冷傑武(JIEWU LENG) 教授/博導

SME“傑出青年制造工程師”

廣東省計算機集成制造重點實驗室副主任

Elsevier中國高被引學者

廣東省傑出青年基金獲得者

中國博管會“香江學者”

出生年月: 1989年9月

籍 貫: 湖南常德

電子郵件: jwleng@gdut.edu.cn

聯系地址: 廣州市番禺大學城外環西路100号工二305-1室

冷傑武，男，1989年9月生，湖南常德人，西安交通大學2016屆機械工程專業博士、香港城市大學博士後、太阳成集团tyc234cc智能制造與機器人所黨支書/教授/博導、廣東省計算機集成制造重點實驗室副主任，省部共建精密電子制造技術與裝備國家重點實驗室核心成員。入選香江學者、Elsevier中國高被引學者(2021~2023)，獲得廣東省傑出青年基金。研究電子智能制造系統變型設計與運行優化及其工業軟件，主持國家重點研發課題、國防科工課題、國家自然科學面上基金、粵港合作項目等省部級課題10餘項，主持科研總經費1300萬元。擔任IEEE Transactions on Systems, Man, and Cybernetics-Systems(2022 IF=8.7)副主編、Journal of Intelligent Manufacturing(2022 IF=8.3)副主編、Proc. Inst. Mech. Eng., Part B: Journal of Engineering Manufacture (2022 IF=2.6)副主編、IET Collaborative Intelligent Manufacturing(2022 IF=8.2)副主編等8個JCR期刊編委，擔任國家科技部重點專項會評、國家自然科學基金重點項目函評、廣東省/浙江省/江蘇省省級科技項目評審專家。發表SCI論文100篇，其中一作/通訊50餘篇，其中入選ESI高被引/熱點論文14篇、中國百篇最具影響力國際學術論文1篇，谷歌學術被引8200餘次；參與制定IEEE标準4項，授權發明專利40餘件，其中第一發明人美國專利5件，獲國際制造工程師協會（SME）2025年度“傑出青年制造工程師獎”（1980年來内地就職第5人），獲廣東省技術發明一等獎1項(第三完成人)、河南省技術發明一等獎1項(第三完成人)、廣東省科技進步一等獎1項、機械工業科技獎科技進步一等獎1項。

https://teacher.gdut.edu.cn/lengjiewu/zh_CN/index.htm

https://orcid.org/my-orcid?orcid=0000-0003-4068-3910

https://scholar.google.com/citations?user=WygK_ooAAAAJ&hl=zh-CN&oi=ao

https://www.webofscience.com/wos/author/record/2105236

· 2022.07至今，太阳成集团tyc234cc智能制造與機器人研究所，黨支部書記/教授/博導

· 2019.01-2022.07，太阳成集团tyc234cc工業工程系，副教授

· 2018.11-2020.10，香港城市大學信息系統系，香江學者博士後（導師：趙建良）

· 2016.12-2018.12，太阳成集团tyc234cc工業工程系，講師

· 2011.09-2016.12，西安交通大學，機械工程專業，博士（導師：江平宇）

· 2007.09-2011.07，長安大學，機械設計制造及其自動化專業，本科

· 高密度器件工藝智能尋優及缺陷可解釋性溯源方法

· 開放式架構産線計算變型設計方法及數字孿生設計軟件

· 物理信息神經網絡設計與多模态生成式人工智能應用

· 高性能制造系統設計與運行優化方法

· 面向工業5.0的大規模個性化試制模式及韌性制造系統

· 50+ SCI Journal Papers (1^st or Corresponding author)

· Google Scholar Citations: 8200, H Index: 41 (2025-2)

· 授權第一發明人20件中國發明專利、5件美國專利

· 2025 Outstanding Young Manufacturing Engineer Award, SME’s International Awards & Recognition Committee.

· 2024年河南省優秀科技論文一等獎，“A safety management approach for Industry5.0's human-centered manufacturing based on digital twin” (5/8)

· 2023年河南省技術發明一等獎“‘人-機-環境’共融的高端裝備數字孿生關鍵技術及應用”（第三完成人，3/10）

· 2022年機械工業科學技術獎科技進步一等獎“多芯片高密度集成的電子基闆高精高效制造關鍵技術與應用”（12/15）

· 2020年廣東省技術發明一等獎“電子制造柔性産線變型設計與優化關鍵技術及應用”（第三完成人，3/15）

· 2020年廣東省專利優秀獎“一種智能車間平行控制方法及系統”

· 2018年廣東省科技進步一等獎“高端電子基闆多品種高精高效制造核心裝備、關鍵工藝及系統集成”（11/15）

· Associate Editor, IEEE Transactions on Systems, Man, and Cybernetics-Systems (2021 IF=11.5), 2022.3-now

· Associate Editor, Journal of Intelligent Manufacturing (2022 IF=8.3), 2024.1-now

· Associate Editor, IET Collaborative Intelligent Manufacturing (2022 IF=8.2), 2023.3-now

· Associate Editor, Proc. Inst. Mech. Eng., Part B: Journal of Engineering Manufacture (2022 IF=2.6), 2024.1-now

· Subject Editor, Energy Ecology and Environment (2022 IF=4.4), 2023.1-now

· Associate Editor, Journal of Ambient Intelligence and Humanized Computing (2021 IF=3.6), 2023.1-now

· Editorial Board Members, Scientific Reports, Nature (2021 IF=4.6), 2021.7-now

· Associate Editor, Frontiers in Mechanical Engineering (2022 IF=2.3), 2021.2-now

· Youth Editorial Committee, Complex System Modeling and Simulation (International Journal), 2023.12-now

· Committee Member, IEEE Computer Society Smart Manufacturing Standard Committee, 2022.12-2024.12

· Associate Editor, Blockchain (International Journal), 2022.3-now

· 《工業工程》期刊青年領域主編

· International Academic Committee, International Conference on Intelligent Factory Technology, Since 2024.

