Dr. Zheng Xiaochen serves as an Assistant Professor at Southern University of Science and Technology, School of System Design and Intelligent Manufacturing. He obtained his PhD degree from Polytechnic University of Madrid (Spain) in 2019. In 2018 spring semester, he joined in the Centre for Business Data Analytics (cbsBDA) , Copenhagen Business School as a visiting scholar. From 2019 to 2022, he was a Postdoc Scientist at Swiss Federal Institute of Technology Lausanne (EPFL) in the ICT for Sustainable Manufacturing (ICT4SM) group. His research interests include Intelligent manufacturing, Digital Twin and Cognitive Digital Twin, Model Based Systems Engineering (MBSE), Semantic modelling and Ontology Engineering. He has published more than 40 research papers including more than 20 SCI journal papers. He has participated several flagship EU H2020 research projects in manufacturing domain including QU4LITY (H2020 825030), lBOOST 4.0 (EU H2020 780732), Z-BRE4K (H2020 768869), OntoCommons (H2020 958371), among others. He served as the Chair of Product Service System working group (IOF-PSS-WG) in the Industrial Ontologies Foundry (IOF), and member of Systems Engineering (IOF-SE-WG) and Zero Defect Manufacturing (ZDM-WG) working groups. He is also an active member of the European Committee for Electrotechnical Standardization (CEN-CENELEC/WS ZDMTerm).

Education Background

2013.9-2019.5, Polytechnic University of Madrid (Spain), PhD (“CUM LAUDE”)

2018.3-2018.6，Copenhagen Business School (Denmark)，Centre for Business Data Analytics)，Visiting scholar

2009.9-2012.6，Shandong University,  School of Mechanical Engineering, Master

2005.9-2009.6，Shandong University,  School of Mechanical Engineering, Bachelor

Working Experience

2019.6-2022.11, Swiss Federal Institute of Technology Lausanne (EPFL) Postdoc Scientist

2017.9-2019.5, Polytechnic University of Madrid (UPM), Research Assistant          

2012.8-2013.8, ANDREAS STIHL Power Tools, Production Engineer 

Research Area

Intelligent manufacturing

Digital Twin and Cognitive Digital Twin

Model Based Systems Engineering (MBSE)

Semantic modelling and Ontology Engineering

Publications

1. Rebeca Arista, Xiaochen Zheng* et al. An Ontology-based Engineering system to support aircraft manufacturing system design. Journal of Manufacturing, 2023.

2. Xiaochen Zheng et al. A semantic-driven tradespace framework to accelerate aircraft manufacturing system design. Journal of Intelligent, 2022.

3. Xiaochen Zheng* et al. Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process. Mechanical Systems and Signal Processing, 2022.

4. Jinzhi Lu, Zhaorui Yang, Xiaochen Zheng* et al. Exploring the Concept of Cognitive Digital Twin from Model-Based Systems Engineering Perspective. International Journal of Advanced Manufacturing Technology, 2022.

5. Jože Rožanec，Jinzhi Lu, Xiaochen Zheng, et al. Actionable cognitive twins for decision making in manufacturing International Journal of Production Research, 2022

6. Jingqi Chen, Guoxin Wang, Jinzhi Lu, Xiaochen Zheng, Dimitris Kiritsis,  Model-based system engineering supporting production scheduling based on satisfiability modulo theory Journal of Industrial Information Integration, 2022

7. Xiaochen Zheng et al. The emergence of cognitive digital twin: vision, challenges and opportunities. International Journal of Production Research, 2021.