Position: > English Version > Academics > Supervisors > Content

姓名:

Name:

吕赐兴

Cixing LV

职称:

Job Title:

教授

Professor

学历(学位)

Degree

博士研究生

Doctor

联系邮箱:

Email:

lvcixing@dgut.edu.cn

Engaged in research and development in machine vision, 3D reconstruction, pattern recognition, and industrial software, he has led over ten national-level research projects. His primary research directions include 3D intelligent reconstruction, vision-based defect detection integrated with artificial intelligence, intelligent industrial data processing, automatic control systems for large-scale equipment, and intelligent control industrial software. These efforts have been successfully implemented in organizations such as Dongfang Electric Corporation, CRRC Times Electric in Hunan, Shenyang Machine Tool (Group) Co., Ltd. Yunnan CY Group, and Shandong Nanshan Aviation Aluminum Industrial Park. Through these projects, he has accumulated extensive experience in research, technological development, and system implementation.

主要研究方向及内容

Main Research area and subject

My research centers on Industrial Artificial Intelligence and Smart Manufacturing, focusing on developing and implementing intelligent, data-driven solutions for industry. Key areas include:

1. Industrial AI & Machine Vision: Applying deep learning, computer vision, and 3D reconstruction to automated visual inspection, defect detection, and precision guidance.

2. Smart Manufacturing Systems: Researching digital workshops, robotic systems, and intelligent control software for flexible production lines and cloud-based manufacturing.

3. Advanced Industrial Imaging: Pioneering terahertz imaging and image processing techniques for non-destructive testing and defect detection in critical components like integrated circuits.

The work is application-oriented, translating research into practice through national projects and industrial collaborations with leading manufacturers.

Scientific Research Achievements

Projects Led and Participated In:

1.  National Key R&D Program of China, "Supply Chain Control Method Based on Deep Learning," No. 2018YFB1004000004, 2018-2020, Sub-project Lead.

2.  Enterprise Commissioned Project, "Research and Development of Vision Positioning for High-Speed PCB Inkjet Printing Equipment," Jan 2016 – Aug 2016, Project Lead.

3.  Enterprise Commissioned Project, "Robot System for High-Speed PCB Inkjet Printing Equipment Production Line," Jun 2017 – Sep 2017, Project Lead.

4.  National "863" Program Project, "Key Technology R&D for a Pilot Line of Solar Cells with Ultra-fine Electrodes Prepared by Inkjet Printing (No. 2014AA052102)," Feb 2014 – Mar 2017, Key Member.

5.  CAS Key Deployment Project, "Research and Development of RFID Tag Printing Equipment Based on Digital Inkjet Printing," Jan 2013 – Dec 2014, Key Member.

6.  National Science & Technology Pillar Program, "Application Demonstration of Key Technologies for a Digital Workshop in Manufacturing Large Power Station Turbine Blades," No. 2015BAF02B01, Jan 2015 – Dec 2018, Sub-project Lead.

7.  National Intelligent Manufacturing Special Project, "R&D of Main Control System Software for a Spindle Flexible Production Line," Jan 2015 – Dec 2017, Sub-project Lead.

8.  National Intelligent Manufacturing Special Project, "New Model for Intelligent Manufacturing of High-End Medical Imaging Equipment," Jan 2016 – Dec 2018, Sub-project Lead.

9.  National Natural Science Foundation of China, "Research on Multi-scale Spatiotemporal Features and Complex Activity Patterns of Crowds Based on Reality Mining," No. 61203161, Jan 2013 – Dec 2015, Project Lead.

10. National 863 Key Project, "Key Technology R&D and Demonstration of Cloud Manufacturing for Small and Medium Enterprises," No. 2011AA040603, Jan 2011 – Dec 2013, Project Lead.


Publications:

1.  Developing industry-level terahertz imaging resolution using a mathematical model[J]. *IEEE Transactions on Terahertz Science and Technology*, 2021, PP(99):1-1.

2.  An NSABC Algorithm for Multi-Aisle AS/RS Scheduling Optimization[J]. *Computers & Industrial Engineering*, 2021:107254.

3.  A Convolutional Neural Network Model Based on Terahertz Imaging for Integrated Circuit Defect Detections[J]. *Optics Express*, 2020, 28(4).

4.  Restoration of integrated circuit terahertz image based on wavelet denoising technique and the point spread function model[J]. *Optics and Lasers in Engineering*, 2021, 138:106413.

5.  Image fusion based on multiscale transform and sparse representation to enhance terahertz images[J]. *Optics Express*, 2020, 28(17).

6.  Chinese Invention Patent, "Multi-nozzle Ejection Scheduling Method, Device, Storage Medium, and Terminal for Light-Emitting Layer Preparation," Patent No. ZL202011427559.4.

7.  Design of a Control System for Preparing Li?Ti?O?? Thin Film Electrodes for Digital Inkjet Printing Process[J]. *Manufacturing Automation*, 2014, (20): 144-147, 152.

8.  Design and Implementation of an Inkjet Control System for Printed Electronics[J]. *Manufacturing Automation*, 2014, (6): 153-156.




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