· 國家科技部科技項目立項會議評審專家

· 國家自然科學基金重點基金結題通訊評審專家

· 廣東省市場監督管理局知識産權行政保護技術調查官

· 廣東省、浙江省、江蘇省科技廳/自然科學基金委項目評審專家

· 廣東省技術經濟研究發展中心(含佛山市、中山市、珠海市等)科技項目指南編制/項目立項/項目結題評審專家

· Member, IEEE Systems, Man, and Cybernetics Society, since 2024

· Member, Society of Manufacturing Engineers (SME), since 2024

· 數字孿生青年學者委員會(中國)第一屆委員會，常務委員，2023.7-2025.6

· 中國機械工程學會，工業大數據與智能系統分會，委員

· 中國機械工程學會，成組與智能集成技術分會，委員

· 中國自動化學會，3D打印與社會制造專業委員會，委員

· 中國人工智能學會，智能制造專業專委會，委員

· 中國圖學會，數字孿生專業委員會，副秘書長

· 中國圖學會，智能工廠專業委員會，委員

· 中國圖學會，青年工作委員會，委員

· 廣東省機械工程學會副秘書長，2024.12-2029.12

· 廣東省計算機集成制造重點實驗室副主任

· 廣州生産力促進中心特聘專家

[1] 廣東省基礎與應用基礎研究基金，海上風電聯合基金項目，機理-數據混合驅動的海上風電裝備運行初期智能運維方法，2024.11-2027.10.31，30萬元，項目負責人。

[2] 廣東省科技廳重點高端外國專家項目，面向人本智造的人機協作方法(Lihui Wang)，2023.1-2024.11，20萬元，項目負責人。

[3] 廣東省科技廳與香港ITF聯合資助，粵港聯合項目，面向人本智能制造的人機協作裝配線換産快速重構方法，2024.7-2026.7，100萬元人民币财政資金+148萬港币ITC經費，項目負責人。

[4] 國家重點研發計劃“工業軟件”重點專項青年科學家項目，産品研發過程多層級數字孿生構建理論與應用技術，2023.12-2026.11，200萬元，任務負責人（60萬元）。

[5] 2024年度廣州市科技菁英“領航”項目，電子産線生成式設計與制造系統運行優化，2024.1-2027.3，30萬元，項目負責人。

[6] 2023年度廣東省高價值專利培育布局中心建設項目，高端裝備制造産業，2023.1-2023.12，30萬元，項目負責人。

[7] 國家重點研發計劃，國家質量基礎設施體系專項，高端裝備數字化測評與現場在線認可技術研究，2022.10-2025.9，146萬元，課題負責人。

[8] 廣東省自然科學基金傑出青年項目，高端電子智能制造系統定制設計與運行優化方法，2022.1-2025.12，100萬元，項目負責人。

[9] KGXM，課題負責人（130萬元）。

[10] 國家自然科學基金，面上項目，面向大規模個性化定制的高端PCB樣闆制造系統雙層智能優化運行方法，2021.1-2024.12，58萬元，項目負責人。

[11] 國家自然科學基金，聯合基金集成項目，高密度器件智能制造的基礎科學問題研究，2021.01-2024.12，1578萬元，參與。

[12] 國家科技部，科技創新2030新一代人工智能專項，“複雜制造環境下的協同控制與決策理論方法”，2020-01至2022-12，922萬元，任務負責人（52.8萬元）。

[13] 國家重點研發計劃，網絡協同制造和智能工廠專項，面向3C造産業集聚區域的網絡協同制造集成技術研究與示範，2019.12-2022.11，728萬元，核心成員。

[14] 廣東省重點領域研發計劃，智能機器人與裝備制造專項，面向3C行業的機器人生産線智能化三維設計與仿真優化系統，2019.01-2021.12，1000萬元，核心成員。

[15] 廣州市越秀區知識産權運營服務強區項目，支持重點實驗室、研發中心建設項目，2020.6-2021.6，50萬元，項目負責人。

[16] 華中科技大學數字制造裝備與技術國家重點實驗室，2020年開放課題，區塊鍊使能的制造系統數據追溯與流程優化方法，2020.01-2021.12，4萬元，課題負責人。

[17] 佛山市南海區廣工大數控裝備協同創新研究院科技創新重大平台建設項目，熱輔助直寫型3D打印的工藝及設備研發，32萬元，2021.07-2023.7，課題負責人。

[18] 成都市重點研發支撐計劃項目，基于區塊鍊技術的專利交易機制設計與應用研究，2020.7-2021.6，20萬元，項目負責人。

[19] 廣東省科技廳，自然科學基金面上項目，數字孿生驅動的制造信息物理系統融合建模仿真方法，2019-2022，10萬元，項目負責人。

[20] 廣東省科技廳與香港ITF聯合資助，粵港聯合項目，基于區塊鍊和智能合約的制造供應鍊管理與金融創新平台，2018-09至2020-08，100萬元人民币+237萬港币，項目負責人。

[21] "數字孿生技術創新團隊"，中央支持地方高校發展專項資金，2019.04 -- 2022.04，100萬，項目負責人。

[22] 香港學者協會與中國博士後管理委員會，“香江學者計劃”人才項目，2018.12-2020.12，30萬 RMB+30萬 HKD，項目負責人。

[23] 國家自然科學基金委，青年項目，去中心化共享區塊鍊驅動的制造社群自組織及其群體決策方法，2018.01-2020.12，24萬元，項目負責人。

[24] 太阳成集团tyc234cc，青年教師培育計劃重點課題，2018.01-2019.12，15萬元，項目負責人。

[25] 太阳成集团tyc234cc，“青年百人計劃”項目，2016.12-2021.12，10萬元，項目負責人。

[26] 參與完成973計劃課題、國家12-5科技支撐計劃課題、科技部創新方法專項等3項。

· Committee Member, IEEE Computer Society Smart Manufacturing Standard Committee, 2022.12~2024.12

· IEEE 3147-2024, IEEE Recommended Practice For Variant Design of Electronics Production Line, (Participant, published).

