Prof. Xianyi Zeng ,ENSAIT Engineer School, University of Lille,France
Education :
10/2000: Habilitation à Diriger des Recherches (Full Professor’s Qualification) in Automation and Industrial Information Technology, Université des Sciences et Technologies de Lille, France.
Thesis Title: Learning from Data for Characterization of Complex Systems,2/1992: Ph.D., Centre d’Automatique, Université des Sciences et Technologies de Lille, France.,Thesis Title: Controlling Dynamic Processes Using Statistical Sampling,7/1988: DEA (M.Sc.), Centre d’Automatique, Université des Sciences et Technologies de Lille, France.
Major: Robotics,7/1986: B. Eng., Department of Computer Science and Technology, Tsinghua University, China.
Major: Computer Aided Design In Mechanical Engineering
Experience:
9/01-present: Professor (Exceptional Class, Level 2), ENSAIT (Ecole Nationale Supérieure des Arts et Industries Textiles),10/18-present: Director of the GEMTEX National Research Laboratory,9/96-8/01: Associate Professor (Maître de Conférences, 1st Class), ENSAIT,9/93-8/96: Assistant Professor (Maître de Conférences, 2nd Class), ENSAIT,9/91-7/93: Teaching and Research Assistant, ENSAIT,09/11-present: IEEE Senior Member,05/13-present: Chair of the Human-Machine Group of GRAISyHM (Regional Research Association in Automation and Information Technology)
Awards:
Best Paper Award: WAC2000 (World Automation Congress), Hawaii, USA (June 2000),Best Paper Award: Journal of Mathematics and Computers in Simulation (2008),Research and Ph.D. Supervision Award: French Ministry of Education (since 1995),Medal of Honorary Doctor: Technical University of Iasi, Romania (2019),“Chevalier dans l’Ordre des Palmes Académiques”: French National Knight Award (September 2019),Research and Development Award: France-China Committee – MEDEF (2021),Innovation Award: EU Innovation Radar (2021),Top-10 Innovation Leaders of Overseas Chinese in Europe (2022),Medal of Honorary Doctor: University of Boras, Sweden (2024)
Research Activities
General Research Interests
Artificial intelligence-based industrial product design by integrating measured data, human professional knowledge, and consumer perception.
Scientific Results:
Supervisor of PhD Students: 45 (40 defended, 5 in progress),Supervisor of Post-doctoral and Invited Researchers: 15,Supervisor of DEA Students (Master of Science): 30+,Supervisor of Engineer Students (Master of Engineering): 200+,Supervisor of HDR (Habilitation à Diriger des Recherches): 3,Collaborative Research Projects with Public Funding: 12 (EU-H2020, ANR, FUI, etc.),Industrial Contracts for Research Projects: 20 (DECATHLON, UNILEVER, HERMES, DAMART, etc.),Peer-reviewed International Journal Papers: 160 (SCI Index),Scientific Book Chapters: 20,Peer-reviewed International and National Conference Papers: 250 (EI Index),Invited Plenary or Keynote Presentations: 25,Invited Talks: 26,Scientific Books: 3 (published by Springer in 2004, 2007, and 2018),Patent: 1 (Intelligent Garment Design)
Publications :
- A Sustainable Supply Chain Design for Personalized Customization in Industry 5.0 Era
X. Wang, Y. Xue, J. Zhang, Y. Hong, S. Guo, X. Zeng, IEEE Trans. on Industrial Informatics, Vol. 20, No. 6, 2024, pp. 8786-8797
- An Interactive Knowledge-based Recommender System for Fashion Product Design in the Big Data Environment
M. Dong, X. Zeng, L. Koehl, J. Zhang, Information Sciences, Vol. 540, 2020, pp. 469-488
- Editorial: Special Issue on Intelligent Wearable Systems for Human Health Monitoring
X. Zeng, Q. Sun, IEEE Trans. on Industrial Informatics, Vol. 16, No. 11, 2020
- A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Optimizing Textile Chemical Process
Z. He, K. P. Tran, S. Thomassey, X. Zeng, J. Xu, C. Yi, Computers in Industry, November 2020
- 3D Interactive Garment Pattern-Making Technology
K. Liu, X. Zeng, P. Bruniaux, X. Tao, X. Yao, V. Li, J. Wang, Computer-Aided Design, Vol. 104, November 2018, pp. 113-124
- CBCRS: An Open Case-based Color Recommendation System
Y. Hong, X. Zeng, Y. Wang, P. Bruniaux, Y. Chen, Knowledge-Based Systems, Vol. 141, February 2018, pp. 113-128
- Control and Optimization of Human Perception on Virtual Garment Products by Learning from Experimental Data
X. Chen, X. Tao, X. Zeng, L. Koehl, J. Boulenguez-Phippen, Knowledge-Based Systems, Vol. 87, October 2015, pp. 92-101
- Intelligent Fashion Recommender System: Fuzzy Logic in Personalized Garment Design
L. Wang, X. Zeng, L. Koehl, Y. Chen, IEEE Trans. on Human Machine Systems, Vol. 45, No. 1, February 2015, pp. 95-109
- Well-being Theme Based Evaluation in New Product Development Using Fuzzy Hierarchical Criteria Group Decision Method
J. Lu, J. Ma, G. Zhang, Y. Zhu, X. Zeng, L. Koehl, IEEE Trans. on Industrial Electronics, Vol. 58, No. 6, June 2011, pp. 2236-2246