Despina Kopanaki
Papers
1
Total Citations
4
H-Index
1
About
Despina Kopanaki is a leading researcher at the intersection of big data analytics and advanced manufacturing, with a focus on transforming raw industrial data into actionable intelligence. Her work addresses the critical challenge of managing unstructured, noisy, and incomplete data generated by complex production lines, where robots and digital tools produce massive datasets. In her highly cited 2022 study, "Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case," she provides a practical framework for collecting, aggregating, and pre-processing this data into a unified, structured format. This case study, which has garnered 4 citations, offers invaluable guidelines for industry practitioners seeking to implement data-driven decision-making in manufacturing environments. Kopanaki’s contributions are particularly notable for bridging the gap between theoretical data science and real-world industrial applications, helping to optimize production efficiency and reduce operational costs. Her work is essential reading for researchers and engineers aiming to harness the power of big data in smart manufacturing, and it stands as a testament to her role in advancing Industry 4.0 practices.
Research Focus
Key Achievements
Top Papers
- 1