The University of Pavia, founded in 1361, covers all subject areas, and is composed of 18 Departments (900 professors and researchers) offering study programmes at all levels, from Bachelor’s degrees to Doctorate programmes (24,000 students).

The University of Pavia is one of the world’s oldest academic institutions: it was founded in 1361 and until the 20th century it was the only university in the Milan area and the region of Lombardy. Today, 24,000 students, from both Italy and overseas, study at the University of Pavia, whose academic staff counts 900 professors and researchers. 87,5% of graduates find employment within a year of graduation against a national average of 77%. Master’s degrees in the areas of science, engineering, medicine and pharmacology have a 95% post-graduation employment rate. Pavia enjoys a strong tradition of international student and teacher exchanges: bilateral agreements involve, among others, the historical universities of Coimbra, and many universities in Europe, the Middle East, the Mediterranean area, the United States of America, China, Japan and many other countries. Pavia has been a city-campus since its foundation and even today it offers students a unique experience in Italy and rare in Europe: to study at one of 20 University colleges that are largely independent from the administrative structure of the University.

The Department of Electrical, Computer and Biomedical Engineering was instituted in 2013 from the fusion of three existing departments: Electronic Engineering, Electrical Engineering, and Computer & Systems Engineering. It provides research and teaching (3 Bachelor’s and 5 Master’s degrees) in the fields of Electrical, Electronic, Computer, Automation, Biomedical and Industrial Engineering. Its staff is composed by about 80 faculty members and one hundred PhDs/PostDocs.

University of Pavia was founded in 1361 and until the 20th century it was the only university in the Milan area and the region of Lombardy.

Role

UNIPV contributes mainly to WP4 where it participates to Objectives 4.1 and 4.5.

Objective 4.1: Swarm Intelligence

Within the objective, UNIPV participates to Tasks:

• 4.1.1 Fleet management
• 4.1.2 Smart Fleet Integration into Fab Automation Software
• 4.1.3 Horizontal robot integrationUNIPV is Task Leader of:
• 4.1.4 Modelling, analysis and verification of fleet control strategies

Objective 4.5: Energy Data Management

Within the objective, UNIPV participates to Tasks:

• 4.5.1 Definition of requirements and selection of use cases for energy consumption monitoring
• 4.5.3 Implementation of energy monitoring use cases within wafer frontend production
• 4.5.4 Overall demonstrator for Equipment Energy Efficiency and final business case

UNIPV contributes also to WP6: Dissemination, Exploitation and Standardization.

Key contribution

The UNIPV team brings into the project a consolidated skill set and expertise in fields related to Advanced Process Control for semiconductor manufacturing (e.g. fault diagnosis, predictive maintenance, virtual metrology, Data Mining and Machine Learning for yield enhancement). Moreover, UNIPV’s expertise covers other automation topics such as distributed control and optimization, constrained control, mobile robotics, vehicle control for traffic management, system identification and forecasting. This complements the expertise of industrial partners on specific application aspects as well as the expertise of other academic partners in the areas of task planning and energy/resource monitoring and management. In particular, UNIPV has also strong methodological competencies in the areas of consensus algorithms, hybrid systems and machine learning, usable for the control and coordination of multiple agents. As such, it can support other partners with the design, analysis and verification of innovative algorithms that will be developed within the consortium. Furthermore, it brings expertise in the analysis, modelling and forecasting of time series of power consumption.