· IEEE C/S SM Standard P2806, Digital Representation, (Participant, Under developing)

· IEEE 3219-2023, IEEE Standard for Blockchain-Based Zero-Trust Framework for the Internet of Things, 8th Participant, Representative of Guangdong University of Technology.

· IEEE 2986-2023, IEEE Recommended Practice for Privacy and Security for Federated Machine Learning, 11th Participant, Representative of Guangdong University of Technology.

· IEEE 3187-2024, IEEE Guide for Framework for Trustworthy Federated Machine Learning, 5th Participant.

· 客座編輯(楊茂林、冷傑武、王柏村、李新宇)，《西安交通大學學報》“工業互聯網與制造服務”專輯，2025.01.

· 客座編輯(王昊琪、冷傑武、戚慶林、莊存波、陳劍)，《計算機集成制造系統》“新一代人工智能驅動的制造業數智化轉型”專輯，2024.09.

· 客座編輯(楊華勇、王力翚、王柏村、楊庚、劉庭煜、陶永、鄭湃、冷傑武、臧冀原)，《機械工程學報》“人本智造”專欄，2024.09.

· Managing Guest Editor (Qiang Liu, Dimitris Mourtzis, Ang Liu, Xi Gu, Jiewu Leng*, Ray Y. Zhong) of Special Issue “Manufacturing system design towards Industry 5.0” in International Journal of Computer-Integrated Manufacturing (2022 IF=4.1), 2024.04-2024.12

· Lead Guest Editor (Jiewu Leng, Dimitris Mourtzis, Lida Xu, Andrew Kusiak, Duc Truong Pham) of Special Issue “Resilient, Human-Centric, and Sustainable Manufacturing Systems towards Industry 5.0” in International Journal of Production Research (2022 IF=9.2), 2024.01-2024.12

· Lead Guest Editor (Jiewu Leng, Dimitris Mourtzis, Baicun Wang, and Thorsten Wuest) of Special Issue “Sustainable smart manufacturing system design configuration, operation, services towards Industry 5.0” in Energy Ecology and Environment (2022 IF=4.4), 2023.08-2024.03

· Guest Editor (Jun Deng, Fangxin Fang, David A. Hormuth, Jiewu Leng, Ang Liu) of Special Collection “Digital twins” in Scientific Report (2021 IF=4.6), 2023.09-2024.03

· Associate Editor of Special Issue “Blockchain Technology and Applications” in Decision Support Systems (2021 IF=6.9), 2022.10-2023.1

· Lead Guest Editor (Jiewu Leng, Wilson W.S. Liu, Xun Xu) of Special Collection “Digital twin technology” in Scientific Report (2021 IF=4.6), 2021.09-2022.03

· Lead Guest Editor (Jiewu Leng, Gang Xiong, Jinsong Bao, Qiang Liu) of Special Issue “Asymmetric and Symmetric Study on Digital Twins and Cyber-Physical-Social Systems” in Symmetry (2021 IF=2.6), 2021.03-2021.12

· Lead Guest Editor (Jiewu Leng, J. Leon Zhao, Shaokun Fan) of Special Issue “Blockchain and smart contracts towards Decentralized Applications in Industry 4.0” in Security and Communication Networks (2021 IF=1.9), 2021.09-2022.01

· 2023年度太阳成集团tyc234cc優秀研究生導師

· 2023年第九屆中國“互聯網+”大學生創新創業大賽省賽金獎，第一老師成員，可定制化的高端芯片系統級測試裝備（張浩等）

· 太阳成集团tyc234cc2021-2022學年優秀班主任

· 2022年中國大學生機械工程創新創意大賽智能制造賽二等獎，指導老師

· 2021年第七屆中國“互聯網+”大學生創新創業大賽銀獎（省賽金獎），第一指導老師，數字孿生系統——智能工廠設計與優化新利器（張浩等）

· 2021年教育部高等學校工業工程類專業優秀課程設計第一指導老師

· 太阳成集团tyc234cc2018-2019學年優秀班主任

· 太阳成集团tyc234cc課程思政試點課程《工程應用統計學》(廣工大教字〔2021〕11号)

· 廣東省高等教育教學改革項目（粵教高函(2023) 4号）（主要成員），《項目驅動與競教結合的智能制造拔尖人才培養》

· 2023 Top Trending Article of International Journal of Production Research (2022 IF 9.2)

· 2022 & 2021 Elsevier中國高被引學者（機械工程學科）

· 2022 & 2021 & 2020 World’s Top 2% Scientists (Elsevier BV, Stanford University)

· 2021 Outstanding Reviewers of Journal of Manufacturing Systems (1/2, 2021 IF: 8.6)

· 2021年中國百篇最具影響國際學術論文（JMS. 58: 52-64.通訊作者）

· 2020 ICEPT Best Student Paper Award

· 2020年第五屆廣東省期刊優秀作品二等獎（區塊鍊技術驅動的産消者自組織産品制造社群構建）

· 2019 Top Cited Article of International Journal of Production Research (2022 IF 9.2)

