Xianyi Zeng | Design of mechanical| Outstanding Scientist Award

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

Guoqing Wang | Industrial engineering Award | Best Researcher Award

Prof.Guoqing Wang | Industrial engineering Award | Best Researcher Award

Prof.Guoqing Wang,University of Electronic Science and Technology of China, China

Dr. Guoqing Wang is a distinguished professor at the University of Electronic Science and Technology of China (UESTC), located in Chengdu, Sichuan Province, China. He holds expertise in the field of electronic engineering, particularly in the areas of signal processing, communication systems, and wireless networks. With numerous publications and research contributions to his name, Dr. Wang is recognized for his innovative approaches to solving complex problems in telecommunications. He plays a pivotal role in advancing both academic and industrial research endeavors, fostering collaboration and driving technological advancements in China’s electronic engineering landscape.

Professional Profiles:

Scopus

Education:

Ph.D. in Computer Science and Engineering (Sep. 2017 – Jan. 2021,Advisors: Dr. Changming Sun, Prof. Arcot Sowmya,Thesis: “Unbiased Representation Learning Networks for Single Rainy Image ,M.S. in Control Engineering (Sep. 2014 – Jul. 2017)

Research Interests:

  • Machine Learning:
    • Self-/semi-/un- supervised learning and few-shot learning
    • Domain adaptation, meta-learning, and multi-task learning
    • Network interpretation and optimization

    Computer Vision:

    • Holistic image/video understanding, including classification, generation, restoration, salient object detection, semantic segmentation, depth estimation, etc.
    • Adversarial attack mitigation
    • Network compression, neural architecture search, and efficient network routing

Honors and Awards:

  • National Natural Science Fund for Excellent Young Scientists Fund Program (Overseas)
  • Dean’s Award for Outstanding PhD Theses
  • Tecent Open Fund for Excellent Young Scholar
  • ICCV Student Travel Grant
  • UNSW Postgraduate Research Student Support (PRSS) Scholarship
  • UNSW/CSIRO Postgraduate Scholarships
  • Best Master Dissertation of Jiangsu Province (2022)

 

Publications:

    • 1. Enhanced Context Encoding for Single Image Raindrop Removal
      • Authors: Guoqing Wang, Yang Yang*, Xing Xu, Jingjing Li, HengTao Shen
      • Published in: Science in China (Technological Sciences), 2021
      • [pdf]

      2. Attentive Feature Refinement Network for Single Rainy Image Restoration

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Image Processing, 2020
      • [pdf]

      3. Context-enhanced Representation Learning for Single Image De-Raining

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: International Journal of Computer Vision, 2020
      • [pdf]

      4. Cascaded Attention Guidance Network for Single Rainy Image Restoration

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Image Processing, 2020
      • [pdf]

      5. Multi-Scale Deep Representation Aggregation for Vein Recognition

      • Authors: Zaiyu Pan, Jun Wang*, Guoqing Wang, Jihong Zhu
      • Published in: IEEE Transactions on Information Forensics and Security, 2020
      • [pdf]

      6. Learning a Compact Vein Discrimination Model With GAN-erated Samples

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Information Forensics and Security, 2019
      • [pdf]

      7. Multi-Weighted Co-Occurrence Descriptor Encoding for Vein Recognition

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Information Forensics and Security, 2019
      • [pdf]

      8. Spatial Pyramid Pooling of Selective Convolutional Features for Vein Recognition

      • Authors: Jun Wang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
      • Published in: IEEE Access, 2018
      • [pdf]

      9. Minutiae Based Weighting Aggregation of Deep Convolutional Features for Vein Recognition

      • Authors: Jun Wang, Kai Yang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
      • Published in: IEEE Access, 2018
      • [pdf]

      10. Gender Attribute Mining with Hand Dorsa Vein Image Based on Unsupervised Sparse Feature Learning

      • Authors: Jun Wang, Guoqing Wang*, Zaiyu Pan
      • Published in: IEICE Transactions on Information and Systems, 2018