Professor Xun William Xu



Professor Xu received his undergraduate education from Shenyang Jianzhu University and masters degree from Dalian University of Technology, P. R. China, respectively. In 1996, he received a PhD from the University of Manchester (then, UMIST), UK.

Since then, he has been working at the University of Auckland as a Lecturer, Senior Lecturer, Associate Professor and now Professor.  His teaching at the Department of Mechanical Engineering cuts across a number of fields, e.g, mechanical engineering design, manufacturing systems, advanced manufacturing technology, manufacturing information systems and advanced CAD/CAM/CNC.

Professor Xu's main research focuses are on computer-aided design, process planning and manufacturing, in particular STEP-compliant CNC (STEP-NC), cloud manufacturing and Industry 4.0. 

The IIMS research group Professor Xu leads is one of top research teams in the world working in the field of STEP-compliant design and manufacturing. Professor Xu is the founder of Manuclouds, an online Cloud Manufacturing Forum. In 2016, he set up the first Industry 4.0 laboratory in New Zealand, Laboratory for Industry 4.0 Smart Manufacturing Systems (LISMS).



PhD in Computer-Aided Design and Manufacturing (CAD/CAM), University of Manchester (then University of Manchester Institute of Science and Technology (UMIST)), England164x164
ME in Computer-Aided Design, Dalian University of Technology, China
BE in Manufacturing Engineering, Shenyang Jianzhu University, China

Research | Current

  • Cloud manufacturing
  • Industrie 4.0
  • Intelligent and Interoperable manufacturing systems
  • STEP-compliant CAD/CAPP/CAM (STEP-NC) applications
  • Cyber-Physical Production Systems (CPPS)
  • Internet of Things and Internet of Services
  • Additive manufacturing (3D printing)
  • Virtual prototyping
  • Computer integrated manufacturing
  • Machining simulation
  • Product design and innovation
  • Manufacturing techniques - machinability analysis, metal cutting theory and cutting tool design
  • Product Life Cycle Assessment (LCA)
  • Product Data Management (PDM)
  • Product Lifecycle Management (PLM)
  • Reverse engineering

Research groups

Research flyers

Teaching | Current

  • MECHENG 236 - Design & Manufacturing 2
  • MECHENG 334 - Engineering Design 3M
  • MECHENG 352 - Manufacturing Systems
  • MECHENG 706 - Mechatronics Design
  • MECHENG 751 - Advanced CAD/CAM/CNC
  • MECHENG 753 - Manufacturing Information Systems

Postgraduate supervision

PhD students:

  • Shohin Aheleroff*, "Internet of Things Personalized Products in Industry 4.0", to complete 2021
  • Israel Atakulu*, "Engineering Design Change Management", to complete 2020
  • S.Reza Hamzeh*: "Developing an Integrated Framework for Technology Selection and Successful Implementation of INDUSTRY 4.0", to complete 2020
  • Emmanuel Flores Arriaga: "Cloud Manufacturing in the Context of Industry 4.0", to complete 2021
  • Janaka Rajapaksha*: "Simulation of engineering change management", to complete 2020
  • Jens Brinkmann*: "Integration of advanced design information with CAD to support product development", to complete 2021
  • David Tomzik: "Cloud-based data acquisition and control for industrial and cyber-physical systems interacting with soft objects", to complete 2021
  • Pauls Davis: "Fostering innovation in highly regulated industries", to complete 2020
  • Jingchao Jiang*: "Design for 3D Printing", to complete 2020
  • Yuan Lin: "Implementation of Augmented Reality in Machining Processes", to complete 2020
  • Geng Zhang+: "Manufacturing services configuration in the cloud manufacturing (CMfg) platform", to complete 2018
  • Khamdi Mubarok: "Cloud Manufacturing for Modern Industry – an Industrie 4.0 Perspective", to complete in 2019
  • Rivai Wardhani: "Model-based Design and Manufacturing based on STEP AP242", to complete in 2019
  • Chao Liu: "Cyber-physical Machining Systems", to complete in 2018
  • Chong Deng*: "Soft-bodied Peristaltic XY Machine Table", to complete in 2018
  • Khairul Affendy Md Nor*: "Active and adaptive control of noise transmission in structures". to complete in 2018
  • Changyi Deng+: "Lower power scheduling algorithm for the numerical control system"
  • Yuanbin Wang: "A Cloud-based Design for Additive Manufacturing Platform"
  • Honghui Wang+: "Research on design method of CNC machining energy consumption knowledge platform based on ontology"
  • Shiqiang Yu: “Product Configurator for Cloud Manufacturing”
  • Pai Zheng: "Customer-centric Design for Mass Personalization in OKP Companies"
  • Chunyang Yu+: "PRSS-based production control in Cloud manufacturing"
  • Yuqian Lu: “Development of a hybrid cloud manufacturing system”
  • Zhiqian Sang: “STEP-NC Enabled Intelligent Machining”
  • Yuanyuan Zhao+: “Ontology for Cloud-based Manufacturing”
  • Azwan Azmi*: “Machinability Study of Composite Materials in End Milling Using Taguchi-Fuzzy Logic Techniques.”
  • Mick (Liming) Ou: “Assembly Sequence and Resource Planning”, TBR
  • Tao Peng: “A Novel Approach Towards Energy-efficient Machining”
  • Anna Lin*: “Knowledge Management Technologies to Support Product Development in Medium Sized High Technology Enterprises”
  • Daniel Stevenson: “Development of novel hearing technologies”
  • April Li*: “Enabling technology for rapid development of high value-added customised product”
  • Jenny Xu: “Dual-Resource Constrain Scheduling Systems”
  • Aini Zuhra Abdul Kadir: “A Novel Approach Towards High-Fidelity Machining Simulation”
  • Ke Wang+: "A CNC system based on real-time Ethernet and Windows NT"
  • Xi Wang: “Development of an Intelligent and Interoperable Manufacturing Platform”
  • Terry Yu Zhang+: “Web-based Machining Simulation”
  • Alireza Mokhtar+: "Feature interactions for prismatic parts in STEP-NC"
  • Firman Ridwan: “STEP-NC Enabled Machine Condition Monitoring”
  • Mohamad Bin Minhat: “Development of a STEP-NC Controller”
  • Yaoyao Fiona Zhao: “Intelligent Machining with on-line Inspection”
  • Hongqiang Derek Wang: “New Control Strategy for CNC Machines via STEP-NC”

+ -- Joint supersion with another university

* -- As a co-supervisor


Master of Engineering (Thesis)

  • Hrishikesh Vengayil: "Internet of Things-enabled Real-time visibility in Industry 4.0"
  • Milinda Jayasekera: "Assembly validation via 3-D Motion Control and VR Technologies"
  • Robert Schaefer: "Developing practical methods for measuring mechanical performance of 3D printed parts"
  • Maximilian Schiller: “Smart visualisation for cyber-physical machine tools”
  • Pruthvi Raj Veerla: “Improving the Interoperability of CAD/CAM Data”
  • Simon Yuk-Lun Chan: “Optimisation in high-speed machining of hardened steel using Minimum Quantity Lubricant (MQL)”
  • Qun Shao: “Industrial Ontology for Cloud Manufacturing”
  • Yin Zhang: “CAM Data Interoperability”
  • Pingzeshi He: “Adaptive STEP-NC Interpreter for Feature-Based Machining on an EMCO Mill”
  • Bins Jo Pappachan: “STEP-NC Feature Based EMCO Mill”
  • Horace Guo: “Computer Aided Quality Function Deployment For Rapid Development Of Customised Products”
  • Smit Shah (Hon): “Web-based QFD System”
  • M.P.Lankeshwara (Hon): “STEP-NC Enabled GibbsCAM”
  • Salah Habeeb (Hon): “STEP-compliant CNC Lathe”
  • Fiona Zhao (Hon): “Close-Loop Manufacturing”
  • Michael Segetin (Hon): “Flax Fibre Extraction and Fibre-reinforced Composites”
  • Yanyan Wang: “Development of a Manufacturing Database for STEP-compliant Collaborative CAPP System”
  • Liqing Chen  (Hon): “Decision Support System for Product Lifecycle Costing”
  • Jin Mao (Hon): “STEP Compliant Collaborative Product Development”
  • Qiuliang He: “Integrating Design with Manufacturing via STEP-NC”
  • Mahmood Ghadiri: “CAD-Driven Reverse Engineering Using STEP-NC”
  • Hao Shen (Hon): “Computerising Scanned Engineering Documents”
  • Michael Jou, “Development of a Design-for-Environment System"
  • Dongbin Zheng: “Development of a Smart Enterprise”
  • Tony Di-Jen Liu: “Development of a Web-enabled PDM System”
  • Yutian Brian Bai (Hon): “Computerising Scanned Engineering Documents"




Areas of expertise

  • Intelligent and interoperable manufacturing solutions
  • Advanced manufacturing technologies
  • STEP-compliant CAD/CAPP/CAM (STEP-NC) applications
  • CAD/CAM data interoperability
  • Cloud manufacturing
  • Additive manufacturing
  • Energy-efficient manufacturing
  • Product innovation
  • 3D digitisation and reverse engineering
  • Product Life Cycle Assessment (LCA)

Committees/Professional groups/Services

Professional affiliations

Selected publications and creative works (Research Outputs)

  • Yu, C., Zhang, W., Xu, X., Ji, Y., & Yu, S. (2018). Data mining based multi-level aggregate service planning for cloud manufacturing. Journal of Intelligent Manufacturing, 29 (6), 1351-1361. 10.1007/s10845-015-1184-8
  • Wang, H., Xu, X., Zhang, C., & Hu, T. (2018). A hybrid approach to energy-efficient machining for milled components via STEP-NC. International Journal of Computer Integrated Manufacturing, 31 (4-5), 442-456. 10.1080/0951192X.2017.1322220
  • Deng, C. Y., Guo, R. F., Liu, C., Zhong, R., & Xu, X. (2017). Data cleansing for energy-saving: a case of Cyber-Physical Machine Tools health monitoring system. International Journal of Production Research, 1-16. 10.1080/00207543.2017.1394596
    Other University of Auckland co-authors: Ray Y Zhong, Chao Liu
  • Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent Manufacturing in the Context of Industry 4.0: A Review. Engineering, 3 (5), 616-630. 10.1016/J.ENG.2017.05.015
    Other University of Auckland co-authors: Ray Y Zhong
  • Xu, X. (2017). Machine Tool 4.0 for the new era of manufacturing. International Journal of Advanced Manufacturing Technology, 92 (5-8), 1893-1900. 10.1007/s00170-017-0300-7
  • Lu, Y., Wang, H., & Xu, X. (2017). ManuService ontology: a product data model for service-oriented business interactions in a cloud manufacturing environment. Journal of Intelligent Manufacturing, 24 (4), 371-379. 10.1007/s10845-016-1250-x
  • Liu, C., Cao, S., Tse, W., & Xu, X. (2017). Augmented Reality-assisted Intelligent Window for Cyber-Physical Machine Tools. Journal of Manufacturing Systems, 44, 280-286. 10.1016/j.jmsy.2017.04.008
    Other University of Auckland co-authors: Chao Liu
  • Liu, Y., Xu, X., Zhang, L., Wang, L., & Zhong, R. Y. (2017). Workload-based multi-task scheduling in cloud manufacturing. Robotics and Computer-Integrated Manufacturing, 45, 3-20. 10.1016/j.rcim.2016.09.008
    Other University of Auckland co-authors: Ray Y Zhong


Contact details

Primary office location

Level 10, Room 1002
New Zealand

Social links

Web links