Artificial Intelligence for industrial process monitoring - 2026_IDR_DEIB_28
Scientific-Disciplinary Group
09/IINF-05 - Information Processing Systems
Description
The research program focuses on the development of advanced methodologies for data acquisition, integration, and analysis in the context of industrial process monitoring. The aim is to investigate techniques capable of handling multimodal data from heterogeneous sensors (e.g., 2D and 3D imagery), with the goal of identifying anomalous patterns. The objective is to support applications such as real-time monitoring of production processes and early detection of anomalies and faults. By leveraging contextual and multimodal information, the proposed approaches aim to increase accuracy and robustness in data analysis, improve the quality of predictions, and support more efficient intervention strategies.
Job posting website
Number of positions
1
Funding body
Politecnico di Milano
Selection process
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View the original posting on the MUR website: Go to MUR website