Dr Ningrong Lei PhD, MSc, FHEA
Senior Lecturer in Systems Engineering
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.
Barika, R., Elphick, H., Lei, N., Razaghi, H., & Faust, O. (2022). Environmental benefits of sleep apnoea detection in the home environment. Processes, 10 (9). http://doi.org/10.3390/pr10091739
Faust, O., Kareem, M., & Lei, N. (2021). Atrial fibrillation detection service validation tool. Software Impacts, 10. http://doi.org/10.1016/j.simpa.2021.100117
Paszkiel, S., Rojek, R., Lei, N., & Castro, M.A. (2021). Review of solutions for the application of example of machine learning methods for motor imagery in correlation with brain-computer interfaces. Przeglad Elektrotechniczny, 97 (11), 111-116. http://doi.org/10.15199/48.2021.11.20
Kareem, M., Lei, N., Ali, A., Ciaccio, E.J., Acharya, U.R., & Faust, O. (2021). A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke. Biomedical Signal Processing and Control, 69, 102818. http://doi.org/10.1016/j.bspc.2021.102818
Paszkiel, S., Rojek, R., Lei, N., & Castro, M.A. (2021). A Pilot Study of Game Design in the Unity Environment as an Example of the Use of Neurogaming on the Basis of Brain–Computer Interface Technology to Improve Concentration. NeuroSci, 2 (2), 109-119. http://doi.org/10.3390/neurosci2020007
Lei, N., Kareem, M., Moon, S.K., Ciaccio, E.J., Acharya, U.R., & Faust, O. (2021). Hybrid Decision Support to Monitor Atrial Fibrillation for Stroke Prevention. International Journal of Environmental Research and Public Health, 18 (2), 813. http://doi.org/10.3390/ijerph18020813
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., LU, P., & Liu, Z.-.M. (2009). Effect of magnetic fluid grinding parameters on grinding efficiency and grinding mechanism of steel balls. Machinery Design & Manufacture, 241.
Lei, N., & Liu, Z.-.M. (2005). Engineering Experimental Long Distance Supervisory Control System Based on Web. Journal of WUT Information and Management Engineering, 27, 28-31.
Chen, J., Alboul, L., & Lei, N. (2022). Simulation of fire fighter swarm robotics in MATLAB and robot e-puck2 development. UKRAS22 Conference "Robotics for Unconstrained Environments" Proceedings, 30-31. http://doi.org/10.31256/ei2ak4a
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., & Rosen, D. (2015). Redefining product family design for additive manufacturing, iced [abstract only]. In Weber, C., Husung, S., Cantamessa, M., Cascini, G., Marjanovic, D., Graziosi, S., ... Venkataraman, S. (Eds.) 20th International Conference on Engineering Design (ICED15), Milan, Italy, 27 July 2015 - 30 July 2015. The Design Society
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.
Chen, G.X., Kwee, T.J., Lei, N.R., Tan, K.P., Choo, Y.S., & Hong, M.H. (2010). Underwater laser cleaning for marine and offshore applications. International Congress on Applications of Lasers & Electro-Optics. http://doi.org/10.2351/1.5062066
Kwee, T.J., Chen, G.X., Lei, N.R., Tan, K.P., Choo, Y.S., & Hong, M.H. (2010). Surface preparation for shipbuilding using pulsed high-power fibre laser. International Congress on Applications of Lasers & Electro-Optics. http://doi.org/10.2351/1.5062065
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
Theses / Dissertations
Lei, N. (2016). Data-driven project family design for additive manufacturing. (Doctoral thesis). Supervised by Moon, S.K.
Lei, N. (2022). Ebers Health - Real time atrial fibrillation detection to prevent stroke.
Lei, N. (2021). Heart health monitoring service platform. Presented at: Materials and Engineering Research Symposium (MERI) research symposium, Online, 2021
Lei, N., Yao, X., Ki Moon, S., & Bi, G. (2014). Resource-Driven Product Family Design in Additive Manufacturing. Presented at: 1st International Conference on Progress in Additive Manufacturing (Pro-AM 2014), Nanyang Technological University, Singapore, 2014
- 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.