Siyuan Chen
Siyuan holds a background in both computer science and industrial engineering. His research centers on the utilization of artificial intelligence-enhanced digital twins to facilitate smart maintenance practices. Siyuan's work aims to develop an integrated manufacturing analytical platform designed to empower decision-making for industrial workers. His research interests encompass reinforcement learning, deep learning, and digital twin technologies.
![Siyuan Chen from chalmers.se Image of Siyuan Chen](https://chalmers.se/_next/image/?url=https%3A%2F%2Fcms.www.chalmers.se%2FMedia%2Fsewozfii%2Fsiyuanc.jpg%3Fwidth%3D600%26height%3D600%26v%3D1d96fd7ce081bf0%26quality%3D60%26format%3Dwebp&w=640&q=90)
Showing 2 publications
Understanding Stakeholder Requirements for Digital Twins In Manufacturing Maintenance
Download publication list
You can download this list to your computer.
Filter and download publication list
As logged in user (Chalmers employee) you find more export functions in MyResearch.
You may also import these directly to Zotero or Mendeley by using a browser plugin. These are found herer:
Zotero Connector
Mendeley Web Importer
The service SwePub offers export of contents from Research in other formats, such as Harvard and Oxford in .RIS, BibTex and RefWorks format.
Showing 1 research projects
Integrated Manufacturing Analytics Platform för Prediktivt Underhåll med Iot.