· 西安交通大學優秀博士學位論文“大規模個性化需求驅動的社群化制造網絡配置與決策方法研究”（2016屆）

· 2015 The 4th Term NSK Best Paper in Mechanical Engineering

[1] Jiewu Leng, Xiaofeng Zhu, Zhiqiang Huang, Xingyu Li, Pai Zheng, Xueliang Zhou, Dimitris Mourtzis, Baicun Wang, Qinglin Qi, Haidong Shao, Jiafu Wan, Xin Chen, Lihui Wang, and Qiang Liu* 2024. Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges. Journal of Manufacturing Systems. 73: 349-363. (ESI Top 1% Highly-cited Paper)

[2] Jiewu Leng, Xiaofeng Zhu, Zhiqiang Huang, Kailin Xu*, Zhihong Liu, Qiang Liu*, and Xin Chen 2023. ManuChain II: blockchained smart contract system as the digital twin of decentralized autonomous manufacturing towards resilience in Industry 5.0. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 53(8): 4715-4728. (ESI Top 1% Highly-cited Paper)

[3] Jiewu Leng, Weinan Sha, Zhisheng Lin, Jianbo Jing, Qiang Liu*, and Xin Chen 2023. Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards Industry 5.0. International Journal of Production Research. 61(13): 4302-4321. (Top Trending Article of IJPR)

[4] Jiewu Leng, Weinan Sha, Baicun Wang, Pai Zheng, Cunbo Zhuang, Qiang Liu*, Thorsten Wuest, Dimitris Mourtzis, and Lihui Wang 2022. Industry 5.0: Prospect and retrospect. Journal of Manufacturing Systems. 65: 279-295. (ESI Top 1‰ Hot Paper, Top-cited Article of JMS since 2021)

[5] Jiewu Leng, Man Zhou, J. Leon Zhao*, Yongfeng Huang, and Yiyang Bian 2022. Blockchain security: A survey of techniques and research directions. IEEE Transactions on Services Computing. 15(4): 2490-2510. (2022 ESI Top 1‰ Hot Paper)

[6] Jiewu Leng, Dewen Wang, Weiming Shen, Xinyu Li, Qiang Liu*, and Xin Chen 2021. Digital twins-based smart manufacturing system design in Industry 4.0: a review. Journal of Manufacturing Systems. 60(9):119-137. (2022 ESI Top 1‰ Hot Paper, Top-cited Article of JMS since 2021)

[7] Qiang Liu, Jiewu Leng*, Douxi Yan, Ding Zhang, Lijun Wei, Ailin Yu, Rongli Zhao, Hao Zhang, and Xin Chen 2021. Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system. Journal of Manufacturing Systems. 58: 52-64. (2022 ESI Top 1‰ Hot Paper, China's Top 100 Most Influential International Academic Papers in 2021, Top-cited Article of JMS since 2021)

[8] Jiewu Leng, Shide Ye, Man Zhou, J. Leon Zhao, Qiang Liu*, Wei Guo, Wei Cao, and Leijie Fu 2021. Blockchain-secured smart manufacturing in Industry 4.0: A survey. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51(1): 237-252. (ESI Top 1% Highly-cited Paper)

[9] Jiewu Leng, Qiang Liu*, Shide Ye, Jianbo Jing, Yan Wang, Chaoyang Zhang, Ding Zhang, and Xin Chen 2020. Digital twin-driven rapid reconfiguration of the automated manufacturing system via an open architecture model. Robotics and Computer-Integrated Manufacturing. 63: 101895. (ESI Top 1% Highly-cited Paper)

[10] Jiewu Leng, Guolei Ruan, Pingyu Jiang, Kailin Xu*, Qiang Liu, Xueliang Zhou, and Chao Liu 2020. Blockchain-empowered sustainable manufacturing and product lifecycle management in Industry 4.0: A survey. Renewable & Sustainable Energy Reviews. 132: 110112. (2022 ESI Top 1‰ Hot Paper)

[11] Jiewu Leng, Douxi Yan, Qiang Liu*, Kailin Xu, J. Leon Zhao, Rui Shi, Lijun Wei, Ding Zhang, and Xin Chen 2020. ManuChain: Combining permissioned blockchain with a holistic optimization model as bi-level intelligence for smart manufacturing. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 50(1): 182-192. (ESI Top 1% Highly-cited Paper)

[12] Jiewu Leng, Hao Zhang, Douxi Yan, Qiang Liu*, Xin Chen, and Ding Zhang 2019. Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop. Journal of Ambient Intelligence and Humanized Computing. 10: 1155–1166. (ESI Top 1% Highly-cited Paper)

[13] Qiang Liu, Hao Zhang, Jiewu Leng*, and Xin Chen 2019. Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system. International Journal of Production Research. 57(12), 3903-3919. (ESI Top 1% Highly-cited Paper, 2019 Top Cited Article of IJPR)

[14] Jiewu Leng, and Pingyu Jiang* 2019. Dynamic scheduling in RFID-driven discrete manufacturing system by using multi-layer network metrics as heuristic information. Journal of Intelligent Manufacturing. 30(3): 979–994. (2019 ESI Top 1% Highly-cited Paper)

[15] Hao Zhang, Qiang Liu, Xin Chen, Ding Zhang, and Jiewu Leng* 2017. A digital twin-based approach for designing and multi-objective optimization of hollow glass production line. IEEE Access. 5: 26901-26911. (ESI Top 1% Highly-cited Paper)

[16] Jiewu Leng, Pingyu Jiang*, and Mei Zheng 2017. Outsourcer–supplier coordination for parts machining outsourcing under social manufacturing. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 231(6): 1078-1090. (2017 ESI Top 1% Highly-cited Paper)

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[17] Jiewu Leng, Junxing Xie, Rongjie Li, Xueliang Zhou, Xi Gu, Qiang Liu*, Xin Chen, Wenjun Zhang, and Andrew Kusiak* 2025. Resilient Manufacturing: A Review of Disruptions, Assessment, and Pathways. Journal of Manufacturing Systems. 79: 563-583.

