DIGI&MET Partnership


Partnership |

DIGI&MET Laboratory at University of Udine

Located at the University of Udine Lab Village, is the first private laboratory set up in a university with the purpose of improving the relationship by sharing metals industry market and technical requirements.

The laboratory is a multi-disciplinary research center that operates in the field of process control, artificial intelligence, advanced automation, robotics and power electronics. It relies on the continuous presence of highly-specialized company R&D personnel to assist professors, researchers, doctoral candidates and students. Moreover, it introduces a new operating tool, the applications, meant to formulate an entire problem or a part of it, whose solution is beneficial to the metals manufacturing process.

Here below you can find an excerpt of possible applications:


  • Computational metallurgy applications, both online and offline, with particular focus on microstructure prediction models.
  • Optimization of consumption and environmental sustainability.
  • Sensors for contactless in-line identification of intermediate/finished products.
  • Sensors for in-line evaluation of size-related defects.
  • Sensors and techniques for powder detection in moulds.


  • Data-driven algorithms for in-line quality and sustainability assessment.
  • Raw material automatic identification and classification.
  • Prediction of unwanted process events, such as cobbles and breakouts.
  • Applications of IIOT and big data technologies in support of data-driven models.
  • Search algorithms for distributed and undistributed process data.
  • Study and application of efficient compression algorithms.


  • Advanced plant management systems with Augmented Reality and Alert Detection techniques.
  • Shape control systems in rolling mills for long products.
  • Advanced control of hydraulic actuators.
  • Spatial alignment algorithms for data coming from laser scanners.
  • Cybersecurity enhancements in IT/OT fields.


  • Human-robot workspace sharing.
  • Application of obstacle-avoidance algorithms and trajectory replanning for robots operating in dynamic unstructured environments.
  • Systems for automatic sampling for quality inspections.
  • Drone applications.


  • Development of digital control techniques for modulators, for rotating and non-rotating loads.
  • Management and balancing of power grids, with integration of renewable energy sources.
  • Design and programming of control boards based on DSP, FPGA and SoC.

For any information do not hesitate to contact us! Please write to [email protected]