If you made any changes in Pure these will be visible here soon.

Personal profile

Contact Details

Email: c.liu16@aston.ac.uk

Phone: +44 755 122 3073


Dr Chao Liu is a Lecturer in Digital Manufacturing at Aston University. He received his Ph.D. in Mechanical Engineering at the University of Auckland, New Zealand, in 2018. Before joining Aston University, Dr. Liu has worked as a Research Assistant Professor in the Department of Industrial and Systems Engineering at The Hong Kong Polytechnic University. He has also worked on a Horizon2020 project as a Research Associate (Postdoc) in the School of Engineering at Cardiff University, UK.

Dr Liu’s research focuses on both theoretical development and practical applications of various Smart Manufacturing technologies. His research interests cover a wide range of topics in Smart Manufacturing, including Digital Twin, Cyber-Physical Production Systems, Industrial Internet of Things, Machine Tools and Machining Processes, Machine Learning, Big Data Analytics, Augmented Reality, etc.

Dr Liu has published more than 30 articles in High Impact Factor International Journals and International Conference Proceedings. He serves as Managing Guest Editor for Robotics and Computer-Integrated Manufacturing and Guest Editor for Shock and Vibration. He serves as a reviewer for multiple high impact international journals including Journal of Manufacturing Systems, Robotics and Computer-Integrated Manufacturing, International Journal of Production Research, Journal of Intelligent Manufacturing, Advanced Engineering Informatics, etc. He has also organised and chaired multiple sessions in different international conferences.

Research Interests

  • Smart Manufacturing, Digital Manufacturing, Industry 4.0
  • Digital Twin, Cyber-Physical Production Systems
  • Industrial Internet of Things
  • Machine Tools and Machining Processes
  • Machine Learning & Big Data Analytics
  • Augmented Reality
  • Metal Additive Manufacturing
  • Ultra-Precision Machining Technologies


  • Best Paper Award – Robotics and Computer Integrated Manufacturing, 2021. Yuqian Lu, Chao Liu, Kevin Kai Wang, Huiyue Huang, and Xun Xu. "Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues." Robotics and Computer-Integrated Manufacturing 61 (2020): 101837.
  • Overall Winner – 2017 NAMRI/SME Student Research Presentation Award, 45th SME North American Manufacturing Research Conference (NAMRC 45), Los Angeles, USA, 06/2017.
  • Erasmus+ Grant3 months PhD research visit at Technical University of Kosice, Slovakia. 02/2018 – 05/2018.

Professional/editorial offices

  • Member, SME (2020 - )
  • Managing Guest Editor, Special Issue on “Digitalization and servitization of machine tools in the era of Industry 4.0”, Robotics and Computer-Integrated Manufacturing (12/2021 - )
  • Guest Editor, Special Issue on “Intelligent Diagnosis Methods for Initial Faults in Rotor-Bearing Systems”, Shock and Vibration (11.2020)
  • Organising Committee member, 48th International conference on Computers & Industrial Engineering (CIE 48), Auckland, New Zealand (12.2018)
  • Session co-organiser & chair, Special Session on “Digital Twin: Theories, challenges, methodologies and applications”, 48th International conference on Computers & Industrial Engineering (CIE 48) (12.2018)

Education/Academic qualification

PhD, University of Auckland


MSc, Northeastern University China


BSc, Northeastern University China


External positions

Research Assistant Professor, Hong Kong Polytechnic University

Aug 2020Dec 2021

Postdoctoral Research Associate, Cardiff University

May 2019Aug 2020


  • TJ Mechanical engineering and machinery
  • Smart Manufacturing
  • Digital Manufacturing
  • Industry 4.0
  • Digital Twin
  • Machine Tools
  • Machine learning
  • Internet of Things
  • Cyber-Physical Production System
  • Augmented Reality
  • Metal Additive Manufacturing
  • Ultra Precision Machining


Dive into the research topics where Chao Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles


Recent external collaboration on country/territory level. Dive into details by clicking on the dots or