Zheng XiaochenView profile
Assistant Professor
Zheng Xiaochen serves as an Assistant Professor at Southern University of Science and Technology's School of Automation and Intelligent Manufacturing, bringing expertise from his PhD at Madrid's Polytechnic University and postdoctoral research at EPFL's ICT4SM lab. His work bridges academic research with industrial applications through EU-funded projects and global standardization initiatives. His educational foundation includes: PhD in Industrial Engineering, Polytechnic University of Madrid (2019, Cum Laude) Visiting Scholar, Copenhagen Business School (2018) MS in Manufacturing System Information Engineering, Shandong University (2012) BS in Mechanical Design, Shandong University (2009) Research centers on cognitive digital twins and ontology-driven manufacturing systems , with emphasis on translating theoretical frameworks into industrial solutions. His Model Based Systems Engineering approaches enable real-time decision-making in aircraft production and CNC machining, while semantic modeling creates interoperable knowledge bases for zero-defect manufacturing. Current work integrates AI with physical production systems to close the loop between digital models and shop-floor operations. Publication analysis reveals consistent focus on cognitive digital twin applications (43% of recent output), ontology engineering for aerospace (29%), and MBSE frameworks for production scheduling (28%), demonstrating strategic alignment with Industry 4.0 priorities and EU manufacturing initiatives. Key recognitions include: Polytechnic University of Madrid's Outstanding Doctoral Dissertation (Cum Laude) International Journal of Production Research Top Cited Paper Award Funding leadership spans multiple EU Horizon 2020 projects including QU4LITY (H2020 825030), lBOOST 4.0 (780732), and OntoCommons (958371), with direct industry partnerships at Airbus and Siemens. He chairs the Industrial Ontologies Foundry's Product Service System working group while contributing to CEN-CENELEC's Zero-Defect Manufacturing standardization efforts. As director of SUSTech's cognitive manufacturing research unit, he coordinates cross-disciplinary teams developing ontology-based frameworks for digital twin implementations, with active collaborations spanning the EU-China Manufacturing Innovation Platform and Shenzhen's smart manufacturing industrial cluster.



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