Gerald Koinig
Papers
1
Total Citations
17
H-Index
1
About
Gerald Koinig is a leading researcher in waste management and recycling technologies, with a primary focus on advancing sensor-based and robotic sorting systems to meet European Union recycling targets. His work centers on assessing and improving the technological maturity of data analytics in waste sorting plants, particularly for complex material streams like packaging waste—including glass and plastics—and building materials. Koinig’s most cited paper, “Assessment of Technological Developments in Data Analytics for Sensor-Based and Robot Sorting Plants Based on Maturity Levels to Improve Austrian Waste Sorting Plants” (2021, 17 citations), provides a critical framework for evaluating how data-driven innovations can enhance sorting efficiency and accuracy. This contribution is pivotal for optimizing the extended value chain of recyclable products, directly supporting the EU’s ambitious recycling goals. By bridging the gap between cutting-edge analytics and practical plant operations, Koinig has established himself as a key figure in sustainable waste management, offering actionable insights for researchers and industry professionals alike. His work underscores the transformative potential of integrating AI and robotics into circular economy practices.
Research Focus
Key Achievements
Top Papers
- 1