts.