Dr Ningrong Lei MSc, PhD
Lecturer in Systems Engineering
Summary
I have a PhD in Mechanical and Aerospace Engineering from Nanyang Technological University, Singapore (NTU).
I joined Sheffield Hallam University in 2016 and am currently a Lecturer in Systems Engineering in the Department of Engineering and Mathematics.
Prior to joining Hallam, I was a visiting scholar at Georgia Institute of Technology, USA. I also worked as a researcher at Centre of Innovation at Ngee Ann Polytechnic, Singapore.
Before that, I was a lecturer at Wuhan Institute of Technology, China, where I led the industrial training program of surface mount technology in collaboration with Foxconn Technology Group.
I am the course leader for MSc Advanced Engineering and Management.
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About
Dr Lei's research interests are data-driven decision support systems for product design and mass customisation, as well as design for additive manufacturing. Her main teaching areas are systems engineering, product design, and solid mechanics and dynamics.
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Teaching
Systems engineering, mechatronics, control and systems engineering
Modules
Module leader on
Systems Engineering (Level 6 MEng/BEng Mechanical Engineering)
Equipment Engineering and Design (Level 7 MEng/BEng Mechanical Engineering)Other modules
Electro-Mechanical Engineering Practice (Level 4 MEng/BEng Mechanical Engineering)
Mechanical engineering design and CAD
Maths for materials and design Group Project – International Product Development -
Research
My current research interests include data-driven product design, big data in servitization, modular service design, and Internet of Things for data-driven additive manufacturing.
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Publications
Journal articles
Faust, O., Lei, N., Chew, E., Ciaccio, E.J., & Acharya, U.R. (2020). A Smart Service Platform for Cost Efficient Cardiac Health Monitoring. International Journal of Environmental Research and Public Health, 17 (17), e6313. http://doi.org/10.3390/ijerph17176313
Lei, N., Yao, X., Moon, S.K., & Bi, G. (2016). An additive manufacturing process model for product family design. Journal of Engineering Design, 27 (11), 751-767. http://doi.org/10.1080/09544828.2016.1228101
Lei, N., & Moon, S.K. (2015). A decision support system for market-driven product positioning and design. Decision Support Systems, 69, 82-91. http://doi.org/10.1016/j.dss.2014.11.010
Conference papers
Lei, N., Faust, O., Rosen, D.W., & Sherkat, N. (2018). Uncovering design topics by visualizing and interpreting keyword data. The proceeding of 15th international design conference, 57-68. http://doi.org/10.21278/idc.2018.0370
Lei, N., Moon, S.K., & Bi, G. (2014). Additive manufacturing and topology optimization to support product family design. High Value Manufacturing: Advanced Research in Virtual and Rapid Prototyping - Proceedings of the 6th International Conference on Advanced Research and Rapid Prototyping, VR@P 2013, 505-510.
Book chapters
Lei, N., & Moon, S.K. (2014). Decision support system design for data-driven management. In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME: http://doi.org/10.1115/DETC2014-34871
Lei, N., Moon, S.K., & Bi, G. (2014). An Additive Manufacturing resource process model for product family design. In Proceedings of the 2013 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE: http://doi.org/10.1109/IEEM.2013.6962485
Lei, N., & Moon, S.K. (2013). A decision support system for market segment driven product design. In Lindemann, U., Venkataraman, S., Kim, Y.S., Lee, S.W., Papalambros, P., & Chen, W. (Eds.) Proceedings of the 19th International Conference on Engineering Design (ICED13), Design for Harmonies. (pp. 177-186). Design Society: https://www.designsociety.org/publication/34655/A+decision+support+system+for+market+segment+driven+product+design
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Other activities
- Reviewer: Journal of IEEE Industrial Engineering and Engineering Management and Journal of Industrial Management and Data Systems
- Member of Scientific Advisory Board on international Design Conference 2018