Xianyi Zeng | Design of mechanical| Outstanding Scientist Award

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Prof. Xianyi Zeng | Design of mechanical| Best Researcher Award

Prof. Xianyi Zeng ,ENSAIT Engineer School, University of Lille,France

Prof. Xianyi Zeng is a distinguished professor at ENSAIT Engineer School, University of Lille, France. He is renowned for his contributions to textile engineering and smart textiles. Prof. Zeng’s research interests include intelligent textile systems, human-computer interaction, and artificial intelligence applications in textile manufacturing. He has published numerous articles in high-impact journals and has been actively involved in various international research projects. Prof. Zeng is also a respected member of several scientific committees and serves as a reviewer for numerous academic journals. His work has significantly advanced the integration of technology in the textile industry, making him a leading figure in his field.

 

Professional Profiles:

Google Scholar 

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

Qi Liu| Machining and control| Best Researcher Award

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Dr . Qi Liu| Machining and control| Best Researcher Award

Dr.Qi Liu ,Wuhan university of technology,China

Dr. Qi Liu is a distinguished professor at the Wuhan University of Technology in China. His research focuses on advanced materials, particularly in the fields of nanotechnology and materials science. Dr. Liu has made significant contributions to the development of innovative materials with applications in various high-tech industries. He has published extensively in top-tier scientific journals and has been recognized with numerous awards for his groundbreaking work. Dr. Liu is also actively involved in collaborative projects and international conferences, furthering the global impact of his research.

 

Professional Profiles:

Orcid

Education :

Doctoral Joint Training
Engineering College, Hokkaido University, Sapporo, Japan
10/2022 – 10/2023,Ph.D. in Engineering
School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, China,09/2019 – 10/2023,Master of Engineering,School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, China,09/2017 – 06/2019

Experience:

  • Lecturer
    Wuhan University of Technology

Honord And Awards:

  • Excellent Scholarship for Doctor
    Wuhan University of Technology
    2019, 2020, 2021

Patents:

  • A dual motor synchronous control method and equipment based on time-varying friction compensation. Patent number: ZL202110014478.X.
  • CNC machine tool positioning error prediction and compensation method, system, and storage medium. Patent number: ZL202010398295.8.
  • Positioning error compensation software of NC machine tool based on BECKHOFF motion controller V1.0. Authorized Number: 2021SR0125789.
  • Control system software of precision double drive grinding wheel machine V1.0. Authorized Number: 2018SR571925.

Publications :

    • Liu, Q., Lu, H., Yonezawa, H., Yonezawa, A., Kajiwara, I., Wang, B. (2023). Grey wolf optimization algorithm-based tuned P-PI cascade controller for dual ball screw feed drive systems. Mathematics.
    • Liu, Q., Lu, H., Zhang, X., Qiao, Y., Yu, J., Dou, H., Zhang, Y. (2022). A method to improve position accuracy for dual-drive feed machines by state-dependent friction compensation. PART B-Journal of Engineering Manufacture.
    • Lu, H., Liu, Q., Zhang, X., Qiao, Y., Yu, J., Dou, H., Zhang, Y. (2021). Dynamic characteristics and research on the dual-drive feed mechanism. PART C-Journal of Mechanical Engineering Science.
    • Liu, Q., Lu, H., Zhang, X., Qiao, Y. (2021). Research on positioning error compensation of gantry mobile dual-drive feed system. Huazhong University of Science and Technology (Natural Science Edition).
    • Liu, Q., Lu, H., Zhang, X., Qiao, Y., Cheng, Q., Zhang, Y., Wang, Y. (2020). A non-delay error compensation method for dual-driving gantry-type machine tool. Processes, 8(7), 748.
    • Lu, H., Cheng, Q., Zhang, X., Liu, Q., Qiao, Y., Zhang, Y. (2020). A novel geometric error compensation method for gantry-moving CNC machine regarding dominant errors. Processes, 8(8), 906.
  • Conference Papers
    • Dou, H., Lu, H., Wang, S., Liu, Q. (2021). Research on synchronous control of gantry-type dual-driving feed system based on fuzzy single neuron PID cross-coupled controller. 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).