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Dr. Yuanju Qu: Industrial engineering

Associate Researcher at Shenzhen University, china

Dr. Yuanju Qu is an accomplished researcher and Associate at Shenzhen University, specializing in Smart Manufacturing and Operations Research. With a Ph.D. in Mechanical Engineering from Shanghai Jiaotong University, he has a rich academic background. His diverse roles include serving as a Quality Engineer at IES Hengfeng Technology. Yuanju’s work spans publications in esteemed journals, multiple patents, and active involvement in cutting-edge projects, emphasizing his expertise in areas like dynamic production scheduling and IoT-based intelligent systems. His commitment to advancing Smart Manufacturing is evident in his ongoing research and contributions to the field.๐ŸŒ

Professional Profiles:

Scopus Profile

Orcid Profile

GoogleScholar profile

ResearchGate profile

๐Ÿ‘จโ€๐Ÿซ Work Experience:

๐Ÿ’ผCurrent: Associate Researcher at Shenzhen University since Dec. 2020. Quality Engineer at IES Hengfeng Technology (Dongguan) Limited, Sep 2007 – Sep 2013.ย ย  ๐ŸŒ๐Ÿ‘ฉโ€๐Ÿ”ฌ

๐ŸŽ“ย Educational Background:

Ph.D. in Mechanical Engineering (Industrial Engineering), Shanghai Jiaotong University, China (QS: 43), Sep 2014 – Sep 2020. Master in Mechanical Manufacturing and Automation, Shenyang Ligong University, China, Sep 2009 – Jun 2013. Bachelor in Mechanical Manufacturing and Automation, Henan University of Science and Technology, China, Sep 2005 – Jul 2007. Mechatronics, Kaifeng University, China, Sep 2002 – Jul 2005.

๐ŸŒ Professional Experience:

Engaged in various research projects focusing on product quality prediction, quality traceability, and design of smart manufacturing systems. Holds expertise in areas such as process optimization, system requirements analysis, and enterprise information systems in smart manufacturing.

๐ŸŒŸ Patents:

Holder of multiple patents, including inventions related to dynamic production scheduling, root canal monitoring, IoT intelligent toilets, and software copyrights for air compressor quality prediction.

Research Interests:

Smart Manufacturing, Operations Research, Optimization, Prognostics and Health Management

Research Focus:ย 

Yuanju Qu’s research focuses on advancing Smart Manufacturing ๐Ÿญ and Operations Research. His work, including “Self-decision Mechanisms of Smart Production Systems” and “Multistakeholderโ€™s Sustainable Requirement Analysis for Smart Manufacturing Systems,” highlights his commitment to innovation. ๐Ÿš€ With a keen interest in emerging technologies, his contributions to “Smart manufacturing systems: state of the art and future trends” demonstrate foresight into the industry’s trajectory. ๐Ÿ’ก Additionally, his expertise extends to integrating fuzzy models and developing frameworks for online Prognostic and Health Management, showcasing a holistic approach to Industry 4.0. ๐ŸŒ Yuanju Qu excels in creating efficient processes through Closed-loop Kaizen and discrete event simulation, contributing significantly to manufacturing excellence.

Peer Reviewer & Academic Engagements:ย 

Dr. Yuanju Qu citation metrics and indices from Google Scholar are as follows:

Citations: 1395 (All), 1340 (Since 2018)
h-index: 16 (All), 16 (Since 2018)
i10-index: 18 (All), 18 (Since 2018)

Publications: 25 documents indexed in Scopus

Publications (TOP NOTES)

cited by: 3, publication date: 2023/4/11.
Yuanju Qu | Industrial engineering | Best Researcher Award

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