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Prof. MOK Tracy

Team Leader

Tracy is the brain behind all the researches here. She oversees, gives direction and advices to all the researchers. With the vision of bringing digital and technological reformation to the fashion industry, Tracy keeps bringing in inspiring perspectives and turning them into powerful tools and applications for fashion.

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The impacts of daily movements on uniform clothing fit – an interview study

P. Y. Mok* and Ningrong Xie (2021) The impacts of daily movements on uniform clothing fit – an interview study, International Journal of Fashion Design Technology and Education, (Journal Impact Factor 1.4, Q3 19/30 in the category of ‘materials science, textiles’), 14:1, 113-125, DOI: 10.1080/17543266.2021.1872715

Fashion recommendations through cross-media information retrieval

Zhou, W., Mok, P. Y., Zhou, Y., Zhou, Y., Shen, J., Qu, Q., and Chau, K. P. 44(2019), Fashion recommendations through cross-media information retrieval. Journal of Visual Communication and Image Representation, (Journal Impact Factor 2.6, Q2 49/108 in the category of ‘computer science, software engineering’) 61, 112-120.

A Part-Based Deep Neural Network Cascade Model for Human Parsing

Zhou, Y., Mok, P. Y.*, and Zhou, S. (2019) A Part-Based Deep Neural Network Cascade Model for Human Parsing. IEEE Access, (Journal Impact Factor 3.9, Q2 73/158 in the category of ‘computer science, information systems’), 7, 160101-160111.

Collaboration reasoning or social heuristics? Value proposition validity in omnium-gatherum business models

To K.M., Yee, R.W.Y., Mok, P. Y., Chau, K.P., Wong, Carrie, Cheung, N.M. (2018), Collaboration reasoning or social heuristics? Value proposition validity in omnium-gatherum business models, Journal of Business Research, (Journal Impact Factor 11.3, Q1 14/154 in the category of ‘business’) 88, 550-559.

Precise shape estimation of dressed subjects from two-view image sets

P.Y. Mok and Shuaiyin Zhu. Precise shape estimation of dressed subjects from two-view image sets, Calvin Wong (Ed.) Applications of Computer Vision in Fashion and Textiles, Elsevier, Chapter 11, pp 273-292, 2018, Book Chapter.

Investigation on Human Body Movements and the Resulting Body Measurement Variations

Ningrong Xie and P.Y. Mok, Investigation on Human Body Movements and the Resulting Body Measurement Variations, Advances in Physical Ergonomics & Human Factors, Ravindra S. Goonetilleke and Waldemar Karwowski Eds. Volume 602 of the Advances in Intelligent Systems and Computing series, Springer International Publishing AG, pp 387-399, 2018, Book Chapter.

A New Design Concept: 3D to 2D Textile Pattern Design for Garments

Shufang Lu, Mok, P. Y.*, and X. Jin (2017) A New Design Concept: 3D to 2D Textile Pattern Design for Garments, Computer-Aided Design, (Journal Impact Factor 4.3, Q1 24/108 in the category of ‘computer science, software engineering’)89: 35-49.

Web-based design support system for fashion technical sketches

Jie Xu, Mok, P. Y.*, R.W.Y. Yee, and C.W.M. Yuen (2016) web-based design support system for fashion technical sketches, International Journal of Clothing Science and Technology, (Journal Impact Factor 1.2, Q3 15/26 in the category of ‘materials science, textiles’) 28(1): 130 -160.

Fashion design using evolutionary algorithms and fuzzy set theory – a case to realize skirt design customizations

P.Y. Mok, J. Xu and Y.Y. Wu, Fashion design using evolutionary algorithms and fuzzy set theory – a case to realize skirt design customizations, In Tsan-Ming Choi (Ed.) Information Systems for the Fashion and Apparel Industry, Chapter 9, pp. 163-198, Woodhead Publishing, United Kingdom, 2016. Book Chapter.

Predicting realistic and precise human body models under clothing based on orthogonal-view photos

Shuaiyin Zhu and Mok, P. Y.* (2015). Predicting realistic and precise human body models under clothing based on orthogonal-view photos, Procedia Manufacturing, (Journal Impact Factor 0.855, Q3, Journal discontinued as of 2022) 3: 3812-3819.