[18] Jiewu Leng, Jiwei Guo, Junxing Xie, Xueliang Zhou, Ang Liu, Xi Gu, Dimitris Mourtzis, Qinglin Qi, Qiang Liu*, Weiming Shen, and Lihui Wang 2025. Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers. Journal of Manufacturing Systems. 79: 528-562.

[19] Jiewu Leng, Rongjie Li, Junxing Xie, Xueliang Zhou, Xiang Li, Qiang Liu*, Xin Chen, Weiming Shen, and Lihui Wang 2025. Federated learning-empowered smart manufacturing and product lifecycle management: A review. Advanced Engineering Informatics. 65: 103179.

[20] Chong Chen, Kuanhong Zhao, Jiewu Leng*, Chao Liu, Junming Fan, and Pai Zheng 2025. Integrating Large Language Model and Digital Twins in the Context of Industry 5.0: Framework, Challenges and Opportunities. Robotics and Computer-Integrated Manufacturing. 94: 102982

[21] Jun Lin, Zhiqiang Huang, Tengliang Zhu, Jiewu Leng*, and Kai Huang* 2024. Deep Reinforcement Learning-Based Robotic Puncturing Path Planning of Flexible Needle. Processes. 2024; 12(12): 2852.

[22] Tariku Sinshaw Tamir, Xijin Hua, Jingchao Jiang, Jiewu Leng*, Gang Xiong, Zhen Shen, Qiang Liu 2024. Data-driven and physics-assisted machine learning approach for warpage classification and process parameter optimization in a 3D-printed BeltClip. IEEE Transactions on Computational Social Systems. doi:10.1109/TCSS.2024.3512614.

[23] Rongli Zhao, Mengyang Xie, Guangxin Zou, Yuan Xie, Jiewu Leng*, and Qiang Liu 2024. A digital twin-driven pre-grasp path planning method for robotic deep-frame grasping of disordered workpieces. Proc IMechE Part B: J Engineering Manufacture. DOI: 10.1177/09544054241302663.

[24] Longlong He, Jiani Gao, Jiewu Leng*, Yue Wu, Kai Ding, Lin Ma, Jie Liu, Duc Truong Pham 2024. Disassembly sequence planning of equipment decommissioning for Industry 5.0: Prospects and retrospect. Advanced Engineering Informatics. 62(D): 102939.

[25] Tariku Sinshaw Tamir, Frehiwot Bayelign Teferi, Xijin Hua, Jiewu Leng*, Gang Xiong, Zhen Shen & Qiang Liu 2024. A review of advances in 3D and 4D bioprinting: Toward mass individualization paradigm. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-024-02529-6

[26] Jiewu Leng, Guolei Ruan, Caiyu Xu, Xueliang Zhou, Kailin Xu*, Yan Qiao, Zhihong Liu, and Qiang Liu* 2024. Deep reinforcement learning of graph convolutional neural network for resilient production control of mass individualized prototyping towards Industry 5.0. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 54(11): 7092-7105.

[27] Jiewu Leng, Jiwei Guo, Junxing Xie, Xueliang Zhou, Ang Liu, Xi Gu, Dimitris Mourtzis, Qinglin Qi, Qiang Liu*, Weiming Shen, and Lihui Wang 2024. Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part I): Design thinking and modeling methods. Journal of Manufacturing Systems. 76: 158-187.

[28] Junlang Guo, Jiewu Leng*, J. Leon Zhao, Xueliang Zhou, Yu Yuan, Yuqian Lu, Dimitris Mourtzis, Qinglin Qi, Sihan Huang, Xueguan Song, Qiang Liu, and Lihui Wang 2024. Industrial metaverse towards Industry 5.0: Connotation, architecture, enablers, and challenges. Journal of Manufacturing Systems. 76: 25-42.

[29] Tariku Sinshaw Tamir, Gang Xiong, Zhen Shen, Jiewu Leng* 2024. Physics-driven data collection in 3D printing: Traversing the realm of social manufacturing. IEEE Transactions on Computational Social Systems. 10.1109/TCSS.2024.3407823.

[30] Jiewu Leng, Jiwei Guo, Dewen Wang, Yuanwei Zhong, Kailin Xu*, Sihan Huang, Jiajun Liu, Chunyang Yu, Zhipeng Ye, and Qiang Liu 2024. Blockchain-of-things-based edge learning contracts for federated predictive maintenance towards resilient manufacturing. IEEE Transactions on Computational Social Systems. 10.1109/TCSS.2024.3395467.

[31] Jiewu Leng, Yuanwei Zhong, Zisheng Lin, Kailin Xu*, Dimitris Mourtzis, Xueliang Zhou, Pai Zheng, Qiang Liu*, J. Leon Zhao, and Weiming Shen 2023. Towards resilience in Industry 5.0: A decentralized autonomous manufacturing paradigm. Journal of Manufacturing Systems. 71: 95-114.

[32] Jiewu Leng, Jiwei Guo, Hu Zhang, Kailin Xu*, Yan Qiao, Pai Zheng, and Weiming Shen 2023. Dual deep reinforcement learning agents-based-integrated order acceptance and scheduling of mass individualized prototyping. Journal of Cleaner Production. 427: 139249.

[33] Tariku Sinshaw Tamira, Gang Xiong, Zhen Shen, Jiewu Leng∗, Qihang Fang, Yong Yang, Jingchao Jiang, Ehtisham Lodhi, and Fei-Yue Wang 2023. 3D printing in materials manufacturing industry: A realm of Industry 4.0. Heliyon. e19689.

[34] Jiewu Leng, Zisheng Lin, Zhiqiang Huang, Ruijun Ye, Qiang Liu*, and Xin Chen 2024. Rapid simplification of 3D geometry model of mechanisms in the digital twins-driven manufacturing system design. Journal of Intelligent Manufacturing. 35: 2765-2786.

