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Biography

Dr. Zhenyong Wu received his PhD degree in industrial engineering from Shanghai Jiao Tong University (SJTU) in 2014, China. He worked at National University of Singapore for more three years (2017–2020). He is currently working at the School of Management Science and Engineering at Nanjing University of Information Science and Technology. His current research interests include knowledge management and service, logistics simulation and optimisation, digital twin-driven warehouse design and operation. Dr. Wu has published more than 30 academic papers, and most of his research has been published in International Journal of Production Research, Journal of Intelligent Manufacturing, Computers in Industry, Information Science, International Journal of Computer Integrated Manufacturing, and other international peer-reviewed journals. His research has been cited more than 1500 times in Google Scholar with an H-index of 17. Dr. Wu has also obtained seven authorized national invention patents. He is the Principal Investigator of six research projects.

Research Interests

Data-driven Decision Making, Knowldge Service, Logistics Simulation and Optimization 

Selected Publishment

[1] Wu, Z., Tan, J., Wu, H., & Zha, W.  Generative adversarial network model-based knowledge recommendation with knowledge graph in product design. Journal of Engineering Design, 2025, 1–31. https://doi.org/10.1080/09544828.2025.2450764.  (Q1)

[2] Wu Z., Zhou R., Mark Goh, Wang Y., Xu Z., Song W.. A digital twin-based modularized design approach for smart warehouses. International Journal of Computer Integrated Manufacturing, 2023, 37(10–11), 1404–1425. (Q1)

[3] Guo R., Wu Z.*. Social sustainable supply chain performance assessment using hybrid fuzzy-AHP–DEMATEL–VIKOR: a case study in manufacturing enterprises. Environment, Development and Sustainability, 2023, 25: 12273–12301. (Q1)

[4] Wu Z., He L., Ming X., Mark Goh. Service-oriented knowledge recommender system and performance evaluation in industrial product development. International Journal of Production Research, 2022, 60(20):6226-6247. (Q1)

[5] Wu Z., He L., Wang Y., Mark Goh, Ming X.. Knowledge recommendation for product development using integrated rough set-information entropy correction, Journal of Intelligent Manufacturing, 2020, 31(6), 1559–1578. (Q1, ESI high cited & hot paper)

[6] Wu Z., Liu H., Goh Mark, Knowledge recommender system for complex product development using ontology and vector space model, Concurrent Engineering: Research and Applications, 2019, 27(4), 347–360. (Q2)

[7] Wu Z., Liao J., Song W., Mao H., Huang Z., Li X., Mao H.. Semantic hyper-graph-based knowledge representation architecture for complex product development. Computers in Industry, 100 (2018) 43-56. (Q1)

[8] Wu Z., Liao J., Song W., Mao H., Huang Z., Li X., Mao H.. Product lifecycle-oriented knowledge services: status review, framework, and technology trends. Concurrent Engineering: Research and Applications, 2017. 25(1), p.81-92.(Q2)

[9] Wu Z., Ming X., He L., Li M., Li X.. Knowledge Integration and Sharing for Complex Product Development. International Journal of Production Research, 2014. 52(21), p. 6296-6313.(Q1)

[10] Wu Z., Ming X., Wang Y., Wang L.. Technology Solutions for Product Lifecycle Knowledge Management: Framework and a Case Study. International Journal of Production Research, 2014. 52(21), p. 6314-6334. (Q1)

[11] Zhang L., Su C., Jin Y., Mark Goh, Wu Z.*. Cross-network dissemination model of public opinion in coupled networks. Information Science. 451-452 (2018), p. 240-252.  (Q1)

[12] Li X., Wu Z.*, Mark Goh, Qiu S.. Ontological knowledge integration and sharing for collaborative product development. International Journal of Computer Integrated Manufacturing, 2018. 31(3), p.275-288.（Q1）

Teaching

Bachelor

(1) Big Data Analytics and Application (International students, English)

(2) Supply Chain Management (International students, English)

(3) Supply Chain Management (Chinese)

(4) Computer Network (Chinese)

Master

MacroEconometrics (MSc, English)