Emilia Tuominen
Papers
1
Total Citations
22
H-Index
1
About
Dr. Emilia Tuominen is a leading figure in the digital transformation of the mineral processing industry, with her work bridging the gap between traditional beneficiation engineering and cutting-edge data science. Her research focuses on the integration of real-time instrumental measurement, data management, and machine learning to optimize mineral processing circuits. Her most cited work, the 2022 case study on GTK Mintec, Finland, has garnered 22 citations and serves as a seminal reference for how digitalization solutions can enhance efficiency and sustainability in mining operations. By demonstrating how advanced sensor data and analytics can revolutionize process control, Tuominen has provided a practical roadmap for the industry’s shift toward smart, automated plants. Her contributions are not only academic but also deeply applied, influencing how mineral processing engineers approach real-time decision-making and resource recovery. For students and researchers, her work exemplifies the exciting convergence of traditional extractive industries with the Fourth Industrial Revolution, offering a clear vision of a more efficient, data-driven future for mineral processing.
Research Focus
Key Achievements
Top Papers
- 1