Chengjun Chen

Education: Ph.D. (Shandong   University)

Major: Mechanical Engineering

School: School of Mechanical and Automotive Engineering   (MAE)

Department/Institute: Department   of Measurement and Control Technology and Instrumentation

Title: Professor

Email: chencj@qut.edu.cn

Personal profile（个人简介）

Chengjun   Chen, doctor of mechanical Engineering, professor, vice dean of the School of   Mechanical & Automotive Engineering, Taishan scholars of Shandong   Province. His research areas include the visual teleoperation and autonomous   control of lunar robot, Augmented reality assembly guidance technology and Assembly   monitoring based on deep learning technology. He has published more than 40   high-level academic papers in international top journals in the research field,   Authorized more than 60 invention patents from China, Australia and   Netherlands, 8 software copyright. Research results are widely used Ship   detection, high-speed rail production equipment and marine energy power generation   equipment monitoring.

Employment track（工作履历）

February 2009   – December 2011, University Lecturer, School of Mechanical Engineering, Qingdao   University of Technology, China.

January 2012   – December 2017, Assoc. Professor, School of Mechanical Engineering, Qingdao   University of Technology, China.

January   2018 – present, Professor, Vice   Dean, School, School of Mechanical and   Automotive Engineering (MAE), Qingdao University of Technology, China.

Professional Service （学术兼职）

1. Member   of Instrument Science and Technology Teaching Steering Committee of the   Ministry of Education

2. Member   of Group and intelligent integration branch of Chinese society of Mechanical   Engineering

3. Deputy   Secretary of mechanical and electrical engineering society of Qingdao

Research field（研究领域）

Mechanical   Engineering, Measurement and Instrumentation

Teaching（教学情况）

1. Numerical   control technology and machine tool, undergraduate course

2. Mechatronics   system design, undergraduate course

3. Engineering   testing technology, undergraduate course

4. Intelligent   monitoring and manufacturing Technology, Postgraduate course

5. Single   chip microcomputer interface technology, Postgraduate course

Scientific research（科研情况）

Current research interests

1. Visual   teleoperation and autonomous control of extraterrestrial robot

2. Assembly   monitoring based on deep learning technology

3. AR based   assembly guidance and intelligent factory visualization technology

Academic achievements（学术成果）

Selected   Research Projects:

1. Research on lunar robot assembly   skill learning and assembly process prediction based on consistent digital   twin model, Natural Science Foundation of China, 01/2022– 12/2025, PI.

2. Research on virtual reality   Fusion Teaching of industrial robot, Support plan for youth entrepreneurship   and technology of colleges in Shandong Province，10/2019-10/2022 PI.

3. On line scene perception and   feature intelligent extraction technology of manufacturing system, The   National Key Research and Development Program of China,01/2019- 12/2022, PI.

4. Research on assembly scene   understanding, assembly guidance and monitoring based on deep learning, Natural   Science Foundation of China, 01/2015–12/2018, PI.

5. Development of projection   augmented reality assembly maintenance guidance system, The Key Research and   Development Program of Shandong province, 08/2017 – 07/2019, PI.

6. Research on scene driven   augmented reality assembly and disassembly guidance of complex mechanical   equipment, Natural Science Foundation of China, 01/2012 – 12/2014, PI.

Selected   Publications：  

1. Chengjun Chen, Kai Huang,   Dongnian Li, Yong Pan, Zhengxu Zhao, Jun Hong, Assembly torque data   regression using sEMG and inertial signals, Journal of Manufacturing Systems,   2021,60.

2. Yong Pan, Chengjun Chen, Dongnian   Li, Zhengxu Zhao, Jun Hong, Augmented reality-based robot teleoperation   system using RGB-D imaging and attitude teaching device, Robotics and   Computer-Integrated Manufacturing, 2021,71,102167.

3. Chengjun   Chen, Yong Pan, Dongnian Li, Shilei Zhang, Zhengxu Zhao, Jun Hong, A virtual-physical   collision detection interface for AR-based interactive teaching of robot,   Robotics and Computer-Integrated Manufacturing, Volume 64, 2020, 101948.

4. Chengjun   Chen, Tiannuo Wang, Dongnian Li, Jun Hong, Repetitive assembly action   recognition based on object detection and pose estimation, Journal of   Manufacturing Systems, Volume 55(2020): 325-333.

5. Chengjun   Chen, Zhongke Tian, Dongnian Li, Lieyong Pang, Tiannuo Wang and Jun Hong,   Projection-based augmented reality system for assembly guidance and monitoring,   Assembly Automation, 2020, 44(1): 10-23.

6. Chen,   Chengjun, Zhang, Chunlin, Wang, Tiannuo, Li, Dongnian, Guo, Yang, Zhao,   Zhengxu, Hong, Jun. Monitoring of Assembly Process Using Deep Learning   Technology. Sensors, 2020, 20, 4208.

7. Dongnian Li, Chengjun Chen,   Tracking a hand in interaction with an object based on single depth images,   Multimedia Tools and Applications, 2019, 78(6): 6745–6762.

8. Chen, Chengjun, Huang, Kai, Li,   Dongnian, Zhao, Zhengxu, Hong, Jun. Multi-Segmentation Parallel CNN Model for   Estimating Assembly Torque Using Surface Electromyography Signals. Sensors   2020, 20, 4213.

9. Li, Dongnian, Guo, Yang,   Chen,Chengjun, Zhao,Zhengxu. Collaborative Differential Evolution Filtering   for Tracking Hand-Object Interactions. IEEE Access. 2020.

10. Li,   Dongnian, Li, Changming, Chen, Chengjun, Zhao, Zhengxu. Semantic Segmentation   of a Printed Circuit Board for Component Recognition Based on Depth Images,   Sensors. 2020.

11. Chengjun   Chen, Jun Hong, Shaofeng Wang. Automated positioning of 3D virtual scene in   AR-based assembly and disassembly guiding system. International Journal of   Advanced Manufacturing Technology, 2015, 76(5-8): 753-764.

Honors   and Awards

1. Third-class award for science and   technology in Universities of Shandong Province, 2016.