Keynotes
Technology for Health and Wellbeing in the Workplace
Xianyi Zeng is a full professor (exceptional class – grade 2) at ENSAIT Textile Engineer School – University of Lille, France, and Director of the GEMTEX National Laboratory.
He has been an IEEE senior member since 2011 and led the Theme on Human-Machine Systems in GRAISyHM (regional association of Researchers on Automation) since 2013. He has had the French National Knight’s title in the Order of the Academic Palms since 2019 and was the holder of the Innovation R&D Award from the France-China Committee, and the EU Key Innovation Team Award from the EU Innovation Radar, both in 2021. He was awarded Top-10 Innovation Leader of Overseas Chinese in Europe in 2022. In ENSAIT, he has been a leader of the Department of Fashion and Service Engineering since 2009.
Xianyi Zeng has published more than 160 papers in peer-reviewed international journals, presented more than 260 papers at international conferences, and supervised more than 40 PhD students. In addition, as a principal investigator, he has led three European projects (Asia-Link: 2004-2008), SMDTex – European Joint Doctorate Program on Textile Sustainable Design and Management (Erasmus Mundus Program: 2013 – 2021), FBD_BModel – Fashion big data and business model (H2020 Program: 2017-2021) and several national and regional research projects such as IOTFetMov (ANR Program: 2015 – 2019), Camille 3D (FUI Program: 2012 – 2015), SUCRE (ARCIR Program: 2013 – 2017) and industrial projects in France and Europe.
Abstract
This presentation gives a comprehensive review of our previous studies on human-fashion product interactions, aimed at creating an AI-augmented Metaverse ecosystem to support a new generation of AI-driven design processes. Modeling complex user-product interactions across physical, cognitive, emotional, and socio-cultural dimensions by integrating multimodal human data and knowledge as well as real-virtual interactions constitutes the main axis of our approaches. It enables to support dynamic personalization, recommendations, and iterative co-design of fashion products. Our contributions include: (1) interactive garment design tailored to individual anthropometric and cognitive profiles, (2) fabric digitalization and characterization, (3) knowledge-based adaptive design informed by socio-cultural factors, and (4) emotionally responsive color design. The entire fashion design process follows a human-in-the-loop cycle – design, recommendation, demonstration, and feedback, driven by joint use of data mining and knowledge integration. This work bridges AI, digital human modeling, and fashion engineering, enabling sustainable, inclusive, and intelligent design workflows within immersive virtual environments.
Prof. Xianyi ZENG
ENSAIT, GEMTEX National Laboratory, University of Lille, France
