China-Italy Joint Laboratory on Advanced Manufacturing

About CI-LAM

Mission

The China-Italy Joint Laboratory on Advanced Manufacturing (CI-LAM) CI-LAM represents the main collaboration platform between China & Italy innovation ecosystems in the field of advanced manufacturing.

Partners

Founding partners of the CI-LAM are Tsinghua University, the University of Bergamo, the University of Naples – Federico II, Campania Newsteel and China Sci-Tech Automation Alliance. In 2020 SPICI srl and E-Cube have joined the CI-LAM as associated partners.

Welcome to CI-LAM

Activities

CI-LAM Summer School 2022

CI-LAM Summer School 2022

For the 2022 edition, the new event will be face-to-face and online. The fourth edition of the school will be organized with daily activities within the week of 18 July …

CI-LAM Summer School 2021

CI-LAM Summer School 2021

For the 2021 edition, the digitalized on-line form will be replicated. The School will be basically held twice a week and will last for four weeks starting from mid-July 2021. …

CI-LAM Summer School 2020

CI-LAM Summer School 2020

This educational program follows the first edition of theCI-LAM Summer School launched in 2019, held in Naples from 15th to 28th July, with the participation of 22 students from Tsinghua …

CI-LAM Innovation Webinars 2020

CI-LAM Innovation Webinars 2020

The innovation webinars are a series of eight webinars on topics addressed to professionals and managers related to advanced manufacturing technologies. This year we have selected eight topics to open, …

News

Launch of the 2021 Summer School of CI-LAM, the bilateral platform on advanced manufacturing between Italy and China

This year the Summer School is welcoming 59 students from about 20 Italian, Chinese, Norwegian and US universities andis focusing on the following topics: New Material for 3D Printing: Prototyping and Production; Digital Twins and its Industrial Applications; Energy Management for Energy Internet; IoT for 4.0 Industrial Revolutions; Smart Robotics; Open and Distributed Automation System, Novel Power Semiconductor Devices, Equipment and DC grids; Machine Learning in Advanced Manufacturing.

News