CI-LAM
China-Italy Laboratory on Advanced Manufacturing|China-Italy Laboratory on Advanced Manufacturing|China-Italy Laboratory on Advanced Manufacturing
The main collaboration platform between China & Italy innovation ecosystems in the field of advanced manufacturing
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.
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.
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 …
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. …
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 …
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, …
The fifth edition of the Summer School was launched.
The selection call is now open for students who want to participate in the 5th edition of the Summer School of the Italo 🇮🇹-Chinese 🇨🇳 Project, the result of the academic collaboration between the University of Naples Federico II , the University of Bergamo and Tsinghua University (Beijing) focused on the topics of Advanced Manufacturing.
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.
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