[35] Rongli Zhao, Zeren Bao, Wanyu Xiao, Shangwen Zou, Guangxin Zou, Yuan Xie, and Jiewu Leng* 2023. Fast grasping technique for differentiated mobile phone frame based on visual guidance. Machines. 2023, 11: 689.

[36] Jiewu Leng, Zisheng Lin, Man Zhou, Qiang Liu*, Pai Zheng, Zhihong Liu, and Xin Chen 2023. Multi-layer parallel transformer model for detecting product quality issues and locating anomalies based on multiple time‑series process data in Industry 4.0. Journal of Manufacturing Systems. 70: 501-513.

[37] Jiewu Leng, Ziying Chen, Weinan Sha, Shide Ye, Qiang Liu*, and Xin Chen 2022. Cloud-edge orchestration-based bi-level autonomous process control for mass individualization of rapid printed circuit boards prototyping services. Journal of Manufacturing Systems. 63: 143-161.

[38] Fuqiang Zhang, Lei Wu, Weichen Liu, Kai Ding, Jizhuang Hui, Jiewu Leng*, and Xueliang Zhou 2022. Evolutionary game-based incentive models for sustainable trust enhancement in a blockchained shared manufacturing network. Advanced Engineering Informatics. 54: 101791.

[39] Jiewu Leng, Ziying Chen, Zhiqiang Huang, Xiaofeng Zhu, Hongye Su, Zisheng Lin, and Ding Zhang* 2022. Secure blockchain middleware for decentralized IIoT towards Industry 5.0: A review of architecture, enablers, challenges, and directions. Machines. 10(10): 858.

[40] Jiewu Leng, Ziying Chen, Weinan Sha, Zisheng Lin, Jun Lin*, and Qiang Liu 2022. Digital twins-based flexible operating of open architecture production line for individualized manufacturing. Advanced Engineering Informatics. 53: 101676.

[41] Jiewu Leng, Dewen Wang, Xin Ma, Pengjiu Yu*, Li Wei, and Wenge Chen 2022. Bi-level artificial intelligence model for risk classification of acute respiratory diseases based on Chinese clinical data. Applied Intelligence. 51(11): 13114-13131.

[42] Jiewu Leng, Man Zhou, Yuxuan Xiao, Hu Zhang, Qiang Liu*, Weiming Shen, Qianyi Su, and Longzhang Li 2021. Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems. Journal of Cleaner Production. 306C: 127278.

[43] Douxi Yan, Qiang Liu, Jiewu Leng*, Ding Zhang, Rongli Zhao, Hao Zhang, and Lijun Wei 2021. Digital twin-driven rapid customized design of board-type furniture production line. Journal of Computing and Information Science in Engineering (Transactions of the ASME). 21(3): 031011.

[44] Lei Wu, Jiewu Leng*, and Bingfeng Ju 2021. Digital twins-based smart design and control of ultra-precision machining: A review. Symmetry 13(9): 1717.

[45] Jiewu Leng, Guolei Ruan, Yuan Song, Qiang Liu*, Yingbin Fu, Kai Ding, and Xin Chen 2021. A loosely-coupled deep reinforcement learning approach for order acceptance decision of mass-individualized printed circuit board manufacturing in Industry 4.0. Journal of Cleaner Production. 280(2): 124405.

[46] Jiewu Leng, Douxi Yan, Qiang Liu*, Hao Zhang, Gege Zhao, Lijun Wei, Ding Zhang, Ailin Yu, and Xin Chen 2021. Digital twin-driven joint optimisation of packing and storage assignment in large-scale automated high-rise warehouse product-service system. International Journal of Computer Integrated Manufacturing. 34(7-8): 783-800.

[47] Jiewu Leng, Pingyu Jiang*, Chao Liu, and Chuang Wang 2020. Contextual self-organizing of manufacturing process for mass individualization: a cyber-physical-social system approach. Enterprise Information Systems. 14(8):1124-1149.

[48] Jiewu Leng, Pingyu Jiang, Kailin Xu*, Qiang Liu, J. Leon Zhao, Yiyang Bian, and Rui Shi 2019. Makerchain: A blockchain with chemical signature for self-organizing process in social manufacturing. Journal of Cleaner Production. 234: 767-778.

[49] Rongli Zhao, Douxi Yan, Qiang Liu, Jiewu Leng*, Jiafu Wan, Xin Chen, and Xiafeng Zhang 2019. Digital twin-driven cyber-physical system for autonomously controlling of micro punching system. IEEE Access. 7: 9459-9469.

[50] Jiewu Leng, and Pingyu Jiang* 2018. Evaluation across and within collaborative manufacturing networks: a comparison of manufacturers’ interactions and attributes. International Journal of Production Research. 56(15), 5131-5146.

[51] Jiewu Leng, Qingxin Chen, Ning Mao, and Pingyu Jiang* 2018. Combining granular computing technique with deep learning for service planning under social manufacturing contexts. Knowledge-Based Systems. 143: 295-306.

[52] Jiewu Leng, and Pingyu Jiang* 2017. Mining and matching relationships from interaction contexts in a social manufacturing paradigm. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 47(2): 276-288.

[53] Jiewu Leng, and Pingyu Jiang* 2017. Granular computing–based development of service process reference models in social manufacturing contexts. Concurrent Engineering: Research and Applications. 25(2): 95-107.

[54] Jiewu Leng, and Pingyu Jiang* 2016. A deep learning approach for relationship extraction from interaction context in social manufacturing paradigm. Knowledge-Based Systems. 100: 188-199.

