XIE Ningrong, Lucy
PhD graduate, 2020
Lucy is working on the Intelligent made to measure platform development, Size Recommendation and Auto-grading. She obtained her PhD in Apparel Technology at Hong Kong Polytechnic University and is working as the Post-Doctoral Fellow. She graduated from the University of Manchester in 2015 with a Master’s degree. She is interested in digital fashion, apparel fit, 3D body scanning and ergonomics.
Participated projects
Participated publications
- Books
Investigation on Human Body Movements and the Resulting Body Measurement Variations
- 2018
- Advances in Physical Ergonomics & Human Factors
- Top conference
- conference
The impacts of daily movements on uniform clothing fit – an interview study
- 2021
- International Journal of Fashion Design Technology and Education
Investigation of Full Body Skin Surface Variations under Dynamic Poses
- 2022
- International Journal of Industrial Ergonomics
Development of an integrated body size table accommodating the diversity of body types and sizes of various countries
- 2023
- The Journal of The Textile Institute
- Journal
- Journal submission
A Novel Model of Automatic Size Recommendation
- 2022
- Computers in Industry
Automatic custom pattern generation using the developed and optimized grading method
- 2023
- Textile Research Journal
Participated Publications
Investigation on Human Body Movements and the Resulting Body Measurement Variations
- 2018
- Advances in Physical Ergonomics & Human Factors
The impacts of daily movements on uniform clothing fit – an interview study
- 2021
- International Journal of Fashion Design Technology and Education
Investigation of Full Body Skin Surface Variations under Dynamic Poses
- 2022
- International Journal of Industrial Ergonomics
Development of an integrated body size table accommodating the diversity of body types and sizes of various countries
- 2023
- The Journal of The Textile Institute
A Novel Model of Automatic Size Recommendation
- 2022
- Computers in Industry
Automatic custom pattern generation using the developed and optimized grading method
- 2023
- Textile Research Journal