Jakob Eder

Jakob Eder is a research staff member at the University of Applied Sciences Wiener Neustadt in Austria, actively contributing to the intersection of artificial intelligence and manufacturing systems.

His primary research interests include:

• Artificial Intelligence applications in manufacturing
• Machine Learning for production planning and control
• Human-Machine collaboration systems
• Adaptive control systems for variable production environments
• Industry 4.0 technologies implementation

Eder is currently leading research efforts in the IntelliProPS project, which addresses critical challenges in modern manufacturing where production environments face high volatility in product variants, order quantities, and material quality. His work focuses on developing hybrid approaches that combine traditional planning methods with cutting-edge AI techniques to create more responsive and efficient production systems.

The research has significant practical implications for manufacturers seeking to implement more flexible production systems that can adapt to changing market conditions while maintaining quality and efficiency standards. The project's output includes both theoretical advancements in planning algorithms and practical tools for industry implementation.

His research is supported by the Austrian Research Promotion Agency (FFG) through the COIN Aufbau FH für die Wirtschaft program, highlighting the relevance of his work to Austria's industrial sector and research landscape.

Eder maintains an active research profile with a focus on bridging the gap between academic research and industrial application, particularly in the domain of smart manufacturing systems where AI can provide tangible benefits to production efficiency and flexibility.