I have a PhD in Mechanical and Aerospace Engineering from Nanyang Technological University, Singapore (NTU). I joined Sheffield Hallam University in 2016. I am currently a senior lecturer in Systems Engineering and course leader for MSc Advanced Engineering and Management 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.
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.
Systems engineering, mechatronics, control and systems engineering
Module leader on
Systems Engineering (Level 6 MEng/BEng Mechanical Engineering)
Equipment Engineering and Design (Level 7 MEng/BEng Mechanical Engineering)
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
My current research interests include data-driven product and service design, modular service design, and Internet of Things for data-driven additive manufacturing. I am the founding member of the 'Transformative artificial intelligence applications research cluster'.
I am the Co-investigator for the following funded projects:
- The stroke risk monitoring service, funded by Grow MedTech Proof of Feasibility funding.
- The stroke risk monitoring service, funded by Grow MedTech Proof of Market funding.
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
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.
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
- 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
Current PhD students:
2019-present, Jiacheng Chen. Title: Variable control distribution for swarm robots and robot control interface. Dr. Lei is co-supervising the student with Dr. Lyuba Alboul, and Professor Jacques Penders.
2018-present, Samina Komal. Title: Determination and Applications of supply chain strategies and practices in UK textile. Dr. Lei is co-supervising the student with Professor Sameh Saad.