[55] Jiewu Leng, Pingyu Jiang*, and Kai Ding 2014. Implementing of a three-phase integrated decision support model for parts machining outsourcing. International Journal of Production Research. 52(12): 3614-3636.

 [1] 區塊鍊工業應用技術，機械工業出版社，2023，教材，孔憲光、殷磊、冷傑武等編

 [2] Vikas Kumar, Jiewu Leng, Victoria Akberdina, Evgeny Kuzmin. 2022. Digital Transformation in Industry - Digital Twins and New Business Models (Springer Book). Springer Nature Switzerland AG. (Series ISSN 2195-4968)

[3] Jiewu Leng and Pingyu Jiang. 2019. Chapter 3 Socialized Manufacturing Resources and Interconnections. In: Social Manufacturing: Fundamentals and Applications(英文專著中的章節，主編: 江平宇), pp: 50-65. Springer Series in Advanced Manufacturing (叢書主編: 英國皇家工程院院士Duc Truong Pham). Springer, Cham. doi.org/10.1007/978-3-319-72986-2_3

[4] Jiewu Leng, Wei Guo and Pingyu Jiang. 2019. Chapter 4 Social Business Relationship and Organizational Network. In: Social Manufacturing: Fundamentals and Applications, pp: 67-92. Springer Series in Advanced Manufacturing. Springer, Cham. doi.org/10.1007/978-3-319-72986-2_4

 [5] Jiewu Leng, Jiajun Liu and Pingyu Jiang. 2019.Chapter 9 Blockchain Models for Cyber-Credits of Social Manufacturing. In: Social Manufacturing: Fundamentals and Applications, pp: 197-217. Springer Series in Advanced Manufacturing. Springer, Cham. doi.org/10.1007/978-3-319-72986-2_9

[6] Jiewu Leng and Pingyu Jiang. 2019. Chapter 10 Configuration of Social Manufacturing System. In: Social Manufacturing: Fundamentals and Applications, pp: 219-243. Springer Series in Advanced Manufacturing. Springer, Cham. doi.org/10.1007/978-3-319-72986-2_10

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[1] 組織委員會委員，精密電子制造工藝力學面臨的機遇和挑戰研讨會，2024年12月20-22日，中國廣州。

[2] 分會主席，第二屆人本智造學術會議，2024年12月20-22日，中國南京。

[3] 程序委員會副主席，2024年全國先進生産系統理論與應用研讨會暨海上絲綢之路國際産學研用合作會議-智能制造論壇，2024年12月13-15日，中國廣州。

[4] 大會主持人，2023年廣東省機械工程學會制造業信息化分會換屆大會暨制造業信息化學術研讨會，2023年12月17日，中國廣州。

[5] 大會主持人，2023年海上絲綢之路國際産學研用合作會議-智能制造專題研讨會，2023年11月18日，中國廣州。

[6] Chair of Invited Speeches, The 20th International Manufacturing Conference in China (IMCC), November 23-26, 2023 Chongqing, China.

[7] Session Chair, 2023 NSFC-RGC Conference on Frontiers of Industrial Big Data and Intelligent Systems, April 28th - May 1st, 2023, Hong Kong, China.

[8] 組織委員會委員，2023華人學者工業工程國際年會暨第十三屆全球華人工業工程與物流管理院長系主任聯席會，廣州，2023.8.10-12.

[9] Program committee, 14th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2023), Naples, 4-6 December 2023.

[10] Program committee, 2023 26th IEEE International Conference on Computer Supported Cooperative Work in Design, May 24-26, 2023, Rio de Janeiro, Brazil.

[11] Host, 2022 Maritime Silk Road International Conference on the Cooperation and Integration of Industry, Education, Research, and Application – Symposium on Smart Manufacturing. 2022.11.30, Guangzhou, China.

[12] Scientific Advisory Committee, International Scientific Conference on Digital Transformation of Industry, 2021~2023, Ekaterinburg (Russian Federation).

[13] 分會場特邀報告主席, 第六屆數字孿生與智能制造服務學術會議，2022年07月，中國南京，“系統與應用”分會場。

[14] Program committee, European Interdisciplinary Cybersecurity Conference 2022, Jun 15, 2022 - Jun 16, 2022, Barcelona, Spain.

[15] Program committee, 2022 25th IEEE International Conference on Computer Supported Cooperative Work in Design, May 4-6, 2022, Hangzhou, China.

[16] Organization Committee of Special Session, IEEE CASE 2019, Vancouver BC, Canada, 2019.8.22-26.

[17] 會務總負責人, 第三屆數字孿生與智能制造服務學術會議，2019年07月，中國廣州。

[18] Session Chair, CIRP iPS2 2019, Hong Kong & Zhuhai, China, 2019.5.29-31.

[19] Program Co-Chair, Symposium on Blockchain Technology and Application, Hong Kong, China, 2019.1.12-13.

[20] Session Chair, IEEE ICNSC 2018, Zhuhai, China, 2018.3.27-29.

[21] Session Chair, IEEE ICMA 2015, Beijing, China, 2015.8.2-5.

[1] 中國圖學學會“圖創未來”科普講座2024年度第五期(總第18期)，2024年12月4日，線上，“生産車間怎麼設計？數字孿生是一個好工具！”，講座報告人，冷傑武。

[2] 2024年全國工業設計青年學術會議，2024年12月18-20日，中國杭州，“生産系統數字孿生設計”，分會報告，冷傑武。

[3] 全國高等學校制造自動化研究會第二十一屆學術年會，2024年8月24日，中國佛山，“數字孿生驅動的開放式架構産線變型設計及優化”，大會報告，冷傑武。

[4] 中國圖學學會第七屆“奮發圖強”青年科學家論壇，2024年7月20日，中國大連，“數字孿生驅動的開放式架構産線變型設計及優化”，大會論壇報告，冷傑武。

[5] The First International Conference on Intelligent Factory Technology, Nanjing, China, April 20-22, 2024, “Digital twins-based variant design of open architecture production line”, Invited Speech, Jiewu Leng.

[6] 2023年鄭州大學管理科學與工程博士後論壇，2023年12月20日，中國鄭州，“面向大規模個性化定制的電子制造系統設計與運行優化”，大會主題報告，冷傑武。

[7] 20th International Manufacturing Conference in China (IMCC), Chongqing, China, November 23-26, 2023. “Smart design and optimization of electronics manufacturing systems toward mass individualization”, Invited Speaker, Jiewu Leng.

[8] 2023年海上絲綢之路國際産學研用合作會議-智能制造專題研讨會，2023年11月18日，中國廣州，“電子制造系統設計與運行優化”，大會主題報告，冷傑武。

[9] 第七屆數字孿生與智能制造服務學術會議，數字孿生人與人本智造專題，2023-7-29，中國濟南，“面向人本智造的電子制造人機雙工産線開放式架構設計及優化”，大會主題報告，冷傑武。

[10] 2022中國自動化大會工業智能驅動的調度優化與協同決策論壇，2022-11-27，中國廈門，“面向大規模個性化定制的電子制造系統設計與運行優化”，分論壇報告，冷傑武。

[11] The 2nd DT International Conference (DigiTwin2022)，2022-9-28， Online (Sydney)，“Smart design and optimization of electronics manufacturing systems toward mass individualization”. Invited Speaker, Jiewu Leng.

[12] The 7th International Conference on Smart Finance，2022-08-19，Online，基于區塊鍊和智能合約的制造供應鍊管理，分會報告，冷傑武。

[13] 中國機械工程學會 成組與智能集成技術分會 2021年度學術會議，2022-1-22，線上，面向大規模個性化定制的電子制造系統定制設計與運行優化，會議主題報告，冷傑武。

[14] 第五屆數字孿生與智能制造服務學術會議，2021年07月17日，中國上海，高端電子智能制造系統定制設計與運行優化方法，分會報告，冷傑武。

[15] 2019年第五屆大數據産學研高峰論壇，2019年12月7日-9日，中國廣州，融合數字孿生與區塊鍊的大規模個性化制造，分論壇邀請報告，冷傑武。

[16] 第二屆數字孿生與智能制造服務學術會議，2018年07月，中國鄭州，融合數字孿生與區塊鍊的大規模個性化制造，分會報告，冷傑武。

[1] 李寬元，2016級碩士(聯合指導)，深圳市海柔創新科技，運籌優化算法工程師

[2] 張磊，2016級碩士(聯合指導)，中望龍騰軟件，産品經理

[3] 趙閣閣，2016級碩士(聯合指導)，中移在線服務，數據分析工程師

[4] 嚴都喜，2016級碩士/2023屆博士(聯合指導)(2次獲國家獎學金)，太阳成集团tyc234cc博士後(廣東省青年優秀人才國際培養計劃)

[5] 宋源，2017級碩士(聯合指導)，松靈機器人，視覺工程師

[6] 景建波，2018級碩士，中國工商銀行，研發工程師

[7] 葉仕德，2018級碩士(聯合指導)，美的，後端開發工程師

[8] 葉銳軍，2018級碩士(聯合指導)，廣汽乘用車，車間管理

[9] 蘇倩怡，2018級碩士(聯合指導)，順德農商銀行，技術開發工程師

[10] 張虎，2019級碩士，廣汽研究院，需求開發工程師

[11] 鄧文順，2019級碩士(聯合指導)(本校推免生，獲國家獎學金)，華為，軟件開發工程師

[12] 阮國磊，2019級碩士(獲國家獎學金)，彙川技術數字化事業部，後端開發工程師

[13] 周滿，2020級碩士生(獲國家獎學金)，廣西貴港彙誠木業，總經理

[14] 王德文，2020級碩士生(獲國家獎學金)，肇慶金利高新技術産業開發區管理委員會

[15] 沙偉男，2021級碩士生(獲國家獎學金)，上海交通大學，博士生

[16] 陳梓穎，2021級碩士生(獲國家獎學金)，深圳市英威騰電氣，大數據分析軟件工程師

[17] 黃志強，2021級碩士生，科華數據，結構崗

[18] 林梓生，2021級碩士生(獲國家獎學金)，安克創新，結構工程師

[19] 王偉頃，2021級非全日制工業工程碩士生

[20] 朱曉峰，2022級碩士生(獲國家獎學金)

[21] 郭繼蔚，2022級碩士生(獲國家獎學金)

[22] 徐才宇，2023級碩士生(本校推免生)

[23] 鐘元蔚，2023級碩士生(獲國家獎學金)

[24] 鄭恪悠，2023級碩士生

[25] 李榮傑，2023級碩士生

[26] 謝俊星，2023級碩士生

[27] 歐楚暄，2023級非全日制工業工程碩士生

[28] 邵楚培，2023級非全日制工業工程碩士生

[29] 程麟添，2023級非全日制工業工程碩士生

[30] 周連弘，2024級學術型博士生

[31] 朱熔熔，2024級工程型博士生

[32] 劉澤安，2024級碩士生

[33] 李嘉和，2024級碩士生

[34] 蘇栩洋，2024級碩士生

[35] 張錢威，2024級碩士生

[36] 呂浩，2024級碩士生

[37] 王鋼，2024級碩士生

[38] 朱騰良，2024級碩士生

[39] 林大琪，2024級非全日制工業工程碩士生

[40] 嚴允明，2024級非全日制工業工程碩士生

[41] 吳蔚岚，2024級非全日制工業工程碩士生

[42] 庫得來提，2024級非全日制工業工程碩士生